Breaking the CPU Time Limit: The Invocable-to-Queueable Split Pattern
How to split expensive processing between a synchronous Invocable method and an asynchronous Queueable job to avoid the 15-second CPU time limit.
How to split expensive processing between a synchronous Invocable method and an asynchronous Queueable job to avoid the 15-second CPU time limit.
Understanding the distinction between synchronous and asynchronous Apex execution contexts, and how to decide what runs inline vs. in a Queueable or future method.
How concurrent Queueable jobs create race conditions that lead to duplicate records, and how FOR UPDATE locking, External ID Upsert, and dedup queries provide defense-in-depth.
How concurrent async operations like @future and Queueable can corrupt Revenue Cloud's internal SalesTransaction state, and the correct sequencing pattern to prevent it.
How to structure Apex tests for systems where triggers enqueue Queueable jobs, including test setup patterns, async execution, and edge case coverage.
Understanding why Queueable jobs are serialized at enqueue time, not execution time, and how the shared key pattern prevents silent data loss.
How to accumulate record IDs across multiple trigger chunks and enqueue a single Queueable job for efficient bulk processing.