robcarmo / azuretest Goto Github PK

Based on the provided PDF, we can divide the deliverables into phases to manage the workflow efficiently. Here's a suggested breakdown:

Phase 1: Planning and Setup
Define User Story and Epic

Create an informal user story to drive the deployment.
Define the epic and list out the tasks necessary for the deployment.

Initial Repository Setup

Set up a Git repository with a structured approach for multiple environments.
Prepare the initial documentation outlining the project scope and plan.

Phase 2: Infrastructure as Code (IaC) with Terraform
Terraform Code Development

Write Terraform code to create necessary resources for the infrastructure.
Ensure the repository structure supports potential multiple environments.
Implement best practices for Terraform code organization and reuse.
Database Configuration

Configure the database for optimal performance.
Set up monitoring for the database.
Implement automated backups and disaster recovery procedures.

Phase 3: Containerization and Orchestration
Dockerfiles Creation

Create Dockerfiles for the sample API and database.
Ensure Dockerfiles follow best practices for security and efficiency.
Helm Charts Development

Write Helm charts to define, install, and manage the Kubernetes resources.
Optionally, use Kustomize for resource configuration if preferred.

Phase 4: Deployment and Testing
Deploy to Azure Kubernetes Service (AKS)

Deploy the infrastructure to Azure Kubernetes Service.
Ensure the API is accessible from the outside while keeping the database internal.
Testing and Validation

Test the deployment to ensure it meets the functional requirements.
Validate the performance and reliability of the infrastructure.
Implement any necessary modifications based on testing feedback.


Phase 5: Optional Enhancements
CI/CD Implementation

Set up a CI/CD pipeline to automate the deployment process.
Implement GitOps practices for better deployment management.
Monitoring and Logging

Set up monitoring and log management for the infrastructure.
Configure alerts for any potential issues in the deployment.

Phase 6: Presentation and Review

Prepare Presentation

Explain the user story, design choices, and technical architecture in a zoom meeting.
Optionally, demonstrate the functionality of the deployment.

Submit GitHub Repository

Share the GitHub repository with the technical interview panel at the requested time.



User Story
As a DevOps Engineer, I want to deploy a sample API with multiple replicas and its associated database using Azure Kubernetes Service (AKS), ensuring best practices in deployment, security, and performance, so that the application is accessible to users while the database remains secure and optimized.

Epic
Epic: Deploy Sample API and Database on AKS
Tasks:
Define Infrastructure with Terraform

Create Terraform code to provision the necessary resources for AKS.
Structure the repository to support multiple environments (development, staging, production).
Implement best practices for Terraform code organization and reuse.
Configure and Optimize the Database

Set up the database within AKS with persistent storage.
Configure the database for optimal performance.
Implement monitoring for database health and performance.
Set up automated backup and disaster recovery procedures.
Create Docker Images

Develop Dockerfiles for the sample API and the database.
Ensure Docker images follow best practices for security and efficiency.
Push the Docker images to a container registry.
Manage Kubernetes Resources with Helm

Develop Helm charts to define, install, and manage the Kubernetes resources.
Optionally use Kustomize for advanced configuration if needed.
Deploy the API and database to AKS using Helm charts.
Ensure Secure and Accessible Deployment

Configure AKS to allow external access to the API while keeping the database internal.
Implement network policies and security best practices.
Implement CI/CD Pipeline

Set up a CI/CD pipeline to automate the deployment process.
Use GitOps practices to manage deployments.
Monitoring, Logging, and Alerting

Implement monitoring and log management for the deployed infrastructure.
Configure alerts for any potential issues with the API or database.
Testing and Validation

Test the deployment to ensure it meets functional and performance requirements.
Validate the API accessibility and database security.
Prepare for Presentation and Code Review

Create a presentation explaining the user story, design choices, and technical architecture.
Organize the codebase for a thorough code review.
Prepare to answer questions regarding coding decisions and technical implementations.
Documentation

Document all steps, configurations, and decisions in the README file.
Include the user story and epic as part of the documentation.
Ensure clear and concise documentation for future reference and review.


Task 2- Directory Structure

.github/
├── workflows/
│   ├── build-and-push-docker.yml
│   └── deploy-to-aks.yml
k8config/
docker/
├── api/
│   ├── Dockerfile
│   ├── app/
│   │   ├── __init__.py
│   │   ├── main.py
│   │   └── requirements.txt
helm/
├── sample-api/
│   ├── Chart.yaml
│   ├── values.yaml
│   ├── templates/
│       ├── deployment.yaml
│       ├── service.yaml
│       ├── netowrkpolicy.yaml
├── postgresql/
│   ├── Chart.yaml
│   ├── values.yaml
│   ├── templates/
│       ├── deployment.yaml
│       ├── service.yaml
terraform/
├── modules/
│   ├── acr/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── aks/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── app-insights
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── database/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── storage
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   ├── networking/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   └── outputs.tf
│   └── log-analytics/
│       ├── main.tf
│       ├── variables.tf
│       └── outputs.tf
├── main.tf
├── variables.tf
└── outputs.tf


Directory Structure Explanation
.github/
workflows/: Contains GitHub Actions workflows for CI/CD.

docker/
api/: Contains the Docker-related files for the API service.

helm/
sample-api/: Helm chart for deploying the sample API.
postgresql/: Helm chart for deploying PostgreSQL.

k8config/ : Contains extra configs for app and k8s.

