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

Introducing logging and tracing

Today, products and services are divided into multiple small parts and executed as separate processes or deployed as separate services, unlike a monolithic system. An API call may make several other internal API calls. Therefore, you need distributed and centralized logging to trace the request that spans multiple web services. This tracing can be done using the trace identifier (traceId), which can also be referred to as a correlation identifier (correlationId). This identifier is a collection of characters that form a unique string, which is populated and assigned to an API call that requires multiple inter-service calls. Then, the same trace identifier is propagated to subsequent API calls for tracking purposes.

Errors and issues are imminent in the production system. You need debugging to ascertain the root cause. One of the key tools associated with debugging is logs. Logs can also give you warnings relating to the system if the system is designed...