When your Salesforce org contains millions of records, how you read and process that data matters just as much as what you do with it. Salesforce’s Batch Apex is designed to process massive datasets within governor limits—but to use it effectively, you need well-tuned scope sizes, efficient “queryMore”-style pagination, and...
Salesforce provides four main asynchronous processing tools — @future, Queueable, Batch, and Schedulable — each designed for different use cases. Choosing the right one impacts performance, reliability, governor limit management, and the overall user experience. In this guide, we’ll break down their strengths, ideal use cases, and limitations. You’ll also...
In Salesforce, almost everything — DML, SOQL, triggers, and flows — runs inside a single transaction. That’s powerful because it ensures data consistency: if something fails and isn’t handled, the entire transaction rolls back automatically. But in the real world, not everything needs to be all-or-nothing. Sometimes you want partial...
Designing a great Apex trigger starts with three fundamentals: Choosing the right trigger timing (before vs. after) Managing cross-object updates cleanly Offloading heavy or error-prone work to asynchronous processes Get these right, and your automations will stay fast, bulk-safe, and reliable — even under complex business logic. ? Trigger Timing:...
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,...
This post teaches the core Salesforce Apex language fundamentals you must know: syntax basics, classes/methods/constructors, method overloading, collections (List/Set/Map), SOQL + DML, exception handling, access modifiers, and the #1 bulk pattern (Ids → Query → Map → Apply → DML). It also includes a beginner mistake checklist and interview questions....
Building reliable Salesforce integrations means balancing security, user experience, and resilience. You want secure authentication, non-blocking calls for the UI, and smart retry logic that doesn’t break governor limits. In this guide, we’ll walk through how to achieve all three using: Named Credentials for configuration-based security OAuth/JWT for headless authentication...
In Salesforce Apex, building a reliable error-handling strategy means doing more than just catching exceptions. You need to: Fail fast to block bad data before it hits the database, Use custom exceptions that make intent clear, Tag each transaction with a correlation ID for traceability, and Emit structured telemetry for...
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....
