REL04
REL04-BP01 - Identify the kind of distributed systems you depend on
REL04-BP01: Identify the kind of distributed systems you depend on
Overview
Systematically identify and catalog all distributed systems, services, and dependencies that your workload relies upon to understand failure modes, communication patterns, and reliability characteristics. This comprehensive understanding enables you to design appropriate resilience patterns, implement proper monitoring, and establish effective failure handling strategies for each type of distributed system interaction.
Implementation Steps
1. Conduct Comprehensive Dependency Discovery
- Map all external service dependencies and their characteristics
- Identify synchronous and asynchronous communication patterns
- Catalog third-party services, APIs, and external data sources
- Document internal microservices and their interdependencies
2. Classify Distributed System Types and Patterns
- Categorize dependencies by communication patterns and reliability characteristics
- Identify request-response, publish-subscribe, and event-driven patterns
- Classify services by criticality and failure impact
- Document data consistency requirements and transaction boundaries
3. Analyze Failure Modes and Impact
- Identify potential failure scenarios for each dependency type
- Assess cascading failure risks and blast radius
- Evaluate timeout, retry, and circuit breaker requirements
- Document recovery time objectives and acceptable degradation levels
4. Implement Dependency Monitoring and Observability
- Deploy comprehensive monitoring for all identified dependencies
- Implement distributed tracing across service boundaries
- Establish health checks and dependency status monitoring
- Create dashboards and alerting for dependency failures
5. Design Resilience Patterns for Each Dependency Type
- Implement appropriate resilience patterns based on dependency characteristics
- Configure circuit breakers, bulkheads, and timeout strategies
- Design fallback mechanisms and graceful degradation
- Establish retry policies and backoff strategies
6. Establish Dependency Governance and Documentation
- Create and maintain dependency catalogs and documentation
- Implement dependency approval and review processes
- Establish SLA requirements and monitoring for critical dependencies
- Create runbooks and incident response procedures
Implementation Examples
Example 1: Distributed Systems Discovery and Analysis Engine
View code
import boto3
import json
import logging
import time
import networkx as nx
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Set, Tuple, Any
from dataclasses import dataclass, asdict, field
from enum import Enum
import concurrent.futures
import threading
from collections import defaultdict
import requests
class DependencyType(Enum):
SYNCHRONOUS_API = "synchronous_api"
ASYNCHRONOUS_MESSAGE = "asynchronous_message"
DATABASE = "database"
CACHE = "cache"
STORAGE = "storage"
THIRD_PARTY_SERVICE = "third_party_service"
INTERNAL_SERVICE = "internal_service"
EVENT_STREAM = "event_stream"
class CommunicationPattern(Enum):
REQUEST_RESPONSE = "request_response"
PUBLISH_SUBSCRIBE = "publish_subscribe"
EVENT_DRIVEN = "event_driven"
STREAMING = "streaming"
BATCH_PROCESSING = "batch_processing"
class CriticalityLevel(Enum):
CRITICAL = "critical"
HIGH = "high"
MEDIUM = "medium"
LOW = "low"
@dataclass
class DistributedSystemDependency:
dependency_id: str
name: str
dependency_type: DependencyType
communication_pattern: CommunicationPattern
criticality_level: CriticalityLevel
endpoint_url: Optional[str]
service_owner: str
sla_requirements: Dict[str, Any]
failure_modes: List[str]
timeout_config: Dict[str, int]
retry_config: Dict[str, Any]
circuit_breaker_config: Dict[str, Any]
monitoring_config: Dict[str, Any]
discovered_at: str
last_validated: str
@dataclass
class DependencyAnalysisResult:
total_dependencies: int
dependency_breakdown: Dict[str, int]
critical_path_analysis: Dict[str, Any]
failure_impact_analysis: Dict[str, Any]
resilience_gaps: List[str]
recommendations: List[str]
class DistributedSystemsAnalyzer:
def __init__(self, config: Dict):
self.config = config
self.ec2 = boto3.client('ec2')
self.elbv2 = boto3.client('elbv2')
self.apigateway = boto3.client('apigateway')
self.lambda_client = boto3.client('lambda')
self.rds = boto3.client('rds')
self.elasticache = boto3.client('elasticache')
self.xray = boto3.client('xray')
self.cloudwatch = boto3.client('cloudwatch')
self.dynamodb = boto3.resource('dynamodb')
self.sns = boto3.client('sns')
# Initialize dependency tracking table
self.dependencies_table = self.dynamodb.Table(
config.get('dependencies_table_name', 'distributed-systems-dependencies')
)
# Thread lock for concurrent operations
self.lock = threading.Lock()
