Introduction

In the era of cloud computing and agile development, Microservices Architecture has emerged as a powerful way to design, develop, and deploy complex, scalable, and resilient applications. By breaking down monolithic applications into smaller, independently deployable services, organizations can achieve greater flexibility, faster time-to-market, and better scalability. This approach promotes decentralization, enabling development teams to work independently on different services, each focusing on a specific business capability.

This 5-day Microservices Architecture and Development training course provides a comprehensive guide to understanding, designing, and building microservices-based applications. The course covers the principles of microservices architecture, tools, best practices, and real-world examples to help you build scalable, fault-tolerant systems. Participants will gain hands-on experience using key technologies such as Docker, Kubernetes, Spring Boot, and API Gateway.

Course Objectives

By the end of this course, participants will be able to:

1. Understand Microservices Architecture: Gain a deep understanding of microservices concepts, its advantages, and challenges compared to monolithic architecture.
2. Design Microservices-Based Systems: Learn how to design, model, and decompose a monolithic application into a set of microservices.
3. Develop Microservices with Spring Boot: Build, test, and deploy microservices using Spring Boot, a popular framework for creating Java-based microservices.
4. Manage Microservices with Docker and Kubernetes: Learn containerization and orchestration tools to deploy, scale, and manage microservices.
5. Implement Inter-Service Communication: Understand communication patterns for microservices including synchronous (REST, gRPC) and asynchronous messaging (RabbitMQ, Kafka).
6. Handle Microservices Security: Implement security for microservices with OAuth2, JWT, and API gateways.
7. Monitor and Maintain Microservices: Learn how to monitor and troubleshoot microservices using tools like Prometheus, Grafana, and ELK stack.
8. Implement CI/CD for Microservices: Integrate continuous integration and continuous delivery (CI/CD) pipelines into a microservices-based environment.

Who Should Attend?

This course is ideal for:

• Software Developers and Engineers interested in building scalable, cloud-native applications using microservices.
• DevOps Engineers looking to deploy and manage microservices-based applications using containerization and orchestration tools.
• Solutions Architects who want to understand how to design, develop, and deploy microservices architectures in real-world scenarios.
• Technical Leads and Project Managers who want to implement microservices in their projects and improve team collaboration.
• QA Engineers interested in testing microservices applications in a distributed environment.
• System Administrators looking to understand how to manage microservices applications in a production environment.

Day 1: Introduction to Microservices and Architecture Design

Session 1: What is Microservices Architecture?

• Defining Microservices Architecture: Concepts and components
• Microservices vs. Monolithic Architecture
• Benefits of microservices: Scalability, flexibility, and fault tolerance
• Challenges of microservices: Complexity, inter-service communication, data consistency

Session 2: Designing Microservices-Based Applications

• Domain-Driven Design (DDD) and its role in microservices
• Identifying business domains and decomposing monolithic applications
• Designing for decentralized data: Database per service pattern
• Service granularity: How to split services, avoiding too fine-grained or too coarse-grained services

Session 3: Microservices Communication Patterns

• Synchronous communication: REST APIs, gRPC
• Asynchronous communication: Messaging queues (RabbitMQ, Apache Kafka)
• Event-Driven Architecture (EDA)
• API Gateway pattern: Centralized routing and management of requests

Hands-On Exercises:

• Identify services and decompose a monolithic application using DDD.
• Build basic communication between two services using RESTful APIs.

Day 2: Building Microservices with Spring Boot

Session 1: Introduction to Spring Boot for Microservices

• Overview of Spring Boot and its advantages in building microservices
• Setting up a Spring Boot application
• Key Spring Boot modules for microservices: Spring Web, Spring Data JPA, Spring Cloud
• Creating RESTful APIs with Spring Boot

Session 2: Service Discovery and Load Balancing with Spring Cloud

• Introduction to Spring Cloud and its ecosystem
• Service discovery with Eureka: Automatically register and discover services
• Load balancing with Ribbon and Spring Cloud LoadBalancer
• Circuit Breaker pattern with Hystrix for fault tolerance

Session 3: Database Management in Microservices

• Choosing the right database for microservices: SQL vs. NoSQL
• Implementing Database per Service pattern
• Managing data consistency: Eventual consistency, Saga pattern, and CQRS (Command Query Responsibility Segregation)

Hands-On Exercises:

• Create a simple Spring Boot microservice with a REST API.
• Set up Eureka for service discovery and implement a client that consumes services.

