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DevOps Learning Repository

🚀 Level Up Your Azure Skills — 100% FREE Hands-On Labs! 💻

Perfect for anyone preparing for Microsoft certifications or looking to sharpen their cloud expertise. 🌐


📁 Repository Structure

Each folder contains hands-on examples, configuration files, and brief documentation where applicable.

🔧 ansible

Contains playbooks, inventory files, and examples using Ansible for configuration management and automation.

  • Examples using ansible.builtin.* modules.
  • Playbook best practices.
  • Dynamic inventory setup.

📌 Example:

ansible-playbook playbooks/install_nginx.yml -i inventory/hosts

🐳 docker

Includes Dockerfiles, Docker Compose configurations, and usage examples.

  • Dockerfile samples for various apps.
  • Multi-stage builds.
  • Docker Compose for multi-container apps.

📌 Example:

docker compose -f compose/node-app.yml up -d

☸️ kubernetes

Kubernetes manifests, Helm charts, and kubectl usage examples.

  • Deployment, Service, Ingress YAML files.
  • Helm basics.
  • kustomize usage.

📌 Example:

kubectl apply -f manifests/deployment.yaml

🌍 terraform

Infrastructure as Code using Terraform across different cloud providers.

  • AWS and Azure modules.
  • Remote state management.
  • Terraform Cloud examples.

📌 Example:

terraform init
terraform apply

🚀 azure-devops

Pipelines and tasks for automating CI/CD on Azure DevOps.

  • YAML pipeline examples.
  • Service connections.
  • Multi-stage pipeline configuration.

📌 Example:

trigger:
  branches:
    include:
      - main

🧬 github-actions

Workflows for automating tasks with GitHub Actions.

  • CI/CD pipelines using .github/workflows/.
  • Matrix builds and secrets.
  • Deployment workflows.

📌 Example:

name: Build and Test
on: [push, pull_request]
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

📚 Getting Started

To start using the examples:

  1. Clone the repository:

    git clone https://github.com/yourusername/devops-learning.git
    cd devops-learning
  2. Navigate to the folder you're interested in and follow the instructions in the README (if available).


The best way to learn Azure: Projects, not tutorials.

👉Build a global static website with Azure Blob Storage + Azure CDN + Azure Front Door for multi-region failover

👉 Create a microservices architecture using Azure Functions + Azure API Management + Azure Service Bus for async messaging

👉 Deploy a scalable chatbot with Azure Bot Service + Language Studio + Azure Cognitive Search for intelligent document retrieval

👉 Set up a high-availability database cluster with Azure SQL Database + read replicas + automatic failover groups

👉 Build an AI-powered image processing pipeline with Azure AI Vision + Azure Event Grid + Azure Logic Apps for automated workflows

👉 Create a real-time data analytics platform with Azure Event Hubs + Azure Stream Analytics + Azure Synapse Analytics + Power BI dashboards

👉 Implement end-to-end MLOps with Azure Machine Learning + Azure DevOps + Azure Container Registry for model deployment and monitoring

👉 Design a disaster recovery solution with Azure Site Recovery + Azure Backup + geo-redundant storage across multiple regions

👉 Build a secure multi-tenant SaaS application with Azure Active Directory B2C + Azure Key Vault + Azure Application Gateway with WAF

👉 Create a serverless data lake with Azure Data Factory + Azure Data Lake Storage + Azure Databricks for big data processing

👉 Deploy a container orchestration platform with Azure Kubernetes Service + Azure Container Registry + Helm charts + Azure Monitor for observability

👉 Set up infrastructure as code with Terraform + Azure DevOps pipelines + Azure Resource Manager templates for automated provisioning

These aren’t hello-world projects. These are production-grade systems that teach you how Azure actually works in the real world.

Tutorials teach you syntax. Projects teach you architecture.


🧩 Contributions

Feel free to open issues or pull requests to add new tools, fix examples, or enhance documentation.


🛡 License

This project is licensed under the MIT License.


Happy Automating! 🚀

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