SRE and Operational Reliability

Introductory chapter: reliability, fault tolerance, releases, observability and incident management.

Practical walkthrough of SLI/SLO/SLA: why they matter, how to read burn rate, and how to calculate budget with interactive calculators.

How to structure incident response as a discipline: on-call model, escalation policy, blameless postmortems and maturity metrics.

How Google manages production: SLO, error budgets, toil, on-call, postmortems and four golden signals.

Practical continuation of the SRE Book: SLO in practice, alerting, incident response and case studies from Google.

Resilience patterns from Michael Nygard: timeouts, circuit breakers, bulkheads and protection against cascade failures.

A practical introduction to CI/CD from Christie Wilson: pipelines, version control, secure deployment and DORA metrics.

Practical design of an observability platform: logs, metrics, distributed tracing, SLO-based alerting, runbooks and feedback loop for production.

Practical distributed tracing in microservices: tracing architecture, Jaeger and Tempo, write/read path, sampling strategy, and operational trade-offs.

Systematic approach to performance: latency optimization, profiling, capacity planning and performance budget in production.

A practical guide to chaos engineering: how to design safe experiments and when to choose Gremlin, Litmus, and Chaos Monkey.

Mobile SRE from Google: staged rollout, feature flags, client telemetry and impact on the backend.

Analysis of Ivan Yurchenko’s report on platformization of incident management, SRE AI assistant, LogAnalyzer and response quality metrics.

History of Prometheus: SoundCloud, PromQL and the path to a standard for cloud-native monitoring.

Unlocking The Kernel - how Linux kernel extension technology changed networking, security and observability.

Interview with Kelsey Hightower about Platform Engineering, the evolution of DevOps, the maturity of Kubernetes, the role of API contracts, AI guardrails and the importance of soft skills.

Blameless analysis of a two-week incident in the T-Bank data platform: loss of metadata, recovery via Kafka/contracts and practical conclusions on SRE for data.