Helps you centrally manage and govern your environment as you scale your AWS resources. Essential for implementing account separation and organizational security policies.
Provides a simplified way to set up and govern a secure, multi-account AWS environment based on best practices. Automates the setup of baseline security controls.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps maintain compliance with security standards.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables infrastructure as code and consistent security control deployment.
Gives you visibility and control of your infrastructure on AWS. Helps automate security operations and maintain compliance at scale.
Helps you centrally manage and govern your environment as you scale your AWS resources. Enables you to centrally manage policies across multiple AWS accounts.
Provides a simplified way to set up and govern a secure, multi-account AWS environment based on best practices. Automates the setup of a landing zone and implements guardrails for security, compliance, and operations.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Provides a single place to assign users and groups access to accounts and applications.
Records API calls for your account and delivers log files to you. Provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with security standards and best practices through continuous monitoring.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Aggregates, organizes, and prioritizes security alerts from multiple AWS services.
Enables you to manage access to AWS services and resources securely. Use IAM to create administrative users instead of using the root user.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor root user activity and detect unauthorized access attempts.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alerts for root user activity and other security-related events.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to restrict root user actions.
Provides a comprehensive view of your security state in AWS. Includes checks for root user security best practices.
Helps you continuously audit your AWS usage to simplify how you assess risk and compliance with regulations and industry standards. Provides pre-built frameworks for common compliance standards.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Includes automated compliance checks for various security standards.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with internal policies and regulatory standards through continuous monitoring.
Automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices.
Records API calls for your account and delivers log files to you. Provides event history of your AWS account activity for security analysis, resource change tracking, and compliance auditing.
Monitors your AWS resources and the applications you run on AWS in real time. Helps you collect and track metrics, collect and monitor log files, and set alarms for security-related events.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Aggregates, organizes, and prioritizes security alerts from multiple AWS services.
Provides intelligent threat detection for your AWS accounts and workloads. Continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts and workloads.
Automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices.
Provides recommendations that help you follow AWS best practices. Trusted Advisor evaluates your account using checks, including security checks, to help you optimize your AWS infrastructure.
Makes it easy to analyze, investigate, and quickly identify the root cause of security findings or suspicious activities. Automatically collects log data from your AWS resources and uses machine learning to create a unified view.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with security standards and best practices through continuous monitoring.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Consolidates security findings from multiple AWS services and third-party products.
Helps you centrally manage and govern your environment as you scale your AWS resources. Enables you to centrally manage policies across multiple AWS accounts.
Provides a simplified way to set up and govern a secure, multi-account AWS environment based on best practices. Automates the setup of a landing zone and implements guardrails for security, compliance, and operations.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with security standards and best practices through continuous monitoring.
Provides intelligent threat detection for your AWS accounts and workloads. Continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts and workloads.
Gives you visibility and control of your infrastructure on AWS. Provides a unified interface for viewing operational data from multiple AWS services and automates operational tasks across your AWS resources.
Provides a common language to model and provision AWS and third-party resources in your cloud environment. Enables you to define security controls as code and deploy them consistently.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with security standards and best practices through continuous monitoring and automated remediation.
Automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Aggregates, organizes, and prioritizes security alerts from multiple AWS services.
A fully managed continuous delivery service that helps you automate your release pipelines. Enables you to integrate security testing and validation into your deployment process.
Gives you visibility and control of your infrastructure on AWS. Helps you automate operational tasks, including the deployment and maintenance of security controls.
Provides intelligent threat detection for your AWS accounts and workloads. Continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts and workloads.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Aggregates, organizes, and prioritizes security alerts from multiple AWS services.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with security standards and best practices through continuous monitoring.
Makes it easy to analyze, investigate, and quickly identify the root cause of security findings or suspicious activities. Automatically collects log data from your AWS resources and uses machine learning to create a unified view.
Records API calls for your account and delivers log files to you. Provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services.
Helps protect your web applications or APIs against common web exploits and bots that may affect availability, compromise security, or consume excessive resources. Gives you control over how traffic reaches your applications.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Aggregates, organizes, and prioritizes security alerts from multiple AWS services.
Provides intelligent threat detection for your AWS accounts and workloads. Continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts and workloads.
Automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices.
Helps you identify resources in your organization and accounts that are shared with an external entity. Identifies unintended access to your resources and data, which is a security risk.
A fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Provides visibility into data security risks.
A security management service that allows you to centrally configure and manage firewall rules across your accounts and applications in AWS Organizations. Simplifies your AWS WAF, AWS Shield Advanced, and VPC security groups administration.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Ideal for managing human user authentication at scale.
Enables you to manage access to AWS services and resources securely. Core service for managing both human and machine identities with fine-grained access control.
Provides authentication, authorization, and user management for your web and mobile apps. Ideal for managing end-user authentication in customer-facing applications.
Helps you protect secrets needed to access your applications, services, and IT resources. Enables automatic rotation and secure storage of credentials.
Provides multiple ways to use Microsoft Active Directory (AD) with other AWS services. Enables integration with existing enterprise identity systems.
Enables you to request temporary, limited-privilege credentials for IAM users or for users that you authenticate (federated users). Essential for implementing temporary credential strategies.
Makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. Provides detailed visualizations and analysis for authentication-related investigations.
Provides automated security findings aggregation and prioritization from multiple AWS security services. Includes automated findings for authentication anomalies, credential misuse, and identity-related security issues.
Provides a browser-based shell for secure AWS CLI access with built-in authentication. Important security considerations include session management, temporary credential handling, and secure investigation workflows.
Enables you to manage access to AWS services and resources securely. IAM supports MFA and allows you to set password policies for IAM users.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Supports MFA and integrates with your existing identity provider.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to enforce MFA across your organization.
Provides authentication, authorization, and user management for your web and mobile apps. Supports MFA and allows you to implement adaptive authentication.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor sign-in activities and detect unauthorized access attempts.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Provides temporary credentials for AWS account access.
Enables you to manage access to AWS services and resources securely. Supports IAM roles for temporary credentials and federation with external identity providers.
Enables you to request temporary, limited-privilege credentials for IAM users or for users that you authenticate (federated users). Provides APIs for assuming roles and federating identities.
Helps you protect secrets needed to access your applications, services, and IT resources. Enables you to rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor credential usage and detect unauthorized access attempts.
Helps you protect secrets needed to access your applications, services, and IT resources. Enables you to rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
Provides secure, hierarchical storage for configuration data management and secrets management. You can store data such as passwords, database strings, Amazon Machine Image (AMI) IDs, and license codes as parameter values.
Makes it easy for you to create and manage cryptographic keys and control their use across a wide range of AWS services and in your applications. Used by Secrets Manager to encrypt secrets.
Lets you run code without provisioning or managing servers. Used by Secrets Manager for implementing custom secret rotation functions.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor secret access and detect unauthorized access attempts.
Uses machine learning to identify critical issues, security vulnerabilities, and hard-to-find bugs during application development. Can help identify hardcoded secrets in your code.
Cloudvisor's open-source scanner that detects leaked credentials and IaC misconfigurations across your repositories. Runs locally with no data leaving your machine by default. See the CV Scanner User Guide for installation and usage instructions.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Provides built-in identity store or integrates with your existing identity provider.
Provides multiple ways to use Microsoft Active Directory (AD) with other AWS services. Includes AWS Managed Microsoft AD, Simple AD, and AD Connector.
Enables you to manage access to AWS services and resources securely. Supports identity federation with external identity providers.
Helps you centrally manage and govern your environment as you scale your AWS resources. Works with IAM Identity Center to provide centralized access management across multiple AWS accounts.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor identity-related activities and detect unauthorized access attempts.
Helps you identify resources in your organization and accounts that are shared with an external entity. Also identifies unused access to help you remove unnecessary permissions.
Helps you protect secrets needed to access your applications, services, and IT resources. Enables you to rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps you maintain compliance with credential policies through continuous monitoring and automated remediation.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor credential usage and detect unauthorized access attempts.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alarms for credential-related events and automate responses to security issues.
Lets you run code without provisioning or managing servers. Used for implementing custom credential rotation logic and automated compliance checks.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Supports group-based access management and attribute-based access control.
Enables you to manage access to AWS services and resources securely. Supports attribute-based access control through principal tags and resource tags.
Provides multiple ways to use Microsoft Active Directory (AD) with other AWS services. Supports group management and attribute synchronization from your directory.
Helps you centrally manage and govern your environment as you scale your AWS resources. Works with IAM Identity Center to provide group-based access across multiple AWS accounts.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor group membership changes and attribute modifications.
An open-source tool for detecting hardcoded secrets in git repositories. cvscan uses gitleaks as its secrets scanning engine, applying a comprehensive rule set of hundreds of patterns covering credentials from major cloud providers, SaaS platforms, and authentication services.
An open-source security scanner by Aqua Security. cvscan uses trivy's IaC scanning capabilities to detect misconfigurations in Terraform and CloudFormation templates, covering security best practices across compute, storage, networking, and identity services.
Enables you to manage access to AWS services and resources securely. Core service for implementing identity-based policies, roles, and permission boundaries.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Ideal for managing human user access at scale.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to implement organization-wide permission guardrails.
Helps you identify resources in your organization and accounts that are shared with an external entity. Also helps identify unused permissions and generate least privilege policies.
Helps you securely share your resources across AWS accounts within your organization. Enables controlled resource sharing without compromising security.
Records API calls for your account and delivers log files to you. Essential for monitoring permission usage and detecting unauthorized access attempts.
Enables you to manage access to AWS services and resources securely. Use IAM to create policies based on your defined access requirements.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Use permission sets to implement your access requirements.
Provides authentication, authorization, and user management for your web and mobile apps. Use Cognito to implement access requirements for your application users.
Helps you securely share your resources across AWS accounts. Use RAM to implement cross-account access based on your requirements.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to implement organization-wide access guardrails.
Helps you identify resources in your organization and accounts that are shared with an external entity. Also helps identify unused access and generate least privilege policies based on access activity.
Enables you to manage access to AWS services and resources securely. Use IAM policies, roles, and permission boundaries to implement least privilege access.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to implement organization-wide permission guardrails.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor access patterns and identify opportunities to refine permissions.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alerts for suspicious access patterns or policy changes that increase permissions.
Enables you to manage access to AWS services and resources securely. Use IAM roles with appropriate permissions for emergency access.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor and audit emergency access usage.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alerts for emergency access usage and create dashboards for visibility.
Helps you protect secrets needed to access your applications, services, and IT resources. Can be used to securely store emergency access credentials with rotation capabilities.
Gives you visibility and control of your infrastructure on AWS. Use Automation documents to create controlled emergency access workflows.
A fully managed messaging service for both application-to-application and application-to-person communication. Use SNS to send notifications when emergency access is requested or used.
Helps you identify unused permissions and generate least privilege policies based on access activity. Use it to continuously analyze and refine permissions.
Records API calls for your account and delivers log files to you. Use CloudTrail data to understand actual permission usage patterns.
Monitors your AWS resources and the applications you run on AWS in real time. Create dashboards and alerts for permission usage and changes.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to enforce permission guardrails.
Coordinates multiple AWS services into serverless workflows. Use Step Functions to create automated permission review and reduction workflows.
A business intelligence service that makes it easy to deliver insights to everyone in your organization. Create dashboards to visualize permission usage and reduction metrics.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Service Control Policies (SCPs) to implement organization-wide permission guardrails.
Enables you to manage access to AWS services and resources securely. Use permission boundaries and policies to implement guardrails at the identity level.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Use Config rules to monitor compliance with your guardrail policies.
Provides a simplified way to set up and govern a secure, multi-account AWS environment based on best practices. Includes pre-built guardrails for common security requirements.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor attempts to bypass guardrails and detect policy violations.
A serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. Use EventBridge to trigger automated responses to guardrail violations.
Helps you securely create or connect your workforce identities and manage their access centrally across AWS accounts and applications. Provides APIs for automated lifecycle management.
Enables you to manage access to AWS services and resources securely. Use IAM for managing service accounts and application identities throughout their lifecycle.
Lets you run code without provisioning or managing servers. Use Lambda functions to automate lifecycle management processes and integrate with external systems.
Coordinates multiple AWS services into serverless workflows. Use Step Functions to orchestrate complex lifecycle management processes.
A serverless event bus that makes it easy to connect applications together. Use EventBridge to trigger lifecycle management workflows based on events from HR systems or other sources.
