A practical architect’s guide to the Salesforce Life Sciences Cloud data model, covering relationships, data ownership, integration, security, scalability, history, and custom extensions.

Life Sciences Cloud is not Sales Cloud with a pharma logo. It changes what your data model owns,…

External applications often need to access Salesforce securely. This includes custom applications, mobile apps, integration tools, and AI…

Every Salesforce org starts with a simple sharing model. A few roles, a couple of sharing rules, maybe…

Learn the top 10 Salesforce LDV anti-patterns that hurt performance, scalability, and reliability—and how architects can design for large data volumes.

Learn Salesforce development best practices to write scalable Apex, optimize performance, improve security, and build maintainable applications.

Learn how Lookup Relationship Anti-Patterns add technical debt, reporting issues, integration complexity, and performance problems in Salesforce implementations

Learn why poor Salesforce data architecture causes scalability, reporting, integration, and other issues, and how to address the Data Architecture Anti-Patterns

Prepare for your Salesforce Integration Architect interview with 20 real-world questions covering integration patterns, APIs, scalability, and architecture.

Stop hardcoding new ClassName() in Apex. Learn how Dependency Inversion Principle (DIP) uses interfaces to make your Salesforce code flexible and easy to test.