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Because tracing an outage and paging an engineer do different jobs. A trace shows how a request moved through services and helps explain where it slowed down or failed. Alert rules and notification routing decide whether an engineer is paged. Finding the cause in a trace does not, by itself, clear a firing alert, group duplicate notifications, or change who is on call.
What a trace tells you—and what it does not
OpenTelemetry describes a trace as the path a request takes through a distributed system, represented by spans. Following those spans across a gateway, application service, and database can help an engineer see where time was spent or an error occurred. OpenTelemetry’s tracing documentation explains this diagnostic role.
A trace is not an alert-management policy. It does not set alert thresholds, route notifications, assign incident ownership, or tell an on-call engineer what response to take. Those behaviors depend on the monitoring and incident-management setup. The exact correlation, deduplication, and auto-resolution features vary by product and configuration; tracing alone does not guarantee any of them.
Why one outage can produce several pages
One incident can trigger multiple alert rules. A user-facing latency alert, an error-rate alert, and a database health alert may all fire as the same event unfolds. Separate teams may also receive notifications because each owns a service or infrastructure component affected by the outage. Google SRE notes that a single event can generate alerts for affected service owners and infrastructure teams.
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These notifications are not necessarily duplicates. One may indicate customer impact, while another calls for a distinct action, such as addressing a resource limit. But if several alerts describe the same incident and send engineers into separate investigations, grouping can reduce repeated work while keeping useful signals visible. Google SRE’s guidance on alerting on SLOs discusses this distinction.
Decide which conditions deserve a page
A page should reach a person when there is a timely action for them to take. Prometheus recommends focusing alerts on symptoms associated with end-user pain, keeping them simple, and avoiding pages where there is nothing to do. For example, user-facing latency or errors may justify a page; an internal component warning that has no effect on service behavior may not. Prometheus’s alerting guidance explains the reasoning.
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There are exceptions to waiting for visible customer impact. A preventive page can be appropriate when a hard resource limit or similar risk is close and an engineer can intervene in time. The practical test is not simply whether a condition is “internal” or “external,” but whether it signals meaningful risk and calls for human action. Google SRE’s monitoring guidance likewise emphasizes timely, end-to-end, actionable alerts.
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Make each page useful to the on-call engineer
Review a page by identifying the response it is meant to prompt. Google SRE’s on-call guidance says, “All alerts should be immediately actionable,” and recommends a playbook entry for each alert. The on-call guidance gives further context.
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- State the signal: Make clear what condition fired and what service or user impact it may represent.
- Link to diagnostic context: Include the relevant dashboard or console so the engineer can start investigating rather than hunt for the right view.
- Document the response: Provide a playbook with the first checks and expected actions, including when to involve another owner.
- Check ownership: Route the page to a team that can take the necessary action, with a clear path for coordinating related teams.
A useful page can link an engineer from the alert to a trace that helps locate the failing dependency. The trace adds evidence for diagnosis; the alert and playbook provide the trigger and response path.
Group related alerts without hiding separate problems
When multiple notifications point to the same incident, coordinate ownership and group them where the monitoring setup supports it. Keep alerts separate when they represent distinct user impact or require different, timely actions. Grouping is meant to reduce duplicated investigation, not to suppress evidence engineers need.
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Incident-management workflows can help teams track and communicate about issues detected through metrics, traces, or logs. For example, Datadog’s incident-management documentation describes such a workflow; it does not establish that one product is superior or that every monitoring tool behaves the same way.
Find recurring alert noise, not just memorable incidents
Review alert history as well as postmortems. Postmortems explain individual outages, but they may miss frequent, lower-impact patterns that never led to a major review. Google SRE notes that aggregate alert tracking can reveal recurring noise that individual incident write-ups do not capture. Its postmortem guidance provides context.
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Google’s analysis of thousands of postmortems from 2010–2017 found that binary pushes were associated with 37% and configuration pushes with 31% of incidents in that sample. These figures describe Google’s postmortem sample, published in 2018; they are not industry-wide rates and do not measure how often engineers are paged after tracing an outage. The analysis and its methodology are available from Google SRE.
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