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Kubernetes Fundamentals

Understanding Pods, Deployments, Services, and Ingress

⏱️ 12 min left • Step 3 of 5
Your Learning Path
1
Learn
Master concepts
2
Lab
Hands-on sandbox
3
Flow
Visualize workflow
4
Project
Build & deploy
Your Engineering Studios
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AI & GenAI
28 Topics • RAG & Agents
72%
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DevOps & CI/CD
35 Topics • Pipelines
60%
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Kubernetes
24 Topics • Microservices
40%
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Cloud (AWS/Azure)
30 Topics • Multi-Cloud
50%
2 • Structured Lesson Clear learning objectives, visual diagrams, examples, and quizzes
Kubernetes > Introduction > What is Kubernetes?
⏱️ 12 min

What is Kubernetes?

Kubernetes is an open-source container orchestration platform designed to automate deploying, scaling, and managing containerized applications across cloud clusters.

Learning Objectives
  • ✓ Understand Kubernetes control plane and worker node responsibilities.
  • ✓ Learn how Deployments maintain desired state through declarative manifests.
  • ✓ Know when to use ClusterIP, NodePort, and LoadBalancer Services.
Key Production Benefits
✅ Automated Deployment: Seamless rolling updates with zero downtime.
✅ Self-Healing: Restarts crashed containers and reschedules failed nodes.
✅ Auto-Scaling: Dynamic horizontal pod autoscaling based on CPU/RAM/metrics.
✅ Portability: Runs identically on AWS, Azure, GCP, or bare-metal on-premise.
3 • Interactive Engineering Flow Connected DAG nodes, real/simulated telemetry, inputs, and hints

CI/CD Pipeline Flow Simulated DAG Drill

Visualize how code changes flow from developer commit to production

👨‍💻 Developer Committed
→
🐙 Git Repo Pushed
→
⚙️ Build Compiled
→
🧪 Test Running
→
🛡️ Security Pending
→
🚀 Deploy Pending
→
📊 Monitor Pending
Node Details: Test Stage (Unit & Integration) Duration: 2m 34s

Runs parallel unit tests, integration test suite, and generates JUnit XML coverage reports.

Live Pipeline Status Simulated State Machine
Success Rate 95.2%
Avg Duration 2m 18s
Last Run 2 mins ago
Current Status Running
Next Step Security Scan
4 • Practical Hands-on Lab Step-by-step instructions, code editor, live terminal, and validation
Enterprise Lab Project Virtual Sandbox

Lab: Deploy a Web Application on Kubernetes

Deploy a containerized web application using Kubernetes Deployments and Services

⏱️ ~30 min • Intermediate

2. Deploy Application

Deploy the containerized web application using a Kubernetes Deployment manifest with 3 replicas and rolling update strategy.

Expected Output
$ kubectl get deployments
NAME      READY   UP-TO-DATE   AVAILABLE   AGE
web-app   3/3     3            3           18s
💡 Need Help? Check Hints & Solution
Running Simulated Kind Cluster 29:15
Cluster: kind-k8s
Nodes: 2 nodes (v1.28)
Context: kind-kind
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