Book Image

Modern API Development with Spring and Spring Boot

By : Sourabh Sharma
Book Image

Modern API Development with Spring and Spring Boot

By: Sourabh Sharma

Overview of this book

The philosophy of API development has evolved over the years to serve the modern needs of enterprise architecture, and developers need to know how to adapt to these modern API design principles. Apps are now developed with APIs that enable ease of integration for the cloud environment and distributed systems. With this Spring book, you'll discover various kinds of production-ready API implementation using REST APIs and explore async using the reactive paradigm, gRPC, and GraphQL. You'll learn how to design evolving REST-based APIs supported by HATEOAS and ETAGs and develop reactive, async, non-blocking APIs. After that, you'll see how to secure REST APIs using Spring Security and find out how the APIs that you develop are consumed by the app's UI. The book then takes you through the process of testing, deploying, logging, and monitoring your APIs. You'll also explore API development using gRPC and GraphQL and design modern scalable architecture with microservices. The book helps you gain practical knowledge of modern API implementation using a sample e-commerce app. By the end of this Spring book, you'll be able to develop, test, and deploy highly scalable, maintainable, and developer-friendly APIs to help your customers to transform their business.
Table of Contents (21 chapters)
1
Section 1: RESTful Web Services
7
Section 2: Security, UI, Testing, and Deployment
12
Section 3: gRPC, Logging, and Monitoring
16
Section 4: GraphQL

Distributed tracing with Zipkin

The ELK stack is good for log aggregation, filtering, and debugging using the trace ID and other fields. However, it can't check the performance of API calls – the time taken by the call. It is especially important when you have a microservice-based application.

This is where Zipkin (OpenZipkin), along with Spring Cloud Sleuth, not only helps you to trace transactions across multiple service invocations, but also to capture the response time taken by each service involved in the distributed transaction. Zipkin also shows this information using nice graphs. It helps you to locate the performance bottlenecks and drill down the specific API call that creates the latency issue. You can find out the total time taken by the main API call as well as its internal API call time.

Services developed with Spring Boot facilitate their integration with Zipkin. You just have to make two code changes – the addition of the Sleuth-Zipkin dependency...