A complete, production-grade learning roadmap from beginner container fundamentals to high-availability Kubernetes architectures.
For every chapter, when you say “Continue”, I'll teach that chapter with:
You'll learn:
Goal: Understand why Kubernetes exists.
Before Kubernetes, we'll make sure the container concepts are clear.
You'll learn:
Example:
Node.js Application
↓
Dockerfile
↓
Docker Image
↓
ContainerGoal: Be comfortable with containers before Kubernetes.
This is one of the most important chapters.
You'll understand:
Kubernetes Cluster
│
┌──────────────┴──────────────┐
│ │
Control Plane Worker Nodes
│ │
┌─────┼─────┐ ┌────────┴────────┐
│ │ │ │ │
API Scheduler etcd Node Node
Server │ │
Pods PodsYou'll learn:
Goal: Know what happens internally when you run:
kubectl apply -f deployment.yamlLearn the Kubernetes CLI.
kubectl get pods
kubectl get nodes
kubectl describe pod
kubectl logs
kubectl exec
kubectl delete
kubectl apply
kubectl get allYou'll learn:
Deep dive into Pods.
You'll learn:
Example:
apiVersion: v1
kind: Pod
metadata:
name: nginx
spec:
containers:
- name: nginx
image: nginxYou'll learn why we usually don't create Pods directly in production.
Deployment
↓
ReplicaSet
↓
PodsTopics:
Pods are temporary and their IPs can change.
So how does another application communicate with them?
Services.
You'll learn:
Example:
Frontend
↓
Service
↓
Pod
Pod
PodYou'll learn how to separate applications/environments:
Cluster
│
├── development
├── staging
└── productionTopics:
You'll learn how to handle configuration.
Instead of:
DATABASE_URL=...
API_KEY=...inside your image, Kubernetes can inject configuration.
For normal configuration.
For sensitive values.
You'll learn:
Containers are ephemeral.
What happens if a Pod containing database data dies?
You'll learn:
Architecture:
Pod
↓
PVC
↓
PV
↓
StorageA very important chapter for backend developers.
You'll understand:
Pod → Pod
Pod → Service
Pod → Internet
Internet → ServiceTopics:
How does a user access your application?
https://example.com
↓
Ingress
↓
Service
↓
PodsYou'll learn:
You'll learn:
resources:
requests:
cpu: "250m"
memory: "256Mi"
limits:
cpu: "500m"
memory: "512Mi"Understand:
This is essential for production Kubernetes.
How does Kubernetes know whether your application is healthy?
You'll learn:
Example:
Application starts
↓
Startup probe
↓
Ready?
↓
Readiness probe
↓
Receive trafficThis connects directly to your previous question.
You'll learn:
Traffic increases
↓
Metrics increase
↓
HPA
↓
More PodsTopics:
We'll build an actual autoscaling example.
What if Kubernetes wants 20 Pods but the cluster only has enough resources for 10?
HPA
↓
More Pods required
↓
Insufficient node capacity
↓
Cluster Autoscaler
↓
New Node
↓
Pods scheduledYou'll understand Pod scaling vs Node scaling.
Learn how Kubernetes decides:
"Which node should this Pod run on?"
Topics:
For tasks that shouldn't run continuously.
Run migration
↓
FinishEvery night at 2 AM
↓
Run backupYou'll build practical examples.
You'll learn:
Example:
User
↓
Authentication
↓
Authorization / RBAC
↓
Kubernetes APIYou'll learn how to control:
Frontend → Backend ✅
Backend → Database ✅
Frontend → Database ❌Topics:
You'll learn:
kubectl logs
kubectl logs -f
kubectl logs --previousAnd understand:
We'll introduce:
Architecture:
Kubernetes
↓
Prometheus
↓
Grafana
↓
DashboardThis will be a hands-on debugging chapter.
We'll intentionally create failures:
CrashLoopBackOff
ImagePullBackOff
Pending
OOMKilled
CreateContainerConfigError
Service not reachable
Readiness probe failureAnd learn how to diagnose them.
The core workflow:
kubectl get
kubectl describe
kubectl logs
kubectl get eventsYou'll learn production deployment strategies.
Version 1
↓
Version 2
↓
Gradually replace PodsAnd:
kubectl rollout status
kubectl rollout history
kubectl rollout undoInstead of maintaining hundreds of YAML files:
deployment.yaml
service.yaml
configmap.yaml
ingress.yaml
...we can package Kubernetes applications using Helm.
You'll learn:
You'll learn how to manage different environments:
base/
↓
development
staging
productionWithout duplicating all your YAML.
We'll build your first real cluster using one of:
You'll deploy an actual application.
Introduction to:
Amazon EKS
You'll learn:
AWS
↓
EKS Cluster
↓
Nodes
↓
PodsAnd understand the difference between:
High-level comparison:
AWS → EKS
GCP → GKE
Azure → AKSYou'll understand the common Kubernetes concepts across clouds.
We'll build:
Git Push
↓
GitHub Actions
↓
Build Docker Image
↓
Push Registry
↓
Deploy Kubernetes
↓
Rolling UpdateIntroduction to:
Architecture:
Git Repository
↓
ArgoCD
↓
Kubernetes
↓
ApplicationWe'll build a complete application:
Internet
↓
Load Balancer
↓
Ingress
↓
┌───────────────┐
│ Frontend │
│ Next.js │
└───────┬───────┘
↓
Backend Service
↓
Node.js API
↙ ↘
Redis PostgreSQLWe'll add:
By the end, your understanding should progress like this:
BEGINNER
↓
What is Kubernetes?
↓
Docker
↓
Pods
↓
Deployments
↓
Services
↓
Networking
↓
Ingress
↓
ConfigMaps / Secrets
↓
Storage
↓
Health Checks
↓
HPA
↓
Scheduling
↓
Security
↓
Monitoring
↓
Troubleshooting
↓
Helm
↓
CI/CD
↓
Cloud Kubernetes
↓
Production Architecture
↓
🚀
KUBERNETES DEVELOPERSince you already work with Node.js, Next.js, Python, Docker and cloud technologies, we can move fairly quickly through basic programming/container concepts and spend more time on Kubernetes architecture, networking, scaling, troubleshooting and production deployment.
Start with Chapter 1: “What is Kubernetes and why do we need it?”
When you say “Continue”, I'll begin Chapter 1 in full detail, from absolute beginner level.
Mark it as complete to track your mastery.