Tutorials :

Microservices Implementation using Spring Cloud

      Author: Baturi   |   29 July 2022   |   comments: 0

Microservices Implementation using Spring Cloud
Published 07/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 lectures (3h 4m) | Size: 1.64 GB
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 Engineers
Software Developers
Cloud Application Developers
Homepage
https://www.udemy.com/course/microservices-implementation-using-spring-cloud/





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