This content originally appeared on DEV Community and was authored by Bhaskar Sharma
Hello DevOps community! 
For the past 20 days, I’ve been consistently sharing my DevOps learning journey.
Truth be told — engagement has been slow on platforms like Dev.to & Medium. But that’s okay. Because every post keeps me accountable, helps me learn, and documents my progress. 
Yesterday, I explored Docker, the magic that makes applications portable.
Today, I’m taking the next leap → Kubernetes (K8s), the platform that runs containers reliably at scale in production.
Why Kubernetes Matters
Imagine managing hundreds of containers.
Who starts them? Who restarts them if they fail? Who balances traffic? 
That’s where Kubernetes steps in:
Automates deployment, scaling & healing
Distributes traffic with load balancing
Manages storage (Volumes & PVCs)
Enables rolling updates & zero downtime
Core Concepts (Beginner-Friendly)
Pod → Smallest deployable unit (wraps one or more containers)
ReplicaSet → Ensures your app always has the desired number of Pods
Deployment → Manages ReplicaSets & rolling updates
Service → Exposes your app inside/outside the cluster
ConfigMap & Secret → Store configs & sensitive data securely
Persistent Volume (PV) → Storage that survives Pod restarts
Example: Simple Deployment YAML
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp-deployment
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
– name: myapp
image: myapp:v1
ports:
– containerPort: 3000
Apply it:
kubectl apply -f deployment.yaml
DevOps Use Cases
Run microservices across clusters
Auto-scale workloads with HPA (Horizontal Pod Autoscaler)
Self-healing apps (Pods restart automatically)
Manage complex production workloads with ease
Pro Tips for Beginners
Start with Minikube or Kind for local practice
Always use Namespaces to organize resources
Debug with kubectl describe & kubectl logs
Use YAML linting tools to avoid silly mistakes
Hands-on Mini-Lab (Try this!)
1⃣ Install Minikube
2⃣ Create the above Deployment
3⃣ Expose it with a Service (kubectl expose)
4⃣ Scale Pods up/down and watch the magic 
Key Takeaway
Docker gave us containers. Kubernetes gives us orchestration.
If Docker is the car, Kubernetes is the traffic system 
that ensures everything runs smoothly at scale.
Over to You
I’ve been posting daily for 21 days — but I’d love to hear from you 
What was your first “aha moment” when learning Kubernetes?
Do you prefer hands-on labs or deep-dive theory posts?
Your feedback will help me improve 
#Kubernetes #Docker #DevOps #SRE #LearningInPublic
This content originally appeared on DEV Community and was authored by Bhaskar Sharma