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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, this is the end of our tour of the OmniStudio performance and scalability anti-patterns and the better solutions we can apply to make our apps more robust on future-proof. We began by defining what an anti-pattern is and then continued to look at the three families of common performance anti-patterns, any of which could produce serious negative effects in our apps.

We began by looking at typical Loop Block configuration errors that often cause sporadic governor limit exceptions in addition to performance degradation. Then, we proceeded to review configurations where the lack of error handling was allowing Integration Procedures to continue running after a failed operation, causing performance and even more serious data corruption issues. Finally, we looked at the risky DataRaptor Extract Filter operators that frequently cause poorly performing and non-selective queries.

With this knowledge under our belt, we are equipped to recognize and stay clear of these commonly...

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