This repository contains my hands-on practice and implementation of Kuberntes Container Orchestration.
Kubernetes (often abbreviated as K8s) is an open-source platform designed to automate the deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery.
- Automated Rollouts and Rollbacks: Easily update or revert application versions.
- Scaling: Automatically scale applications up or down based on demand.
- Self-Healing: Restarts failed containers, replaces them, and reschedules them when nodes die.
- Load Balancing: Distributes network traffic to ensure stable deployment.
- Storage Orchestration: Automatically mounts storage systems (e.g., local, cloud).
- Secret and Configuration Management: Securely manage sensitive information.
- Portability: Run applications consistently across on-premises, hybrid, and multi-cloud environments.
- Efficiency: Optimize resource usage and reduce infrastructure costs.
- Resilience: Ensure high availability and fault tolerance for applications.
- Extensibility: Integrate with a wide range of tools and services.
- Pods: The smallest deployable units in Kubernetes, containing one or more containers.
- Nodes: Physical or virtual machines that run your applications.
- Cluster: A set of nodes that run containerized applications managed by Kubernetes.
- Deployments: Manage the desired state of your applications (e.g., scaling, updates).
- Services: Expose your application to the network.
- Namespaces: Organize and isolate resources within a cluster.
To start using Kubernetes:
- Set up a Kubernetes cluster (e.g., using Minikube, Kind, or a cloud provider like GKE, EKS, or AKS).
- Install kubectl, the command-line tool for Kubernetes.
- Deploy your first application using a YAML file:
apiVersion: apps/v1 kind: Deployment metadata: name: my-app spec: replicas: 3 template: spec: containers: - name: my-container image: nginx:latest