Programming Tutorials

  Designing an enterprise Salesforce integration around a Salesforce event-driven architecture often works flawlessly in sandbox environments. However, once production loads scale, architectural cracks begin to show. You experience silent data drops, unhandled external API timeouts, and the dreaded   LIMIT_EXCEEDED   errors when hitting hourly publishing limits. When building resilient external integrations, treating Platform Events simply as asynchronous triggers is insufficient. You must explicitly manage batch processing, transient failures, and strict platform limits. This guide details the technical root causes behind dropped messages and exhausted limits, providing a production-ready architectural pattern leveraging  EventBus.RetryableException  and Dead Letter Queues (DLQ). Understanding the Failure Mechanisms To prevent dropped events and limit breaches, you must understand how Salesforce processes High-Volume Platform Events under the hood. 1. The Hourl...