def discover_distributed_systems(self, discovery_config: Dict) -> Dict:
"""Discover and analyze all distributed system dependencies"""
analysis_id = f"dependency_analysis_{int(datetime.utcnow().timestamp())}"
analysis_result = {
'analysis_id': analysis_id,
'timestamp': datetime.utcnow().isoformat(),
'discovery_config': discovery_config,
'discovered_dependencies': {},
'dependency_graph': {},
'failure_analysis': {},
'resilience_assessment': {},
'recommendations': {},
'status': 'initiated'
}
try:
# 1. Discover AWS service dependencies
aws_dependencies = self.discover_aws_service_dependencies(
discovery_config.get('aws_services', {})
)
analysis_result['discovered_dependencies']['aws_services'] = aws_dependencies
# 2. Discover external API dependencies
external_dependencies = self.discover_external_api_dependencies(
discovery_config.get('external_apis', [])
)
analysis_result['discovered_dependencies']['external_apis'] = external_dependencies
# 3. Discover internal service dependencies
internal_dependencies = self.discover_internal_service_dependencies(
discovery_config.get('internal_services', {})
)
analysis_result['discovered_dependencies']['internal_services'] = internal_dependencies
# 4. Build dependency graph
dependency_graph = self.build_dependency_graph(analysis_result['discovered_dependencies'])
analysis_result['dependency_graph'] = dependency_graph
# 5. Analyze failure modes and impact
failure_analysis = self.analyze_failure_modes(
analysis_result['discovered_dependencies'], dependency_graph
)
analysis_result['failure_analysis'] = failure_analysis
# 6. Assess resilience patterns
resilience_assessment = self.assess_resilience_patterns(
analysis_result['discovered_dependencies']
)
analysis_result['resilience_assessment'] = resilience_assessment
# 7. Generate recommendations
recommendations = self.generate_resilience_recommendations(
analysis_result['discovered_dependencies'],
failure_analysis,
resilience_assessment
)
analysis_result['recommendations'] = recommendations
analysis_result['status'] = 'completed'
# Store analysis results
self.store_analysis_results(analysis_result)
# Send notifications
self.send_analysis_notifications(analysis_result)
return analysis_result
except Exception as e:
logging.error(f"Distributed systems analysis failed: {str(e)}")
analysis_result['status'] = 'failed'
analysis_result['error'] = str(e)
return analysis_result
def discover_aws_service_dependencies(self, aws_config: Dict) -> Dict:
"""Discover AWS service dependencies"""
aws_dependencies = {
'databases': [],
'caches': [],
'apis': [],
'storage': [],
'messaging': [],
'compute': []
}
try:
# Discover RDS databases
if aws_config.get('include_rds', True):
rds_dependencies = self.discover_rds_dependencies()
aws_dependencies['databases'].extend(rds_dependencies)
# Discover DynamoDB tables
if aws_config.get('include_dynamodb', True):
dynamodb_dependencies = self.discover_dynamodb_dependencies()
aws_dependencies['databases'].extend(dynamodb_dependencies)
# Discover ElastiCache clusters
if aws_config.get('include_elasticache', True):
cache_dependencies = self.discover_elasticache_dependencies()
aws_dependencies['caches'].extend(cache_dependencies)
# Discover API Gateway APIs
if aws_config.get('include_apigateway', True):
api_dependencies = self.discover_apigateway_dependencies()
aws_dependencies['apis'].extend(api_dependencies)
# Discover Lambda functions
if aws_config.get('include_lambda', True):
lambda_dependencies = self.discover_lambda_dependencies()
aws_dependencies['compute'].extend(lambda_dependencies)
# Discover S3 buckets
if aws_config.get('include_s3', True):
s3_dependencies = self.discover_s3_dependencies()
aws_dependencies['storage'].extend(s3_dependencies)
return aws_dependencies
except Exception as e:
logging.error(f"AWS service discovery failed: {str(e)}")
return aws_dependencies
def discover_rds_dependencies(self) -> List[Dict]:
"""Discover RDS database dependencies"""
dependencies = []
try:
response = self.rds.describe_db_instances()
for db_instance in response['DBInstances']:
if db_instance['DBInstanceStatus'] == 'available':
dependency = DistributedSystemDependency(
dependency_id=f"rds_{db_instance['DBInstanceIdentifier']}",
name=db_instance['DBInstanceIdentifier'],
dependency_type=DependencyType.DATABASE,
communication_pattern=CommunicationPattern.REQUEST_RESPONSE,
criticality_level=self.determine_criticality_from_tags(
db_instance.get('TagList', [])
),
endpoint_url=f"{db_instance['Endpoint']['Address']}:{db_instance['Endpoint']['Port']}",
service_owner=self.extract_owner_from_tags(db_instance.get('TagList', [])),
sla_requirements={
'availability': '99.95%',
'max_latency_ms': 100,
'max_connections': db_instance.get('MaxAllocatedStorage', 1000)
},
failure_modes=[
'connection_timeout',
'connection_pool_exhaustion',
'database_unavailable',
