The system feels heavy over time. I want to understand why.
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Some queries that were once fast are now approaching timeout limits. Indexes exist, but performance gains are inconsistent. As more filters and joins are added, tuning becomes difficult. I want to understand why SOQL optimization gets harder at scale?
Business rules often evolve gradually rather than changing all at once.Testing new logic without disrupting live processes is critical.Traditional Apex-based approaches make this risky.
Integrations fail silently without monitoring. Issues go unnoticed. I want to understand why monitoring is critical.
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. ...
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.
Once a customer agrees verbally, teams often assume the deal is complete.In reality, pricing approval, confirmation, and payment are distinct business events.Merging them can create confusion across finance and sales teams.
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