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...
When Salesforce consumes external events (for example, Platform Events published by another system), your integration logic must be resilient. Failures will happen — networks time out, APIs throttle, or payloads contain invalid data. A robust event consumer does two key things: It retries transient errors safely without looping forever. It...
Salesforce offers two major ways to stream events across systems — Platform Events (PE) and Change Data Capture (CDC).Both use the Salesforce Event Bus with replay support, but they exist for different reasons. In short: Platform Events are custom, intentional messages you define to represent business actions or commands. Change...
In event-driven Salesforce architectures, messages often outlive the code that processes them. That’s why it’s critical to evolve schemas safely, trace events end-to-end, and handle duplicates without causing side effects. This guide walks you through practical approaches for versioned Platform Events, correlation/causation IDs, and idempotent consumers with deduplication, including compact...
In Salesforce event-driven systems, Platform Events are delivered at least once — meaning the same message can show up multiple times or even arrive out of order. That’s completely fine, as long as your consumers are idempotent (safe to process more than once) and you have a durable replay strategy...
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...
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 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...
