A dependable game-job alerting system needs two signals: poll the game’s error or log API every ten minutes, and require each job to send a heartbeat when it starts and finishes. The poller catches recorded exceptions; the heartbeat catches jobs that never started, a removed schedule, or a crashed process. Normalize events, deduplicate them, apply a player-impact threshold, deliver an idempotent webhook, and persist the query cursor and notification status independently.
What the monitor must detect
“A failed job” is not one condition. Your monitor should distinguish at least four cases:
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- Recorded failure: the game service ran the job and wrote an exception or error record.
- Missed execution: the scheduler expected a run, but it did not begin on time.
- Silent stoppage: the worker, host, or deployment disappeared before producing a log record.
- Delivery failure: your poller found a problem, but Slack, email, or the webhook endpoint did not accept the alert.
Polling alone covers only the first category. Combining API polling, scheduler lifecycle events, and heartbeats gives you coverage for both visible errors and silence.
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| Component | Responsibility | State to retain |
|---|---|---|
| Node.js poller | Runs on a ten-minute schedule and queries records newer than the cursor | Last successful cursor, run ID, duration |
| Normalizer | Converts provider-specific records into a stable event shape | Provider event ID or deterministic deduplication key |
| Threshold engine | Groups errors by game and job and decides when player impact warrants notification | Occurrence count, first-seen and latest-seen times |
| Delivery worker | Sends a structured payload to a webhook, chat endpoint, email relay, or all three | Idempotency key, attempts, response status, response body summary |
| Heartbeat endpoint or store | Receives start and completion check-ins from every game job | Expected interval, last start, last completion, deployment version |
| External process monitor | Detects a dead Node.js process and restarts or pages separately | Process state and restart history |
Design the ten-minute polling window
Use a cursor with a small overlap
Store the timestamp or provider cursor returned by the last successful API query. On the next run, query from that cursor minus a small overlap. The overlap protects you from clock skew, eventual consistency, and records that become visible just after the original query. Deduplicate the overlap by provider event ID whenever one exists.
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If the provider has no event ID, build a deterministic key from the game, job, normalized error class, and an occurrence window. Include the deployment version when two releases could emit otherwise identical errors. Keep the key stable across retries so a delivery retry cannot create a second incident.
Do not advance the cursor after a failed query
Advance the cursor only after the API response has been validated and all records in that response have been normalized. If the request times out, returns malformed data, or fails authentication, leave the cursor unchanged. The next run can safely retry the same window.
Apply a threshold based on impact
A single transient error may deserve a metric but not a page. Count occurrences by game and job, then choose a threshold that reflects the player experience. For example, notify immediately for a production job that blocks login, but require several occurrences within the window for a cosmetic or analytics task. Store the count and both first-seen and latest-seen timestamps in the alert so responders can judge persistence.
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Schedule one poll every ten minutes
Use a five-field cron expression such as */10 * * * *. Set an explicit IANA timezone instead of inheriting the host’s local setting. Enable noOverlap when a poll can run longer than ten minutes; otherwise a slow API response can create concurrent runs that race on the cursor and duplicate notifications. The node-cron scheduling options document these controls at nodecron.com/scheduling-options.html.
import cron from 'node-cron';
const task = cron.schedule('*/10 * * * *', () => pollOnce(), {
timezone: 'UTC',
noOverlap: true
});
for (const event of [
'execution:failed',
'execution:missed',
'execution:overlap',
'task:failed'
]) {
task.on(event, info => notifyLifecycleEvent(event, info));
}The exact event payload depends on your node-cron version, so log the received object before selecting fields for your alert schema. The documented lifecycle events include execution:failed, execution:missed, execution:overlap, and task:failed. Treat them as first-class signals rather than relying only on log polling.
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Use background tasks for expensive jobs
For CPU-heavy or long-running work, node-cron can run a background task in a forked process. Configure an executeTimeout so a run cannot wait forever, and a startTimeout so a worker that never becomes ready is reported. Forward those timeout and startup failures through the same normalization and delivery path as API-observed errors.
Instrument scheduler logs
Use the scheduler’s custom info, warn, error, and debug logging hooks to emit a run ID, schedule name, cursor, and duration. Never put credentials or complete player payloads in those logs. A run ID lets you connect a lifecycle event, API query, heartbeat, and outbound notification without relying on message text.
