Learn DevOps: Docker, Kubernetes, Terraform and Azure DevOps

Explore how Docker images live in a public registry like Docker Hub, organized into repositories and tags, and how containers run with port publishing on a bridge network.

Explore docker images and containers locally, view running and exited containers with docker container ls and -a, then stop containers by partial IDs to manage ports.

Explore why Docker dominates: standardized packaging with Docker images, multi-platform support, and lightweight, isolated containers that run anywhere—from local machines to cloud platforms with Kubernetes.

Build and push a Node.js docker image by using npm to install dependencies from package.json, run index.js on port 5000, and push the v2 tag to Docker Hub.

Learn how to connect microservices with Docker custom networking by creating a currency network and running currency exchange and currency conversion on it, enabling container-name communication.

Create a Google Cloud account and start your free trial with $300 credit by providing personal details, verifying your mobile number, and entering card and tax information.

Explore the running Kubernetes cluster, learn fun facts like K8s abbreviation and helmsman logo, and understand how Kubernetes reserves CPU and memory across three nodes.

Learn how replica sets maintain a desired number of pods in Kubernetes, and how deployments scale to multiple pods using practical hello-world REST API examples.

Explore master node components, including etcd, kube-apiserver, scheduler, and controller manager, and how they store the desired state while worker nodes run pods with kubelet, kube-proxy, and Docker container runtime.

learn to explore a Kubernetes cluster using kubectl to list pods and services across namespaces, filter by labels, sort by type or name, and view cluster info and top metrics.

Learn how Kubernetes ingress routes requests to currency exchange and currency conversion through a single load balancer with frontend and backend mappings.

Learn how to delete a Kubernetes cluster to save free credits and reduce cloud billing, including selecting the cluster in Kubernetes Engine and confirming deletion.

Explore using the Terraform console to query the current state, view S3 bucket attributes including versioning, and define outputs with terraform apply and refresh to see results.

Understand how EC2 creates virtual servers in the AWS console, including regions, VPC, and subnets. Explore AMI choices, instance types, and security groups, and preview automating EC2 creation with Terraform.

Learn to provision an EC2 http server with Terraform, inspect state and outputs, and use a remote-exec provisioner to install httpd and serve a custom index.html, highlighting immutability and re-provisioning.

Visualize Terraform resource graph using dot format to see dependencies from default VPC to EC2; refactor into variables and data providers, then destroy to prepare for a load balancer.

Discover how Terraform workspaces isolate state to create multiple environments, switch between prod-ENV and default, and embed workspace names into resource naming for environment-specific deployments.

Implement continuous integration, delivery, and deployment pipelines to get quick feedback from unit tests, integration tests, code quality checks, and packaging.

Learn how Azure Pipelines organizes steps into jobs and tasks within stages, assigns each job to separate hosted agents, and executes jobs in parallel or in sequence.

Explore managing Azure DevOps pipelines with stages and dependencies, disable unintended runs, and use variables at the pipeline, stage, and job levels to make deployments across Dev and QA efficient.

Configure Azure pipelines to run the same build across multiple agents using a strategy matrix for Ubuntu latest and Mac OS-latest, creating parallel jobs and validating results.

Learn how Azure DevOps deployment jobs work, including stages, environments, and approvals. Build, dev deploy, and QA deploy pipelines demonstrate run-once deployments with environment approvals.

Install Azure CLI to interact with your Azure account from the command line; follow OS-specific installers (Windows, macOS with Homebrew, Linux via apt/yum/zypper or a script) and verify az --version.

Structure pipelines by separating infrastructure and deployment: provision a Kubernetes cluster with Terraform in one pipeline and deploy Docker images in another, using one GitHub repository per microservice.

Edit the code to enable v2, build and push the new docker image. Deploy with kubectl, retrieve the external IP on port 8000, and verify a healthy response.

Configure a v3 Docker image build and push in Azure DevOps, update Kubernetes deployment.yaml, and apply the deployment while verifying the currency exchange service is running.