Kubernetes Roadmap
The Gold Standard for Modern Container Orchestration
Your Journey at a Glance
💡 How to use this roadmap
Work through each phase in order. Click on a skill to expand it — you'll find a description and curated resources. Don't rush; understanding beats speed. Complete one phase before moving to the next.
Foundation & The Control Plane
Understand the 'brain' of the cluster. Learn how API Server, Etcd, Scheduler, and Controller Manager work together.
Deployments & Configuration
Managing state and updates. Learn how to rollout changes without dropping a single request.
Services & Networking
How pods talk to each other and the world. Master Service Discovery and Ingress.
Storage & Stateful Apps
Keeping data alive. Master Persistent Volumes and the difference between stateless and stateful workloads.
Scheduling & Autoscaling
Maximizing efficiency. Learn how the scheduler makes decisions and how to scale based on demand.
Advanced Ops & Ecosystem
The professional toolchain. Master Helm, RBAC, and Security Policies.
Roadmap Complete!
You now have the foundations of a production-ready Java engineer. Apply by building real projects.
Deploy a Multi-Tier Production Grade Application
Architect a resilient system on Kubernetes including a load-balanced frontend, a stateful database with persistence, and an auto-scaling worker group.
What you'll build
- Custom Helm Chart managing the entire stack with environment-specific values
- Zero-downtime rolling updates verified by Liveness and Readiness probes
- Isolated network namespaces using NetworkPolicies to restrict DB access
- Stateful PostgreSQL cluster using PVCs and StorageClasses
- HPA-driven scaling for processing workers based on simulated CPU load
- Istio Ingress Gateway for TLS termination and traffic routing
Tech stack
Key highlights
- ✦Demonstrates mastery of production-ready orchestration patterns
- ✦Focuses on security, observability, and state management
- ✦Covers the industry-standard Helm-based deployment workflow
Real-World Scenarios
Practical case studies where these skills are applied.
01The Infinite Restart: CrashLoopBackOff
The Problem
A newly deployed service was stuck in a restart loop. The developer could not see logs because the container crashed too fast.
The Solution
Used `kubectl describe pod` to find OOMKilled and Exit Code 137. Adjusted memory limits and used `kubectl logs --previous` to see the 'secret' error message in the pre-crash logs.
Outcome
02Zebra Clusters: Inconsistent Config
The Problem
Environment variables were manually updated in some pods but not others, leading to intermittent 'Database Connection' errors.
The Solution
Migrated all static configuration to ConfigMaps and Secrets. Implemented a rolling restart trigger by adding a timestamp annotation to the Deployment template.
Outcome
03The Thundering Herd: HPA Misconfiguration
The Problem
During a traffic spike, the Horizontal Pod Autoscaler added 20 new pods simultaneously, which overwhelmed the database with 2,000 new connections at once.
The Solution
Tuned the HPA `scaleUp` behavior with a stabilization window. Implemented a 'readiness probe' that checks database connection health before accepting traffic.
Outcome