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Add heartbeats for jobs that leave no error record
Each game job should send a start heartbeat and a completion heartbeat containing a job name, environment, deployment version, run ID, and timestamp. The monitor stores the latest successful completion and calculates the next expected deadline from the job’s declared cadence.
Alert on a late heartbeat
Choose a grace period longer than normal queue and network jitter. If the completion heartbeat is late, emit a “missing or late run” alert even when the error API is empty. Include the last known start, last completion, expected deadline, and deployment version. A start heartbeat without a completion heartbeat indicates a hang or crash during execution; repeated starts without completions usually indicate a timeout or process termination.
Protect the heartbeat endpoint
- Authenticate requests with a service token or signed request.
- Reject timestamps outside a narrow clock-skew window.
- Use a unique run ID so retries are idempotent.
- Rate-limit by job and environment.
- Retain only the operational fields needed for diagnosis.
HTTP telemetry services designed for background jobs, websites, and APIs can provide this check-in pattern, but verify their retention, regional processing, and availability terms before routing production data through one.
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Make every network call failure-safe
Bound outbound requests
Set an abort timeout on every game API and webhook request. Classify an AbortError separately from an operational FetchError; the distinction tells you whether your own deadline fired or the network stack reported another failure. Record the HTTP status and a safely truncated response body, but redact authorization headers, tokens, cookies, and player identifiers.
Retry only when it is safe
Use capped exponential backoff with jitter for connection failures, timeouts, and transient 5xx or rate-limit responses. Do not blindly retry authentication failures or malformed requests. Every webhook attempt should carry an idempotency key such as game:job:error-class:window-start-window-end. The receiver, or a durable delivery table on your side, uses that key to collapse repeated attempts.
Separate query success from notification success
Persist two independent states. A successful API query may advance the cursor even if Slack or email is unavailable; otherwise the same records are repeatedly reprocessed. At the same time, retain an undelivered notification row with its attempts and last error. A delivery-failure alert should go to a second, independently operated channel when possible.
async function requestJson(url, options, timeoutMs = 8000) {
const controller = new AbortController();
const timer = setTimeout(() => controller.abort(), timeoutMs);
try {
const response = await fetch(url, { ...options, signal: controller.signal });
const body = await response.text();
if (!response.ok) {
const error = new Error(`HTTP ${response.status}`);
error.status = response.status;
error.body = body.slice(0, 2000);
throw error;
}
return JSON.parse(body);
} catch (error) {
if (error.name === 'AbortError') throw new Error('request timeout');
throw error;
} finally {
clearTimeout(timer);
}
}The snippet illustrates the control flow; adapt transport and error types to the fetch implementation used by your service.
Run the complete ten-minute loop
- Minute 0: write a poller start record and load the last successful cursor.
- Query: request the cursor window plus overlap, validate the response, and normalize each record.
- Deduplicate: prefer the provider event ID; otherwise use the stable composite key.
- Classify: group by game and job, attach severity, and apply the configured threshold.
- Deliver: send game, job, first-seen time, latest error, count, deployment version, run ID, and runbook URL in a structured payload.
- Persist: advance the cursor only after query success; write delivery status separately.
- Complete: send a poller completion heartbeat with duration and item count.
- Escalate: page on a missing heartbeat, a lifecycle failure event, or disappearance of the Node.js process.
Example webhook payload
{
"event": "game_job_failure",
"game": "example-game",
"job": "matchmaking-index",
"severity": "high",
"firstSeen": "2026-10-18T12:00:00Z",
"latestSeen": "2026-10-18T12:09:41Z",
"count": 7,
"errorClass": "DatabaseTimeout",
"deployment": "2026.10.18-3",
"runId": "poll-20261018T121000Z",
"idempotencyKey": "example-game:matchmaking-index:DatabaseTimeout:12:00-12:10",
"runbook": "https://internal.example/runbooks/matchmaking-index"
}Map this payload to Slack blocks, an email template, or the JSON contract required by your incident system. Keep the machine-readable fields even when the human-facing message is shortened.
