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?
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Some SOQL queries in our org used to run quickly, but as data volume increased, response times degraded. The queries themselves haven’t changed much, and indexes exist on some fields. I’m trying to understand what causes SOQL performance to decline ...
Demo orgs usually assume perfect data, linear flows, and cooperative users.Production orgs rarely behave this way once real pressure, volume, and edge cases appear.Many Salesforce issues surface only after go-live, not during demos.
Integrations fail silently without monitoring. Issues go unnoticed. I want to understand why monitoring is critical.
Not every Salesforce use case requires an advanced decision engine.Some teams adopt BRE too early or for overly simple logic.Understanding the right fit prevents unnecessary complexity.
Too many SOQL queries: 101
failing Field type change