Microservice Architecture & Pattern With Java Spring Boot / Cloud

Before you purchase:

• The course will be focused on architecture & microservice patterns, not how to hand-code the application.

• You will get full source code (downloadble). I will explain the code & algorithm, but we will not learn how to code line-by-line.

• To get full understanding of sample code, you must know how to code with Java Spring. 

• Basic spring programming with REST API is NOT covered in this course.

• If you need to know the concept, you don't need to know Spring programming

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Microservice architecture has become general choice for modern application development. It solves certain problems, although it is not a solution for ecerything. 

When using microservice, complexity shifts, and mindset change required. Technical challenges will arise and must be addressed. Fortunately, many people already facing the same technical challenges and developed a solution. These solutions become common patterns to solve thes problems. Thus, it become design patterns for microservices architecture.

There are many patterns to design and implement microservices.

Microservices is -by nature- distributed system, thus some technical challenges comes from this nature. Communication among services in distributed places require different approach to works efficiently. In this course, we will learn many things :

1. what is microservice architecture

2. microservice chassis to boost productivity

3. organize clean & standard microservice code

4. communication among services : synchronous, asynchronous

5. service discovery

6. handling communication error

7. synchronize data & keeping data integrity on transaction which involves several distributed services

8. capture changed data in real time, in reliable way

9. querying data from multiple services

10. event sourcing, replaying data flow

11. API gateway concept

12. composing several API

13. cache

14. monitoring services

15. tracing call chain that involves several services

16. centralized log & exception tracking

17. deploy the application as docker container

This course will be delivered with full sample code using Java Spring Boot & Spring Cloud.

Several other tools that we will use on this course :

• Apache Kafka (will use a lot of this!)

• MySQL

• Debezium

• Docker

• Hashicorp Consul

• Hashicorp Vault

• Elasticsearch

• Logstash

• Kibana

• Zipkin

• Kong API management