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50 Kubernetes Concepts Every Devops Engineer Should Know |verified| Free Pdf -

50 Kubernetes Concepts Every DevOps Engineer Should Know (Free PDF Inside)

Kubernetes has evolved from a "nice-to-have" to a must-have skill for any DevOps engineer. Whether you are preparing for the CKA (Certified Kubernetes Administrator) exam, troubleshooting a production cluster, or designing a microservices architecture, mastering the core concepts of K8s is non-negotiable.

But with hundreds of moving parts (pods, services, ingress, operators, CRDs…), where do you even start?

To save you hours of scattered Googling, I’ve compiled a definitive list of 50 Kubernetes concepts that every practicing DevOps engineer should know—and packaged them into a free, downloadable PDF. 50 Kubernetes Concepts Every DevOps Engineer Should Know

👉 Download the Free 50 Kubernetes Concepts PDF (Link at the end of the post)

20. Resource Requests & Limits

What You'll Likely Find Instead (and a Review of Those)

If you search for this phrase, you'll encounter several types of content. Here's a review of each: Requests: The guaranteed minimum CPU/RAM

10. Namespaces

Virtual clusters inside a physical cluster. Used to separate environments (dev/staging/prod) or teams.

Storage and Stateful Sets

Phase 2: Workloads & Controllers (11-20)

How does Kubernetes maintain its desired state? Controllers are the brain. message queues). Provides sticky identities

  1. Deployments: The standard for stateless apps. Manages ReplicaSets and allows rolling updates, rollbacks, and scaling.
  2. ReplicaSet: The predecessor to Deployments. Ensures a specified number of pod replicas are running at any time.
  3. StatefulSet: For stateful applications (databases, message queues). Provides sticky identities, persistent storage, and ordered deployment/scaling.
  4. DaemonSet: Runs one copy of a pod on every node (or a subset). Ideal for log collectors (Fluentd) or monitoring agents (Prometheus node exporter).
  5. Job: Runs a containerized task to completion (batch processing). If the pod fails, the Job spins up a new one.
  6. CronJob: The Kubernetes version of a cron table. Runs Jobs on a fixed schedule (backups, report generation).
  7. Horizontal Pod Autoscaler (HPA): Automatically scales the number of pods based on observed CPU, memory, or custom metrics.
  8. Vertical Pod Autoscaler (VPA): Adjusts the resource requests/limits of containers automatically.
  9. Controller Manager: A daemon that embeds the core control loops (Deployment, ReplicaSet, Namespace controllers).
  10. Operator Pattern: A custom controller encoding human operational knowledge (e.g., how to backup/restore a database) into software.

26. Network Policies

The cluster firewall. Defines which pods can talk to which other pods. By default, Kubernetes allows all traffic (every pod can see every pod). NP enforces "Zero Trust" networks.

Monitoring and Logging