Records API calls for your account and delivers log files to you. Use CloudTrail to audit and monitor lifecycle management activities.
Helps you identify resources in your organization and accounts that are shared with an external entity. Provides continuous monitoring and analysis of public and cross-account access.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Use Config rules to monitor for public access and policy changes.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor changes to resource policies and access permissions.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alerts for public access changes and unusual access patterns.
Provides a comprehensive view of your security state in AWS. Aggregates findings from Access Analyzer and other security services for centralized monitoring.
Provides intelligent threat detection for your AWS accounts and workloads. Can detect suspicious access patterns to public resources.
Helps you securely share your resources across AWS accounts within your organization or organizational units (OUs) and with IAM roles and users for supported resource types.
Enables you to manage access to AWS services and resources securely. Use IAM roles for secure cross-account access without sharing credentials.
Helps you centrally manage and govern your environment as you scale your AWS resources. Use Organizations to define trusted relationships for resource sharing.
Object storage service that offers industry-leading scalability, data availability, security, and performance. Use S3 bucket policies and Access Points for secure data sharing.
Records API calls for your account and delivers log files to you. Use CloudTrail to monitor and audit shared resource access across accounts.
Monitors your AWS resources and the applications you run on AWS in real time. Set up metrics and alarms for shared resource usage and access patterns.
Enables you to manage access to AWS services and resources securely. Use IAM roles with external IDs for secure third-party access without sharing credentials.
Records API calls for your account and delivers log files to you. Essential for monitoring and auditing third-party access activities.
Monitors your AWS resources and the applications you run on AWS in real time. Set up alerts and dashboards for third-party access monitoring.
Makes it easy for you to create and manage cryptographic keys and control their use. Use KMS to encrypt data shared with third parties.
Object storage service that offers industry-leading scalability, data availability, security, and performance. Use S3 bucket policies and encryption for secure data sharing with third parties.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Use Config rules to monitor compliance with third-party access policies.
Records API calls for your account and delivers log files to you. Essential for auditing AWS service usage and detecting unauthorized activities across your AWS environment.
Monitors your AWS resources and applications in real time. Provides metrics, logs, and alarms for comprehensive monitoring and automated response to security events.
Provides a comprehensive view of your security state in AWS. Centralizes security findings from multiple AWS security services and third-party tools for unified analysis.
Provides intelligent threat detection for your AWS accounts and workloads. Uses machine learning to analyze CloudTrail events, DNS logs, and VPC Flow Logs to identify malicious activity.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Provides configuration history and compliance monitoring with automatic remediation capabilities.
Makes it easy to analyze, investigate, and quickly identify the root cause of potential security issues or suspicious activities. Uses machine learning and graph theory for investigation.
Records API calls for your account and delivers log files to you. Essential for auditing AWS service usage and detecting unauthorized activities.
Monitors, stores, and provides access to your log files from Amazon EC2 instances, AWS CloudTrail, and other sources. Centralized logging solution for AWS workloads.
Captures information about the IP traffic going to and from network interfaces in your VPC. Essential for network security monitoring and troubleshooting.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Provides configuration history and change notifications.
Provides DNS resolution for your VPC and on-premises networks. DNS query logging helps detect malicious domain lookups and data exfiltration attempts.
Gives you visibility and control of your infrastructure on AWS. Use Systems Manager Agent to collect logs from EC2 instances and hybrid environments.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Central repository for security findings from multiple sources.
Monitors, stores, and provides access to your log files from Amazon EC2 instances, AWS CloudTrail, and other sources. Centralized logging solution with cross-account capabilities.
Monitors your AWS resources and the applications you run on AWS in real time. Centralized metrics collection and dashboard creation for security monitoring.
Object storage service that offers industry-leading scalability, data availability, security, and performance. Cost-effective long-term storage for logs and findings.
Helps you centrally manage and govern your environment as you scale your AWS resources. Simplifies cross-account log aggregation and centralized security management.
A fully managed service for delivering real-time streaming data to destinations such as Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk. Useful for real-time log streaming and processing.
A serverless event bus that makes it easy to connect applications together using data from your own applications, integrated Software-as-a-Service (SaaS) applications, and AWS services. Essential for routing and correlating security events.
Lets you run code without provisioning or managing servers. Use Lambda functions to implement correlation logic and alert enrichment processing.
A key-value and document database that delivers single-digit millisecond performance at any scale. Ideal for storing security events and correlation data for fast lookups.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards and best practices. Central repository for correlated security findings.
Monitors your AWS resources and the applications you run on AWS in real time. Use CloudWatch for correlation metrics, dashboards, and alerting on correlation patterns.
A fully managed service that makes it easy to deploy, secure, and run Elasticsearch cost effectively at scale. Useful for advanced correlation analysis and search capabilities.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Provides built-in remediation configurations for common security violations.
Gives you visibility and control of your infrastructure on AWS. Use Automation documents to implement complex remediation workflows across multiple resources.
Lets you run code without provisioning or managing servers. Ideal for implementing custom remediation logic and orchestrating remediation workflows.
A serverless event bus that makes it easy to connect applications together. Essential for triggering remediation actions based on security events.
Provides a comprehensive view of your security state in AWS. Supports custom actions for manual remediation triggers and centralized finding management.
Provides intelligent threat detection for your AWS accounts and workloads. Findings can trigger automated remediation workflows for threat response.
Provides a logically isolated section of the AWS Cloud where you can launch AWS resources in a virtual network. Foundation for implementing network segmentation and access controls.
Acts as a virtual firewall for your EC2 instances to control inbound and outbound traffic. Provides stateful packet filtering at the instance level.
Provides an additional layer of security for your VPC that acts as a firewall for controlling traffic in and out of one or more subnets. Offers stateless packet filtering.
Helps protect your web applications or APIs against common web exploits and bots. Provides application-layer protection with customizable rules.
Provides managed DDoS protection that safeguards applications running on AWS. Shield Standard is automatically included, while Shield Advanced provides enhanced protections.
A managed service that makes it easy to deploy essential network protections for all of your Amazon VPCs. Provides fine-grained control over network traffic.
Provides the foundation for creating network layers with subnets, route tables, and security controls. Essential for implementing network segmentation and isolation.
Acts as a virtual firewall for your EC2 instances to control inbound and outbound traffic. Provides stateful packet filtering at the instance level for each network layer.
Provides an additional layer of security for your VPC that acts as a firewall for controlling traffic in and out of subnets. Offers stateless packet filtering at the subnet level.
Enables instances in private subnets to connect to the internet or other AWS services while preventing the internet from initiating connections with those instances.
Enables you to privately connect your VPC to supported AWS services without requiring an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection.
A managed service that makes it easy to deploy essential network protections for all of your Amazon VPCs. Provides fine-grained control over network traffic at the VPC level.
Acts as a virtual firewall for your EC2 instances to control inbound and outbound traffic. Provides stateful packet filtering and supports security group references for micro-segmentation.
Provides an additional layer of security for your VPC that acts as a firewall for controlling traffic in and out of subnets. Offers stateless packet filtering with explicit allow and deny rules.
A managed service that makes it easy to deploy essential network protections for all of your Amazon VPCs. Provides fine-grained control over network traffic with stateful inspection.
Helps protect your web applications or APIs against common web exploits and bots. Provides application-layer protection with customizable rules and managed rule sets.
Provides managed DDoS protection that safeguards applications running on AWS. Shield Standard is automatically included, while Shield Advanced provides enhanced protections.
Enables you to privately connect your VPC to supported AWS services without requiring an internet gateway. Helps control and secure traffic to AWS services.
A managed service that makes it easy to deploy essential network protections for all of your Amazon VPCs. Provides deep packet inspection with stateful and stateless rule processing.
Helps protect your web applications or APIs against common web exploits and bots. Provides application-layer inspection with customizable rules and managed rule sets.
Provides intelligent threat detection for your AWS accounts and workloads. Uses machine learning and threat intelligence to identify malicious activity and malware.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides continuous vulnerability assessment and malware detection.
Enables you to copy network traffic from an elastic network interface and send it to security and monitoring appliances for deep packet inspection.
Provides a comprehensive view of your security state in AWS. Centralizes findings from inspection-based security services for unified analysis and response.
Lets you run code without provisioning or managing servers. Essential for implementing automated response functions and security orchestration workflows.
A serverless event bus that makes it easy to connect applications together. Enables automated response to security events from multiple AWS services.
Gives you visibility and control of your infrastructure on AWS. Provides automation capabilities for security configuration management and incident response.
Monitors your AWS resources and applications in real time. Provides metrics, alarms, and automated actions for network security monitoring.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables Infrastructure as Code for consistent security deployments.
Provides intelligent threat detection for your AWS accounts and workloads. Integrates with automated response systems for immediate threat mitigation.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides detailed findings and remediation guidance for EC2 instances and container images.
Gives you visibility and control of your infrastructure on AWS. Provides patch management, configuration management, and automation capabilities for compute resources.
Provides intelligent threat detection for your AWS accounts and workloads. Includes runtime protection for EC2 instances, containers, and serverless functions.
Provides a comprehensive view of your security state in AWS. Centralizes security findings from compute security tools and provides compliance dashboards.
Fully managed Docker container registry that makes it easy to store, manage, and deploy Docker container images. Includes vulnerability scanning for container images.
Lets you run code without provisioning or managing servers. Provides built-in security features and integrates with other AWS security services for comprehensive protection.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides continuous vulnerability assessment for EC2 instances, container images, and Lambda functions.
Automates the process of patching managed instances with both security related and other types of updates. Provides centralized patch management across your infrastructure.
Provides vulnerability scanning for container images stored in Amazon Elastic Container Registry. Identifies software vulnerabilities in container images.
Provides a comprehensive view of your security state in AWS. Centralizes vulnerability findings from multiple security services for unified management.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps identify configuration vulnerabilities and compliance issues.
Provides intelligent recommendations for improving code quality and identifying the most expensive lines of code. Includes security-focused code reviews and vulnerability detection.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides continuous vulnerability assessment for EC2 instances, container images, and Lambda functions.
Automates the process of patching managed instances with both security related and other types of updates. Provides centralized patch management across your infrastructure.
Provides vulnerability scanning for container images stored in Amazon Elastic Container Registry. Identifies software vulnerabilities in container images.
Provides a comprehensive view of your security state in AWS. Centralizes vulnerability findings from multiple security services for unified management.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps identify configuration vulnerabilities and compliance issues.
Provides intelligent recommendations for improving code quality and identifying the most expensive lines of code. Includes security-focused code reviews and vulnerability detection.
Simplifies the building, testing, and deployment of Virtual Machine and container images for use on AWS or on-premises. Provides automated image hardening and security scanning capabilities.
Gives you visibility and control of your infrastructure on AWS. Provides patch management, configuration compliance, and automation capabilities for maintaining hardened images.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides vulnerability scanning for AMIs and container images.
Fully managed Docker container registry that makes it easy to store, manage, and deploy Docker container images. Includes vulnerability scanning for container images.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps monitor compliance with hardening standards and detect configuration drift.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables Infrastructure as Code for consistent deployment of hardened compute resources.
Simplifies the building, testing, and deployment of Virtual Machine and container images for use on AWS or on-premises. Provides automated image hardening and security scanning capabilities.
Gives you visibility and control of your infrastructure on AWS. Provides patch management, configuration compliance, and automation capabilities for maintaining hardened images.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides vulnerability scanning for AMIs and container images.
Fully managed Docker container registry that makes it easy to store, manage, and deploy Docker container images. Includes vulnerability scanning for container images.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps monitor compliance with hardening standards and detect configuration drift.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables Infrastructure as Code for consistent deployment of hardened compute resources.
Provides secure and auditable instance management without the need to open inbound ports, maintain bastion hosts, or manage SSH keys. Enables secure shell access with comprehensive logging.
Simplifies common maintenance and deployment tasks of Amazon EC2 instances and other AWS resources. Enables automated configuration management and reduces manual intervention.
Fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables Infrastructure as Code and reduces manual infrastructure management.
Container orchestration services that eliminate the need for manual container management. Provide automated deployment, scaling, and management of containerized applications.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps detect configuration drift and automate remediation of non-compliant resources.
