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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

Exploring the weaknesses of AutoRABIT

AutoRABIT has established itself as a robust provider of DevOps solutions, yet feedback from customers has highlighted certain areas that could be refined. A closer examination of user reviews and feedback brings to light a spectrum of concerns, particularly focusing on aspects of performance, the inherent complexity of the system, the level of customer support, and various limitations that can impact user experience.

Regarding performance, there have been instances reported by users where AutoRABIT encounters delays, especially when handling large volumes of complex metadata. When committing substantial packages or executing significant deployment changes, the system appears to occasionally experience lag. This performance drop is frequently attributed to an elaborate web of dependencies within metadata, which the platform must navigate. As the level of complexity escalates, these slowdowns become increasingly evident, suggesting that performance...

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