Building and Deploying Microservices on Azure Kubernetes Service
This guide provides a comprehensive walkthrough for building, deploying, and managing a microservices architecture on Azure Kubernetes Service (AKS). Explore best practices, common patterns, and essential tools for a successful microservices implementation.
Project Overview
The sample demonstrates a set of interconnected microservices, each handling a specific business capability. We cover aspects such as service discovery, inter-service communication, data persistence, and monitoring.
Key Technologies Used
Features
- Containerization: All services are packaged as Docker containers.
- Orchestration: Managed deployment and scaling using AKS.
- Service Mesh (Optional): Integration with Istio for advanced traffic management and observability.
- CI/CD Pipeline: Automated build, test, and deployment with Azure DevOps or GitHub Actions.
- Observability: Integrated logging, metrics, and tracing using Prometheus, Grafana, and Jaeger.
- Scalability: Horizontal Pod Autoscaler (HPA) for dynamic scaling.
Getting Started
Follow these steps to set up the sample environment:
Prerequisites
- Azure Subscription
- Azure CLI installed and configured
- kubectl installed
- Docker installed
Deployment Steps
- Create an Azure Kubernetes Service (AKS) cluster.
- Clone the repository:
git clone https://github.com/Azure-Samples/aks-microservices.git - Build and push Docker images to Azure Container Registry (ACR).
- Apply Kubernetes manifests:
kubectl apply -f kubernetes/
For detailed instructions, please refer to the official GitHub repository.
Sample Code Snippet (Example: Service Definition)
apiVersion: apps/v1
kind: Deployment
metadata:
name: product-api-deployment
labels:
app: product-api
spec:
replicas: 3
selector:
matchLabels:
app: product-api
template:
metadata:
labels:
app: product-api
spec:
containers:
- name: product-api
image: your-acr/product-api:latest
ports:
- containerPort: 80
env:
- name: DB_HOST
value: product-db-service