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Stability denotes a system's ability to deliver expected behavior over time and remain available under load or faulty conditions.
Stability covers architectural, operational and observability measures that protect systems from failures, degradation and load spikes. The focus is on fault tolerance, prevention, fast recovery processes and measurable service objectives. Stable systems reduce downtime and improve predictability for operations and evolution.
Portion of time a service meets required behavior.
Average time to recover after an outage.
Proportion of failing requests in a given period.
Targeted fault injection to discover failure modes and validate recovery strategies.
Introduction of service level objectives to govern reliability and prioritize work.
Platform mechanisms to ensure availability during maintenance and scaling.
Define observable SLIs and set SLO targets
Introduce monitoring, alerting and dashboards
Introduce fault-tolerance layers (redundancy, isolation)
Implement automated recovery and rollback mechanisms
Conduct regular chaos and load tests