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Handle crashes and multiple instances
Do not resume after an uncaught exception
Node.js states: “It is not safe to resume normal operation after ‘uncaughtException’.” Treat an uncaught exception as a process-fatal event. Flush only minimal diagnostic data, let an external supervisor restart the process, and rely on the heartbeat and cursor state to recover. An in-process attempt to continue can leave locks, sockets, or in-memory deduplication state corrupted.
Prevent duplicate pollers
With more than one Node.js instance, use a distributed lock or a named distributed task so only one instance polls a given game and interval. Set a lease duration longer than the expected poll time, renew it while processing, and release it on normal completion. If the lock store is unavailable, fail closed rather than allowing every instance to send the same incident.
Keep deployment changes visible
Include the deployment version in heartbeats and alerts. During a rolling deployment, the old and new versions may overlap; a version field helps responders tell a genuine game failure from a migration or configuration issue.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Choose between a self-built poller and a hosted monitor
| Decision axis | Self-built Node.js poller | Hosted cron or HTTP monitor |
|---|---|---|
| Detection coverage | Can combine error APIs, node-cron events, and custom heartbeats exactly to your jobs | Usually strong for missed check-ins, but API-log correlation may require extra integration |
| Delivery reliability | You own timeouts, retries, idempotency, dead-letter handling, and secondary channels | Provider may supply retrying delivery and integrations; verify outage behavior and retention |
| Deployment model | Runs in-process, as a forked worker, or as a separately supervised service | Runs outside your cluster, so it can still report a cluster-wide outage |
| Duplicate-run control | Requires a lock or distributed task when instances scale out | Often included, but confirm how overlapping check-ins are handled |
| Operational cost | No monitoring subscription, but storage, maintenance, and on-call ownership are yours | Less code to operate, with vendor availability, data-retention, and program-term questions |
A hosted monitor is most valuable for detecting that your entire poller or cluster vanished. A self-built poller is preferable when you need provider-specific parsing, private-network access, or custom player-impact rules. Many teams use both: the poller analyzes game errors, while an external heartbeat monitor watches the poller itself.
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Troubleshoot common alerting failures
No alert when a job never ran
Check that the job sends a start heartbeat independently of its main work and that the monitor has a declared expected interval. Confirm the lateness threshold is not longer than the incident window. Verify that a deployment did not remove the schedule without updating the monitor.
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Repeated alerts for one incident
Inspect the deduplication key and overlap size. Ensure the cursor advances only after a validated query and that delivery retries reuse the same idempotency key. If multiple instances are active, inspect the distributed lock and lease expiry.
Poller falls behind
Measure API latency, normalization time, and delivery time separately. Increase the request timeout only when the provider’s normal response time justifies it; otherwise reduce the query window or process records in pages. Keep noOverlap enabled so backlog does not become concurrent duplicate work.
Webhook provider rejects messages
Record the status code and a redacted response body. A 401 or 403 requires credential rotation; a 429 needs backoff respecting the provider’s limit; a 5xx can use capped retries. Continue retaining the undelivered notification until a retry succeeds or an operator explicitly dead-letters it.
Node.js process disappears without an error
Use an external supervisor and an independent heartbeat monitor. A process that vanishes cannot execute its own failure handler, so only an outside observer can page reliably.
Security and data-retention checklist
- Store API and webhook credentials in a secret manager, not source code or cron arguments.
- Use TLS for every API, heartbeat, and webhook connection.
- Redact tokens, session cookies, email addresses, and player identifiers from logs and alert bodies.
- Restrict the poller’s API token to read-only log access and the minimum game scope.
- Set retention limits for raw error payloads, normalized incidents, and delivery responses.
- Test alert routing with synthetic failures and confirm that recovery closes or annotates the incident.
- Document a runbook URL for each high-severity job, including rollback and replay instructions.
Operational decision
For ten-minute detection, implement the poller as a durable state machine rather than a timer that merely forwards logs: overlap the cursor window, deduplicate, threshold by impact, retry with idempotency, and persist query and delivery state separately. Add scheduler lifecycle events and start/completion heartbeats to cover missed and silent runs. Finally, supervise the Node.js process externally and enforce a single polling owner across instances. That combination catches both explicit game errors and the more dangerous case where no error record is produced at all.
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