'read_replica_lag',
'storage_full'
],
timeout_config={
'connection_timeout_ms': 5000,
'query_timeout_ms': 30000
},
retry_config={
'max_retries': 3,
'backoff_strategy': 'exponential',
'base_delay_ms': 100
},
circuit_breaker_config={
'failure_threshold': 5,
'timeout_ms': 60000,
'half_open_max_calls': 3
},
monitoring_config={
'health_check_interval_s': 30,
'metrics_collection': True,
'alerting_enabled': True
},
discovered_at=datetime.utcnow().isoformat(),
last_validated=datetime.utcnow().isoformat()
)
dependencies.append(asdict(dependency))
return dependencies
except Exception as e:
logging.error(f"RDS dependency discovery failed: {str(e)}")
return dependencies
def discover_external_api_dependencies(self, external_apis: List[Dict]) -> List[Dict]:
"""Discover external API dependencies"""
dependencies = []
try:
for api_config in external_apis:
# Validate API endpoint
endpoint_url = api_config.get('endpoint_url')
if not endpoint_url:
continue
# Test API connectivity
api_health = self.test_api_connectivity(endpoint_url)
dependency = DistributedSystemDependency(
dependency_id=f"external_api_{api_config.get('name', 'unknown')}",
name=api_config.get('name', 'Unknown External API'),
dependency_type=DependencyType.THIRD_PARTY_SERVICE,
communication_pattern=CommunicationPattern.REQUEST_RESPONSE,
criticality_level=CriticalityLevel(api_config.get('criticality', 'medium')),
endpoint_url=endpoint_url,
service_owner=api_config.get('owner', 'external'),
sla_requirements=api_config.get('sla_requirements', {
'availability': '99.9%',
'max_latency_ms': 5000
}),
failure_modes=[
'api_unavailable',
'rate_limit_exceeded',
'authentication_failure',
'timeout',
'invalid_response'
],
timeout_config={
'connection_timeout_ms': api_config.get('timeout_ms', 10000),
'read_timeout_ms': api_config.get('read_timeout_ms', 30000)
},
retry_config=api_config.get('retry_config', {
'max_retries': 3,
'backoff_strategy': 'exponential',
'base_delay_ms': 1000
}),
circuit_breaker_config=api_config.get('circuit_breaker_config', {
'failure_threshold': 5,
'timeout_ms': 60000,
'half_open_max_calls': 3
}),
monitoring_config={
'health_check_interval_s': 60,
'metrics_collection': True,
'alerting_enabled': True,
'current_status': api_health['status']
},
discovered_at=datetime.utcnow().isoformat(),
last_validated=datetime.utcnow().isoformat()
)
dependencies.append(asdict(dependency))
return dependencies
except Exception as e:
logging.error(f"External API discovery failed: {str(e)}")
return dependencies
def test_api_connectivity(self, endpoint_url: str) -> Dict[str, Any]:
"""Test connectivity to external API"""
try:
start_time = time.time()
response = requests.get(endpoint_url, timeout=10)
response_time = (time.time() - start_time) * 1000
return {
'status': 'healthy' if response.status_code < 400 else 'unhealthy',
'status_code': response.status_code,
'response_time_ms': response_time,
'last_checked': datetime.utcnow().isoformat()
}
except requests.exceptions.Timeout:
return {
'status': 'timeout',
'error': 'Connection timeout',
'last_checked': datetime.utcnow().isoformat()
}
except Exception as e:
return {
'status': 'error',
'error': str(e),
'last_checked': datetime.utcnow().isoformat()
}
def build_dependency_graph(self, discovered_dependencies: Dict) -> Dict:
"""Build dependency graph for analysis"""
graph = nx.DiGraph()
dependency_map = {}
try:
# Add all dependencies as nodes
for category, deps in discovered_dependencies.items():
for dep in deps:
dep_id = dep['dependency_id']
graph.add_node(dep_id, **dep)
dependency_map[dep_id] = dep
# Add edges based on X-Ray traces or configuration
edges = self.discover_dependency_relationships(dependency_map)
for source, target in edges:
if graph.has_node(source) and graph.has_node(target):
graph.add_edge(source, target)
# Analyze graph properties
graph_analysis = {
'total_nodes': graph.number_of_nodes(),
'total_edges': graph.number_of_edges(),
'strongly_connected_components': len(list(nx.strongly_connected_components(graph))),
'cycles': list(nx.simple_cycles(graph)),
'critical_paths': self.find_critical_paths(graph),
'dependency_depth': self.calculate_dependency_depth(graph)
}
return {
'graph_data': {
'nodes': list(graph.nodes(data=True)),
'edges': list(graph.edges(data=True))
},
'analysis': graph_analysis
}
except Exception as e:
logging.error(f"Dependency graph building failed: {str(e)}")
return {'graph_data': {'nodes': [], 'edges': []}, 'analysis': {}}
def analyze_failure_modes(self, discovered_dependencies: Dict, dependency_graph: Dict) -> Dict:
"""Analyze failure modes and impact"""
failure_analysis = {
'single_points_of_failure': [],
'cascading_failure_risks': [],
'blast_radius_analysis': {},
'recovery_time_analysis': {},
'mitigation_strategies': {}
}
try:
# Identify single points of failure
for category, deps in discovered_dependencies.items():
