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In the microservices world, Service Registry and Discovery plays an important role because we most likely run multiple instances of services, and we need a mechanism to call other services without hardcoding their hostnames or port numbers. In addition to that, in Cloud environments, service instances may come up and go down at any time. So we need some automatic service registration and discovery mechanism. Spring Cloud provides Service Registry and Discovery features, as usual, with multiple options. We can use Netflix Eureka or Consul for Service Registry and Discovery.

In MicroServices using Spring Boot & Spring Cloud – Part 1: Overview, we took a brief look at what microservices are and how we can use Spring Boot and Spring Cloud to build them.

In this post, we are going to learn:

• What is the need for Spring Cloud Config and Vault?
• How to create our first microservice: catalog-service
• How to create a Spring Cloud Config Server
• How to use Vault for storing sensitive data

Nowadays, “MicroServices” is the hot buzzword in software development, and many organizations prefer building their enterprise applications using a MicroServices architecture. In the Java community, Spring Boot is the most widely used framework for building both monoliths and microservices. I am planning to write a series of articles covering how to build microservices using Spring Boot and Spring Cloud.

Spring Boot is the most popular and widely used Java framework. This discussion of “Why is Spring Boot so popular?” occasionally comes up between me and my friends/colleagues. Also, I get emails from various people asking, “Spring is huge; how can I learn it quickly?”. In this post, I will try to answer these two questions.

RabbitMQ is one of the most popular message broker solutions and provides client libraries to be used from various programming languages, including Java, Scala, .NET, Go, Python, Ruby, PHP, etc. In this tutorial, we will learn how to use the RabbitMQ message broker to send and receive messages from a Spring Boot application. We will also look at how to send messages as JSON payloads and how to deal with errors using Dead Letter Queues (DLQ).

In web applications, user session management is very crucial for managing user state. In this article, we are going to learn about the approaches we have been following to manage user sessions in a clustered environment and how we can use Spring Session to implement it in a much simpler and more scalable way.

In this article, we are going to learn how we can use Travis CI for Continuous Integration and Continuous Deployment (CI/CD) of a Spring Boot application. We will learn how to run Maven build goals, perform test coverage validation using the JaCoCo plugin, run Code Quality checks using SonarCloud, build a Docker image and push it to DockerHub, and finally deploy it to Heroku.