3 hours/week
Use a local cluster and inspect every object you create.
Programming technologie guide
Learn Kubernetes
Learn Kubernetes through prerequisites, core workflows, projects, troubleshooting, and production practices.
Best for
- Running and coordinating containerized services across multiple nodes
- Applications that need declarative rollout, scaling, service discovery, and recovery
- Teams operating container platforms beyond a single host
Prerequisites
- Docker/container fundamentals
- YAML and command-line basics
- HTTP, networking, DNS, ports, and application health concepts
Learning sequence
Recommended Learning Order
- 1
Stage 1
Cluster model, Pods, Deployments, ReplicaSets, and kubectl
- 2
Stage 2
Services, DNS, configuration, Secrets, and namespaces
- 3
Stage 3
Storage, probes, resource requests/limits, and autoscaling
- 4
Stage 4
Rollouts, Jobs, CronJobs, ingress, and policy basics
- 5
Stage 5
Troubleshooting with get/describe/logs/events, security, and observability
Study Timeline
6 hours/week
Deploy a multi-component app and practice rollouts, services, config, and debugging.
10 hours/week
Operate a realistic namespace with storage, probes, policies, monitoring, and failure drills.
Project Progression
Beginner: Deployment + Service for a containerized app
Intermediate: app with ConfigMap/Secret, probes, resources, and rolling update
Portfolio: multi-service deployment with ingress, persistent storage, observability, policy, and rollback drill
Common Mistakes
- Debugging YAML only instead of inspecting live object status and events
- Using liveness probes for dependencies that should not restart the process
- Omitting resource requests and limits
- Treating Secrets as encryption by default
- Changing a Deployment without knowing how to inspect and undo a rollout
Job-Ready Skills
- Workloads and controllers
- Services/networking
- Configuration and Secrets
- Storage
- Probes/resources
- Rollouts and troubleshooting
Frequently Asked Questions
Should I learn Docker before Kubernetes?
Yes. Understand images, containers, ports, environment variables, volumes, logs, and container lifecycle before learning Kubernetes orchestration.