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Designing for failure: Building resilient systems on AWS

Compute Blog



This article explains how to build resilient distributed systems on AWS by learning from a real incident where three Cassandra nodes failed simultaneously due to physical collocation on the same hardware.

  • Use Partition Placement Groups to distribute database replicas across separate physical racks, preventing correlated failures
  • Monitor system status checks with CloudWatch composite alarms to detect hardware failures within minutes
  • Automate instance recovery using Auto Scaling groups with lifecycle hooks for stateful systems like Cassandra
  • Build automated incident response workflows with AWS Systems Manager to preserve logs while enabling fast replacement
  • Invest in observability from day one using CloudWatch agents, synthetics, and X-Ray tracing across all services
  • Test resilience regularly with disaster recovery drills and AWS Fault Injection Service to uncover hidden weaknesses

Resilience is an ongoing practice requiring layered defenses, proactive testing, and blameless post-mortems to continuously improve system reliability.



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