'Get started with DevOps Mastery for Beginners to expertise\n1. Infrastructure Provisioning\nTools: Terraform, Linux\n\nTerraform defines and deploys AWS infrastructure as code.\n\nLinux serves as the OS for EC2 instances, containers, and Kubernetes nodes.\n\n2. Containerization\nTool: Docker\n\nPackages applications into portable containers.\n\nUsed for consistent environments across development, testing, and production.\n\n3. Orchestration\nTool: Kubernetes\n\nManages container deployment, scaling, and networking.\n\nAWS EKS provides a managed Kubernetes service.\n\n4. Continuous Integration & Testing\nTools: Maven, JUnit\n\nMaven handles Java project builds and dependencies.\n\nJUnit runs automated unit tests during CI pipelines.\n\n5. Continuous Deployment\nTools: AWS DevOps Tools\n\nCodePipeline automates build, test, and deploy stages.\n\nCodeBuild compiles source code and runs tests.\n\nCodeDeploy pushes updates to EC2, Lambda, or ECS.\n\n6. Monitoring & Observability\nTools: Prometheus, Grafana\n\nPrometheus collects metrics from services and infrastructure.\n\nGrafana visualizes metrics with dashboards for performance insights.\n\n7. Logging & Analysis\nTool: Kibana\n\nWorks with Elasticsearch to visualize logs and search across distributed systems.\n\nIdeal for debugging and tracing application behavior.\n\nWorkflow Summary\nTerraform provisions AWS infrastructure.\n\nDocker containers are built and stored in Amazon ECR.\n\nKubernetes (EKS) deploys containers using manifests or Helm charts.\n\nMaven builds the app; JUnit runs tests.\n\nCodePipeline orchestrates CI/CD.\n\nPrometheus scrapes metrics; Grafana displays them.\n\nLogs are shipped to Elasticsearch and visualized in Kibana.'