for dep in deps:
if dep['criticality_level'] == 'critical':
# Check if this dependency has alternatives
alternatives = self.find_dependency_alternatives(dep, discovered_dependencies)
if not alternatives:
failure_analysis['single_points_of_failure'].append({
'dependency_id': dep['dependency_id'],
'name': dep['name'],
'impact': 'Service unavailable',
'mitigation_required': True
})
# Analyze cascading failure risks
graph_data = dependency_graph.get('graph_data', {})
if graph_data.get('nodes'):
cascading_risks = self.analyze_cascading_failures(graph_data)
failure_analysis['cascading_failure_risks'] = cascading_risks
# Calculate blast radius for each dependency
for category, deps in discovered_dependencies.items():
for dep in deps:
blast_radius = self.calculate_blast_radius(dep, dependency_graph)
failure_analysis['blast_radius_analysis'][dep['dependency_id']] = blast_radius
return failure_analysis
except Exception as e:
logging.error(f"Failure mode analysis failed: {str(e)}")
return failure_analysis
def generate_resilience_recommendations(self, discovered_dependencies: Dict,
failure_analysis: Dict,
resilience_assessment: Dict) -> List[Dict]:
"""Generate resilience recommendations"""
recommendations = []
try:
# Recommendations for single points of failure
for spof in failure_analysis.get('single_points_of_failure', []):
recommendations.append({
'type': 'single_point_of_failure',
'priority': 'high',
'dependency_id': spof['dependency_id'],
'recommendation': f"Implement redundancy for {spof['name']}",
'implementation_steps': [
'Deploy alternative service or backup system',
'Implement automatic failover mechanism',
'Add health checks and monitoring',
'Test failover procedures regularly'
],
'estimated_effort': 'high',
'business_impact': 'critical'
})
# Recommendations for missing circuit breakers
for category, deps in discovered_dependencies.items():
for dep in deps:
if not dep.get('circuit_breaker_config'):
recommendations.append({
'type': 'circuit_breaker',
'priority': 'medium',
'dependency_id': dep['dependency_id'],
'recommendation': f"Implement circuit breaker for {dep['name']}",
'implementation_steps': [
'Configure circuit breaker with appropriate thresholds',
'Implement fallback mechanisms',
'Add monitoring and alerting',
'Test circuit breaker behavior'
],
'estimated_effort': 'medium',
'business_impact': 'medium'
})
# Recommendations for timeout configuration
for category, deps in discovered_dependencies.items():
for dep in deps:
timeout_config = dep.get('timeout_config', {})
if not timeout_config or timeout_config.get('connection_timeout_ms', 0) > 10000:
recommendations.append({
'type': 'timeout_optimization',
'priority': 'medium',
'dependency_id': dep['dependency_id'],
'recommendation': f"Optimize timeout configuration for {dep['name']}",
'implementation_steps': [
'Analyze response time patterns',
'Set appropriate connection and read timeouts',
'Implement timeout monitoring',
'Test timeout behavior under load'
],
'estimated_effort': 'low',
'business_impact': 'low'
})
return recommendations
except Exception as e:
logging.error(f"Recommendation generation failed: {str(e)}")
return recommendationsExample 2: Distributed Systems Discovery Script
View code
#!/bin/bash
# Distributed Systems Discovery Script
# This script discovers and catalogs distributed system dependencies
set -euo pipefail
# Configuration
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
CONFIG_FILE="${SCRIPT_DIR}/dependency-discovery-config.json"
LOG_FILE="${SCRIPT_DIR}/dependency-discovery.log"
TEMP_DIR=$(mktemp -d)
RESULTS_DIR="${SCRIPT_DIR}/results"
# Create results directory
mkdir -p "$RESULTS_DIR"
# Logging function
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $1" | tee -a "$LOG_FILE"
}
# Error handling
error_exit() {
log "ERROR: $1"
cleanup
exit 1
}
# Cleanup function
cleanup() {
rm -rf "$TEMP_DIR"
}
# Trap for cleanup
trap cleanup EXIT
# Load configuration
load_configuration() {
if [[ ! -f "$CONFIG_FILE" ]]; then
error_exit "Configuration file not found: $CONFIG_FILE"
fi
log "Loading dependency discovery configuration from $CONFIG_FILE"
# Validate JSON configuration
if ! jq empty "$CONFIG_FILE" 2>/dev/null; then
error_exit "Invalid JSON in configuration file"
fi
# Extract configuration values
AWS_REGIONS=$(jq -r '.aws_regions[]?' "$CONFIG_FILE" | tr '\n' ' ')
INCLUDE_RDS=$(jq -r '.include_rds // true' "$CONFIG_FILE")
INCLUDE_DYNAMODB=$(jq -r '.include_dynamodb // true' "$CONFIG_FILE")
INCLUDE_ELASTICACHE=$(jq -r '.include_elasticache // true' "$CONFIG_FILE")
INCLUDE_EXTERNAL_APIS=$(jq -r '.include_external_apis // true' "$CONFIG_FILE")
log "Configuration loaded successfully"
}
# Discover RDS dependencies
discover_rds_dependencies() {
if [[ "$INCLUDE_RDS" == "true" ]]; then
log "Discovering RDS dependencies..."
