Book Image

MuleSoft for Salesforce Developers

By : Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant
Book Image

MuleSoft for Salesforce Developers

By: Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant

Overview of this book

MuleSoft for Salesforce Developers will help you build state-of-the-art enterprise solutions with flexible and scalable integration capabilities using MuleSoft’s Anypoint Platform and Anypoint Studio. If you’re a Salesforce developer looking to get started with this useful tool, look no further. This book will get you up to speed in no time, leveling up your integration developer skills. This essential guide will first introduce you to the fundamentals of MuleSoft and API-led connectivity, before walking you through the API life cycle and the Anypoint Studio IDE. Once you have the IDE set up, you’ll be ready to create Mule applications. You’ll look at the core components of MuleSoft and Anypoint Platform, and before long you’ll know how to build, transform, secure, test, and deploy applications using the wide range of components available to you. Finally, you’ll learn about using connectors to integrate MuleSoft with Salesforce and to fulfill a number of use cases, which will be covered in depth, along with interview and certification tips. By the end of this book, you will be confident building MuleSoft integrations at an enterprise scale and be able to gain the fundamental MuleSoft certification – MCD.
Table of Contents (21 chapters)
1
Part 1:Getting Started with MuleSoft
7
Part 2: A Deep Dive into MuleSoft
14
Part 3: Integration with Salesforce and Other Connectors

Understanding an API life cycle

In order to build a complete API, we need to follow a systematic approach. Hence, we shall now learn about the life cycle of an API. It consists of four stages:

  1. Design: This involves architecting the basic skeleton of your API. This is the first and the most crucial step, as we need to take into consideration all the functional and non-functional requirements to build a logical structure.
  2. Simulate: After having a fair understanding of the initial requirements, we need to implement the API by using appropriate endpoints, methods, data types, and examples, and following the API design best practices.
  3. Feedback: Once our API model is ready, we can simulate our API using the mocking service. Also, we can test our API to check if the response meets the initial requirements.
  4. Validate: At this stage, we will share the API with other external/internal developers and collaborators and take into consideration the feedback received from them...