50 Kubernetes Concepts Every Devops Engineer Should Know Free Pdf 'link' -
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: The machines that make up a Kubernetes cluster.
: A deployment strategy that gradually replaces old versions with new ones. You can legally access the content and associated
Collecting metrics (e.g., Prometheus/Grafana) to track cluster health.
Defines how groups of pods are allowed to communicate with each other and other network endpoints. Defines how groups of pods are allowed to
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An abstraction that defines a logical set of Pods and a policy by which to access them (ClusterIP, NodePort, LoadBalancer). If you share with third parties, their policies apply
A distributed key-value database used as the persistent storage backend for Kubernetes. It stores all cluster information, including configuration data, node information, and resource definitions.
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.
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