Hostname: $(hostname)
Report Generated: $(date)
$(aide --version 2>/dev/null || echo "AIDE version information not available")
Database Location: $AIDE_DB
Database Size: $(ls -lh "$AIDE_DB" 2>/dev/null | awk '{print $5}' || echo "N/A")
Last Modified: $(ls -l "$AIDE_DB" 2>/dev/null | awk '{print $6, $7, $8}' || echo "N/A")
' >> "$output_file"
tail -50 "$LOG_FILE" >> "$output_file"
echo '' >> "$output_file"
fi
else
echo 'No recent check results available
' >> "$output_file" fi # Close HTML cat >> "$output_file" << EOFMakes it easy for you to create and manage cryptographic keys and control their use across a wide range of AWS services. Essential for code signing and integrity validation.
Provisions, manages, and deploys public and private SSL/TLS certificates. Can be used for code signing certificates and integrity validation.
Fully managed Docker container registry with image scanning and signing capabilities. Supports Docker Content Trust for image integrity validation.
Fully managed artifact repository service that makes it easy to securely store, publish, and share software packages. Provides package integrity validation.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Helps validate software integrity through vulnerability scanning.
Records API calls for your account and delivers log files to you. Provides audit trails for software deployment and integrity validation activities.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Provides automated remediation capabilities for configuration compliance.
Provides intelligent threat detection for your AWS accounts and workloads. Integrates with automated response systems for immediate threat mitigation.
Gives you visibility and control of your infrastructure on AWS. Provides automation capabilities for patch management, configuration management, and incident response.
Lets you run code without provisioning or managing servers. Essential for implementing automated response functions and security orchestration workflows.
A serverless event bus that makes it easy to connect applications together. Enables automated response to security events from multiple AWS services.
Monitors your AWS resources and applications in real time. Provides metrics, alarms, and automated actions for security monitoring and response.
Uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Automatically identifies personally identifiable information (PII) and provides detailed findings and alerts.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps track data storage configurations and ensure compliance with classification policies.
Records API calls for your account and delivers log files to you. Provides audit trails for data access and classification activities across your AWS environment.
Object storage service with built-in tagging capabilities. Supports object-level and bucket-level tags for data classification and automated policy enforcement.
Helps you organize your AWS resources using tags. Enables grouping and management of resources based on data classification and other criteria.
Gives you visibility and control of your infrastructure on AWS. Provides automation capabilities for applying classification-based policies and controls.
Uses machine learning and pattern matching to discover and protect your sensitive data in AWS. Automatically identifies personally identifiable information (PII) and provides detailed classification findings.
Helps you organize your AWS resources using tags. Enables grouping and management of resources based on data classification and other criteria.
Object storage service with built-in tagging capabilities. Supports object-level and bucket-level tags for data classification and automated policy enforcement.
Enables you to assess, audit, and evaluate the configurations of your AWS resources. Helps track data storage configurations and ensure compliance with classification policies.
Records API calls for your account and delivers log files to you. Provides audit trails for data access and classification activities across your AWS environment.
Gives you visibility and control of your infrastructure on AWS. Provides automation capabilities for applying classification-based policies and controls.
Makes it easy for you to create and manage cryptographic keys and control their use across a wide range of AWS services. Provides centralized key management with hardware security module (HSM) protection.
Provides hardware security modules in the AWS Cloud. Enables you to generate and use your own encryption keys on FIPS 140-2 Level 3 validated hardware.
Object storage service with multiple server-side encryption options including SSE-S3, SSE-KMS, and SSE-C. Supports client-side encryption and bucket-level encryption configuration.
Block storage service that provides encryption for EBS volumes and snapshots. Encryption is transparent to applications and provides minimal performance impact.
Managed relational database service that supports encryption at rest for database instances, automated backups, read replicas, and snapshots using AWS KMS.
Helps you protect secrets needed to access your applications, services, and IT resources. Automatically encrypts secrets and provides secure storage with automatic rotation.
Provisions, manages, and deploys public and private SSL/TLS certificates for use with AWS services and your internal connected resources. Provides automatic certificate renewal and integration with AWS services like Application Load Balancer, CloudFront, and API Gateway.
Managed private certificate authority service that helps you easily and securely manage the lifecycle of your private certificates. Essential for implementing mutual TLS (mTLS) authentication between services and issuing certificates for internal applications.
Application networking service that provides service-to-service connectivity, security, and monitoring for service-oriented architectures. Supports AWS IAM authentication and authorization policies for secure service communication.
Fully managed service for creating, publishing, maintaining, monitoring, and securing APIs. Supports multiple authentication methods including mutual TLS, JWT authorizers, and AWS IAM authentication for secure API access.
Provides SSL/TLS termination and end-to-end encryption capabilities. Supports mutual TLS authentication, SNI (Server Name Indication) for multiple certificates, and advanced routing based on content.
Provides private connectivity between VPCs, AWS services, and on-premises applications, securely on the Amazon network. Eliminates exposure of traffic to the public internet and supports authenticated connections.
Managed cloud service that lets connected devices easily and securely interact with cloud applications and other devices. Provides multiple authentication methods including X.509 certificates and AWS IAM credentials.
Allows workloads outside of AWS to access AWS resources using IAM roles and temporary credentials. Enables secure authentication for external systems that need to communicate with AWS services.
Provides a comprehensive view of your security state in AWS and helps you check your compliance with security standards. Centralizes security findings for incident analysis and response coordination.
Provides intelligent threat detection for your AWS accounts and workloads. Automatically detects malicious activity and provides detailed findings for incident response teams.
Gives you visibility and control of your infrastructure on AWS. Provides automation capabilities for incident response, including remote access and automated remediation.
Lets you run code without provisioning or managing servers. Enables automated incident response workflows and custom response actions based on security events.
A serverless event bus that makes it easy to connect applications together. Orchestrates incident response workflows and automates response actions across multiple services.
Gives you an easy way to model a collection of related AWS and third-party resources. Enables rapid deployment of incident response infrastructure and recovery environments.
Provides intelligent recommendations for improving code quality and identifying the most expensive lines of code. Includes security-focused code reviews and recommendations.
Fully managed continuous integration service that compiles source code, runs tests, and produces software packages. Integrates security testing tools into build pipelines.
Fully managed continuous delivery service that helps you automate your release pipelines. Enables integration of security testing and validation at multiple pipeline stages.
Automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. Provides continuous vulnerability assessment for applications and infrastructure.
Provides a comprehensive view of your security state in AWS. Centralizes security findings from application security testing tools and provides compliance dashboards.
Gives you visibility and control of your infrastructure on AWS. Provides patch management and configuration management capabilities for application security.
Helps you continuously audit your AWS usage to simplify how you assess risk and compliance with regulations and industry standards. Automates evidence collection and provides pre-built frameworks for common compliance standards.
Provides on-demand access to AWS compliance documentation and agreements. Central repository for compliance reports, certifications, and security documentation needed for regulatory requirements.
Fully managed artifact repository service that makes it easy for organizations to securely store, publish, and share packages used in their software development process.
Automated security assessment service that helps improve the security and compliance of applications by automatically assessing applications for vulnerabilities.
Serverless compute service for running package security scanning and governance logic without managing servers.
NoSQL database service for storing package metadata, security scan results, and governance policies.
Serverless orchestration service for coordinating package approval workflows and complex governance processes.
Messaging service for sending notifications about package security issues and approval requests.
Management service for maintaining package inventories and enforcing compliance across your infrastructure.
Fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates.
Fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy.
Deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services.
Infrastructure as code service that helps you model and set up your Amazon Web Services resources using templates.
Open-source software development framework to define cloud infrastructure in code and provision it through AWS CloudFormation.
Fully managed container orchestration service that makes it easy to deploy, manage, and scale containerized applications.
Managed Kubernetes service that makes it easy to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
Management service that helps you automatically collect software inventory, apply OS patches, create system images, and configure Windows and Linux operating systems.
Continuous delivery service that provides the pipeline infrastructure to assess. Understanding pipeline configuration is essential for security evaluation.
Build service that executes within pipelines. Security assessment must evaluate build environment configurations, permissions, and isolation.
Audit logging service that tracks API calls and user activities. Essential for monitoring pipeline access and detecting suspicious activities.
Monitoring and observability service for tracking pipeline metrics, logs, and setting up alerts for security events.
Serverless compute service for running automated security assessments and monitoring functions without managing infrastructure.
NoSQL database service for storing assessment results, monitoring data, and maintaining historical security metrics.
Messaging service for sending security alerts and notifications when pipeline security issues are detected.
Configuration management service for tracking changes to pipeline resources and ensuring compliance with security policies.
NoSQL database service for storing security champion data, training records, competency assessments, and culture metrics.
Serverless compute service for running security ownership management functions, training tracking, and culture measurement automation.
Email service for sending training notifications, security champion communications, and culture survey invitations.
Messaging service for sending alerts about security ownership issues, training compliance, and culture metric thresholds.
Monitoring service for tracking security culture metrics, training completion rates, and security ownership KPIs.
Workflow orchestration service for managing complex security training workflows and culture improvement initiatives.
Object storage service for storing training materials, security documentation, and culture assessment reports.
Management service for maintaining security ownership configurations and automating security culture processes.
Provides a centralized location to view and manage your service quotas. Essential for monitoring current usage, requesting quota increases, and tracking quota history across all AWS services.
Monitors AWS resources and applications in real-time. Critical for tracking quota utilization, setting up alerts for approaching limits, and creating dashboards for quota visibility.
Enables programmatic access to AWS Support features, including automated quota increase requests. Essential for building automated quota management workflows.
Helps centrally manage multiple AWS accounts. Important for coordinating quota management across complex multi-account environments and implementing organizational policies.
Provides event-driven architecture capabilities. Enables automated responses to quota-related events and integration with other AWS services for quota management workflows.
Runs code without provisioning servers. Perfect for implementing quota monitoring logic, automated quota increase requests, and event-driven quota management functions.
Centralized service for viewing and managing your quotas for AWS services. Provides APIs to retrieve current quotas, usage metrics, and submit increase requests.
Monitoring service that provides metrics for quota utilization and enables creation of alarms when approaching quota limits.
Serverless compute service for running automated quota monitoring and management functions without managing infrastructure.
NoSQL database service for storing quota information, usage history, and increase request tracking data.
Messaging service for sending quota alerts and notifications when limits are approached or exceeded.
Programmatic access to AWS Support for creating and managing support cases related to quota increases.
Event bus service for scheduling regular quota monitoring and triggering automated responses to quota events.
Configuration management service for tracking quota changes and maintaining compliance with quota policies.
Centralized management service for multiple AWS accounts. Enables organization-wide quota governance and policy enforcement across member accounts.
Service for viewing and managing quotas across multiple accounts and regions. Provides APIs for quota retrieval, monitoring, and increase requests.
Serverless compute service for running multi-account quota management functions and cross-region coordination workflows.
NoSQL database service for storing multi-account quota information, cross-region analysis data, and failover plans.
Workflow orchestration service for coordinating complex multi-account and multi-region quota management processes.
Event bus service for scheduling and triggering quota management workflows across accounts and regions.
Management service for maintaining quota configurations and automating quota management tasks across multiple accounts.
Messaging service for sending quota alerts and notifications across multiple accounts and regions.
Compute service with fixed constraints on instance types, network interfaces, and EBS volume attachments that require architectural accommodation.
Block storage service with fixed volume size limits, IOPS limits, and throughput constraints that require volume striping or distribution strategies.
Object storage service with fixed object size limits and request rate constraints that require multipart uploads and request distribution.
Scaling service that must work within fixed constraints like launch rates, cooldown periods, and capacity limits per Auto Scaling Group.
Load balancing service with constraints on targets per target group and target groups per load balancer requiring distribution strategies.
Networking service with fixed constraints on subnets, route tables, and security groups per VPC requiring multi-VPC architectures for scale.
Serverless compute service for implementing constraint-aware logic and automation without managing infrastructure constraints.
NoSQL database service for storing architecture decisions and constraint accommodation strategies.
Provides isolated network environments in the AWS cloud. Essential for creating secure, scalable network topologies with full control over IP addressing, routing, and network gateways.
Establishes dedicated network connections from on-premises to AWS. Critical for reliable, high-bandwidth connectivity with predictable performance and reduced data transfer costs.
Provides scalable DNS web service and domain registration. Essential for implementing highly available DNS resolution with health checks and intelligent routing policies.
Connects VPCs and on-premises networks through a central hub. Simplifies network architecture and enables scalable connectivity patterns with centralized routing control.
