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A Node.js process being alive—or a cron job starting successfully—does not show that a gaming experiment’s scheduled work finished. Record durable completion for each expected experiment, cohort, and schedule window, then have an independent watchdog compare those records with explicit deadlines. If the evidence is missing or uncertain, freeze that cohort’s progression until its state is known.
What a cron health check must prove
A process heartbeat answers whether a process is responsive. A job-start event answers whether an invocation began. Neither proves that the scheduled business operation committed. The health check needs durable evidence written only after that operation succeeds.
Track the expected schedule window, job start, durable completion, and watchdog observation as distinct timestamps. Judge whether work was on time by comparing its scheduled time with its completion time. Keep the observation time as well: it shows when the watchdog learned the outcome, not when the work finished.
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Give every expected run a stable identity
Use one expected-run key for each experiment, cohort, and window, for example experiment-42/cohort-b/2026-10-10T12:00:00Z. Store one completion record against that key, with the scheduled timestamp, start timestamp, durable completion timestamp, watchdog observation timestamp, attempt metadata, and experiment version.
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Write the completion record only after the durable operation commits. Treat a started status as diagnostic information, not as a success signal. If a request times out after a write may have happened, the outcome is unknown until the durable store is checked.
Keep attempts separate from completion
Retries can produce multiple attempt records, but they must not create multiple completion claims for one expected run. Make completion writes idempotent on the stable run key. Separately protect the cohort mutation—such as changing a treatment assignment or applying scheduled experiment data—with its own transaction or deduplication boundary. Idempotent heartbeat storage does not make that underlying mutation idempotent.
Have an independent watchdog check expected windows
The watchdog should derive the expected windows from the schedule and query their completion records. It must not rely on the monitored job to report that it never ran; a job that never starts cannot send its own missed-run alert.
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Set each deadline using measured queue delay and execution duration for the workload, with an explicit allowance for clock skew. Revisit it when load, cadence, or cohort size changes. A five-minute check cadence and seven-minute deadline are only an illustrative example in the topic-specific guidance, not universal thresholds. Choose values from the behavior and capacity of your system.
If the evidence store is unavailable or a write’s outcome cannot be confirmed, mark the result uncertain and freeze progression. Do not interpret “could not read the record” as “the job succeeded,” or as proof that it failed; resolve the state from the durable system before making a cohort decision.
Decide missed-run and overlap behavior explicitly
Scheduler behavior is implementation-specific. For example, NestJS durable workflows document cron expressions with five fields, or six when seconds lead; every intervals; and RFC 5545 rrule schedules. UTC is the default schedule timezone in that framework. Its documented missed default is skip, with once and all as alternatives. Its documented overlap default is also skip, with allow, cancel-previous, and buffer-one alternatives. See the NestJS durable workflows documentation; these are NestJS semantics, not guarantees shared by every Node.js cron package.
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For other schedulers, verify the installed library’s behavior and version rather than inferring it from a different framework. The node-schedule documentation describes retrieving a scheduled fire date, which can help compare intended and actual invocation timing for delay tracking and audit records.
When a job can run longer than its cadence, choose deliberately whether to prevent overlap, partition the work, or change the schedule and completion objective. For instance, if a five-minute schedule takes eight minutes under expected capacity, retries alone will not create the capacity to keep pace.
Use cohort-scoped evidence for rollout decisions
Advance a cohort only when its expected window has a durable, on-time completion and the evidence path is available. A different cohort’s success or a healthy worker process cannot substitute for that cohort’s record.
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If the deadline passes without evidence, freeze that cohort’s progression. Apply rollback only if the established experiment policy calls for it; make the rollback action idempotent and bind it to the experiment version being reversed. Persist the decision and its history, including the reason and evidence considered. If a late completion arrives after a rollback decision, retain it as new evidence rather than silently erasing or rewriting the earlier decision.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Test the health check at its decision boundaries
Use fixed UTC timestamps in boundary tests so results do not depend on a developer machine’s local timezone. Exercise at least these cases:
- An expected run completes durably before its deadline.
- One cohort has no completion record at its deadline while another cohort succeeds.
- A completion arrives late, after a rollback decision has already been recorded.
- Duplicate attempts use the same stable run key.
- The completion store cannot be read.
- A job’s runtime exceeds its schedule cadence, creating overlapping windows.
Check that the outcome in each case follows the stated policy, that duplicate work does not create extra completion claims, and that decisions and late evidence remain auditable.
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When an external heartbeat service helps
An external scheduled-job monitor can add missed-run alerts without relying on the worker to notify its own failure. When evaluating one, check its schedule and grace-period configuration, whether it records a ping only after successful work, its alert channels and event history, self-hosting and data-ownership options, and whether it can represent per-cohort run keys.
A generic heartbeat service may report a missed ping without proving durable per-cohort completion or safely automating a cohort rollback. Keep the completion record and rollout decision logic in a system that can verify the relevant durable state; use external alerts as an additional signal unless the service’s capabilities meet those requirements.
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