☸️ Kubernetes Unlocked: Orchestrate Containers Like a Pro
🧾 Course Description
Kubernetes (K8s) is the industry-standard container orchestration platform used to deploy, scale, and manage modern applications across clusters of machines. In “Kubernetes Unlocked”, you’ll gain hands-on experience with deploying containerized apps, managing clusters, rolling updates, autoscaling, and service discovery.
This course bridges theory and practice with real-world examples, YAML configs, and CLI workflows. Whether you’re a DevOps engineer, backend developer, or system architect, Kubernetes is essential to operate at scale — and this course gets you there fast.
✅ Key Benefits
- ☸️ Master K8s Core Concepts — Pods, deployments, services, volumes, and namespaces
- 🔁 Automate Scaling & Rollouts — Keep apps reliable under load and during updates
- 🌐 Build Real Clusters — Use Minikube, Kind, or cloud (EKS/GKE) for real deployments
- 🔄 Integrate with CI/CD — Learn how K8s fits into DevOps pipelines
- 📦 Foundation for Helm & Cloud-Native Apps — Prepares you for advanced orchestration
🎯 Pre-requisites
- Basic Docker knowledge (containers, images,
Dockerfile,docker run) - Familiarity with Linux CLI
- Recommended: understanding of YAML, Git, and basic networking
📚 Curriculum Breakdown
🔧 Module 1: Kubernetes Overview
- Why Kubernetes? History and use cases
- Architecture: Master, Node, API Server, Scheduler, etcd
🛠️ Module 2: Setting Up Your Cluster
- Install Minikube / Kind / Play with K8s (cloud playgrounds)
- CLI tools:
kubectl,kubeadm - Cluster configuration and context switching
🧱 Module 3: Deploying Your First App
- Pods and ReplicaSets
- Deployments and rollout strategies
- Labels, selectors, and annotations
🌐 Module 4: Services & Networking
- ClusterIP, NodePort, LoadBalancer
- DNS in Kubernetes
- Ingress controllers and ingress rules (basic)
📦 Module 5: Volumes and ConfigMaps
- PersistentVolumes and PersistentVolumeClaims (PVC)
- ConfigMaps and Secrets for environment management
📈 Module 6: Scaling, Health Checks & Auto-restarts
- Horizontal Pod Autoscaler
- Readiness and liveness probes
- Rolling updates and rollbacks
🧪 Module 7: Project — Deploy a Full App
- Deploy a multi-container web app (frontend + backend + DB)
- Expose via LoadBalancer or Ingress
- Use ConfigMaps, volumes, and scaling
☁️ Module 8: (Optional Bonus) — Cloud Integration
- Intro to Kubernetes in AWS/GCP (EKS, GKE)
- YAML vs Helm basics
⏱️ Estimated Duration
| Daily Study Time | Estimated Duration | Notes |
|---|---|---|
| 2 hours/day | 14–16 days (~2 weeks) | Detailed with hands-on labs |
| 4 hours/day | 7–8 days (1 week) | Practical & project-focused |
| 6 hours/day | 4–5 days (intensive) | Ideal for bootcamp learners |
🎓 Outcome
By the end of Kubernetes Unlocked, you’ll:
- Deploy and manage production-ready apps in Kubernetes
- Understand Pods, Services, Volumes, Ingress, and Scaling
- Be ready to work with cloud-native tools (Helm, Prometheus, ArgoCD)
- Confidently pursue DevOps, SRE, or Platform Engineering roles
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