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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