System Architecture, Service Architecture, and Microservice Architecture with Spring Cloud Training Course

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Course Code



21 hours (usually 3 days including breaks)


  • An understanding of software and system engineering
  • Java development experience
  • Experience with Spring Framework


  • Java developers wishing to rapidly build and deploy microservices
  • System architects wishing to implement a microservice architecture


Spring Cloud is a platform for building Java-based distributed systems and microservices.

Building complex enterprise applications is challenging. Any change made to a part of the systems could trigger the need for changing the design of the entire system.

In this instructor-led, live training, participants will learn how to evaluate different technologies and approaches for the design of a services-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, then digs into the details of microservice architecture.

Participants are given a chance to put their knowledge into practice as they step through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot and Docker.

Finally, the relevant infrastructure building blocks are examined to help participants determine the most suitable tools and approaches to use for different organizational requirements.

By the end of this training, participants will have a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture as well practical experience using Spring Cloud and related Spring technologies for rapidly developing their own cloud-scale, cloud-ready microservices.

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Course Outline


  • System and service architecture, PaaS, and cloud-native design

Overview of Monolithic System Architecture

  • Running an entire monolithic applications functionality in a single process
  • Scalability through replication across multiple servers
  • Protocols used in monolithic systems: EAI, CORBA, etc.

Overview of Webservices

  • Service Oriented Architecture (SOA) and Microservices Architecture

Service-Oriented Architecture (SOA)

  • Benefit and Costs of SOA
  • Successes and failures in implementing SOA
  • Messaging and ESB
  • Infrastructure and tools supporting SOA

How Microservices Implement Web Service Concepts

  • Do one thing and do it well
  • DevOps
  • Continuous Deployment and Delivery (Continuous Integration, Continuous Build Process, etc.)
  • Lightweight protocols

Microservice Protocols and Standards

  • HTTP, JMS, AMQP, Websockets, JSON, etc.

Development Frameworks for Building Microservices

  • Java-based frameworks (Spring Cloud)
  • Javascript-based frameworks (Seneca)

Decomposing a Monolith Application

  • Developing independently deployable applications
  • Organizing microservice applications around business capabilities
  • Case study: Migrating a monolith application to three core microservices

Setting up a Spring Cloud Development Environment

  • Setting up Docker and Docker Compose
  • Setting environment variables

Overview of Spring Cloud and Spring Boot

  • Spring Cloud sub-projects: Config Server & Bus, Eureka, Ribbon, Feign, and Hystrix
  • Spring Boot

Creating a Spring Boot application

Centralized, versioned configuration management with Spring Cloud Config

Dynamic configuration updates with Spring Cloud Bus

Service discovery with Eureka

Load balancing with Ribbon

Applying circuit breakers with Hystrix

Declarative REST clients with Feign

Working with API Gateway

Securing a microservice application

Tracing microservices to uncover latencies

Deploying Microservices

  • Containers (Docker, K8N, LXC, etc...)
  • Configuration Management (Ansible, etc...)
  • Service discovery
  • Monitoring and Managing Microservices
  • Infrastructure for Microservices

Cloud and Auto Scalability of Microservices

  • Microservice redundancy and fail-over
  • Performance scalability for Microservices
  • Auto scalability
  • Implementing Microservices on OpenStack, AWS, and other cloud platforms

Troubleshooting Common Problems for Distributed Applications

  • Complexity of ecosystem
  • Network Performance
  • Security
  • Deployment
  • Testing
  • Nano-services

Final Considerations for Building Production-ready Systems

  • Making system easy for beginners
  • Making system complete so that it can serve as the foundation for enterprise applications

Summary and Conclusion



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