The Reliability Pillar.
Build systems that recover gracefully from failure and serve users consistently at scale — with SLOs, error budgets, and resilient architecture.
Reliability is availability under failure.
Cloud workloads fail. The Reliability pillar designs for failure, measures it, and makes recovery a repeatable practice.
Resilience engineering
Redundancy, isolation, graceful degradation, and circuit breakers keep partial failures from becoming outages.
Error budgets
Balance velocity and stability with SLOs and error budgets that tell teams when to ship and when to fix.
Fast recovery
Automated failover, runbooks, incident response, and blameless postmortems reduce mean time to recovery.
What the Reliability pillar covers.
From HA/DR design to observability and incident management.
SLOs & error budgets
User-facing reliability targets, measured and defended with error budgets and burn-rate alerts.
HA/DR architecture
Multi-AZ, multi-region, backups, and disaster-recovery plans tested regularly, not just documented.
Observability
Metrics, logs, traces, and health checks that reveal failure modes before users notice them.
Runbooks & chaos testing
Documented response procedures and game-day exercises that validate recovery in realistic conditions.
Three levels of reliability maturity.
Move from hoping it stays up to engineering systems that fail safely.
Baseline
Backups, basic monitoring, and documented recovery steps exist for production workloads.
Standardize
SLOs, runbooks, automated alerting, and tested failover are part of every service launch.
Optimize
Chaos engineering, predictive detection, and continuous reliability improvements driven by data.
Build reliable systems.
Read the full Reliability pillar documentation or run your first automated review with WOMBATpass.