echo "[]" > "$TEMP_DIR/rds_dependencies.json"
for region in $AWS_REGIONS; do
log "Scanning RDS instances in region: $region"
aws rds describe-db-instances \
--region "$region" \
--query 'DBInstances[?DBInstanceStatus==`available`].[DBInstanceIdentifier,Engine,DBInstanceClass,Endpoint.Address,Endpoint.Port,MultiAZ,TagList]' \
--output json > "$TEMP_DIR/rds_${region}.json"
jq -c '.[]' "$TEMP_DIR/rds_${region}.json" | while read -r instance; do
DB_IDENTIFIER=$(echo "$instance" | jq -r '.[0]')
ENGINE=$(echo "$instance" | jq -r '.[1]')
DB_CLASS=$(echo "$instance" | jq -r '.[2]')
ENDPOINT=$(echo "$instance" | jq -r '.[3]')
PORT=$(echo "$instance" | jq -r '.[4]')
MULTI_AZ=$(echo "$instance" | jq -r '.[5]')
TAGS=$(echo "$instance" | jq -r '.[6]')
# Extract criticality from tags
CRITICALITY=$(echo "$TAGS" | jq -r '.[] | select(.Key=="Criticality") | .Value // "medium"')
OWNER=$(echo "$TAGS" | jq -r '.[] | select(.Key=="Owner") | .Value // "unknown"')
# Create dependency entry
DEPENDENCY_ENTRY=$(cat << EOF
{
"dependency_id": "rds_${DB_IDENTIFIER}",
"name": "$DB_IDENTIFIER",
"dependency_type": "database",
"communication_pattern": "request_response",
"criticality_level": "${CRITICALITY,,}",
"endpoint_url": "$ENDPOINT:$PORT",
"service_owner": "$OWNER",
"region": "$region",
"engine": "$ENGINE",
"instance_class": "$DB_CLASS",
"multi_az": $MULTI_AZ,
"sla_requirements": {
"availability": "99.95%",
"max_latency_ms": 100
},
"failure_modes": [
"connection_timeout",
"connection_pool_exhaustion",
"database_unavailable",
"read_replica_lag"
],
"timeout_config": {
"connection_timeout_ms": 5000,
"query_timeout_ms": 30000
},
"discovered_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF
)
# Add to dependencies list
jq --argjson entry "$DEPENDENCY_ENTRY" '. += [$entry]' "$TEMP_DIR/rds_dependencies.json" > "$TEMP_DIR/rds_dependencies_tmp.json"
mv "$TEMP_DIR/rds_dependencies_tmp.json" "$TEMP_DIR/rds_dependencies.json"
log "Discovered RDS dependency: $DB_IDENTIFIER ($ENGINE)"
done
done
RDS_COUNT=$(jq length "$TEMP_DIR/rds_dependencies.json")
log "Discovered $RDS_COUNT RDS dependencies"
else
echo "[]" > "$TEMP_DIR/rds_dependencies.json"
log "Skipping RDS dependency discovery"
fi
}
# Discover DynamoDB dependencies
discover_dynamodb_dependencies() {
if [[ "$INCLUDE_DYNAMODB" == "true" ]]; then
log "Discovering DynamoDB dependencies..."
