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Where Node.js fits
I/O-heavy APIs and background workflows with explicit retry and ownership rules.
When to choose another approach
CPU-heavy work can block request handling unless isolated appropriately. Asynchronous code does not guarantee successful delivery.
Worked example and evidence
Fictional order flow: save order, queue a notification, retry a temporary provider failure and place exhausted attempts in a visible review queue.
What you need to supply
Dependencies, runtime version, job identifiers, retry limits, traffic and failure owner.
What acceptance should demonstrate
Disconnect the provider, verify bounded retries and confirm one notification outcome per job identifier.
Running costs and responsibilities
Assign runtime updates, worker capacity, queue retention, provider bills and failed-job review.
Technical scope to confirm
Avoid blocking the event loop. Measure processing-heavy work before choosing workers or a separate service.
A proposal should identify the systems and data, direction of sync, access feasibility, failure handling, named owners and included deliverables. Listing this technology does not imply a prebuilt connector, vendor partnership or included feature.
What if a dependency is unavailable?
Use timeouts, bounded retries and an explicit pending/failed state. Tell the operator what can be retried and who resolves exhausted jobs.