Software development principles for Microservices

Software development principles for Microservices

5-day intensive course

Course Objectives

This course aims to impart an in-depth understanding of microservices architecture by covering key design principles, associated technologies, and hands-on practices.In the modern software development landscape, the microservices architecture is emerging as a highly scalable and maintainable option. This course will delve into why this paradigm shift is critical and how it aligns with agile and DevOps practices. The course underscores essential software engineering principles such as abstraction, modularity, and encapsulation, demonstrating how they are more readily achievable with a well-designed microservices architecture.

Learning Outcomes

• Grasp the foundational concepts and characteristics of microservices architecture.
• Design, develop, and deploy microservices using core Java.
• Use Domain-Driven Design to define business domains and bounded contexts.
• Implement API contracts and manage API versions.
• Manage data across microservices with event sourcing, CQRS, and other patterns.
• Secure microservices using authentication and authorization mechanisms.
• Utilize Kafka for implementing distributed message queuing.
• Build resilient and observable systems.
• Optimize and scale microservices.
• Understand and apply various microservices testing strategies.

Prerequisites

• Basic knowledge of Java programming.
• Familiarity with software architecture concepts.
• Understanding of web services and APIs.

Outline

Day 1

Module 1: Introduction to Microservices Architecture

• Understanding Monolithic vs. Microservices Architecture: Differentiate between monolithic and microservices architectures and understand their trade-offs.
• Benefits and Challenges of Microservices: Discuss the advantages like scalability and challenges such as data consistency in a microservices setup.
• Key Characteristics of Microservices: Learn about the defining features such as loose coupling, high cohesion, and autonomy.
• Microservices vs. SOA: Explore the differences between Microservices and Service-Oriented Architecture.
• Use Cases and Industry Examples: Analyze real-world examples and case studies to understand the applications of microservices.

Module 2: Principles of Microservices Design

• Single Responsibility Principle (SRP) and Microservices: Discuss how SRP relates to microservices and why it's essential.
• Loose Coupling and High Cohesion: Delve into why these are crucial for the maintainability and scalability of microservices.

Day 2

Module 3: Domain-Driven Design (DDD) for Microservices

• Overview of Domain-Driven Design: Introduction to DDD and how it fits into microservices.
• Bounded Contexts and Subdomains: Learn to identify various bounded contexts and align them with business subdomains.
• Aggregates, Entities, Value Objects: Understand these key DDD concepts and how to implement them in microservices.
• Context Mapping in Microservices: Explore how to create a context map to visualize the relationships between bounded contexts.
• Applying DDD Patterns in Microservices: Practical application of DDD patterns in a microservices environment.

Module 4: API Design and Contracts

• RESTful API Design Principles: Learn the basics of RESTful design and how it applies to microservices.
• API Versioning Strategies: Discuss different strategies for versioning your APIs.
• API Documentation and Specification: Understand the importance of well-documented APIs and how to achieve it using Swagger/OpenAPI.
• Contract-First Development: Explore how to design the API before implementing services.
• Consumer-Driven Contracts (CDC): Understand CDC and how it can improve the reliability of your microservices ecosystem.

Day 3

Module 5: Data Management in Microservices

• Database per Microservice vs. Shared Database: Discuss the pros and cons of both approaches.
• Event Sourcing and CQRS: Learn these two patterns and their relevance in microservices.
• Polyglot Persistence and Data Consistency: Explore how to choose the right database technology for different services and ensure data consistency.

Module 6: Security and Authentication

• Security Challenges in Microservices: Discuss potential security pitfalls and how to mitigate them.
• Microservices Authentication and Authorization: Learn about OAuth 2.0 and JWT for securing microservices.

Day 4

Module 7: Observability and Monitoring

• The Need for Observability: Discuss why observability is crucial for maintaining a healthy microservices ecosystem.
• Distributed Tracing and Request Flow Monitoring: Learn techniques for tracing requests across multiple services.
• Centralized Logging: Discuss the need for centralized logging and how to implement it.

Module 8: Resilience and Fault Tolerance

• Resilience Patterns: Discuss Circuit Breaker, Retry, and Timeout patterns for making services resilient.
• Bulkheads and Isolation: Learn how to isolate services to prevent cascading failures.

Day 5

Module 9: Message Queues and Kafka

• Introduction to Message Queues: Learn the basics of message queues and their need in microservices.
• The Importance of Distributed Pub-Sub Systems: Discuss why distributed pub-sub systems like Kafka are crucial for event-driven microservices.
• Implementing Kafka in Microservices: Walkthrough of setting up Kafka and integrating it with microservices in core Java.

Module 10: Scaling and Performance Optimization

• Horizontal vs. Vertical Scaling: Understand the different scaling strategies.
• Microservices Scalability Strategies: Explore load balancing, rate limiting, and other techniques for scalability.

Module 11: Microservices Testing Strategies

• Testing Pyramid in Microservices: Understand different levels of testing including unit, integration, and end-to-end tests.
• Unit Testing for Microservices: Learn how to write effective unit tests for your microservices in core Java.

Demonstrations and Practices

• All demonstrations and practices will use core Java, with real-world examples focusing on the integration of Kafka for message queuing.