Introduction

Microservices architecture enables organizations to build scalable, resilient, and high-performing applications by breaking monolithic systems into smaller, independent services. This training explores best practices for designing, deploying, and managing microservices on the Azure Cloud, leveraging services like Azure Kubernetes Service (AKS), Azure Functions, Azure API Management, and Azure DevOps for continuous integration and deployment.

Prerequisites

• Basic understanding of cloud computing and Azure services
• Familiarity with containerization concepts (Docker, Kubernetes)
• Knowledge of RESTful APIs and service-oriented architectures
• Experience with programming languages like Java, .NET, or Python is helpful

Table of Contents

1. Introduction to Microservices and Azure Cloud
   1.1 Overview of Microservices Architecture
   1.2 Benefits and Challenges of Microservices
   1.3 Why Azure for Microservices?
   1.4 Core Azure Services for Microservices
2. Designing Microservices on Azure
   2.1 Principles of Scalable Microservices Architecture
   2.2 Choosing the Right Compute Services: AKS, Azure Functions, App Services
   2.3 Managing Microservices Communication (REST, gRPC, Event-Driven)
   2.4 API Gateway and Service Mesh Strategies
3. Containerization and Orchestration with AKS
   3.1 Introduction to Kubernetes and Azure Kubernetes Service (AKS)
   3.2 Deploying and Scaling Microservices on AKS
   3.3 Service Discovery, Load Balancing, and Traffic Routing
   3.4 Monitoring and Logging for Kubernetes Workloads
4. Serverless Microservices with Azure Functions
   4.1 Understanding Serverless Architecture in Microservices
   4.2 Building Event-Driven Microservices with Azure Functions(Ref: Microsoft Azure AI Fundamentals: Introduction to AI and Machine Learning)
   4.3 Integrating Serverless with Containers and Databases
   4.4 Cost and Performance Optimization
5. State Management in Microservices
   5.1 Choosing Between Stateful and Stateless Microservices
   5.2 Using Azure Cosmos DB for Distributed Data Management
   5.3 Implementing Caching Strategies with Azure Redis Cache
   5.4 Managing Transactions and Consistency in Microservices
6. Securing Microservices on Azure
   6.1 Authentication and Authorization with Azure AD
   6.2 Securing APIs with Azure API Management and OAuth2
   6.3 Implementing Role-Based Access Control (RBAC)
   6.4 Protecting Data in Transit and at Rest
7. CI/CD for Microservices on Azure
   7.1 Automating Deployments with Azure DevOps and GitHub Actions
   7.2 Blue-Green and Canary Deployments for Microservices
   7.3 Versioning and Rollback Strategies
   7.4 Infrastructure as Code (IaC) with Terraform and Bicep
8. Monitoring and Observability
   8.1 Logging and Monitoring with Azure Monitor and Log Analytics
   8.2 Distributed Tracing with Application Insights
   8.3 Implementing Metrics and Alerts for Proactive Monitoring
   8.4 Debugging and Troubleshooting Microservices
9. Scaling and Performance Optimization
   9.1 Autoscaling Microservices on AKS and Azure Functions
   9.2 Load Balancing Strategies for High Availability
   9.3 Optimizing Database Performance for Microservices
   9.4 Cost Management and Optimization on Azure
10. Real-World Use Cases and Best Practices
    10.1 Case Studies of Microservices Implementation on Azure
    10.2 Common Pitfalls and How to Avoid Them
    10.3 Future Trends in Microservices and Cloud Computing
    10.4 Next Steps and Further Learning Resources

Conclusion

By the end of this training, participants will gain hands-on experience in designing, deploying, and managing microservices on the Azure Cloud. They will understand best practices for containerization, security, CI/CD, monitoring, and scaling, enabling them to build resilient and high-performing applications. This course equips developers and architects with the skills needed to successfully implement microservices solutions in enterprise environments.

Reference