Distributes incoming traffic across multiple targets. Provides high availability and fault tolerance by automatically routing traffic away from unhealthy instances.
Global content delivery network that caches content at edge locations. Improves performance and availability by serving content from locations closest to users.
Generated on: $(date)
Total Networks Analyzed: $(jq length "$TEMP_DIR/all_networks.json")
Total Conflicts Detected: $(jq length "$TEMP_DIR/conflicts.json")
Fully managed container orchestration service that makes it easy to deploy, manage, and scale containerized applications. Ideal for microservices architectures with automatic service discovery and load balancing.
Managed Kubernetes service that provides a highly available and secure Kubernetes control plane. Perfect for complex microservices deployments requiring advanced orchestration and scaling capabilities.
Serverless compute service that runs code without provisioning servers. Excellent for event-driven microservices and functions that need to scale automatically based on demand.
Fully managed service for creating, publishing, and managing APIs at scale. Essential for exposing microservices through well-defined, secure, and monitored API contracts.
Service mesh that provides application-level networking for microservices. Offers traffic management, security, and observability features for complex service-to-service communication.
Serverless event bus service that connects applications using events. Enables loose coupling between services through event-driven architectures and asynchronous communication patterns.
Workload: $(jq -r '.workload_name // "Unknown"' "$CONFIG_FILE")
Generated on: $(date)
Total Components Analyzed: $(jq '.total_components' "$TEMP_DIR/architecture_analysis.json")
Average Complexity Score: $(jq '.average_complexity' "$TEMP_DIR/architecture_analysis.json")
Rationale: $RATIONALE
Generated on: $(date)
API Base URL: $API_BASE_URL
Contract Specification: $CONTRACT_SPEC_PATH
Result: $SPEC_VALIDATION
Validates that the OpenAPI specification is syntactically correct and follows OpenAPI standards.
Result: $CLIENT_GENERATION
Tests whether client SDKs can be successfully generated from the API specification.
Result: $CONTRACT_TESTING
Validates that the API implementation matches the contract specification.
Result: $PACT_TESTING
Consumer-driven contract testing using Pact framework.
Fully managed message queuing service that enables loose coupling between distributed system components. Essential for implementing asynchronous communication patterns and buffering requests during high load periods.
Fully managed pub/sub messaging service that enables fan-out messaging patterns. Critical for implementing event-driven architectures and decoupling service interactions through notifications.
Serverless event bus service that connects applications using events. Enables loose coupling through event-driven architectures and provides built-in retry and dead letter queue capabilities.
Serverless workflow service that coordinates distributed system components. Provides built-in error handling, retry logic, and state management for complex distributed workflows.
Fully managed NoSQL database with built-in idempotency features. Supports conditional writes and atomic operations that help implement idempotent patterns in distributed systems.
Distributed tracing service that helps analyze and debug distributed applications. Essential for understanding service dependencies and identifying bottlenecks in distributed system interactions.
Generated on: $(date)
Total Dependencies: $(jq length "$TEMP_DIR/all_dependencies.json")
Type: $DEP_TYPE
Criticality: $CRITICALITY
Endpoint: $ENDPOINT
Owner: $OWNER
Fully managed service for creating and managing APIs with built-in throttling, caching, and request/response transformation. Essential for implementing rate limiting and protecting backend services from overload.
Serverless compute service that automatically scales and provides built-in fault tolerance. Ideal for stateless processing and implementing circuit breaker patterns with automatic retry and error handling.
Fully managed message queuing service with built-in retry mechanisms and dead letter queues. Critical for implementing asynchronous processing and buffering requests during system overload.
Fully managed in-memory caching service that improves application performance and provides fallback data during database failures. Essential for implementing graceful degradation patterns.
Secure storage for configuration data and secrets with built-in versioning. Critical for implementing emergency levers and dynamic configuration changes without code deployment.
Monitoring and observability service with custom metrics and alarms. Essential for implementing circuit breaker logic and monitoring system health for failure detection and response.
Comprehensive monitoring and observability service for AWS resources and applications. Essential for collecting metrics, creating alarms, and building dashboards with automated responses to threshold breaches.
Distributed tracing service that helps analyze and debug distributed applications. Critical for understanding request flows, identifying bottlenecks, and monitoring end-to-end performance across microservices.
Fully managed search and analytics service for log analysis and visualization. Essential for centralized log aggregation, search capabilities, and creating custom analytics dashboards.
Service that provides governance, compliance, and audit capabilities for AWS accounts. Critical for monitoring API calls, security events, and maintaining audit trails for compliance requirements.
Fully managed pub/sub messaging service for sending notifications. Essential for implementing alerting mechanisms and integrating monitoring systems with incident response workflows.
Unified interface for managing AWS resources with monitoring and automation capabilities. Important for infrastructure monitoring, patch management, and automated remediation actions.
Automatically adjusts the number of EC2 instances in response to changing demand. Essential for maintaining application availability and optimizing costs by scaling compute capacity up or down based on defined policies.
Serverless compute service that automatically scales to handle any number of requests. Perfect for event-driven workloads that need to scale from zero to thousands of concurrent executions instantly.
Automatically distributes incoming traffic across multiple targets and scales to handle varying load patterns. Critical for distributing demand and ensuring no single resource becomes a bottleneck.
Monitoring service that provides metrics and alarms to trigger scaling actions. Essential for implementing intelligent scaling policies based on application performance and resource utilization metrics.
Unified scaling service that can scale multiple AWS resources simultaneously. Important for coordinated scaling across different service types and maintaining application performance holistically.
NoSQL database with on-demand scaling capabilities that automatically adjusts read and write capacity. Critical for data layer scaling that matches application demand patterns.
Fully managed continuous integration and deployment service that orchestrates build, test, and deployment phases. Essential for creating automated deployment pipelines with integrated testing and approval workflows.
Automated deployment service that handles application deployments to various compute services. Critical for implementing blue-green deployments, canary releases, and automated rollback capabilities.
Infrastructure as code service that enables predictable and repeatable infrastructure deployments. Essential for implementing immutable infrastructure patterns and consistent environment provisioning.
Unified interface for managing AWS resources with automation capabilities. Important for implementing automated runbooks, patch management, and configuration management across infrastructure.
Fully managed build service that compiles source code, runs tests, and produces deployment artifacts. Critical for implementing automated testing and build processes in CI/CD pipelines.
Monitoring and observability service that provides metrics, logs, and alarms. Essential for monitoring deployment health, triggering automated responses, and validating deployment success.
Centralized backup service that provides policy-based backup across AWS services. Essential for implementing unified backup strategies, compliance reporting, and cross-service backup coordination with automated scheduling and lifecycle management.
Object storage service with multiple storage classes and lifecycle policies. Critical for long-term backup storage, cross-region replication, and cost-optimized backup retention with built-in durability and availability.
Point-in-time backup of EBS volumes stored in Amazon S3. Essential for block storage backup, incremental backup efficiency, and rapid volume recovery with cross-region snapshot copying capabilities.
Automated database backup with point-in-time recovery capabilities. Critical for database protection, transaction log backup, and cross-region backup replication with configurable retention periods.
Data transfer service for moving large amounts of data between on-premises and AWS. Important for initial backup migrations, ongoing data synchronization, and hybrid backup architectures.
Hybrid cloud storage service that connects on-premises environments to AWS. Essential for seamless backup integration, local caching, and gradual cloud migration with multiple gateway types.
Deploy instances across multiple Availability Zones within a region for high availability and fault isolation. Essential for protecting against AZ-level failures while maintaining low latency.
Deploy workloads across multiple AWS Regions for geographic fault isolation and disaster recovery. Critical for protecting against region-wide failures and meeting compliance requirements.
Distribute traffic across multiple targets in different AZs and regions. Essential for implementing fault isolation at the traffic distribution layer with automatic failover capabilities.
DNS service with health checks and failover routing policies. Important for implementing geographic fault isolation and automated DNS-based failover between regions.
Automatically replace failed instances and maintain capacity across multiple AZs. Critical for automated recovery and maintaining fault isolation boundaries during failures.
Database deployment across multiple AZs with automatic failover. Essential for database-level fault isolation and maintaining data availability during AZ failures.
Comprehensive monitoring service for AWS resources and applications. Essential for implementing failure detection, automated recovery triggers, and comprehensive observability across all workload components.
Automatically adjusts capacity to maintain steady, predictable performance. Critical for automated healing and maintaining availability during component failures through automatic instance replacement.
Distributes incoming traffic across multiple healthy targets. Essential for automated failover and ensuring traffic is routed away from failed components to healthy alternatives.
DNS service with health checks and failover routing. Important for implementing DNS-based failover and ensuring traffic is directed to healthy endpoints during failures.
Serverless compute service with built-in fault tolerance. Critical for implementing automated recovery functions and self-healing mechanisms that respond to failure events.
Fully managed pub/sub messaging service. Essential for implementing notification systems that communicate failure events and recovery status to stakeholders and automated systems.
Status: {event.status.value.title()}
Started: {event.start_time.strftime('%Y-%m-%d %H:%M:%S UTC')}
Affected Services: {', '.join(event.affected_services)}
{event.description}
{event.impact_description}
{f'{event.root_cause}
' if event.root_cause else ''} {f'Fully managed service for running fault injection experiments. Essential for chaos engineering and resilience testing by safely injecting failures into AWS workloads to test recovery mechanisms.
Monitoring and observability service with comprehensive metrics and logging. Critical for reliability testing by providing visibility into system behavior during tests and real incidents.
Distributed tracing service for analyzing application performance. Important for reliability testing by providing detailed insights into request flows and identifying bottlenecks during testing.
Continuous integration and deployment service. Essential for integrating reliability testing into development workflows and ensuring consistent testing practices.
Cost-effective compute capacity for testing workloads. Useful for large-scale performance testing and chaos engineering experiments without significant cost impact.
Unified interface for managing AWS resources with automation capabilities. Important for implementing automated testing procedures and playbook execution during reliability testing.
Centralized backup service across AWS services with cross-region backup capabilities. Essential for implementing comprehensive backup strategies and meeting RPO requirements for disaster recovery.
DNS service with health checks and failover routing policies. Critical for implementing automated DNS failover and directing traffic to healthy regions during disaster scenarios.
Infrastructure as code service for consistent environment provisioning. Important for maintaining configuration consistency between production and DR environments and enabling rapid infrastructure deployment.
Automatic replication of objects across AWS regions. Essential for data protection and ensuring data availability in DR regions with configurable replication rules and monitoring.
Serverless workflow service for orchestrating complex recovery procedures. Critical for implementing automated disaster recovery workflows with error handling and state management.
Monitoring service with custom metrics and alarms. Important for disaster detection, triggering automated recovery procedures, and monitoring recovery progress and success.
Provides detailed cost and usage reports with filtering and grouping capabilities. Essential for understanding spending patterns and identifying optimization opportunities.
Allows you to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. Supports cost, usage, and reservation budgets.
Provides the most comprehensive set of AWS cost and usage data available. Contains detailed information about your costs and usage, including metadata about AWS services, pricing, and reservations.
Uses machine learning to identify unusual spends and root causes, helping you detect and alert on unexpected cost increases quickly.
Provides a centralized location for managing your AWS billing information, payment methods, and cost optimization tools.
Helps you centrally manage billing and cost allocation across multiple AWS accounts. Enables consolidated billing and cost allocation tags.
Provides real-time guidance to help you provision your resources following AWS best practices, including cost optimization recommendations.
Recommends optimal AWS resources for your workloads to reduce costs and improve performance by using machine learning to analyze historical utilization metrics.
Provides detailed cost and usage analysis capabilities essential for the FinOps team to understand spending patterns and identify optimization opportunities.
Enables the cost optimization team to set up proactive monitoring and alerting for cost and usage thresholds across different dimensions.
Provides comprehensive cost and usage data that the FinOps team can use for detailed analysis and custom reporting requirements.
Helps establish account structure and consolidated billing that supports the cost optimization team's governance and allocation strategies.
Provides automated anomaly detection capabilities that help the cost optimization team identify and respond to unusual spending patterns quickly.
Offers cost optimization recommendations that the FinOps team can use to identify and prioritize optimization opportunities across the organization.
Provides shared visibility into cost and usage data that both finance and technology teams can use for collaborative analysis and decision-making.
Enables collaborative budget management with shared alerts and notifications that keep both teams informed of cost performance.
