50 Kubernetes Concepts Every Devops Engineer Should Know Free Extra Quality Pdf -

Automatically scales the number of Pods based on CPU/memory usage.

Here are 50 essential Kubernetes concepts that every DevOps engineer should know:

Exposes the Service externally using a cloud provider’s load balancer. Automatically scales the number of Pods based on

Observability & operations 39. kubectl — CLI basics and useful commands. 40. Logging (e.g., EFK/ELK) — collect and centralize logs. 41. Metrics (Prometheus) — gather metrics for alerts and autoscaling. 42. Tracing (Jaeger/OpenTelemetry) — distributed tracing for apps. 43. Health checks: liveness & readiness probes — control lifecycle and traffic. 44. Backups & restore strategies — etcd, PVs, application-level backups. 45. Upgrades & drain strategies — kubectl drain, control-plane upgrades.

Maps a Service to a DNS name instead of a selector, utilizing the internal DNS server to return a CNAME record. kubectl — CLI basics and useful commands

A request for storage by a user. Pods consume PVCs to get access to persistent storage, abstracting the storage implementation details.

This list is divided into 5 logical categories. If you can confidently explain all 50, you are ready for senior-level Kubernetes roles. application-level backups. 45.

Exposes the Service on each Node’s IP at a static port, allowing you to reach the Service from outside the cluster.