Open-source container orchestration platform

Open-source container orchestration platform
Originally developed by Google, now maintained by CNCF
Automates deployment, scaling, and management of containerized applications

1. Kubernetes Features, Architecture, Components, and Uses

2. Introduction to Kubernetes Open-source container orchestration platform Originally developed by Google, now maintained by CNCF Automates deployment, scaling, and management of containerized applications

3. Why Kubernetes? Manages large-scale containerized applications Ensures availability and fault tolerance Reduces operational complexity Supports hybrid and multi-cloud deployments

4. Key Features of Kubernetes Automated bin packing Self-healing (restart, reschedule, replicate) Horizontal scaling Service discovery and load balancing Automated rollouts and rollbacks Secret and configuration management

5. Kubernetes Architecture Master Node (Control Plane) and Worker Nodes Master manages cluster state and scheduling Workers run application workloads in Pods API Server is the entry point for all commands

6. Control Plane Components API Server: Handles REST requests Etcd: Key-value store for cluster data Scheduler: Assigns workloads to nodes Controller Manager: Ensures cluster state

7. Node Components Kubelet: Ensures containers run in a pod Kube-proxy: Manages networking for services Container Runtime: Executes containers (Docker, containerd, etc.)

8. Pods in Kubernetes Smallest deployable unit in Kubernetes Encapsulates one or more containers Shares storage and network resources Replicated using ReplicaSets or Deployments

9. Kubernetes Services Abstracts access to pods Provides stable networking endpoints Types: ClusterIP, NodePort, LoadBalancer, ExternalName Supports service discovery and load balancing

10. Kubernetes Deployments Declarative updates to applications Manages ReplicaSets Allows scaling, updates, and rollbacks Ensures desired number of pods are running

11. ConfigMaps and Secrets ConfigMaps: Externalize configuration parameters Secrets: Store sensitive information (passwords, tokens, keys) Keep application code and configuration separate

12. Storage in Kubernetes Persistent Volumes (PV) and Persistent Volume Claims (PVC) Dynamic provisioning of storage Supports local storage, cloud storage, NFS, etc. StatefulSets manage stateful applications

13. Kubernetes Networking Flat network model (all pods communicate with each other) CNI plugins provide networking implementation Ingress manages external HTTP/HTTPS access Network policies define security rules

14. Uses of Kubernetes Microservices-based application management CI/CD pipelines and DevOps automation Hybrid and multi-cloud deployments Scalable web applications and APIs Data processing and machine learning workloads

15. Advantages of Kubernetes Portability across environments Improved scalability and resource efficiency Fault tolerance and resilience Large ecosystem and community support Cloud-native readiness

16. Summary Kubernetes automates container orchestration Architecture: Control Plane + Worker Nodes Core Components: Pods, Services, Deployments, ConfigMaps, Secrets Key Uses: Microservices, CI/CD, scalable workloads Widely adopted as the standard orchestration platform