governor-limits

You can monitor governor limits in Apex using the Limits class to make runtime budgeting decisions before executing DML or SOQL. Querying these limits allows your code to proactively offload work to Queueable or batch processing when approaching per-transaction constraints.

The best way to offload Apex processing near transaction limits is using async strategies like Queueable, Platform Event decoupling, and batch processing. These patterns safely handle large workloads by distributing DML and SOQL operations across multiple asynchronous transactions.

Yes, you can use Platform Events to decouple logic and bypass per-transaction governor limits in Apex triggers. By publishing events, your trigger offloads heavy processing to async subscribers, keeping the initial transaction lightweight and within safe budget constraints.

Limitations of Queueable Apex include a cap on chained job depth and per-transaction limits still applying to each individual execution. For massive workloads, you must combine Queueable with batch processing and strict runtime limit monitoring to prevent async job overflow.

Test and monitor Apex governor limit consumption by enforcing limits querying patterns and fault tolerance strategies within your test classes. This ensures your budgeting decisions and async offloads perform correctly under production load without breaching platform constraints.