Provides detailed cost data that can be used by both teams for in-depth analysis and custom reporting requirements.
Allows both teams to create shared cost allocation structures that align with business and technical organizational models.
Provides cost optimization recommendations that both teams can review and prioritize together based on business and technical considerations.
Enables collaborative architecture reviews that include cost optimization considerations from both business and technical perspectives.
Primary service for creating and managing budgets with customizable alerts and thresholds. Supports cost, usage, and reservation budgets with forecasting capabilities.
Provides historical cost data and basic forecasting capabilities. Essential for analyzing trends and creating data-driven budget projections.
Provides detailed cost and usage data that can be used for advanced forecasting models and custom budget analysis.
Complements budgets by providing machine learning-based anomaly detection that can identify unusual spending patterns that might affect budget performance.
Can be used to create advanced budget dashboards and forecasting visualizations using cost and usage data from various sources.
Enables consolidated billing and account-level budget management across multiple AWS accounts in your organization.
Provides cost visibility and analysis capabilities that can be integrated into various organizational processes for cost-aware decision making.
Enables cost budgets and alerts that can be integrated into project management and operational processes to maintain cost awareness.
Provides detailed cost data that can be used to create custom cost awareness tools and integrate cost information into existing business processes.
Enables comprehensive resource tagging that supports cost allocation and cost awareness across different organizational processes.
Provides cost optimization guidance that can be integrated into architecture review processes and design decisions.
Provides cost optimization recommendations that can be integrated into operational processes and regular optimization reviews.
Provides comprehensive cost reporting and analysis capabilities with customizable reports and visualizations for different stakeholder needs.
Enables automated budget reporting and alerting with customizable thresholds and notification recipients for proactive cost management.
Provides automated anomaly detection and alerting to identify unusual spending patterns and notify appropriate stakeholders quickly.
Enables creation of custom cost dashboards and reports with advanced visualization capabilities and automated report distribution.
Provides detailed cost data that can be used to create custom reports and integrate with business intelligence tools for advanced reporting.
Enables automated notification delivery for cost alerts and reports to various endpoints including email, SMS, and integration with other systems.
Can be used to create custom cost reporting and notification functions that integrate with various AWS cost management services.
Provides machine learning-powered anomaly detection to automatically identify unusual spending patterns and alert stakeholders proactively.
Enables proactive budget monitoring with customizable alerts and thresholds to prevent budget overruns before they occur.
Provides comprehensive cost analysis and forecasting capabilities essential for proactive cost monitoring and trend analysis.
Enables custom cost metrics and alarms that can trigger automated responses to cost events and optimization opportunities.
Can be used to create custom cost monitoring functions that implement organization-specific monitoring logic and automated responses.
Provides notification delivery for cost alerts and monitoring events to ensure stakeholders are informed promptly of cost issues.
Can be used to implement automated cost optimization actions in response to monitoring events and threshold breaches.
Primary source for staying informed about new AWS service releases, features, and updates that could provide cost optimization opportunities.
Provides recommendations for new services and features that could optimize costs, including guidance on adopting newer, more cost-effective solutions.
Helps evaluate new services against well-architected principles, including cost optimization considerations for service adoption decisions.
Enables analysis of cost impact from new service adoptions and helps track the financial benefits of migrating to new, more cost-effective services.
Provides access to AWS solution architects and technical account managers who can provide guidance on new service adoption and optimization opportunities.
Offers training resources and certification programs to help teams develop expertise in new services and cost optimization techniques.
Provides cost visibility tools that enable teams to understand and take ownership of their cost performance, supporting culture change through transparency.
Enables team-level budgets and alerts that create accountability and ownership for cost performance at the team level.
Provides detailed cost data that can be used to create team-specific dashboards and reports that support cost awareness and accountability.
Offers comprehensive training resources and certification programs that help build cost optimization knowledge and skills across the organization.
Provides cost optimization guidance and assessments that can be used in training and education programs to build cost-aware architectural thinking.
Provides cost optimization recommendations that teams can use to learn about optimization opportunities and take action to improve cost performance.
Provides detailed cost analysis and reporting capabilities essential for quantifying and tracking the financial value of cost optimization initiatives.
Provides comprehensive cost data that can be used for detailed value analysis and custom business value calculations and reporting.
Enables creation of comprehensive business value dashboards and reports that communicate cost optimization value to stakeholders effectively.
Provides performance and operational metrics that help quantify the operational and strategic value of cost optimization beyond just cost savings.
Provides operational insights and automation capabilities that contribute to operational value measurement and efficiency improvements.
Helps assess and quantify the broader architectural and strategic benefits of cost optimization initiatives beyond immediate cost savings.
Provides centralized management and governance across multiple AWS accounts. Essential for implementing account structure, service control policies, and consolidated billing.
Enable you to set fine-grained permissions guardrails for accounts in your organization. Prevent users from performing actions that don't align with your governance policies.
Allows you to set custom budgets and receive alerts when costs or usage exceed thresholds. Essential for implementing spending controls and monitoring against targets.
Provides detailed cost and usage analysis capabilities. Use for monitoring usage patterns, identifying trends, and measuring against governance targets.
Controls who can access AWS services and resources. Implement role-based access control and permission boundaries to enforce usage governance.
Enables infrastructure as code with built-in governance controls. Use stack policies and templates to enforce standardized resource provisioning.
Monitors and records AWS resource configurations and changes. Use for compliance monitoring and ensuring resources meet governance requirements.
Provides audit trails of API calls and user activities. Essential for governance oversight, compliance reporting, and security monitoring.
Provides the foundational structure for implementing organizational policies across multiple accounts. Use organizational units (OUs) to group accounts and apply policies consistently.
Enable you to implement preventive guardrails that enforce your usage policies at the account level. SCPs can prevent actions that violate organizational policies.
Monitors resource configurations and can automatically evaluate compliance with your organizational policies. Use Config Rules to implement policy checks.
Enables infrastructure as code with built-in policy enforcement through stack policies and template validation. Ensures resources are provisioned according to organizational standards.
Implements access control policies that define who can perform what actions on which resources. Use permission boundaries and policies to enforce usage governance.
Provides policy-based management capabilities including patch management, configuration compliance, and operational procedures that support governance requirements.
Create custom budgets that track costs and usage against your targets. Set up alerts when actual or forecasted costs exceed your goals, enabling proactive management.
Analyze historical cost and usage data to establish baselines and track progress toward goals. Use filtering and grouping to monitor specific targets and identify trends.
Provides detailed cost and usage data that can be used for sophisticated goal tracking and analysis. Essential for complex goal measurement and reporting.
Monitor operational metrics that correlate with cost goals, such as resource utilization, performance metrics, and business KPIs that drive cost efficiency.
Provides recommendations for cost optimization that can help achieve your cost reduction and efficiency goals. Use recommendations to identify specific improvement opportunities.
Provides rightsizing recommendations that can help achieve utilization and efficiency goals. Use recommendations to optimize resource allocation and reduce waste.
Create dashboards and reports to visualize progress toward goals and targets. Enable stakeholders to monitor performance and identify areas needing attention.
Automatically detect unusual spending patterns that might indicate deviation from goals. Use machine learning to identify cost anomalies that require investigation.
Provides centralized management of multiple AWS accounts. Essential for implementing account structure, applying policies consistently, and managing consolidated billing.
Provides a pre-configured multi-account environment with built-in governance guardrails. Simplifies the setup and management of a well-architected multi-account structure.
Enable you to apply governance policies consistently across accounts in your organization. Use SCPs to enforce account-level controls and prevent policy violations.
Provides centralized access management across multiple AWS accounts. Simplifies user management and enables consistent access controls across your account structure.
Enables you to deploy CloudFormation stacks across multiple accounts and regions. Use StackSets to ensure consistent resource deployment and configuration across your account structure.
Provides configuration monitoring and compliance checking across multiple accounts. Use Config to ensure resources in all accounts comply with organizational standards.
Provides audit logging across all accounts in your organization. Essential for governance oversight, compliance reporting, and security monitoring.
Provides cost analysis and reporting across your multi-account structure. Use Cost Explorer to analyze costs by account, organizational unit, and other dimensions.
Provides fine-grained access control for AWS services and resources. Essential for implementing role-based access control and enforcing cost governance policies.
Provides centralized access management across multiple AWS accounts. Simplifies user management and enables consistent role implementation across your organization.
Enables centralized management of multiple AWS accounts and provides the foundation for implementing consistent access controls across your organization.
Provides audit logging of all API calls and user activities. Essential for monitoring access patterns, investigating security incidents, and ensuring compliance.
Helps identify resources that are shared with external entities and validates that access policies meet security and compliance requirements.
Provides cost analysis capabilities that can be accessed through appropriate IAM permissions. Essential for enabling cost visibility for relevant roles.
Enables budget creation and monitoring with role-based access controls. Allows different roles to have appropriate levels of budget visibility and management.
Enables logical grouping of resources for management and access control purposes. Supports role-based access to specific resource groups.
Create custom budgets with automated alerts and actions. Set up cost, usage, and reservation budgets with thresholds that trigger notifications or automated responses.
Implement preventive guardrails that restrict actions across accounts in your organization. Use SCPs to prevent the creation of expensive resources or services.
Automatically detect unusual spending patterns using machine learning. Receive alerts when costs deviate significantly from expected patterns.
Implement automated cost control actions such as resource termination, scaling, or notification. Use Lambda functions to respond to budget alerts and cost anomalies.
Monitor resource utilization and performance metrics that correlate with costs. Set up alarms that trigger cost control actions based on usage patterns.
Automatically adjust resource capacity based on demand and cost considerations. Implement scaling policies that optimize both performance and cost.
Automate operational tasks including cost control activities. Use Systems Manager to implement scheduled shutdowns, resource optimization, and compliance enforcement.
Monitor resource configurations and automatically remediate non-compliant resources. Use Config rules to enforce cost-related compliance requirements.
Organize and manage resources by project or application. Use resource groups to track all resources associated with a project throughout its lifecycle.
Track costs by project using tags and cost allocation. Analyze cost trends throughout the project lifecycle and identify optimization opportunities.
Automate lifecycle management tasks such as resource provisioning, configuration updates, and decommissioning activities.
Manage infrastructure as code throughout the project lifecycle. Use CloudFormation stacks to provision, update, and decommission resources consistently.
Track resource configuration changes throughout the project lifecycle. Monitor compliance with lifecycle-specific requirements and policies.
Monitor resource utilization and performance throughout the project lifecycle. Use metrics to inform lifecycle transition decisions and optimization activities.
Implement automated lifecycle management functions such as resource scaling, cleanup, and notification systems.
Orchestrate complex lifecycle management workflows that span multiple services and require coordination of various activities.
Provides comprehensive cost analysis and visualization capabilities. Essential for understanding spending patterns, identifying trends, and creating custom cost reports.
Delivers the most detailed cost and usage data available. Use CUR for advanced analytics, custom reporting, and integration with business intelligence tools.
Enables custom budget creation with automated alerts and actions. Essential for proactive cost monitoring and control.
Uses machine learning to automatically detect unusual spending patterns. Provides early warning of cost issues and helps identify optimization opportunities.
Monitors operational metrics that correlate with costs. Use CloudWatch to understand the relationship between resource utilization and spending.
Organizes resources for monitoring and cost allocation purposes. Use resource groups to track costs for specific applications or projects.
Provides consolidated billing and organizational structure for cost monitoring. Essential for multi-account cost management and allocation.
Creates interactive dashboards and reports for cost data visualization. Use QuickSight to build custom cost monitoring dashboards for different stakeholders.
The most detailed cost and usage dataset AWS provides. Enable resource IDs and hourly granularity for accurate attribution and analysis.
Consolidated billing aggregates detailed cost and usage data across all member accounts into a single source of truth.
Query the CUR directly in Amazon S3 (the AWS analytics service, not an internal agent) to build custom, detailed cost analyses.
Organize resources with organizational metadata. Use resource groups to apply consistent organizational information across related resources.
Store organizational metadata and configuration information. Use Parameter Store to maintain centralized organizational data for cost enrichment.
Store complex organizational relationships and metadata. Use DynamoDB for fast lookup of organizational information during cost processing.
Implement automated organizational information enrichment. Use Lambda to process cost data and add organizational context.
Transform and enrich cost data with organizational information. Use Glue for large-scale data processing and enrichment workflows.
