Book Image

Mastering Apex Programming

By : Paul Battisson
5 (1)
Book Image

Mastering Apex Programming

5 (1)
By: Paul Battisson

Overview of this book

As applications built on the Salesforce platform are now a key part of many organizations, developers are shifting focus to Apex, Salesforce’s proprietary programming language. As a Salesforce developer, it is important to understand the range of tools at your disposal, how and when to use them, and best practices for working with Apex. Mastering Apex Programming will help you explore the advanced features of Apex programming and guide you in delivering robust solutions that scale. This book starts by taking you through common Apex mistakes, debugging, exception handling, and testing. You'll then discover different asynchronous Apex programming options and develop custom Apex REST web services. The book shows you how to define and utilize Batch Apex, Queueable Apex, and Scheduled Apex using common scenarios before teaching you how to define, publish, and consume platform events and RESTful endpoints with Apex. Finally, you'll learn how to profile and improve the performance of your Apex application, including architecture trade-offs. With code examples used to facilitate discussion throughout, by the end of the book, you'll have developed the skills needed to build robust and scalable applications in Apex.
Table of Contents (21 chapters)
1
Section 1 – Triggers, Testing, and Security
8
Section 2 – Asynchronous Apex and Apex REST
15
Section 3 – Apex Performance

Managing long-term performance of an application

Throughout this book, we have covered a number of different patterns, practices, and pieces of functionality to help you build better Salesforce applications that will scale as the use of your application scales over time. We started looking at how we can remove common Apex mistakes, and worked through trigger patterns, exceptions, testing, and secure programming, before diving into the many asynchronous options that were available to us in Apex to help the application scale. After understanding our toolset, we then reviewed how to correctly profile our applications and some of the various methods we can employ to improve our use of resources.

All of these items, along with the discussions we have had in this chapter, come together to culminate in helping us understand how we should think about managing the performance of an application in the long term. Very few applications start off with a high volume of data, but over time almost...