Site Reliability Engineering (SRE)
SLOs, SLIs, Error Budgets & Chaos Engineering
Site Reliability Engineering applies software engineering practices to infrastructure and operations problems. SRE balances rapid feature velocity with system stability using quantifiable Service Level Objectives (SLOs) and Error Budgets.
Standard Delivery Lifecycle
Sequential stages, responsibilities, and tooling required to implement Site Reliability Engineering (SRE).
SLI / SLO Definition
Defining user-centric availability and latency indicators.
Error Budget Governance
Controlling release velocity based on remaining error budget.
Chaos Engineering & Stress Testing
Proactively injecting pod terminations and network latency to verify self-healing.
Incident Response & Postmortems
Structured blameless postmortem documentation and action item tracking.
Real-World Challenges & Solutions
Practical issues encountered in production, root-cause analyses, and concrete code/configuration fixes.
Engineers only get alerted after 2 hours of degraded service, or get paged at 3 AM for a 1-second blip.
Relying on naive single-threshold alerts (e.g., error rate > 1% for 5m) instead of multi-window multi-burn-rate alerting.
Adopt Google SRE multi-window burn-rate alerts (e.g., alert if 2% of the monthly error budget is burned in 1 hour AND 5 minutes).
Industry Tooling Matrix
Comparison of enterprise industry leaders and battle-tested open-source self-hosted alternatives.
| Domain Category | Industry Leaders | Open Source / Self-Hosted | Evaluation Criteria |
|---|---|---|---|
| SLO Generators & Monitoring | Nobl9Datadog SLOs | SlothPyrraOpenSLO | Prometheus rule generation, multi-window multi-burn-rate alerting, Grafana dashboard creation. |
| Chaos Engineering | Gremlin | Chaos MeshLitmus Chaos | Kubernetes CRD native, safety abort switches, network chaos, CPU/RAM stress injection. |
Recommended Best Practices
Foundational rules for sustainable, resilient, and secure operations.