Store organizational data files and enriched cost datasets. Use S3 for scalable storage of organizational metadata and processed cost data.
Create custom cost categories that group costs according to your business logic. Use Cost Categories to implement complex attribution rules and hierarchies.
Organize resources into logical groups for cost attribution. Use resource groups to track costs for specific applications, projects, or business units.
Use organizational units (OUs) to create account-based cost attribution categories. Align account structure with business attribution requirements.
Analyze costs using different attribution dimensions. Create custom reports and filters based on your attribution categories.
Build dashboards that present organization unit-cost metrics to the right owners and surface trends against targets.
Group costs into business-meaningful categories that align with your organizational structure for metric calculation.
Query the CUR (the AWS analytics service, not an internal agent) to compute unit-cost metrics directly from detailed billing data.
Interactive cost analysis and visualization with pre-built and custom reports.
Custom budgets with automated alerts and budget actions for proactive cost control.
Machine-learning detection of unusual spend for early warning of cost issues.
Collect and analyze workload metrics for cost allocation. Use CloudWatch metrics to track resource utilization and application performance.
Trace application requests and analyze performance metrics. Use X-Ray data to understand workload behavior and resource consumption patterns.
Analyze costs alongside workload metrics. Use Cost Explorer APIs to integrate cost data with workload performance data.
Stream workload metrics for real-time cost allocation. Use Kinesis to process high-volume metric streams for dynamic cost attribution.
Implement custom cost allocation algorithms. Use Lambda to process workload metrics and calculate dynamic cost allocations.
Store workload metrics and allocation calculations. Use DynamoDB for fast access to metric data and allocation results.
Track resource configurations and changes over time. Use Config to maintain inventory of resources and identify unused or misconfigured resources.
Automate resource management and decommissioning tasks. Use Systems Manager for inventory management and automated cleanup procedures.
Manage infrastructure as code and enable systematic resource decommissioning. Use CloudFormation stacks to group related resources for coordinated lifecycle management.
Implement automated decommissioning workflows and resource cleanup functions. Use Lambda for event-driven decommissioning and scheduled cleanup tasks.
Monitor resource utilization to identify decommissioning candidates. Use CloudWatch metrics and alarms to trigger automated decommissioning processes.
Identify unused and underutilized resources. Use Trusted Advisor recommendations to find decommissioning opportunities and cost savings.
Analyze cost patterns to identify unused resources. Use Cost Explorer to track spending on resources that may be candidates for decommissioning.
Implement lifecycle policies for automated data archival and deletion. Use S3 lifecycle management to automatically transition and delete data based on retention policies.
Automatically discover and track resource configurations and changes. Use Config to maintain comprehensive resource inventory and track configuration drift.
Collect detailed information about resources and their configurations. Use Systems Manager to gather metadata and track resource attributes.
Organize resources into logical groups for tracking and management. Use resource groups to track related resources and their lifecycle status.
Monitor resource utilization and performance metrics. Use CloudWatch to track usage patterns and identify decommissioning candidates.
Track resource creation, modification, and access activities. Use CloudTrail to understand resource usage patterns and ownership.
Store resource tracking data and metadata. Use DynamoDB for fast access to resource information and lifecycle status.
Orchestrate decommissioning workflows and automate process execution. Use Systems Manager for coordinated resource shutdown and validation.
Create complex decommissioning workflows with error handling and rollback capabilities. Use Step Functions for multi-step decommissioning processes.
Implement custom decommissioning logic and automation. Use Lambda for event-driven decommissioning and validation functions.
Send notifications and alerts during decommissioning processes. Use SNS for stakeholder communication and approval workflows.
Manage infrastructure as code for coordinated resource decommissioning. Use CloudFormation for stack-based resource lifecycle management.
Track decommissioning process status and maintain audit trails. Use DynamoDB for process state management and historical records.
Execute coordinated resource shutdown and management tasks. Use Systems Manager for automated execution of decommissioning procedures.
Implement custom decommissioning logic and automation. Use Lambda for resource-specific decommissioning tasks and validation.
Manage infrastructure as code for coordinated stack decommissioning. Use CloudFormation for systematic resource group removal.
Store data backups and archives during decommissioning. Use S3 lifecycle policies for automated data management.
Create and manage backups before resource decommissioning. Use AWS Backup for centralized backup management.
Monitor decommissioning activities and validate successful completion. Use CloudWatch for process monitoring and alerting.
Implement automated decommissioning logic and workflows. Use Lambda for event-driven and scheduled decommissioning tasks.
Trigger automated decommissioning based on events and schedules. Use EventBridge for coordinating complex automation workflows.
Orchestrate complex automated decommissioning workflows. Use Step Functions for multi-step automation with error handling.
Monitor resource utilization and trigger automated decommissioning. Use CloudWatch metrics and alarms for automation triggers.
Evaluate resource compliance with decommissioning policies. Use Config rules for automated policy evaluation and remediation.
Automate resource management and decommissioning tasks. Use Systems Manager for coordinated automation across multiple resources.
Implement lifecycle policies for automated data archival and deletion. Use S3 storage classes for cost-effective long-term retention.
Store long-term archival data at low cost. Use Glacier for data that requires long-term retention but infrequent access.
Implement custom data retention logic and automation. Use Lambda for complex retention rules and cross-service data management.
Use TTL (Time To Live) for automatic data expiration. Implement point-in-time recovery for compliance requirements.
Manage database backups and automated snapshots. Use automated backup retention for compliance and recovery.
Maintain audit logs with appropriate retention periods. Use CloudTrail for compliance and security audit requirements.
Set retention periods for application and system logs. Use log groups with appropriate retention policies.
Monitor compliance with data retention policies. Use Config rules to automatically check retention policy adherence.
Estimate costs for AWS services and configurations. Use the calculator to compare different service options and deployment scenarios.
Analyze historical cost data and usage patterns. Use Cost Explorer to understand current spending and project future costs.
Get recommendations for cost optimization and service selection. Use Trusted Advisor to identify opportunities for cost savings.
Get rightsizing recommendations for compute resources. Use Compute Optimizer to select optimal instance types and sizes.
Evaluate workload architecture against best practices. Use the tool to assess cost optimization opportunities in your architecture.
Discover and analyze existing applications for migration planning. Use discovery data to inform service selection decisions.
Plan and track application migrations. Use Migration Hub to evaluate different migration strategies and their associated costs.
Access detailed cost and usage data for analysis. Use CUR data to understand actual service costs and usage patterns.
Implement organizational structure and policies for cost management. Use Organizations to enforce cost requirements across multiple accounts.
Set and monitor budget constraints and thresholds. Use Budgets to enforce organizational cost requirements and approval workflows.
Analyze current spending patterns to inform requirements. Use Cost Explorer to understand baseline costs and identify optimization opportunities.
Enforce cost-related policies and constraints. Use SCPs to prevent actions that violate organizational cost requirements.
Monitor for spending that violates organizational requirements. Use anomaly detection to identify when costs exceed expected thresholds.
Estimate costs against organizational requirements. Use the calculator to validate that proposed solutions meet cost constraints.
Discover and map application components and dependencies. Use discovery data to understand workload architecture and component relationships.
Trace requests through distributed applications to understand component interactions and performance characteristics.
Analyze costs by service and resource to understand component-level spending patterns and trends.
Organize and manage related resources as logical groups. Use resource groups to track component costs and utilization.
Define infrastructure as code to understand component relationships and dependencies. Use stack analysis for cost modeling.
Track resource configurations and relationships. Use Config to understand component dependencies and changes over time.
Get rightsizing recommendations for compute resources. Use Compute Optimizer to analyze component performance and identify optimization opportunities.
Get recommendations for cost optimization across different service categories. Use Trusted Advisor to identify underutilized resources and optimization opportunities.
Monitor component performance and utilization metrics. Use CloudWatch data to understand actual usage patterns and requirements.
Analyze component costs and usage trends. Use Cost Explorer to understand cost patterns and identify optimization opportunities.
Model costs for different component configurations and alternatives. Use the calculator to compare options and estimate costs.
Evaluate component architecture against best practices. Use the tool to identify areas for improvement and optimization.
Track, manage, and enforce software licenses to avoid over-provisioning and non-compliance costs.
Compare license-included offerings (e.g. Amazon RDS, EC2) against bring-your-own-license for the most cost-effective model.
Evaluate flexible, usage-based, and subscription licensing for third-party software.
Implement organizational policies and governance for service selection. Use Organizations to enforce cost optimization policies across accounts.
Provide approved, cost-optimized service configurations. Use Service Catalog to standardize component selection based on organizational priorities.
Set and monitor cost targets aligned with organizational priorities. Use Budgets to track spending against priority-based allocations.
Organize costs by organizational priorities and business units. Use Cost Categories to track spending alignment with priorities.
Monitor compliance with organizational policies and standards. Use Config to ensure component selection aligns with governance requirements.
Standardize infrastructure deployment based on organizational templates. Use CloudFormation to enforce priority-aligned component selection.
Model the cost of candidate services across multiple projected usage scenarios before committing.
Analyze historical usage trends to inform realistic low/expected/high scenarios for future cost analysis.
Factor commitment-based pricing into the cost curve when usage is sustained and predictable.
Model costs for different resource configurations and scenarios. Use the calculator to understand cost implications of different resource choices and optimize for cost targets.
Get rightsizing recommendations based on actual usage data. Use Compute Optimizer to identify optimal resource types and sizes for your workloads.
Monitor resource utilization and performance metrics. Use CloudWatch data to make informed decisions about resource sizing and optimization.
Automatically adjust resource capacity based on demand and cost targets. Use Auto Scaling to optimize resource usage and costs dynamically.
Analyze cost trends and patterns to inform resource selection decisions. Use Cost Explorer to understand the cost impact of different resource configurations.
Test workload performance under different load conditions. Use load testing to validate resource configurations and optimize for cost-performance balance.
Create detailed cost estimates for different resource configurations. Use the calculator to model various scenarios and compare cost implications of different choices.
Analyze historical cost data to validate and refine cost models. Use Cost Explorer's forecasting capabilities to project future costs based on current trends.
Set cost targets and track actual costs against modeled projections. Use Budgets to monitor cost model accuracy and trigger alerts when costs deviate from models.
Get detailed cost and usage data to build accurate cost models. Use CUR data to understand cost drivers and validate model assumptions.
Collect usage metrics and performance data to inform cost models. Use CloudWatch data to correlate resource utilization with costs.
Get cost optimization recommendations to improve cost models. Use Trusted Advisor insights to identify cost modeling opportunities.
Get rightsizing recommendations based on actual usage data. Use Compute Optimizer to identify optimal instance types and sizes for your workloads.
Collect detailed metrics on resource utilization and application performance. Use CloudWatch data to make informed resource selection decisions.
Analyze application performance and identify resource bottlenecks. Use X-Ray data to understand resource requirements for optimal performance.
Analyze cost patterns and correlate them with resource usage. Use Cost Explorer to understand the cost impact of different resource configurations.
Collect system-level metrics and inventory data. Use Systems Manager to gather comprehensive data about your infrastructure and applications.
Analyze log data to understand application behavior and resource usage patterns. Use Insights to correlate logs with performance and cost metrics.
Automatically adjust resource capacity based on demand and cost targets. Use Auto Scaling to optimize resource usage and costs dynamically across multiple services.
Automatically scale EC2 instances based on metrics and policies. Use predictive scaling and target tracking to optimize for both performance and cost.
Implement serverless automation logic for resource management. Use Lambda functions to create custom automation workflows and decision engines.
Monitor metrics and trigger automated actions. Use CloudWatch alarms and events to initiate automated resource adjustments.
Automate resource management tasks and configurations. Use Systems Manager Automation to implement complex resource management workflows.
Orchestrate automated workflows based on events and metrics. Use EventBridge to coordinate complex automation scenarios across multiple services.
Bin-pack multiple tasks or pods onto shared compute to raise utilization and reduce the number of instances required.
Share an underlying managed fleet across many workloads, paying only for what each invocation consumes.
Attribute the cost of shared container and other resources back to individual workloads for fair chargeback.
Analyze costs and usage patterns to identify optimal pricing models. Use Cost Explorer's Reserved Instance and Savings Plans recommendations.
Get recommendations for optimal instance types and sizes to maximize the value of Reserved Instances and Savings Plans.
Model costs for different pricing scenarios and regions. Compare pricing models to identify the most cost-effective options.
