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Mastering Apex Programming

You're reading from   Mastering Apex Programming A developer's guide to learning advanced techniques and best practices for building robust Salesforce applications

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800200920
Length 368 pages
Edition 1st Edition
Languages
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Author (1):
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Paul Battisson Paul Battisson
Author Profile Icon Paul Battisson
Paul Battisson
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Table of Contents (21) Chapters Close

Preface 1. Section 1 – Triggers, Testing, and Security
2. Chapter 1: Common Apex Mistakes FREE CHAPTER 3. Chapter 2: Debugging Apex 4. Chapter 3: Triggers and Managing Trigger Execution 5. Chapter 4: Exceptions and Exception Handling 6. Chapter 5: Testing Apex Code 7. Chapter 6: Secure Apex Programming 8. Section 2 – Asynchronous Apex and Apex REST
9. Chapter 7: Utilizing Future Methods 10. Chapter 8: Working with Batch Apex 11. Chapter 9: Working with Queueable Apex 12. Chapter 10: Scheduling Apex Jobs 13. Chapter 11: Using Platform Events 14. Chapter 12: Apex REST and Custom Web Services 15. Section 3 – Apex Performance
16. Chapter 13: Performance and the Salesforce Governor Limits 17. Chapter 14: Performance Profiling 18. Chapter 15: Improving Apex Performance 19. Chapter 16: Performance and Application Architectures 20. Other Books You May Enjoy

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...

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