echo "[]" > "$TEMP_DIR/dynamodb_dependencies.json"
for region in $AWS_REGIONS; do
log "Scanning DynamoDB tables in region: $region"
aws dynamodb list-tables \
--region "$region" \
--query 'TableNames[]' \
--output text | while read -r table_name; do
if [[ -n "$table_name" ]]; then
# Get table details
aws dynamodb describe-table \
--region "$region" \
--table-name "$table_name" \
--query 'Table.{TableName:TableName,TableStatus:TableStatus,BillingMode:BillingModeSummary.BillingMode,ItemCount:ItemCount,TableSizeBytes:TableSizeBytes}' \
--output json > "$TEMP_DIR/dynamodb_${table_name}.json"
TABLE_STATUS=$(jq -r '.TableStatus' "$TEMP_DIR/dynamodb_${table_name}.json")
BILLING_MODE=$(jq -r '.BillingMode // "PROVISIONED"' "$TEMP_DIR/dynamodb_${table_name}.json")
ITEM_COUNT=$(jq -r '.ItemCount // 0' "$TEMP_DIR/dynamodb_${table_name}.json")
if [[ "$TABLE_STATUS" == "ACTIVE" ]]; then
# Determine criticality based on item count and naming
CRITICALITY="medium"
if [[ $ITEM_COUNT -gt 1000000 ]] || [[ "$table_name" == *"prod"* ]] || [[ "$table_name" == *"critical"* ]]; then
CRITICALITY="high"
fi
DEPENDENCY_ENTRY=$(cat << EOF
{
"dependency_id": "dynamodb_${table_name}",
"name": "$table_name",
"dependency_type": "database",
"communication_pattern": "request_response",
"criticality_level": "$CRITICALITY",
"endpoint_url": "dynamodb.$region.amazonaws.com",
"service_owner": "aws",
"region": "$region",
"billing_mode": "$BILLING_MODE",
"item_count": $ITEM_COUNT,
"sla_requirements": {
"availability": "99.99%",
"max_latency_ms": 10
},
"failure_modes": [
"throttling",
"service_unavailable",
"timeout",
"capacity_exceeded"
],
"timeout_config": {
"connection_timeout_ms": 2000,
"request_timeout_ms": 5000
},
"discovered_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF
)
jq --argjson entry "$DEPENDENCY_ENTRY" '. += [$entry]' "$TEMP_DIR/dynamodb_dependencies.json" > "$TEMP_DIR/dynamodb_dependencies_tmp.json"
mv "$TEMP_DIR/dynamodb_dependencies_tmp.json" "$TEMP_DIR/dynamodb_dependencies.json"
log "Discovered DynamoDB dependency: $table_name ($CRITICALITY criticality)"
fi
fi
done
done
DYNAMODB_COUNT=$(jq length "$TEMP_DIR/dynamodb_dependencies.json")
log "Discovered $DYNAMODB_COUNT DynamoDB dependencies"
else
echo "[]" > "$TEMP_DIR/dynamodb_dependencies.json"
log "Skipping DynamoDB dependency discovery"
fi
}
# Test external API dependencies
test_external_api_dependencies() {
if [[ "$INCLUDE_EXTERNAL_APIS" == "true" ]]; then
log "Testing external API dependencies..."
echo "[]" > "$TEMP_DIR/external_api_dependencies.json"
# Read external APIs from configuration
if jq -e '.external_apis' "$CONFIG_FILE" > /dev/null; then
jq -c '.external_apis[]' "$CONFIG_FILE" | while read -r api; do
API_NAME=$(echo "$api" | jq -r '.name')
ENDPOINT_URL=$(echo "$api" | jq -r '.endpoint_url')
CRITICALITY=$(echo "$api" | jq -r '.criticality // "medium"')
OWNER=$(echo "$api" | jq -r '.owner // "external"')
log "Testing external API: $API_NAME ($ENDPOINT_URL)"
# Test API connectivity
START_TIME=$(date +%s%3N)
if HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" --max-time 10 "$ENDPOINT_URL" 2>/dev/null); then
END_TIME=$(date +%s%3N)
RESPONSE_TIME=$((END_TIME - START_TIME))
if [[ $HTTP_STATUS -lt 400 ]]; then
API_STATUS="healthy"
else
API_STATUS="unhealthy"
fi
else
RESPONSE_TIME=0
HTTP_STATUS=0
API_STATUS="timeout"
fi
DEPENDENCY_ENTRY=$(cat << EOF
{
"dependency_id": "external_api_$(echo "$API_NAME" | tr ' ' '_' | tr '[:upper:]' '[:lower:]')",
"name": "$API_NAME",
"dependency_type": "third_party_service",
"communication_pattern": "request_response",
"criticality_level": "${CRITICALITY,,}",
"endpoint_url": "$ENDPOINT_URL",
"service_owner": "$OWNER",
"current_status": "$API_STATUS",
"last_status_code": $HTTP_STATUS,
"last_response_time_ms": $RESPONSE_TIME,
"sla_requirements": {
"availability": "99.9%",
"max_latency_ms": 5000
},
"failure_modes": [
"api_unavailable",
"rate_limit_exceeded",
"authentication_failure",
"timeout",
"invalid_response"
],
"timeout_config": {
"connection_timeout_ms": 10000,
"read_timeout_ms": 30000
},
"discovered_at": "$(date -u +%Y-%m-%dT%H:%M:%SZ)"
}
EOF
)
jq --argjson entry "$DEPENDENCY_ENTRY" '. += [$entry]' "$TEMP_DIR/external_api_dependencies.json" > "$TEMP_DIR/external_api_dependencies_tmp.json"
mv "$TEMP_DIR/external_api_dependencies_tmp.json" "$TEMP_DIR/external_api_dependencies.json"
log "External API $API_NAME status: $API_STATUS (${RESPONSE_TIME}ms)"
done
fi
EXTERNAL_API_COUNT=$(jq length "$TEMP_DIR/external_api_dependencies.json")
log "Tested $EXTERNAL_API_COUNT external API dependencies"
else
echo "[]" > "$TEMP_DIR/external_api_dependencies.json"
log "Skipping external API dependency testing"
fi
}
# Analyze dependency relationships
analyze_dependency_relationships() {
log "Analyzing dependency relationships..."