Find and compare third-party solutions with various pricing models. Leverage marketplace pricing options for cost optimization.
Set up budgets to track spending against pricing model commitments. Monitor Reserved Instance and Savings Plans utilization.
Get detailed cost and usage data to analyze pricing model effectiveness and identify optimization opportunities.
Analyze historical costs and usage patterns. Use Cost Explorer's Reserved Instance and Savings Plans recommendations to identify optimization opportunities.
Get rightsizing recommendations that complement pricing model optimization. Use insights to ensure you're purchasing the right Reserved Instances.
Model different pricing scenarios and compare total costs. Use the calculator to evaluate the financial impact of different pricing model combinations.
Access detailed cost and usage data for comprehensive analysis. Use CUR data to perform advanced pricing model analysis and optimization.
Track spending against pricing model commitments and targets. Set up alerts for Reserved Instance and Savings Plans utilization.
Get recommendations for cost optimization including Reserved Instance opportunities. Use Trusted Advisor insights to identify pricing model improvements.
Compare costs across different regions for your specific workload requirements. Use the calculator to model regional cost differences and total cost of ownership.
Analyze current costs by region and identify optimization opportunities. Use Cost Explorer to understand regional spending patterns and trends.
Use CloudFront to serve content globally while keeping origin resources in cost-effective regions. Optimize content delivery costs through strategic edge location usage.
Improve performance for global applications while keeping compute resources in cost-optimized regions. Use Global Accelerator to balance cost and performance.
Implement intelligent routing to direct traffic to cost-optimized regions based on various criteria including cost, performance, and availability.
Optimize network costs for high-volume data transfer between on-premises and AWS regions. Use Direct Connect to reduce data transfer costs.
Find and compare third-party solutions with transparent pricing. Use Marketplace to access pre-negotiated pricing and simplified procurement processes.
Track and analyze costs from third-party services and marketplace purchases. Use Cost Explorer to understand the cost impact of third-party solutions.
Set budgets and alerts for third-party service spending. Monitor third-party costs against allocated budgets and optimization targets.
Get detailed cost breakdowns for third-party services and marketplace purchases. Use CUR data to analyze third-party cost trends and optimization opportunities.
Manage and optimize software licenses across your AWS infrastructure. Use License Manager to track license usage and identify optimization opportunities.
Manage and monitor third-party software deployments. Use Systems Manager to optimize third-party software configurations and usage.
Analyze costs by service and component to identify optimization opportunities. Use Cost Explorer to understand component-level cost patterns and trends.
Get rightsizing recommendations for compute components. Use Compute Optimizer to optimize EC2, Lambda, and EBS configurations at the component level.
Get component-specific cost optimization recommendations. Use Trusted Advisor to identify underutilized resources and optimization opportunities.
Get detailed cost breakdowns by component and resource. Use CUR data to perform granular component-level cost analysis.
Set component-level budgets and cost controls. Monitor spending for individual components and services within your workload.
Organize and manage workload components for cost tracking and optimization. Use Resource Groups to apply consistent cost optimization strategies.
Generate commitment recommendations against aggregated organization-wide usage at the management account.
Rolls up member-account usage to the payer account so pricing-model analysis spans the whole organization.
Shared across linked accounts when purchased at the management account, maximizing coverage and utilization.
Global content delivery network that reduces data transfer costs and improves performance. Use CloudFront to cache content closer to users and reduce origin data transfer.
Dedicated network connection to AWS that can reduce data transfer costs for high-volume transfers. Use Direct Connect for predictable, high-bandwidth requirements.
Private connections to AWS services that eliminate internet gateway data transfer costs. Use VPC endpoints to reduce costs for service-to-service communication.
Analyze data transfer costs and identify optimization opportunities. Use Cost Explorer to understand data transfer patterns and cost trends.
Monitor data transfer metrics and set up alerts for cost anomalies. Use CloudWatch to track data transfer volumes and patterns.
Get detailed data transfer cost breakdowns and usage patterns. Use CUR data for comprehensive data transfer cost analysis.
Analyze data transfer costs with detailed breakdowns by service, region, and time period. Use Cost Explorer's filtering and grouping capabilities to understand transfer cost patterns.
Access detailed data transfer cost and usage data for comprehensive analysis. Use CUR data to perform advanced analytics and create custom dashboards.
Monitor data transfer metrics and volumes in real-time. Set up custom metrics and alarms for data transfer cost anomalies and threshold breaches.
Set budgets specifically for data transfer costs and receive alerts when thresholds are exceeded. Create separate budgets for different transfer categories.
Create advanced data transfer cost dashboards and analytics. Use QuickSight to visualize transfer patterns and identify optimization opportunities.
Track configuration changes that might impact data transfer costs. Monitor resource configurations and their impact on data transfer patterns.
Global CDN that caches content at edge locations to reduce origin data transfer costs. Use CloudFront to optimize content delivery and reduce internet egress charges.
In-memory caching service that reduces database and API data transfer by caching frequently accessed data. Use ElastiCache to minimize repeated data transfers.
Improve performance and reduce data transfer costs by routing traffic through AWS global network infrastructure. Use Global Accelerator for optimal routing.
Accelerate uploads to S3 using CloudFront edge locations. Use Transfer Acceleration to optimize large file uploads and reduce transfer times.
Optimize data transfer between on-premises and AWS with built-in optimization features. Use DataSync for efficient large-scale data migration and synchronization.
Monitor data transfer patterns and optimization effectiveness. Use CloudWatch metrics to track transfer volumes and identify optimization opportunities.
Global CDN that significantly reduces data transfer costs by caching content at edge locations worldwide. Use CloudFront to reduce origin server load and internet egress costs.
Dedicated network connection that provides predictable, lower-cost data transfer for high-volume workloads. Use Direct Connect for consistent, high-bandwidth requirements.
Private connections to AWS services that eliminate internet gateway data transfer costs. Use VPC endpoints to reduce costs for service-to-service communication.
Improve application performance and reduce data transfer costs by routing traffic through AWS global network infrastructure.
Accelerate uploads to S3 using CloudFront edge locations, reducing transfer time and potentially costs for large file uploads.
Secure, private connectivity between VPCs and AWS services without traversing the internet, reducing data transfer costs and improving security.
Monitor demand patterns, resource utilization, and performance metrics. Use CloudWatch for demand analysis and triggering scaling actions.
Automatically adjust resource capacity based on demand. Use Auto Scaling to implement dynamic supply management across multiple services.
Implement queuing and buffering to manage demand spikes. Use SQS to decouple components and smooth demand patterns.
Implement serverless architectures that automatically scale with demand. Use Lambda for event-driven workloads with variable demand.
Implement throttling and rate limiting for API demand management. Use API Gateway to control and shape demand patterns.
Distribute demand across multiple resources and implement traffic shaping. Use ALB for intelligent demand distribution and management.
Collect and analyze metrics on resource utilization, application performance, and demand patterns. Use CloudWatch for comprehensive demand monitoring and analysis.
Analyze cost patterns and correlate them with usage trends. Use Cost Explorer to understand the financial impact of demand patterns and identify optimization opportunities.
Create advanced analytics dashboards and visualizations for demand analysis. Use QuickSight to identify patterns and trends in large datasets.
Analyze application performance and identify demand patterns at the service level. Use X-Ray to understand how demand flows through your application architecture.
Stream and analyze real-time demand data for immediate insights. Use Kinesis for real-time demand pattern analysis and anomaly detection.
Process and transform demand data from multiple sources for comprehensive analysis. Use Glue to create unified demand datasets for analysis.
Implement message queuing for demand buffering and asynchronous processing. Use SQS to decouple components and smooth demand spikes.
Implement API throttling and rate limiting to control request flow. Use API Gateway's built-in throttling capabilities to manage demand.
Stream and buffer real-time data for processing at controlled rates. Use Kinesis for high-throughput data buffering and stream processing.
Distribute load and implement connection throttling. Use ALB for intelligent request distribution and connection management.
Implement caching to reduce backend demand and improve response times. Use ElastiCache to buffer frequently accessed data.
Orchestrate workflows with built-in error handling and retry logic. Use Step Functions to manage complex processing workflows with demand control.
Automatically scale multiple AWS resources across services. Use Auto Scaling to implement comprehensive dynamic resource management across your entire application stack.
Automatically scale EC2 instances based on demand. Use EC2 Auto Scaling for compute resource optimization with predictive and reactive scaling capabilities.
Implement serverless computing that scales automatically from zero. Use Lambda for event-driven workloads that require instant scaling without resource management.
Scale containerized applications automatically. Use container auto-scaling for microservices architectures with fine-grained resource control.
Automatically adjust DynamoDB capacity based on traffic patterns. Use DynamoDB auto-scaling to optimize database costs while maintaining performance.
Use serverless database that automatically scales capacity. Implement Aurora Serverless for variable database workloads with automatic scaling.
Stay updated on new AWS services and features. Subscribe to AWS What's New to receive notifications about service launches and updates that may benefit your workloads.
Model costs for new services and compare them with existing solutions. Use the calculator to evaluate the financial impact of adopting new services.
Analyze current costs to identify areas where new services might provide optimization opportunities. Use Cost Explorer to understand baseline costs for comparison.
Evaluate workloads against Well-Architected principles and identify opportunities for new service adoption. Use the tool to track optimization progress.
Get recommendations for cost optimization and new service adoption opportunities. Use Trusted Advisor insights to identify potential improvements.
Track configuration changes and compliance with best practices. Use Config to monitor the impact of new service adoptions on your architecture.
Conduct systematic workload reviews using Well-Architected principles. Use the tool to identify optimization opportunities and track improvement progress.
Track workload configuration changes and compliance with best practices. Use Config to monitor the impact of optimization changes and maintain configuration history.
Manage and automate workload review processes. Use Systems Manager for inventory management, patch compliance, and operational insights.
Analyze workload costs and identify optimization opportunities. Use Cost Explorer to understand cost trends and the impact of architectural changes.
Get automated recommendations for workload optimization. Use Trusted Advisor insights as input for workload reviews and optimization planning.
Create dashboards and reports for workload review processes. Use QuickSight to visualize review findings and track optimization progress.
Create standardized processes and criteria for evaluating the effort required for optimization initiatives. Develop templates, checklists, and estimation methodologies that can be consistently applied across different types of projects. Include guidelines for risk assessment, resource planning, and cost-benefit analysis.
Develop organizational skills and tools for accurately estimating effort requirements. This includes training teams on estimation techniques, building historical databases of effort data, and implementing tools for effort tracking and analysis. Consider multiple estimation approaches and validate estimates through peer review.
Put in place systems to track actual effort against estimates and capture lessons learned. Use this data to continuously improve effort evaluation accuracy and build organizational knowledge about optimization costs. Create feedback loops to refine estimation processes and share insights across teams.
Embed effort evaluation into organizational decision-making processes for optimization initiatives. Ensure that effort analysis is considered alongside technical feasibility and business value when prioritizing projects. Create governance structures that use effort evaluation data for resource allocation decisions.
Use Systems Manager for tracking and managing optimization activities across your AWS infrastructure. Parameter Store can maintain effort estimation templates and historical data, while Session Manager can facilitate collaborative effort evaluation sessions. Use Systems Manager Automation to standardize effort tracking processes.
Create dashboards and reports to visualize effort tracking data, compare estimates vs. actuals, and identify patterns in optimization effort requirements. QuickSight can help communicate effort analysis results to stakeholders and support data-driven decision making for resource allocation.
Analyze the cost impact of optimization efforts over time. Cost Explorer can help quantify the financial benefits achieved relative to the effort invested, supporting ROI calculations for optimization initiatives and validating effort evaluation accuracy.
Use Infrastructure as Code to standardize and automate deployment processes, reducing implementation effort and improving consistency. CloudFormation templates can capture deployment complexity and help estimate effort for similar optimization initiatives.
Monitor the performance and cost impact of optimization initiatives to validate effort estimates and measure actual benefits. Use CloudWatch metrics and alarms to track optimization outcomes and support continuous improvement of effort evaluation processes.
Use the Well-Architected Tool to systematically evaluate workloads and identify optimization opportunities. The tool can help estimate the effort required for different types of improvements and provide guidance on prioritization based on effort and impact.
Automate patching, runbooks, and routine operational tasks to cut recurring manual effort.
Build event-driven automation that responds to operational events without standing infrastructure.
Automate repeatable provisioning and configuration to remove manual, error-prone setup work.
