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Learn the essential best practices for planning and executing successful Salesforce data migrations, including common pitfalls to avoid and tools to streamline the process.

This guide provides a systematic approach to implementing ADP in Salesforce for technical practitioners.

Data Lifecycle Management (DLM) is a structured approach to managing information from creation through deletion.

In today's DevOps landscape, scalability and efficiency are key determinants of survival. Companies that measure and improve maturity across collaboration, AI adoption, security, and operations unlock decisive competitive advantages.

AI is now driving decisions across customer journeys, risk models, and internal workflows. And Salesforce is often the launchpad. But here’s the catch: AI changes fast, and traditional DevOps hasn’t kept pace—especially inside the Salesforce ecosystem.

Is your Salesforce team still using change sets, spreadsheets, and manual deployments? You're definitely not alone, but it's time for an upgrade. Outdated DevOps hinders innovation and business operations relying on a smoothly running Salesforce instance for everything from lead flow to campaign tracking.

Meet Sarah, a Salesforce admin juggling requests from every direction. It’s Friday, 4:45 PM. She’s finally ready to deploy a long-awaited update, but something breaks. Again. Maybe it’s a dependency issue. Maybe someone hardcoded credentials. She starts scrolling through error logs and Slack messages, wondering if she’ll make dinner on time.

Salesforce development is more complex than ever. Teams are managing multiple orgs, juggling compliance requirements, and facing mounting pressure to deliver faster. DevOps isn’t just a nice-to-have—it’s essential.

Discover how Agentforce leverages AI to automate Salesforce data backup, recovery, and archival—ensuring security, efficiency, and minimal downtime for businesses.