Asynchronous Apex can massively scale your Salesforce org—but only if you chain jobs safely, manage state effectively, handle errors gracefully, and maintain visibility into what’s happening behind the scenes. This guide walks through real-world strategies for chaining async jobs, passing state across transactions, handling errors reliably, and monitoring everything in...
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...
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...
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...
