I’ve already removed SOQL queries and DML operations from loops in my Apex code. Despite that, I’m still hitting limits in real production scenarios with large datasets. The logic itself isn’t very complex, but the limits seem easy to hit. ...
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When the org was smaller, record saves were nearly instant, but over time users started noticing delays. Each save now takes several seconds, especially on heavily automated objects. Nothing is outright failing, but performance has clearly degraded. I want to ...
These terms are often used interchangeably by new CRM users.However, each represents a very different level of commitment and tracking.Understanding this difference is key to accurate sales reporting.
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Salesforce business logic often changes as policies, SLAs, and products evolve.Maintaining these changes through Apex or Flow can become slow and deployment-heavy.Teams need a way to adapt decision logic without constant code updates.
Some Flows simply stop working without displaying any error message. Records aren’t updated, but users see no failure notifications. This makes troubleshooting difficult. I want to understand why Flows fail silently.
Not every person who shows interest is ready to buy or even relevant.Sales teams need a way to separate early interest from real buying intent.Skipping this step often results in inflated pipelines and wasted effort.
Business rules often change more frequently than UI or database structure.Mixing them elsewhere makes updates risky and slow.A dedicated layer helps control complexity.