# Combine all discovered dependencies
jq -s 'add' "$TEMP_DIR"/*_dependencies.json > "$TEMP_DIR/all_dependencies.json"
TOTAL_DEPENDENCIES=$(jq length "$TEMP_DIR/all_dependencies.json")
log "Total dependencies discovered: $TOTAL_DEPENDENCIES"
# Analyze dependency breakdown
DEPENDENCY_BREAKDOWN=$(jq -r '
group_by(.dependency_type) |
map({
type: .[0].dependency_type,
count: length,
critical_count: map(select(.criticality_level == "critical")) | length,
high_count: map(select(.criticality_level == "high")) | length
})
' "$TEMP_DIR/all_dependencies.json")
# Identify single points of failure
CRITICAL_DEPENDENCIES=$(jq -r '
map(select(.criticality_level == "critical" or .criticality_level == "high")) |
map({
dependency_id: .dependency_id,
name: .name,
type: .dependency_type,
criticality: .criticality_level,
endpoint: .endpoint_url
})
' "$TEMP_DIR/all_dependencies.json")
# Create analysis summary
ANALYSIS_SUMMARY=$(cat << EOF
{
"analysis_timestamp": "$(date -u +%Y-%m-%dT%H:%M:%SZ)",
"total_dependencies": $TOTAL_DEPENDENCIES,
"dependency_breakdown": $DEPENDENCY_BREAKDOWN,
"critical_dependencies": $CRITICAL_DEPENDENCIES,
"recommendations": [
{
"type": "monitoring",
"priority": "high",
"description": "Implement comprehensive monitoring for all critical dependencies"
},
{
"type": "circuit_breakers",
"priority": "high",
"description": "Implement circuit breakers for external service dependencies"
},
{
"type": "redundancy",
"priority": "medium",
"description": "Evaluate redundancy options for single points of failure"
}
]
}
EOF
)
echo "$ANALYSIS_SUMMARY" > "$TEMP_DIR/dependency_analysis.json"
# Copy results to results directory
cp "$TEMP_DIR/dependency_analysis.json" "$RESULTS_DIR/dependency_analysis_$(date +%Y%m%d_%H%M%S).json"
cp "$TEMP_DIR/all_dependencies.json" "$RESULTS_DIR/all_dependencies_$(date +%Y%m%d_%H%M%S).json"
log "Dependency analysis completed"
}
# Generate dependency report
generate_dependency_report() {
log "Generating dependency discovery report..."
REPORT_FILE="$RESULTS_DIR/dependency_discovery_report_$(date +%Y%m%d_%H%M%S).html"
cat << 'EOF' > "$REPORT_FILE"
<!DOCTYPE html>
<html>
<head>
<title>Distributed Systems Dependency Report</title>
<style>
body { font-family: Arial, sans-serif; margin: 20px; }
.header { background-color: #f0f0f0; padding: 20px; border-radius: 5px; }
.dependency { margin: 20px 0; padding: 15px; border-left: 4px solid #007cba; background-color: #f0f8ff; }
.dependency.critical { border-left-color: #dc3545; background-color: #f8d7da; }
.dependency.high { border-left-color: #fd7e14; background-color: #fff3cd; }
.dependency.medium { border-left-color: #28a745; background-color: #d4edda; }
.summary { background-color: #e3f2fd; padding: 15px; border-radius: 5px; margin: 20px 0; }
.failure-modes { background-color: #fff3e0; padding: 10px; margin: 10px 0; border-radius: 3px; }
</style>
</head>
<body>
<div class="header">
<h1>Distributed Systems Dependency Discovery Report</h1>
<p>Generated on: $(date)</p>
<p>Total Dependencies: $(jq length "$TEMP_DIR/all_dependencies.json")</p>
</div>
EOF
# Add summary statistics
cat << EOF >> "$REPORT_FILE"
<div class="summary">
<h2>Dependency Summary</h2>
<ul>
EOF
jq -r '.[] | "\(.type): \(.count) (\(.critical_count) critical, \(.high_count) high)"' "$TEMP_DIR/dependency_analysis.json" | jq -r '.dependency_breakdown[]' | while read -r breakdown; do
echo " <li>$breakdown</li>" >> "$REPORT_FILE"
done
cat << EOF >> "$REPORT_FILE"
</ul>
</div>
<h2>Discovered Dependencies</h2>
EOF
# Add detailed dependencies
jq -c '.[]' "$TEMP_DIR/all_dependencies.json" | while read -r dep; do
DEP_NAME=$(echo "$dep" | jq -r '.name')
DEP_TYPE=$(echo "$dep" | jq -r '.dependency_type')
CRITICALITY=$(echo "$dep" | jq -r '.criticality_level')
ENDPOINT=$(echo "$dep" | jq -r '.endpoint_url')
OWNER=$(echo "$dep" | jq -r '.service_owner')
cat << EOF >> "$REPORT_FILE"
<div class="dependency $CRITICALITY">
<h3>$DEP_NAME</h3>
<p><strong>Type:</strong> $DEP_TYPE</p>
<p><strong>Criticality:</strong> $CRITICALITY</p>
<p><strong>Endpoint:</strong> $ENDPOINT</p>
<p><strong>Owner:</strong> $OWNER</p>
<div class="failure-modes">
<strong>Potential Failure Modes:</strong>
