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K8s Architecture: Control Plane, Nodes, and Kubelet

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Mastering Kubernetes Architecture

Kubernetes (K8s) is the "Operating System of the Cloud." It manages clusters of servers so you don't have to. To master K8s, you must understand the brain (Control Plane) and the brawn (Worker Nodes).

1. The Control Plane (The Brain)

  • API Server: The only entry point. Everything (including you) talks to the API Server.
  • Etcd: The "Source of Truth." A highly available key-value store that keeps the cluster state.
  • Scheduler: Decides which node a new Pod should live on based on resources.
  • Controller Manager: The "Watchdog." Ensures the current state matches your desired state.

2. Worker Nodes (The Workers)

  • Kubelet: The bridge. It listens to the Control Plane and ensures the containers are running as requested.
  • Kube-Proxy: Handles the internal networking and load balancing between services.
  • Container Runtime: Usually Docker or containerd—the engine that actually runs the containers.

4. Interview Mastery

Q: "What happens if the Control Plane goes down?"

Architect Answer: "The existing containers on the worker nodes will continue to run and serve traffic. However, the cluster becomes 'Dumb.' You cannot deploy new code, you cannot scale, and if a container crashes, it won't be restarted because the 'Manager' (Control Plane) isn't there to detect the failure. K8s is designed to be resilient to Control Plane outages for short periods."

DevOps & Cloud Architect Mastery
Course syllabus
1. Containerization with Docker Docker Internals: Namespaces, Cgroups, and UnionFS Optimizing Dockerfiles: Multi-stage builds and layer caching Docker Compose: Managing multi-container localized environments Security in Containers: Rootless mode and Image scanning
2. Orchestration with Kubernetes (K8s) K8s Architecture: Control Plane, Nodes, and Kubelet Pods, Deployments, and Services: The core building blocks Ingress Controllers & Service Mesh (Istio) integration Helm Charts: Package management for Kubernetes
3. CI/CD Pipelines GitHub Actions: Automating build, test, and deploy Jenkins Architecture: Master-Agent distributed builds Deployment Strategies: Blue-Green vs Canary vs Rolling The 'Shift Left' Philosophy: Integrating security and testing early
4. Infrastructure as Code (IaC) Terraform: Declarative infrastructure on any cloud Terraform State Management: S3 backends and State locks Ansible: Configuration management vs Infrastructure provision Pulumi: IaC using real programming languages (TS, Python)
5. Cloud Platforms Deep Dive (Azure/AWS) Virtual Networks (VPC): Subnets, Gateways, and Peering Identity & Access Management (IAM): The principle of least privilege Cloud Databases: Managed SQL vs Cosmos DB vs DynamoDB Cost Optimization: Savings Plans, Spot Instances, and FinOps
6. Serverless & Scaling AWS Lambda / Azure Functions: Event-driven scaling API Gateways: Exposing serverless functions securely Cold Starts: Understanding and mitigating latency Serverless Orchestration: Step Functions and Logic Apps
7. Security & Reliability (DevSecOps) Secrets Management: Azure Key Vault vs HashiCorp Vault Compliance as Code: Policy engines (OPA) and Audit logs Site Reliability Engineering (SRE): Error Budgets and SLOs Logs & Metrics: Setting up ELK and Prometheus in the cloud
8. FAANG Cloud Architect Interview Case Study: Migrating a Monolith to Cloud-Native Microservices Case Study: Designing a Global, Multi-Region Cloud Infrastructure
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