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Salesforce DevOps for Architects

You're reading from   Salesforce DevOps for Architects Discover tools and techniques to optimize the delivery of your Salesforce projects

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837636051
Length 260 pages
Edition 1st Edition
Concepts
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Authors (2):
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Rob Cowell Rob Cowell
Author Profile Icon Rob Cowell
Rob Cowell
Lars Malmqvist Lars Malmqvist
Author Profile Icon Lars Malmqvist
Lars Malmqvist
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: A Brief History of Deploying Salesforce Changes 2. Chapter 2: Developing a DevOps Culture FREE CHAPTER 3. Chapter 3: The Value of Source Control 4. Chapter 4: Testing Your Changes 5. Chapter 5: Day-to-Day Delivery with SFDX 6. Chapter 6: Exploring Packaging 7. Chapter 7: CI/CD Automation 8. Chapter 8: Ticketing Systems 9. Chapter 9: Backing Up Data and Metadata 10. Chapter 10: Monitoring for Changes 11. Chapter 11: Data Seeding Your Development Environments 12. Chapter 12: Salesforce DevOps Tools – Gearset 13. Chapter 13: Copado 14. Chapter 14: Salesforce DevOps Tools – Flosum 15. Chapter 15: AutoRABIT 16. Chapter 16: Other Salesforce DevOps Tools 17. Chapter 17: Conclusion 18. Index 19. Other Books You May Enjoy

The benefits of accurate data for development and testing

Creating a realistic development environment is a cornerstone of effective system development, especially in complex and data-driven platforms such as Salesforce. One of the most critical aspects of establishing this realism is ensuring the accuracy and integrity of data used for development and testing purposes. High-quality, realistic data lays the essential groundwork for understanding how the system will truly behave once deployed in a live production environment. This is crucial for enabling developers to make informed design decisions and foresee potential pitfalls or issues early in the development life cycle.

The primary benefit of accurate, high-fidelity data is the sheer level of realism it brings into the development environment. When developers and quality assurance (QA) testers have access to data that mirrors real-world data, they gain invaluable perspective into how the system will function under live operational...

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