Terraform Modules Directory Structure
acr/: Configures Azure Container Registry.
aks/: Configures Azure Kubernetes Service.
app-insights/: Configures Azure Application Insights.
database/: Configures PostgreSQL database.
storage/: Configures Azure Storage.
networking/: Configures networking resources (VNet, Subnets, NSGs).
log-analytics/: Configures Azure Log Analytics workspace.

Each module directory contains the necessary Terraform files to configure a specific resource or set of resources, making the infrastructure code modular and reusable.

CI/CD Pipeline Explanation

1. Build and Push Docker Image
This workflow is triggered by pushes to the main branch. It performs the following steps:

Checkout Code: Retrieves the latest code from the repository.
Set Up Docker: Configures Docker Buildx for building multi-platform images.
Login to Azure: Authenticates with Azure using the credentials set up in the GitHub repository secrets.
Login to ACR: Authenticates with Azure Container Registry.
Build and Push Docker Image: Builds the Docker image for the sample API and pushes it to ACR.

2. Deploy to AKS
This workflow is triggered by pushes to the main branch. It performs the following steps:

Checkout Code: Retrieves the latest code from the repository.
Login to Azure: Authenticates with Azure using the credentials set up in the GitHub repository secrets.
Set Up kubectl: Configures kubectl to interact with the AKS cluster.
Get AKS Credentials: Retrieves the AKS cluster credentials to configure kubectl.
Deploy to AKS: Uses Helm to deploy the sample API to the AKS cluster, referencing the Docker images stored in ACR.
Deployment Process
Build and Push Docker Image:

The CI workflow builds the Docker image from the Dockerfile in the docker/api/ directory.
The built image is tagged and pushed to Azure Container Registry.
Deploy to AKS:

The CD workflow retrieves the latest image from ACR.
Helm is used to deploy the application to the AKS cluster, applying configurations specified in the Helm chart located in helm/sample-api/.

Summary

The CI/CD pipeline leverages GitHub Actions to automate the build, push, and deployment processes. Docker images are built and pushed to ACR, and the application is deployed to AKS using Helm charts. This setup ensures a streamlined and automated workflow for deploying updates to the sample API, with all necessary configurations and secrets managed securely within GitHub and Azure.


Deployment and CI/CD Explanation
Deployment Steps
Step 1: Infrastructure Setup with Terraform

Initialize Terraform to set up the working directory for configuration files.
Plan the infrastructure deployment, allowing review of the execution plan.
Apply the Terraform configuration to create the necessary infrastructure, including the AKS cluster, ACR, and other components.
Step 2: Build and Push Docker Image to ACR

Build the Docker image for the sample API from the Dockerfile in the specified directory.
Login to Azure Container Registry to authenticate Docker with ACR.
Push the built Docker image to ACR for storage and later deployment.
Step 3: Deploy Application to AKS with Helm

Package the Helm chart to prepare it for deployment.
Install the Helm chart to deploy the sample API to the AKS cluster.
Upgrade the deployment using Helm if there are updates to the application.
Verify the deployment to ensure everything is running correctly.
CI/CD Pipeline Explanation
Build and Push Docker Image

This workflow builds a Docker image for the sample API and pushes it to ACR. It is triggered by pushes to the main branch and performs the following steps:
Checkout the latest code from the repository.
Set up Docker Buildx for multi-platform image builds.
Authenticate with Azure and ACR.
Build and push the Docker image to ACR.
Deploy to AKS

This workflow deploys the Docker image to AKS using Helm. It is triggered by pushes to the main branch and performs the following steps:
Checkout the latest code from the repository.
Authenticate with Azure.
Configure kubectl to interact with the AKS cluster.
Retrieve AKS cluster credentials to configure kubectl.
Deploy the sample API to the AKS cluster using Helm.
Testing Steps
1. Access the Application

Retrieve the service details to get the external IP address.
Open a web browser and navigate to the external IP address to access the application.
2. Verify Pod Status

Check the status of the pods to ensure they are running correctly.
If any pods are not running correctly, check the logs for troubleshooting.
3. Run Automated Tests

Define and run tests locally to verify application functionality.
Integrate tests into the CI/CD pipeline to automate testing after deployment.
Summary
This deployment process ensures that your sample API is built, pushed, and deployed in a streamlined manner using Terraform, Docker, and Helm. The CI/CD pipeline automates the build and deployment steps, leveraging GitHub Actions for continuous integration and deployment. Testing steps include verifying the application via the public IP, ensuring all pods are running correctly, and integrating automated tests into your CI/CD pipeline. This setup allows for efficient and scalable application deployment to Azure Kubernetes Service.

Note: All secrets required for GitHub and Kubernetes manifests are not included in this documentation due to time restrictions, but they should be considered a critical part of this work.