<ul>
EOF
echo "$dep" | jq -r '.failure_modes[]' | while read -r failure_mode; do
echo " <li>$failure_mode</li>" >> "$REPORT_FILE"
done
cat << EOF >> "$REPORT_FILE"
</ul>
</div>
</div>
EOF
done
echo "</body></html>" >> "$REPORT_FILE"
log "Dependency discovery report generated: $REPORT_FILE"
}
# Main execution
main() {
log "Starting distributed systems dependency discovery"
# Check prerequisites
if ! command -v aws &> /dev/null; then
error_exit "AWS CLI not found. Please install AWS CLI."
fi
if ! command -v jq &> /dev/null; then
error_exit "jq not found. Please install jq."
fi
if ! command -v curl &> /dev/null; then
error_exit "curl not found. Please install curl."
fi
# Load configuration
load_configuration
# Execute discovery steps
case "${1:-discover}" in
"discover")
discover_rds_dependencies
discover_dynamodb_dependencies
test_external_api_dependencies
analyze_dependency_relationships
generate_dependency_report
log "Distributed systems dependency discovery completed successfully"
;;
"test")
test_external_api_dependencies
log "External API testing completed"
;;
"analyze")
if [[ -f "$TEMP_DIR/all_dependencies.json" ]]; then
analyze_dependency_relationships
else
error_exit "No dependency data found. Run discovery first."
fi
;;
*)
echo "Usage: $0 {discover|test|analyze}"
echo " discover - Run full dependency discovery (default)"
echo " test - Test external API dependencies only"
echo " analyze - Analyze existing dependency data"
exit 1
;;
esac
}
# Execute main function
main "$@"AWS Services Used
- AWS X-Ray: Distributed tracing to identify service dependencies and communication patterns
- Amazon CloudWatch: Monitoring and metrics collection for dependency health and performance
- AWS Systems Manager: Service discovery and configuration management for internal dependencies
- Amazon API Gateway: API management and monitoring for service-to-service communication
- AWS Lambda: Serverless functions for dependency health checks and monitoring
- Amazon RDS: Relational database services with connection pooling and failover capabilities
- Amazon DynamoDB: NoSQL database with built-in resilience and scaling capabilities
- Amazon ElastiCache: In-memory caching layer for reducing dependency load
- Amazon SQS: Message queuing for asynchronous communication patterns
- Amazon SNS: Publish-subscribe messaging for event-driven architectures
- AWS Step Functions: Workflow orchestration for complex distributed processes
- Amazon EventBridge: Event routing and processing for loosely coupled systems
- AWS App Mesh: Service mesh for microservices communication and observability
- Amazon ECS/EKS: Container orchestration with service discovery and load balancing
- Elastic Load Balancing: Load distribution and health checking for service endpoints
- AWS Config: Configuration tracking and compliance monitoring for dependencies
Benefits
- Comprehensive Visibility: Complete understanding of all distributed system dependencies
- Proactive Risk Management: Early identification of potential failure points and risks
- Informed Architecture Decisions: Data-driven decisions about resilience patterns and strategies
- Improved Incident Response: Better understanding of failure impact and recovery procedures
- Optimized Performance: Identification of bottlenecks and optimization opportunities
- Enhanced Monitoring: Targeted monitoring and alerting for critical dependencies
- Risk Assessment: Quantified analysis of failure modes and business impact
- Compliance Support: Documentation and tracking of system dependencies for audits
- Team Alignment: Shared understanding of system architecture and dependencies
- Continuous Improvement: Regular assessment and optimization of distributed system design
Related Resources
- AWS Well-Architected Reliability Pillar
- Identify Distributed System Dependencies
- AWS X-Ray User Guide
- Amazon CloudWatch User Guide
- Distributed Systems Observability
- AWS Systems Manager User Guide
- Service Discovery on AWS
- AWS App Mesh User Guide
- Microservices Observability
- Distributed Tracing Best Practices
- AWS Config User Guide
- Building Resilient Systems