Book Image

Cloud-Native Applications in Java

By : Ajay Mahajan, Munish Kumar Gupta, Shyam Sundar S, Anirudh Balasubramanian
Book Image

Cloud-Native Applications in Java

By: Ajay Mahajan, Munish Kumar Gupta, Shyam Sundar S, Anirudh Balasubramanian

Overview of this book

Businesses today are rapidly evolving and cloud-native applications are now needed more than ever before. To build these types of applications, you must be able to determine the right environment, tools, and resources. This course is designed to help you get to grips with all the concepts and techniques you need to build secure, robust, and scalable applications for cloud-based deployment. The course begins by explaining the driving factors behind cloud adoption and how cloud deployment is different from regular application deployment. You’ll learn about design patterns specific to apps running in the cloud, and discover how you can build a microservice in Java Spring using REST APIs. Next, you’ll focus on how to build, test, and deploy applications with maximum automation to reduce the deployment cycle time. A dedicated section will then guide you through configuring the Amazon Web Services (AWS) and Azure platforms and working with their APIs to deploy your apps. Toward later chapters, you’ll understand how to write efficient code by exploring API design concerns and their best practices. Finally, you’ll learn to migrate an existing monolithic app to a distributed cloud-native app. By the end of this course, you’ll have learned how to confidently build and monitor a cloud-native application that is highly available and fault tolerant.
Table of Contents (12 chapters)
Chapter 11
API Design Best Practices
Content Locked
Section 1
Lesson Overview
This lesson discusses how to design consumer-centric APIs that are granular and functionality-oriented. It also discusses the various best practices for API design concerns, such as how to identify the resources that will be used to form the API, how to categorize the APIs, API error handling, API versioning, and so on. We will cover models for describing the API through Open API and RAML.