Modern Spring-Backends for Angular

Microservices with Spring Boot

Using a case study, we develop a Spring Boot backend for an Angular client.

We get to know Domain-driven Design as a foundation for a microservice architecture. Our goal is to develop a functional and expandable application right at the beginning of the training, which we can expand as the training progresses.

We assume that you already have experience with Java.

The following aspects are examined in detail:

• Design of a microservice architecture using Domain Driven Design
• Use HTTP and its functions correctly
• Design of good REST services using Spring and Routing
• Describe your API using Swagger/ OpenAPI
• Logging, startup and configuration

Data Access with Spring Data and JPA/ Hibernate

Almost every application works with data and has to persist it. In this part, we extend our application with a relational database that we access using Spring Data and JPA/ Hibernate.

The following aspects are examined in detail:

• Database access using Spring Data, JPA/ Hibernate
• Data Transfer Objects and POCOs
• Mapping relationships
• Change tracking in distributed systems

Authentication and Authorization with Spring Security

Another common application requirement is the ability to identify who is using the
Application and whether they are allowed to work with the requested data/functions.

Therefore, in the next step, we will add authentication and authorization to our application. We learn how an existing user database can be connected, but also how we can create our own user directory just for our application.

The following aspects are examined in detail:

• OAuth2 and OpenId Connect as modern authentication protocols
• JSON Web Tokens (JWT) as container for OAuth2 and OpenId Connect information
• Redhat Keycloak
• Integration of your own Security Token Service

Advanced Topics

We spend the rest of the time with your specific questions and further topics. Examples are:

• Working with binary data and streaming
• Asynchronous communication via message queues
• Use of own data formats beyond XML and JSON
• Integration of document-oriented databases such as MongoDB or ComosDB
• Service Discovery and Load Balancing
• Hosting with Docker