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Optimizing Salesforce Industries Solutions on the Vlocity OmniStudio Platform

You're reading from   Optimizing Salesforce Industries Solutions on the Vlocity OmniStudio Platform Implementing OmniStudio best practices for achieving maximum performance

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781835468470
Length 278 pages
Edition 1st Edition
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Author (1):
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Dmitri Khanine Dmitri Khanine
Author Profile Icon Dmitri Khanine
Dmitri Khanine
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Table of Contents (18) Chapters Close

Preface 1. Part 1:The Platform Overview FREE CHAPTER
2. Chapter 1: Understanding the Vlocity OmniStudio Platform 3. Chapter 2: A Sample Application 4. Part 2: Getting to Know the Tools
5. Chapter 3: Evaluating the Performance of an OmniStudio Implementation 6. Chapter 4: An Introduction to Load Testing 7. Chapter 5: Tracking Code Changes and Deployment 8. Part 3: Best Practices for Improving Performance
9. Chapter 6: Options for Async Execution 10. Chapter 7: Understanding Caching 11. Chapter 8: Non-Selective Queries and Data Skew 12. Chapter 9: Improving the Performance of the Service Layer 13. Chapter 10: Improving the Performance of the Presentation Layer 14. Chapter 11: DataRaptor Formula Performance Considerations 15. Chapter 12: OmniStudio Performance Anti-Patterns 16. Index 17. Other Books You May Enjoy

Summary

Well, that’s a wrap. I hope you had fun with our new superpower—the ability to use OmniStudio performance metrics to see the exact impact that a best practice may have in the specific case of your application. This unlocks an entirely new level of understanding and makes optimizing your Salesforce Industries solutions more effective and rewarding.

In the chapter, we also looked at some valuable best practices that could make our Service Layer OmniStudio components faster. We looked at scenarios when running our DataRaptors and Remote Actions inside Integration Procedures may bring tangible benefits. Next, we explored how to speed up our Extract DataRaptors by using relationship notation and saw the unexpectedly large impact that trimming the response JSON can have on our Integration Procedure and DataRaptor performance. Finally, we turned the tables and looked at scenarios when using Turbo Extract DataRaptors may not bring the kind of benefits one may expect...

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