Kubernetes (often called K8s) is an open-source container orchestration platform that helps you automate:
- Deployment
- Scaling
- Load balancing
- Self-healing
- Rolling updates
- of your Docker containers in a cluster of servers (called nodes).
In simple terms:
Kubernetes is like a super smart traffic manager and babysitter for your containers in production.
What Kubernetes Does:
Feature | Example |
---|---|
Runs multiple containers reliably | 5 instances of your API across multiple servers |
Self-heals failed apps | If 1 container crashes, Kubernetes restarts it automatically |
Auto-scales based on traffic | More users? Add more pods (containers). Less users? Scale down. |
Load balances | Distributes traffic evenly across containers |
Deploys new versions | Rolling updates with zero downtime |
Manages secrets & configs | Uses ConfigMaps and Secrets safely |
Works across clouds | Azure, AWS, GCP, or even on-premise servers |
Kubernetes vs Docker
Concept | Docker | Kubernetes |
---|---|---|
Purpose | Package and run one app in a container | Run many containers across many machines |
Scale | Manual | Automatic scaling, healing, and balancing |
Example | docker run myapp |
kubectl apply -f deployment.yaml |
Use case | Single-node dev/test | Production-grade multi-node deployment |
Example Real-World Use:
Letβs say your Web App becomes popular with 200 companies:
- With Kubernetes, you can run 10+ containers of your app
- Spread across 3β5 servers
- Autoscale up when traffic spikes in the morning
- Roll out a new version without downtime
- Restore any crashed instance instantly
Azure & Kubernetes:
On Azure, you can use:
- AKS (Azure Kubernetes Service) = Fully managed Kubernetes by Azure
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Kubernetes is what you use when Docker alone isn't enough. It helps run, scale, and manage your containerized apps in production β reliably, automatically, and at scale.
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