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PERF06

PERF06-BP03 - Automate compatibility and regression testing

Implementation Guidance

“Automate compatibility and regression testing” should be implemented through codified workflows, not ad hoc manual steps. Prioritize idempotent automation, failure handling, and rollback controls so teams can operate safely at scale.

For the question “How do you evolve your workload to take advantage of new releases?”, define measurable outcomes, assign owners, and review execution regularly. Integrate this practice into delivery and operations processes so improvements persist as workloads and requirements evolve.

Key Steps

  1. Design automation boundaries:

    • Identify which parts of “Automate compatibility and regression testing” should be fully automated
    • Define pre-checks, post-checks, and approval controls
    • Specify rollback behavior and exception handling requirements
  2. Implement and integrate workflows:

    • Codify automation in pipelines, runbooks, or event-driven handlers
    • Add telemetry, alerting, and audit trails for each automated action
    • Validate idempotency and safe re-execution under failure conditions
  3. Harden and continuously improve:

    • Run failure simulations to validate automation behavior
    • Track error rates, execution time, and manual fallback frequency
    • Refine logic and controls based on incident and operations feedback

Risk / Impact

Level of risk if not implemented: High

Impact: If this best practice is missing, teams are more likely to experience preventable incidents, delayed recovery, and inconsistent change outcomes. Control gaps and weak visibility can increase customer impact during high-pressure events.

Benefits of implementation:

  • Reduced operational risk through repeatable controls
  • Faster detection and response during incidents
  • Stronger auditability and decision traceability

AWS Services to Consider

AWS Well-Architected Tool

Captures architectural risks and improvement items so teams can track best-practice adoption over time.

AWS CodePipeline

Automates release workflows with quality gates and controlled promotions.

AWS Compute Optimizer

Recommends rightsizing and configuration adjustments based on observed usage patterns.

Amazon CloudWatch

Collects metrics, logs, and alarms that support operational insight and performance management.