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Microservices Implementation using Spring Cloud

Microservices Implementation using Spring Cloud

https://www.udemy.com/course/microservices-implementation-using-spring-cloud

 

 

Spring Boot, Spring Cloud, Microservices, API Gateway, Spring Cloud Config Server


 

What you'll learn: 

Learn about microservices and Spring Cloud

Learn how to Configure Intellij IDEA and how to Create microservices

Verify APIs using Postman application

Connect Microservices to H2 Database

How to Register Microservices in Eureka Service Registry

How to Configure Spring Cloud Gateway

Configure Spring Cloud Config Server using Git

Centralized Logging using ELK stack

Distributed Tracing using Zipkin and Sleuth

Requirements:

Knowledge on Spring Boot

Working Knowledge on Intellij IDEA

Basic understanding of Microservices

Understanding of Spring Cloud

Description:

Microservice architecture allows a system to be divided into a number of smaller, individual and independent services. Each service is flexible, robust, composable, complete and independently scalable. They run as autonomous processes and communicate with one another through APIs. In this course, you will set up Intellij IDEA, Postman and H2 Database. Postman is and API testing tool and gives wide support for all possible HTTP methods.H2 is an in-memory database which is volatile, and results in data loss after application restart. Creating two microservices, testing the API using postman application and connecting microservices to H2 database. setting up Eureka Server, register Microservices in Eureka Service Discovery. Spring Cloud Gateway is integrated to route the requests to the respective services or it will filter out the requests according to request pattern and two microservices communicates. creating a git repository and set up Config Server and add order and payment Microservice in Config Server. Centralized Logging using ELK stack i.e., Elastic Search, Logstash and Kibana. They are used for searching, analysing, and visualizing log data. Zipkin is introduced in microservices for distributed tracing and identifying latency issues. Spring Cloud Sleuth used to generate the trace id, span id and add this information to the service calls in the headers.Who this course is for:Cloud EngineersSoftware DevelopersCloud Application Developers

Who this course is for:

Cloud Engineers

Software Developers

Cloud Application Developers

 

Microservices Implementation using Spring Cloud


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