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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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Breaking up an existing monolithic application

Migrating a mature, monolithic application to Salesforce’s package development model can be a major undertaking filled with complexities and challenges.

On the complexity side, code refactoring is often needed to break tight couplings and fit components into modular packages. Dependency management becomes critical to untangle interconnected components. Introducing namespaces can add complexity in updating all references. Data models may need reworking to fit the new packaged schema. Permission sets and profiles will likely require redefinition. Automation and CI/CD pipelines need adaptation to handle packaging, versioning, and dependencies. Keeping various org environments in sync with the correct package versions is complex to orchestrate.

In terms of challenges, the transition will require extensive investment in resources and time. There will be a knowledge gap as teams learn the new model. Testing strategies need an overhaul...

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