Background Jobs And Async Processing

Design reliable background jobs, queues, and asynchronous processing with proper retries, visibility, and failure handling. Use when offloading work from request/response paths or building async workflows.

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Background Jobs and Async Processing

Overview

Moving work out of the critical request path improves responsiveness and scalability, but introduces new failure modes that must be handled deliberately.

When to Use

  • Long-running or resource-intensive tasks
  • Work that can be eventually consistent
  • Decoupling producers from consumers
  • Scheduled or recurring work

Key Design Points

  • Idempotency of job handlers
  • Retry strategy with backoff
  • Dead-letter / failed job handling
  • Visibility timeouts and at-least-once delivery realities
  • Observability (queue depth, processing latency, failure rates)
  • Ordering requirements (if any)

Principles

  • Prefer simple, well-understood queue systems unless complexity is justified
  • Make jobs restartable and side-effect safe
  • Surface failures clearly

Verification

  • Failed jobs are visible and recoverable
  • Duplicate execution does not cause incorrect results
  • Key metrics are monitored

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