Book Image

Spring Boot and Angular

By : Devlin Basilan Duldulao, Seiji Ralph Villafranca
Book Image

Spring Boot and Angular

By: Devlin Basilan Duldulao, Seiji Ralph Villafranca

Overview of this book

Angular makes building applications with the web easy and Spring Boot helps get an application up and running using just a few lines of code and minimal configuration. This book provides insights into building full-stack apps using Angular and Spring Boot effectively to reduce overall development time and increase efficiency. You'll start by setting up your CI/CD pipeline and then build your web application’s backend guided by best practices. You'll then see how Spring Boot allows you to build applications faster and more efficiently by letting the Spring Framework and Spring Boot extension do the heavy lifting. The book demonstrates how to use Spring Data JPA and add its dependencies along with Postgres dependencies in the project to save or persist a user's data in a database for future use. As you advance, you'll see how to write tests and test a service using Mockito. Finally, you'll create a CI workflow or pipeline for a Spring Boot and Angular application to enable operations to deliver quality applications faster. By the end of this Spring Boot and Angular book, you'll be able to build a full-stack web application and deploy it through continuous integration and continuous deployment.
Table of Contents (24 chapters)
1
Part 1: Overview of Spring Boot and Angular Development
4
Part 2: Backend Development
12
Part 3: Frontend Development
19
Part 4: Deployment

Connecting to a database using a PSQL container

This section will teach us how to set up and configure our PostgreSQL in our terminal by using the conventional method, using the installer, or through a Docker container. But first, let’s discuss what PostgreSQL is and what its advantages are.

PostgreSQL

PostgreSQL is an open source object-relational database system that uses the SQL language to store and handle complicated and large workloads. PostgreSQL also supports both SQL (relational) and JSON (non-relational) querying. It is commonly used as primary data storage for geospatial and analytics applications because of its flexibility and rich features. Its community has improved and continuously backed it for more than 20 years to add more features and reliability to the database system.

PostgreSQL’s flexibility means that it is widely used in developing applications. Here are some of the everyday use cases:

  • Scientific data: Research projects can be...