LSREL10-BP02 Validate end-to-end reliability of regulated workloads
Conduct end-to-end reliability validation exercises that test not just recovery but the overall system's ability to maintain adherence and functionality during adverse events. These tests should validate high availability, monitoring alerts, automated failover, and controls in production-like scenarios.
Desired outcome:
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Holistic system reliability validated under real-world conditions.
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Compliance-aligned functions (audit trails, access controls, data integrity) remain intact during adverse events.
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Test outcomes provide documented evidence for regulatory audits.
Common anti-patterns:
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Focusing only on technical recovery while ignoring controls.
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Testing components in isolation but never validating the end-to-end system.
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No evidence of reliability testing available for auditors.
Benefits of establishing this best practice:
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Demonstrates system resilience across full workflows, not just components.
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Strengthens audit readiness with comprehensive reliability evidence.
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Reduces operational risk by validating reliability before real incidents occur.
Level of risk exposed if this best practice is not established: Medium
Implementation guidance
Plan integrated reliability tests across application and data layers.
Simulate production-like workloads during validation.
Validate not only failover and monitoring but also regulatory controls.
Store test artifacts centrally with immutable retention.
Implementation steps
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Use AWS Elastic Load Balancing with Auto Scaling to validate failover.
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Run simulated production workloads using AWS Batch or Amazon ECS.
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Trigger alerts through Amazon CloudWatch Alarms and verify monitoring in AWS Config.
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Archive reliability validation evidence in Amazon Glacier for long-term retention.
