In Salesforce, your Apex code must handle anywhere from 1 to 200 records per transaction — all while coexisting with flows, triggers, and other automation. Two foundational principles make this possible: Bulkification — designing logic that efficiently processes lists of records without hitting governor limits. Mixed DML and lock awareness...
In Salesforce Apex, triggers are incredibly powerful — but without structure, they can spiral into chaos fast.To keep your automation clean, scalable, and predictable, follow three cornerstone practices: One trigger per object A trigger handler pattern Recursion guards Together, these principles make your code easier to debug, safer to scale,...
Salesforce Platform Cache (Org & Session) is an easy win when you want faster reads, fewer API calls, and smoother traffic spikes—without spinning up your own cache layer. The key is to use safe, predictable patterns (cache-aside/read-through, versioned keys, event-driven invalidation) so you don’t accidentally serve stale or inconsistent data....
Salesforce gives you two solid ways to find data: SOQL for precise, table-style queries, and SOSL for full-text, cross-object search. Layer on smart search tuning (filters, wildcards, snippets) to surface relevant results quickly. And for read-heavy orgs, Skinny Tables can help — but they have trade-offs and should be used...
Fast, reliable Apex leans on three pillars: relationship queries, aggregate SOQL, and thoughtful subqueries—while steering clear of N+1 patterns. Nail these and your code stays bulkified, selective, and governor-limit friendly. Relationship SOQL (child → parent): follow lookups with dot notation Concept: Pull fields from a parent record in the same...
If you want blazing-fast SOQL, your filters have to be selective. In practice, that means your WHERE clause narrows things enough for Salesforce to rely on an index. Use the Query Plan tool to see what the optimizer intends to do and shape your filters to hit standard, custom, or...
