Orchestrate containers at scale with the industry-standard platform
Imagine an orchestra with 100 musicians. Without a conductor, it would be chaos! Kubernetes (K8s) is like that conductor for containers. It manages hundreds or thousands of containers, ensuring they work together harmoniously - starting, stopping, scaling, and healing them automatically.
Docker is great for running containers, but what happens when you have 100 containers across 10 servers? How do you deploy updates? Handle failures? Scale automatically? Kubernetes automates all of this!
Auto-scaling
Automatically scale based on CPU, memory, or custom metrics
Self-healing
Automatically restart failed containers
Load Balancing
Distribute traffic across containers automatically
Rolling Updates
Deploy new versions with zero downtime
Kubernetes uses a master-worker architecture. The master (control plane) makes decisions, and workers (nodes) run your containers.
Smallest deployable unit. Usually one container, but can be multiple tightly coupled containers. Like a pea pod - containers inside share network and storage.
Manages a set of identical pods. Handles rolling updates, rollbacks, and scaling. Declares desired state, K8s makes it happen!
Stable network endpoint for pods. Pods come and go, but services provide consistent access. Like a phone number that always reaches you, even if you change phones.
Store configuration and sensitive data separately from code. ConfigMaps for non-sensitive config, Secrets for passwords and keys.
# Example Deployment YAML
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 3
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
ports:
- containerPort: 80
kubectl is your command-line tool for Kubernetes. Like a remote control for your cluster!
# Get cluster info
kubectl cluster-info
# List all pods
kubectl get pods
# Create deployment
kubectl apply -f deployment.yaml
# Scale deployment
kubectl scale deployment nginx --replicas=5
# View logs
kubectl logs pod-name
# Execute command in pod
kubectl exec -it pod-name -- /bin/bash
# Delete resources
kubectl delete -f deployment.yaml
Great work! You now understand Kubernetes orchestration. Next, we'll learn CI/CD pipelines to automate building, testing, and deploying your applications. Get ready to ship code faster!