Custom Metadata stores data, while BRE actively evaluates decisions.BRE supports decision tables, versioning, and complex multi-condition logic.It reduces the need for Apex just to interpret configurations.This comparison becomes clearer when studying decision-table driven logic scenarios shared onRead more
Custom Metadata stores data, while BRE actively evaluates decisions.
BRE supports decision tables, versioning, and complex multi-condition logic.
It reduces the need for Apex just to interpret configurations.
This comparison becomes clearer when studying decision-table driven logic scenarios shared on SalesforceTrail.
Why does my Kubernetes deployment roll out but traffic still hits old pods?
When this happens, the service is almost certainly selecting the wrong pods. Kubernetes services don’t care about deployments or rollout status. They route traffic purely based on label selectors. If your new pods have labels that don’t exactly match what the service expects, traffic will continue fRead more
When this happens, the service is almost certainly selecting the wrong pods.
See lessKubernetes services don’t care about deployments or rollout status. They route traffic purely based on label selectors. If your new pods have labels that don’t exactly match what the service expects, traffic will continue flowing to the old ReplicaSet even though the rollout completed successfully.
This often happens after small refactors where labels are renamed or reorganized, and the service definition isn’t updated accordingly.
Takeaway: If traffic isn’t shifting, always check service selectors before blaming the rollout
Why is direct observation of Salesforce users considered critical for good architectural decisions?
Observing users reveals where Salesforce design doesn’t match real working habits. Manual exports, screenshots, and parallel systems often signal deeper design gaps. Architects who spend time with users tend to build simpler and more trusted solutions. This people-first approach is central to human-Read more
Observing users reveals where Salesforce design doesn’t match real working habits.
See lessManual exports, screenshots, and parallel systems often signal deeper design gaps.
Architects who spend time with users tend to build simpler and more trusted solutions.
This people-first approach is central to human-centered system design conversations shared within the Salesforce ecosystem on SalesforceTrail.
Why do Salesforce roll-up summaries lag behind updates?
Roll-ups recalculate asynchronously in some cases. Load affects timing. Expect eventual consistency. Design accordingly.Takeaway: Roll-ups aren’t always real-time.
Roll-ups recalculate asynchronously in some cases. Load affects timing.
See lessExpect eventual consistency.
Design accordingly.
Takeaway: Roll-ups aren’t always real-time.
Why does Salesforce feel harder to debug at scale?
More automation increases execution paths. Logs become noisy. Structured debugging helps.Takeaway: Complexity reduces observability.
More automation increases execution paths.
See lessLogs become noisy.
Structured debugging helps.
Takeaway: Complexity reduces observability.
Why does Salesforce require so much defensive programming?
Multi-tenant constraints demand safety. Data variability requires guards. Defensive coding is essential.Takeaway: Assume imperfect data.
Multi-tenant constraints demand safety.
See lessData variability requires guards.
Defensive coding is essential.
Takeaway: Assume imperfect data.
Why do mature Salesforce orgs prioritize governance over speed?
Speed without governance increases risk. Stability matters at scale. Controlled change ensures longevity.Takeaway: Governance enables sustainable growth.
Speed without governance increases risk.
See lessStability matters at scale.
Controlled change ensures longevity.
Takeaway: Governance enables sustainable growth.
Why do Salesforce integrations fail more often during peak business hours?
During peak hours, Salesforce is processing far more concurrent transactions. API calls compete with user activity, automation, and background jobs for shared resources. This makes timeouts and lock contention more likely. Synchronous integrations are especially sensitive to this because they wait fRead more
During peak hours, Salesforce is processing far more concurrent transactions. API calls compete with user activity, automation, and background jobs for shared resources. This makes timeouts and lock contention more likely.
See lessSynchronous integrations are especially sensitive to this because they wait for immediate responses. When Salesforce is under load, even efficient requests may exceed timeout thresholds.
Most teams address this by using asynchronous patterns, batching updates, and designing retry logic that respects system load.
Takeaway: Integration reliability depends as much on timing and load as on code quality.