Modern integrations aren’t just about connecting systems anymore — they’re about moving data and events reliably across multiple clouds and environments.The secret? A few tried-and-true middleware patterns (like pub/sub, request–reply, sagas, and streaming) combined with smart error routing strategies (retries, DLQs, compensations). Here’s a practical, field-tested guide to understanding these...
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:...
Salesforce follows a strict, predictable process when saving data. Each step is carefully designed to ensure that operations either succeed completely or fail safely—without leaving your data corrupted. These core concepts—Order of Execution, Transactions, Locking, Savepoints, and Partial Success—form the foundation for reliable automation and error handling. Together, they give...
