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

Course

In City Of London

Price on request

Description

  • Type

    Course

  • Location

    City of london

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.
Spring Cloud is introduced as a platform for building Java-based distributed systems and microservices. 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.
Audience
Java developers wishing to rapidly build and deploy microservices
System architects wishing to implement a microservice architecture
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice

Facilities

Location

Start date

City Of London (London)
See map
Token House, 11-12 Tokenhouse Yard, EC2R 7AS

Start date

On request

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Reviews

Subjects

  • Systems
  • Design
  • Java

Course programme

Introduction
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

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

Price on request