From Dashboard to Defense: Automating Resilience at
summary
Claims a concrete stack and results: OpenTelemetry first with W3C trace context, tail‑based sampling and structured JSON logs; SLOs and error budgets gate releases; canary/progressive rollouts auto‑rollback on SLO breaches; multi‑burn‑rate alerts feed circuit breakers and tiered automation (tier1 auto throttles, tier2 progressive shifts, tier3 human in loop); RUM and CDN metrics feed anomaly models and a browser‑JS rollback signal; adaptive throttling prevents nearly 30% of major incidents; shadow → suggest → autonomous rollout builds trust and reduces pager load.
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chapters (10)
- 0:00Introduction and Overview
- 0:14The Problem with Traditional Monitoring
- 1:36The New Approach: Observability
- 2:36Implementing Effective Observability
- 5:25Automation and Self-Healing Systems
- 8:16Proven Resilience Patterns
- 9:52Dynamic Rate Limiting and Lessons Learned
- 11:14Building Trust in Automation
- 12:03Connecting Technical Metrics to Business Outcomes
- 12:46Conclusion: From Monitoring to Autonomous Resilience
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