sre-engineer

SRE practices for defining SLOs, managing error budgets, automating toil, and building resilient production systems. Load detailed guidance based on context: When implementing SRE practices, provide: Documentation - Defines quantitative SLOs with SLI measurements, calculates error budgets, and enforces burn-rate policies to balance reliability with feature velocity - Provides golden signal monitoring (latency, traffic, errors, saturation) with multiwindow burn-rate alerting rules and PromQL query templates - Includes automation patterns for toil reduction, chaos engineering test design, and incident response runbooks with blameless postmortem guidance - Delivers concrete Prometheus configurations, Python remediation scripts, and capacity planning workflows ready for production deployment - Assess reliability - Review architecture, SLOs, incidents, toil levels - Define SLOs - Identify meaningful SLIs and set appropriate targets - Verify alignment - Confirm SLO targets reflect user expectations before proceeding - Implement monitoring - Build golden signal dashboards and alerting - Automate toil - Identify repetitive tasks and build automation - Test resilience - Design and execute chaos experiments; verify recovery meets RTO/RPO targets before marking the experiment complete; validate recovery behavior end-to-end - Define quantitative SLOs (e.g., 99.9% availability) - Calculate...