Is every event an incident?

No. Most events are informational or warnings and require no response from people. Only events that indicate a real or imminent disruption to service should become incidents. Filtering and correlating events before they reach responders is what keeps incident volumes manageable and alerts meaningful.

Where does alert fatigue come from?

Usually from weak event management: raw events turned into pages or tickets without filtering, deduplication, or correlation. One upstream failure then generates many alerts. Paging on user-facing symptoms, grouping related events, and routing warnings to tickets rather than pages reduce fatigue significantly.

How does event management relate to monitoring?

Monitoring produces events. Event management decides what they mean: which to ignore, which to correlate, which to act on automatically, and which to escalate as incidents. Good monitoring with poor event management still produces noise, because every signal reaches a person.

What is an example of an event that is not an incident?

A backup job completing, a certificate renewal succeeding, a service scaling up under normal load, or disk usage crossing an early warning threshold. Each is a meaningful change of state worth recording, and some may trigger automated actions, but none is a disruption to service that requires incident response.

Should monitoring tools create incidents automatically?

For well-understood symptoms of user impact, yes, because automatic creation saves time and captures context. For everything else, route events through filtering and correlation first. Automatically creating an incident for every alert produces duplicate tickets during large failures and trains responders to ignore the queue, which defeats the purpose.

Event Management vs Incident Management

Event management detects and filters changes of state across infrastructure and services, such as a threshold crossed, a job completed, or a component failing. Incident management responds when service to users is disrupted or degraded, aiming to restore it quickly. Events are inputs; only some should become incidents, and the filtering between them determines how much noise responders face.

Definitions

In ITIL terms, an event is a change of state that has significance for the management of a service or configuration item. Events can be informational, such as a backup completing; warnings, such as disk usage approaching a limit; or exceptions, such as a service failing a health check.

An incident is an unplanned interruption to a service or a reduction in its quality. Incident management exists to restore normal service as quickly as possible and minimise impact on users.

How they connect

Event management sits upstream. Monitoring, logs, and infrastructure tools generate a constant stream of events. Event management filters out the informational ones, correlates related events that share a cause, and decides which exceptions indicate a real or imminent service impact. Those become incidents, ideally with context attached: related events, affected services, and recent changes.

Some events trigger automated responses without ever becoming incidents, such as scaling a pool or restarting a job. Others are recorded for trend analysis and capacity planning.

Where it goes wrong

The most common failure is turning events straight into incidents or pages without filtering. A single upstream failure produces dozens of alerts, each opening its own ticket, and responders spend the first half hour deduplicating instead of fixing. The opposite failure is filtering so aggressively that real service impact is missed. Alerting on user-facing symptoms, and using component events as context, avoids both. It also gives responders a clear starting point: the symptom tells them what users experience, and the attached events suggest where to look first.

Designing the handoff

Decide explicitly which event types can create incidents, and what context they must carry: affected service, owning team, severity, related events, and recent changes. Route warnings to queues that are reviewed during working hours rather than to pages. Require that every paging alert has a runbook and an owner. Review the handoff after incidents: were there events that should have escalated earlier, and events that paged without need? That review is what keeps the filter tuned as systems change.

Aspect	Event management	Incident management
Focus	Detecting and filtering changes of state	Restoring disrupted service
Input	Monitoring, logs, infrastructure signals	Escalated events, user reports
Volume	Very high	Much lower
Typical output	Filtered, correlated alerts; automated actions	Restored service, communication, records
Success measure	Signal to noise, detection speed	Time to restore, user impact
Main risk	Noise or missed signals	Slow restoration, poor coordination

Frequently asked questions

Is every event an incident?: No. Most events are informational or warnings and require no response from people. Only events that indicate a real or imminent disruption to service should become incidents. Filtering and correlating events before they reach responders is what keeps incident volumes manageable and alerts meaningful.
Where does alert fatigue come from?: Usually from weak event management: raw events turned into pages or tickets without filtering, deduplication, or correlation. One upstream failure then generates many alerts. Paging on user-facing symptoms, grouping related events, and routing warnings to tickets rather than pages reduce fatigue significantly.
How does event management relate to monitoring?: Monitoring produces events. Event management decides what they mean: which to ignore, which to correlate, which to act on automatically, and which to escalate as incidents. Good monitoring with poor event management still produces noise, because every signal reaches a person.
What is an example of an event that is not an incident?: A backup job completing, a certificate renewal succeeding, a service scaling up under normal load, or disk usage crossing an early warning threshold. Each is a meaningful change of state worth recording, and some may trigger automated actions, but none is a disruption to service that requires incident response.
Should monitoring tools create incidents automatically?: For well-understood symptoms of user impact, yes, because automatic creation saves time and captures context. For everything else, route events through filtering and correlation first. Automatically creating an incident for every alert produces duplicate tickets during large failures and trains responders to ignore the queue, which defeats the purpose.