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Salesforce DevOps for Architects

Salesforce DevOps for Architects

By : Cowell, Lars Malmqvist
4.8 (11)
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Salesforce DevOps for Architects

Salesforce DevOps for Architects

4.8 (11)
By: Cowell, Lars Malmqvist

Overview of this book

Rob Cowell is a Salesforce DevOps Advocate with extensive experience as a Salesforce Developer and Architect, guiding best practices for Salesforce DevOps. Lars Malmqvist, a 32x certified Salesforce CTA, has 15 years of experience building advanced Salesforce solutions and is the author of two books, Architecting AI Solutions on Salesforce and Salesforce Anti-Patterns. As the Salesforce Platform evolves, architects face increasing demand for advanced solutions. This book serves as your definitive guide to mastering effective DevOps practices crucial for successful Salesforce projects. Beginning with cultivating a DevOps mindset focused on collaboration and communication, it emphasizes governance, visibility, and accountability. You'll delve into tools and techniques, leveraging the robust capabilities of SFDX to craft your strategy efficiently. This book stands out for its practical approach to Salesforce packaging and CI/CD stack creation, guiding you to build a seamless automated change delivery system with freely available software. It addresses critical operational concerns such as ticket management, backups, change monitoring, and data seeding. In the final chapters, you'll discover third-party solutions to expedite your Salesforce DevOps journey, empowering you to deliver sophisticated and efficient projects.
Table of Contents (20 chapters)
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Summary

Managing your Salesforce environments, which include both metadata and data, is a crucial aspect of Salesforce DevOps. This chapter emphasized the importance of monitoring your environments, not only for the sake of maintaining stability and integrity but also for understanding and overseeing changes across every aspect of your Salesforce orgs.

We started by discussing the need for monitoring, detailing how uncontrolled changes can lead to instability and how automated change control can help maintain order. Then, we explored different types of monitoring, including metadata monitoring, data monitoring, posture monitoring, and operational monitoring.

We dove deep into the specifics of metadata monitoring, discussing the importance of monitoring metadata in production and sandbox environments, and the various tools and methods you can use to do so. We also touched upon the need for monitoring data behavior, including configuration data, data anomalies, data quality, and...

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