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Why do Salesforce Flows fail silently without showing errors?
Flows often fail silently when fault paths aren’t configured. If an error occurs and there’s no fault handling, the Flow simply exits. Permission issues and record access problems can also cause logic to skip without raising visible errors. Adding fault paths and debug logs greatly improves visibiliRead more
Flows often fail silently when fault paths aren’t configured. If an error occurs and there’s no fault handling, the Flow simply exits.
See lessPermission issues and record access problems can also cause logic to skip without raising visible errors.
Adding fault paths and debug logs greatly improves visibility.
Takeaway: No fault path means no feedback when something goes wrong.
Why do Salesforce environments drift apart over time?
Sandbox and production start identical, but over time behave differently. Features work in one but not the other. Tracking differences is difficult. I want to understand why this drift happens. Configuration changes, hotfixes, and manual updates accumulate over time. Not all changes are tracked or dRead more
Sandbox and production start identical, but over time behave differently. Features work in one but not the other. Tracking differences is difficult. I want to understand why this drift happens.
See lessConfiguration changes, hotfixes, and manual updates accumulate over time. Not all changes are tracked or deployed consistently.
Data differences further amplify behavioral differences.
Regular refreshes and deployment discipline reduce drift.
Takeaway: Environment consistency requires active maintenance.
Why does Salesforce record locking happen more often at scale?
Record locking is driven by concurrency. As more users, Flows, triggers, and integrations update the same records, the chance of collisions increases. Parent-child relationships make this worse because updating children can lock parents. Salesforce enforces strict locking to maintain data consistencRead more
Record locking is driven by concurrency. As more users, Flows, triggers, and integrations update the same records, the chance of collisions increases. Parent-child relationships make this worse because updating children can lock parents.
See lessSalesforce enforces strict locking to maintain data consistency. When multiple transactions attempt to update the same record simultaneously, one must fail.
Reducing lock contention usually involves redesigning update patterns, batching changes, and avoiding unnecessary parent updates.
Takeaway: Locking issues reflect concurrency pressure, not broken logic.
Why do Salesforce deployments succeed but functionality still breaks?
Deployments move metadata, not configuration completeness. Permission sets, licenses, feature toggles, and org-level settings are often excluded. As a result, deployed features may exist but remain inaccessible or inactive. Another issue is data dependencies. Some automation relies on specific recorRead more
Deployments move metadata, not configuration completeness. Permission sets, licenses, feature toggles, and org-level settings are often excluded. As a result, deployed features may exist but remain inaccessible or inactive.
See lessAnother issue is data dependencies. Some automation relies on specific records, picklist values, or settings that aren’t deployed automatically.
Post-deployment validation and configuration are essential to ensure functionality matches expectations.
Takeaway: Deployment success doesn’t guarantee operational readiness.
Why do Salesforce Flows conflict with Apex logic?
Flows and Apex operate independently but execute in the same transaction. When both attempt to modify the same fields, conflicts occur. Lack of clear ownership over logic increases the risk of inconsistent outcomes. Defining clear boundaries between Flow and Apex responsibilities reduces conflicts.TRead more
Flows and Apex operate independently but execute in the same transaction. When both attempt to modify the same fields, conflicts occur.
See lessLack of clear ownership over logic increases the risk of inconsistent outcomes.
Defining clear boundaries between Flow and Apex responsibilities reduces conflicts.
Takeaway: Mixing automation layers requires strict coordination.