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ADVANCED
Operate platforms in production: Kubernetes + GitOps, reliability practices, observability, and incident-ready operations.
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3
Lessons
6
Estimated Time
385m
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Goal: Understand Kubernetes architecture so debugging becomes logical instead of guessing. The mental model control plane (API server + scheduler + controllers) nodes (kubelet + container runtime) workloads (pods, deploy…
Goal: Release on Kubernetes without outages. What you must set requests/limits (CPU/memory) readiness probe (traffic gate) liveness probe (self heal) rollout strategy (maxUnavailable/maxSurge) Rollout commands Validation…
Goal: Use Git as the source of truth for deployments and let Argo CD keep clusters in sync. Why GitOps works every change is reviewed (PRs) easy rollback (revert commit) drift detection (cluster changed outside Git) Core…
Goal: Keep production safe while enabling teams to ship. Guardrails to implement protected branches (main) required CI checks environment approvals for production resource limits + quotas security policies (basic) Good g…
Goal: Know what to measure and how to use telemetry to make decisions. The three signals metrics: numbers over time (latency, error rate) logs: events (context) traces: request flow across services Start with RED (for se…
Goal: Handle incidents calmly with a repeatable playbook. The incident loop 1. detect (alert / report) 2. triage (scope + severity) 3. mitigate (stop bleeding) 4. recover (restore service) 5. learn (postmortem + fixes) T…