Analyzes usage telemetry and recommends resource sizing adjustments to improve performance and efficiency.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Traces distributed requests to identify latency bottlenecks and dependency failures across microservices.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Runs controlled chaos experiments to validate resilience and recovery mechanisms.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Offers flexible instance families so you can match CPU, memory, storage, and network characteristics to workload needs.
Runs containerized workloads with managed scheduling and scaling for efficient compute utilization.
Provides managed Kubernetes control planes for container orchestration with high availability options.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Adjusts compute capacity automatically based on demand and policies to keep latency and utilization in target ranges.
Analyzes usage telemetry and recommends resource sizing adjustments to improve performance and efficiency.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Offers flexible instance families to match workload performance and capacity requirements.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Delivers highly durable object storage with storage classes and lifecycle controls for performance and cost optimization.
Provides block storage options tuned for latency-sensitive and throughput-intensive workloads.
Offers shared file storage with elastic scaling for Linux workloads across multiple instances.
Provides managed high-performance file systems for specialized Windows, Lustre, NetApp ONTAP, and OpenZFS workloads.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Delivers durable object storage with lifecycle controls for efficient data management.
Provides block storage options optimized for different IOPS and throughput profiles.
Provides elastic shared file storage for Linux workloads across compute instances.
Offers managed high-performance file systems for specialized workload requirements.
Delivers durable object storage with lifecycle controls for efficient data management.
Provides block storage options optimized for different IOPS and throughput profiles.
Provides elastic shared file storage for Linux workloads across compute instances.
Offers managed high-performance file systems for specialized workload requirements.
Delivers durable object storage with lifecycle controls for efficient data management.
Provides block storage options optimized for different IOPS and throughput profiles.
Provides elastic shared file storage for Linux workloads across compute instances.
Offers managed high-performance file systems for specialized workload requirements.
Delivers durable object storage with lifecycle controls for efficient data management.
Provides block storage options optimized for different IOPS and throughput profiles.
Provides elastic shared file storage for Linux workloads across compute instances.
Offers managed high-performance file systems for specialized workload requirements.
Delivers durable object storage with lifecycle controls for efficient data management.
Provides block storage options optimized for different IOPS and throughput profiles.
Provides elastic shared file storage for Linux workloads across compute instances.
Offers managed high-performance file systems for specialized workload requirements.
Defines network isolation, routing, and segmentation controls for workload traffic paths.
Distributes traffic across healthy targets to improve response times and resilience.
Caches content at edge locations to reduce latency for global users and offload origins.
Provides DNS routing policies and health checks for latency and availability optimization.
Improves global application performance using the AWS edge network and static anycast IPs.
Simplifies connectivity between VPCs and on-premises networks with centralized routing.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Defines network segmentation, routing, and connectivity controls for workloads.
Distributes traffic across healthy targets for better availability and response time.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Traces distributed requests to identify latency bottlenecks and dependency failures across microservices.
Routes events between services and triggers automated responses for operational events.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Routes events and triggers automation workflows for rapid operational response.
Provides automation, inventory, and operational runbooks for day-2 management.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Centralizes multi-account governance so you can apply policies, standards, and delegated administration consistently across workloads.
Tracks resource configuration changes and evaluates compliance against operational policies.
Surfaces recommendations for reliability, security, and performance improvements across your AWS environment.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Centralizes multi-account governance so you can apply policies, standards, and delegated administration consistently across workloads.
Automates landing zone setup and guardrails, helping teams standardize operations and governance from the start.
Publishes approved infrastructure products so teams can provision compliant patterns quickly.
AWS IAM Identity Center helps implement this capability with managed controls and operational visibility.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Automates multi-account setup with guardrails, making standardized operations easier at scale.
Publishes approved patterns so teams deploy compliant infrastructure consistently.
Provides automation, inventory, and operational runbooks for day-2 management.
Helps prepare response plans, escalation paths, and timeline tracking during incidents.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Routes events between services and triggers automated responses for operational events.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Runs controlled chaos experiments to validate resilience and recovery mechanisms.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Routes events and triggers automation workflows for rapid operational response.
Runs controlled failure experiments to validate resilience and readiness.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Traces distributed requests to identify latency bottlenecks and dependency failures across microservices.
Provides managed search and analytics engines for near real-time insights.
Routes events between services and triggers automated responses for operational events.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Supports centralized analysis of operational telemetry and troubleshooting signals.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Supports centralized analysis of operational telemetry and troubleshooting signals.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Supports centralized analysis of operational telemetry and troubleshooting signals.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Supports centralized analysis of operational telemetry and troubleshooting signals.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Supports centralized analysis of operational telemetry and troubleshooting signals.
Routes events and triggers automation workflows for rapid operational response.
Automates release workflows with built-in stages for quality checks and controlled deployments.
Runs build and test jobs in isolated environments to validate changes before deployment.
Supports safe deployment strategies such as canary and linear rollout to reduce release risk.
Defines infrastructure as code so changes are repeatable, reviewable, and easier to roll back when needed.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Deploys application updates with strategies such as canary and linear rollout.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Supports safe deployment strategies such as canary and linear rollout to reduce release risk.
Automates release workflows with built-in stages for quality checks and controlled deployments.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Distributes traffic across healthy targets to improve response times and resilience.
Deploys application updates with strategies such as canary and linear rollout.
Automates release workflows with quality gates and controlled promotions.
Collects metrics, logs, and alarms that support operational insight and performance management.
Distributes traffic across healthy targets for better availability and response time.
Deploys application updates with strategies such as canary and linear rollout.
Automates release workflows with quality gates and controlled promotions.
Collects metrics, logs, and alarms that support operational insight and performance management.
Distributes traffic across healthy targets for better availability and response time.
Deploys application updates with strategies such as canary and linear rollout.
Automates release workflows with quality gates and controlled promotions.
Collects metrics, logs, and alarms that support operational insight and performance management.
Distributes traffic across healthy targets for better availability and response time.
Deploys application updates with strategies such as canary and linear rollout.
Automates release workflows with quality gates and controlled promotions.
Collects metrics, logs, and alarms that support operational insight and performance management.
Distributes traffic across healthy targets for better availability and response time.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Helps prepare response plans, escalation paths, and timeline tracking during incidents.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Tracks resource configuration changes and evaluates compliance against operational policies.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Provides automation, inventory, and operational runbooks for day-2 management.
Coordinates incident response with predefined plans, contacts, and timelines.
Collects metrics, logs, and alarms that support operational insight and performance management.
Tracks configuration changes and compliance state to detect drift and enforce standards.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Traces distributed requests to identify latency bottlenecks and dependency failures across microservices.
Provides service and account-specific health events so operators can respond quickly to AWS-impacting incidents.
Provides DNS routing policies and health checks for latency and availability optimization.
Routes events between services and triggers automated responses for operational events.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Provides account- and service-specific health events for proactive operations.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Provides account- and service-specific health events for proactive operations.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Provides account- and service-specific health events for proactive operations.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Provides account- and service-specific health events for proactive operations.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, and alarms that support operational insight and performance management.
Traces distributed requests to identify latency sources and dependency failures.
Provides account- and service-specific health events for proactive operations.
Routes events and triggers automation workflows for rapid operational response.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Helps prepare response plans, escalation paths, and timeline tracking during incidents.
Routes events between services and triggers automated responses for operational events.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Collects metrics, logs, and alarms that support operational insight and performance management.
Coordinates incident response with predefined plans, contacts, and timelines.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Coordinates incident response with predefined plans, contacts, and timelines.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Coordinates incident response with predefined plans, contacts, and timelines.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events between services and triggers automated responses for operational events.
Helps prepare response plans, escalation paths, and timeline tracking during incidents.
Delivers notifications to people and systems for alarm, incident, and workflow integration use cases.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Routes events and triggers automation workflows for rapid operational response.
Coordinates incident response with predefined plans, contacts, and timelines.
Sends notifications to people and systems for incidents and operational events.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Captures workload reviews, risks, and improvement plans so teams can continuously track architecture quality.
Surfaces recommendations for reliability, security, and performance improvements across your AWS environment.
Provides operational automation, inventory, and runbooks to reduce manual effort and improve day-2 operations.
Defines infrastructure as code so changes are repeatable, reviewable, and easier to roll back when needed.
Centralizes multi-account governance so you can apply policies, standards, and delegated administration consistently across workloads.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Captures architectural risks and improvement items so teams can track best-practice adoption over time.
Provides actionable recommendations to improve reliability, performance, and cost efficiency.
Provides automation, inventory, and operational runbooks for day-2 management.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Caches content at edge locations to reduce latency for global users and offload origins.
Provides DNS routing policies and health checks for latency and availability optimization.
Centralizes multi-account governance so you can apply policies, standards, and delegated administration consistently across workloads.
Analyzes usage and cost trends to identify optimization opportunities in workload design.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Caches content at edge locations to reduce latency and origin load.
Provides DNS routing policies and health checks for traffic optimization.
Applies governance controls across accounts so operational and architectural standards stay consistent.
Analyzes usage and spend trends to support sustainability and efficiency decisions.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Caches content at edge locations to reduce latency for global users and offload origins.
Buffers asynchronous workloads to absorb traffic spikes and improve throughput stability.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Runs serverless SQL queries on data in S3 for analytics and operational reporting.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Collects metrics, logs, and alarms that support operational insight and performance management.
Caches content at edge locations to reduce latency and origin load.
Buffers asynchronous work to smooth demand and improve system utilization.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Runs containerized workloads with managed scheduling and scaling for efficient compute utilization.
Provides managed Kubernetes control planes for container orchestration with high availability options.
Routes events between services and triggers automated responses for operational events.
Coordinates multi-step workflows with retries, branching, and observability for resilient orchestration.
Buffers asynchronous workloads to absorb traffic spikes and improve throughput stability.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Routes events and triggers automation workflows for rapid operational response.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Runs container workloads with managed orchestration and scaling options.
Provides managed Kubernetes control planes for containerized application operation.
Routes events and triggers automation workflows for rapid operational response.
Delivers highly durable object storage with storage classes and lifecycle controls for performance and cost optimization.
Builds and automates data cataloging and ETL pipelines to improve data processing efficiency.
Runs serverless SQL queries on data in S3 for analytics and operational reporting.
Runs scalable big data frameworks for batch and streaming data workloads.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Delivers durable object storage with lifecycle controls for efficient data management.
Automates data cataloging and ETL workflows for efficient data processing.
Queries data in S3 with serverless SQL for analytics and reporting.
Runs scalable big data processing frameworks for batch and streaming workloads.
Analyzes usage telemetry and recommends resource sizing adjustments to improve performance and efficiency.
Offers flexible instance families so you can match CPU, memory, storage, and network characteristics to workload needs.
Provides Arm-based compute options with strong price-performance for many application profiles.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Runs containerized workloads with managed scheduling and scaling for efficient compute utilization.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Offers flexible instance families to match workload performance and capacity requirements.
Provides energy-efficient compute options with strong price-performance for many workloads.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Offers flexible instance families to match workload performance and capacity requirements.
Provides energy-efficient compute options with strong price-performance for many workloads.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Offers flexible instance families to match workload performance and capacity requirements.
Provides energy-efficient compute options with strong price-performance for many workloads.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Recommends rightsizing and configuration adjustments based on observed usage patterns.
Offers flexible instance families to match workload performance and capacity requirements.
Provides energy-efficient compute options with strong price-performance for many workloads.
Runs event-driven automation without managing servers, ideal for remediation workflows.
Automates release workflows with built-in stages for quality checks and controlled deployments.
Runs build and test jobs in isolated environments to validate changes before deployment.
Defines infrastructure as code so changes are repeatable, reviewable, and easier to roll back when needed.
Runs event-driven code without managing servers, ideal for automation and on-demand operational workflows.
Collects metrics, logs, alarms, and dashboards so teams can detect issues early and track operational outcomes.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Collects metrics, logs, and alarms that support operational insight and performance management.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Collects metrics, logs, and alarms that support operational insight and performance management.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Collects metrics, logs, and alarms that support operational insight and performance management.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Collects metrics, logs, and alarms that support operational insight and performance management.
Automates release workflows with quality gates and controlled promotions.
Executes build and test stages in managed environments to validate changes quickly.
Defines infrastructure as code for repeatable, auditable, and reversible changes.
Collects metrics, logs, and alarms that support operational insight and performance management.