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Concept for executing tasks asynchronously via queues and workers to decouple requests and improve system scalability.
Background job processing decouples expensive or time-shifted tasks from the synchronous request path, enabling asynchronous execution through queues and workers. It improves scalability and response times but requires error handling, idempotency and observability. Implementation must balance throughput, latency and resource planning for reliable operation.
Number of processed jobs per second to measure capacity.
Time from enqueue to successful job processing.
Percentage of jobs moved to the dead-letter queue.
Checkout enqueues confirmation job; worker sends emails and updates inventory outside the request path.
Upload triggers job to generate thumbnails; processing scales independently of upload load.
Day-end reconciliations are processed nightly in batch jobs to use compute resources efficiently.
Analyze requirements and throughput, choose suitable architecture.
Define message format and ensure idempotency.
Set up broker and worker infrastructure and perform scaled tests.
Implement observability, DLQ and retry strategies.