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What the three signals catch
The goal is not to alert on every unusual event. It is to make distinct failure modes visible without flooding a small team with duplicate notifications. These three categories are a practical synthesis, not a tested prescription or a requirement to use one provider.
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1. Grouped application errors
Capture exceptions and group recurring occurrences into issues. Grouping makes a persistent bug easier to recognize than a stream of individual log lines. Useful issue context can include a stack trace, frequency, release or environment, and the number of affected users. Sentry describes notifications for errors that are new, regress, or escalate; those are product capabilities, not a guarantee that every error will be captured or delivered. Sentry’s error-monitoring overview
2. A service-degradation metric
Track a signal over a defined time window that reflects user impact. Depending on the service, that could be a rising request-failure rate, error count, crash rate, or a relevant performance measure. A single exception can indicate a bug; a sustained change in a service-level signal can show that a wider portion of the service is deteriorating.
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Choose a threshold that warrants action, then tune it against normal traffic and known variation. A threshold that is too sensitive produces noise; one that is too loose delays useful warning. Sentry documents metric monitors that can query error counts, crash rates, application metrics, span attributes, and performance, with fixed thresholds, relative changes, or dynamic anomaly detection. Sentry’s monitor guide
3. Availability and background-job checks
An HTTP uptime check can reveal that an endpoint is unavailable even when there is no useful application exception reaching the error tracker. A cron monitor can watch a recurring job’s check-ins, runtime, or failure state. That matters for tasks such as scheduled imports, billing runs, or report generation: a job may stop running or exceed its expected duration without affecting the main request path immediately.
Sentry’s monitor types include uptime and cron monitors. The exact checks and configuration depend on the monitoring service and the job’s schedule. Sentry’s monitor guide
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Keep detection separate from notification routing. In Sentry’s current model, monitors detect conditions and create issues; alerts route notifications and can connect to one or more monitors. Before enabling delivery, make four decisions:
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- Failure condition: Specify the exception, threshold, missed check-in, or runtime condition that counts as a problem.
- Severity: Decide which conditions justify an immediate interruption and which can wait for review.
- Owner and destination: Assign responsibility to a person or channel, and route according to the issue type or environment where appropriate.
- Repeat handling: Set throttling or other limits so one continuing incident does not generate a message for every occurrence.
A single HTTP failure can affect both a request-failure metric and an error issue. That overlap is useful corroboration, but it can also create duplicate alerts. Decide which signal owns the urgent notification and use throttling or routing rules to keep the rest available as context. In the Sentry workflow, the guide covers project and environment selection, metric configuration, issue ownership, sample-issue previews, alert conditions, Slack, email and PagerDuty actions, and throttling. It also recommends sending a test notification to verify the route. Labels and workflows can change, so use the current guide rather than copying older alert API examples; the guide notes a legacy alert API migration. Sentry’s monitor guide
Where logs, traces, and OpenTelemetry fit
Logs and traces help explain an alert; they are diagnostic context, not additional alert categories the team must implement before the three signals are useful. OpenTelemetry is a vendor-neutral framework for instrumenting, generating, collecting, and exporting telemetry such as traces, metrics, and logs. Its JavaScript documentation lists Node.js as a target, with traces and metrics stable and logs in development. It supports active or maintenance LTS versions of Node.js; older versions may work but are not tested. OpenTelemetry JavaScript documentation
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Use OpenTelemetry when consistent instrumentation or the option to change telemetry backends matters. A small team can instead begin with a monitoring provider’s SDK if that is the simpler path. OpenTelemetry supplies the instrumentation and telemetry framework layer; it does not itself provide hosted dashboards, incident response, or a notification destination. Sampling, which the documentation lists as a way to reduce telemetry created, is one way to balance detail against volume. OpenTelemetry JavaScript documentation
OpenTelemetry’s documentation says that more than 90 observability vendors support the framework. The page displaying that figure was last modified August 29, 2025; treat the count as the organization’s dated documentation claim, not an independently verified current vendor census. OpenTelemetry documentation
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Putting the stack into operation
- Choose one user-relevant metric. Define the time window and the level of change that merits investigation, using normal service behavior to tune the threshold.
- Capture and group exceptions. Confirm that recurring failures appear as grouped issues with enough context to investigate, while avoiding unnecessary personal data in captured events.
- Add endpoint and job checks. Monitor the endpoint users depend on and any recurring job whose missed or late execution would matter.
- Assign notification ownership. Set severity, destination, and repeat limits so each actionable condition has a clear owner without creating duplicate pages.
- Test the route. Send a test notification and confirm it reaches the intended person or channel. Review the rules after real incidents or changes in traffic and workload.
What to check before choosing a monitoring service
The relevant comparison is coverage and operational fit, not a vendor ranking. Check whether the service handles exceptions, metrics, endpoint uptime, and scheduled jobs; whether events carry useful stack, release, environment, or user-impact context; and whether notification rules can route by issue, environment, or severity and limit repeats.
Also check SDK and configuration requirements for your Node.js version and framework, plus current data-volume limits, retention, privacy controls, and plan terms. Those commercial and policy details are not established by the sources linked here and should be verified on the service’s current documentation. If backend portability matters, check whether telemetry can be instrumented or exported through OpenTelemetry.
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