Day 3: Containerization and Orchestration with Docker and Kubernetes

Session 1: Introduction to Docker and Containers

• Understanding containers and their role in microservices
• Docker basics: Images, containers, Dockerfile, and Docker Compose
• Benefits of using Docker in microservices: Isolation, portability, and scalability

Session 2: Building and Running Microservices in Docker

• Containerizing a Spring Boot microservice with Docker
• Writing Dockerfiles for microservices
• Running multi-container applications with Docker Compose
• Best practices for building lightweight and efficient Docker images

Session 3: Orchestration with Kubernetes

• What is Kubernetes? Key concepts: Pods, services, deployments, namespaces
• Setting up a Kubernetes cluster (minikube or cloud)
• Deploying microservices on Kubernetes
• Scaling, monitoring, and troubleshooting microservices in Kubernetes

Hands-On Exercises:

• Dockerize a Spring Boot microservice and run it in a container.
• Set up a Kubernetes cluster locally using minikube and deploy your microservice.
• Scale your microservice deployment and monitor the system.

Day 4: Microservices Security, Monitoring, and Logging

Session 1: Securing Microservices with OAuth2 and JWT

• Importance of security in microservices: Authentication and Authorization
• Using OAuth2 and JWT for securing APIs
• Implementing a centralized OAuth2 Authorization Server with Spring Security
• API Gateway for security enforcement

Session 2: Monitoring Microservices

• Key metrics and KPIs to monitor for microservices
• Integrating Prometheus and Grafana for monitoring and visualization
• Using Spring Boot Actuator for exposing metrics and health endpoints
• Monitoring containers with Kubernetes and Prometheus

Session 3: Distributed Tracing and Centralized Logging

• Challenges in debugging and tracing in microservices architectures
• Setting up distributed tracing with Zipkin and Spring Cloud Sleuth
• Centralized logging with ELK Stack (Elasticsearch, Logstash, Kibana) or EFK Stack (ElasticSearch, Fluentd, Kibana)

Hands-On Exercises:

• Implement JWT-based authentication in a Spring Boot microservice.
• Set up Prometheus and Grafana for monitoring microservices metrics.
• Set up centralized logging with the ELK stack and search for logs from different microservices.

Day 5: DevOps, CI/CD, and Deploying Microservices

Session 1: Implementing Continuous Integration and Delivery (CI/CD) for Microservices

• CI/CD pipelines for microservices: Key principles and tools
• Tools for CI/CD: Jenkins, GitLab CI, CircleCI, GitHub Actions
• Building and deploying microservices in a pipeline: Automated tests, Docker, Kubernetes, and Helm
• Managing deployments with Helm charts in Kubernetes

Session 2: Deploying Microservices to Cloud Platforms

• Deploying microservices to cloud environments: AWS, Azure, and GCP
• Continuous Deployment strategies for microservices: Canary Deployments, Blue-Green Deployments, and Rolling Updates
• Serverless microservices: Lambda, Fargate, and Knative

Session 3: Managing and Maintaining Microservices in Production

• Handling failures and ensuring availability: Circuit Breakers, Retries, and Timeouts
• Managing configuration in microservices with Spring Cloud Config
• Best practices for scaling microservices: Horizontal scaling, load balancing, and auto-scaling
• Ensuring fault tolerance and resiliency in production environments

Hands-On Exercises:

• Create a simple CI/CD pipeline for deploying a microservice to Kubernetes.
• Set up a Helm chart for deploying microservices to a Kubernetes cluster.
• Implement an automated rollback strategy for microservice deployment failures.

Course Delivery Method:

• Format: Instructor-led live sessions with a mix of lectures, case studies, hands-on labs, and group discussions.
• Materials: Course slides, sample code, demo applications, and access to tools and GitHub repositories for exercises.
• Prerequisites: Familiarity with basic software development, experience with web development (REST APIs), and an understanding of cloud platforms. Basic knowledge of Docker is beneficial but not required.