Test GET and POST end points in Postman toolġ2. Build and Run Spring Boot Microservice Applicationġ1. Write Code for GET and POST rest api call in Rest Controllerġ0. Write Code for Repository Layer, Business Layerĩ. Add Maven Dependency in POM xml for MongoDBĨ. Create Database and Collection in MongoDBħ. Connect MongoDB Compass GUI to MongoDB running in containerĥ. Introduction Spring Boot Microservice and MongoDB Docker ImageĤ. It is an HTTP client that tests HTTP requests, utilizing a graphical user interface, through which we obtain different types of responses that need to be subsequently validated.ġ. Postman Api Testing Tool: Postman is a tool used for API testing. Compass is free to use and can be run on macOS, Windows, and Linux. MongoDB Compass is a powerful GUI for querying, aggregating, and analyzing your MongoDB data in a visual environment. It means that MongoDB isn’t based on the table-like relational database structure but provides an altogether different mechanism for the storage and retrieval of data. MongoDB, the most popular NoSQL database, is an open-source document-oriented database. MongoDB is a cross-platform, document-oriented database that provides, high performance, high availability, and easy scalability. MongoDB works on concept of collection and document. This video will give you complete understanding of running the MongoDB in docker container. MongoDB is an open-source document database and leading NoSQL database. Spring Boot is a microservice-based framework and making a production-ready application in it takes very little time. And is becoming a favorite of developers these days because it’s a rapid production-ready environment that enables the developers to directly focus on the logic instead of struggling with the configuration and setup. Spring Boot is built on the top of the spring framework and contains all the features of the spring. In this video, we will learn, how to pull mongodb image from dockerhub repository, how to run mongodb in docker container, how to connect Spring Boot Microservice Application with the mongodb running in a docker container and testing the GET and POST end-points of the microservices to pull and push customer data.
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