Learning path
Kubernetes Production Reliability Roadmap
A practical path for operating Kubernetes workloads with resource discipline, deployment safety, observability, backup thinking, and incident response.
Outcomes
- Understand how scheduling, requests, limits, probes, disruption budgets, storage, and node pressure affect workload reliability.
- Establish deployment and rollback practices that fit GitOps and Helm-based environments.
- Build observability and runbooks that connect Kubernetes events to service symptoms.
Milestones
1) Capacity, scheduling, and workload safety
- Node pool boundaries and workload placement
- Requests, limits, QoS classes, and eviction behavior
- Probes, disruption budgets, priority classes, and graceful termination
2) GitOps release reliability
- Helm values governance and rendered manifest review
- Argo CD sync behavior, drift, and rollback paths
- Progressive delivery checks tied to metrics and logs
3) Operational resilience
- Backup and restore assumptions for stateful services
- Incident response workflow and operator communication
- Post-incident backlog items that reduce repeat failure modes