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Article · Datadog: from discovery to expertise

Incidents and automation

1. From alert to incident #

A tooled journey.

Cycle #

Lifecycle of an incident in Datadog
StepToolGood practice
DetectMonitors (metric, logs, APM, composite, anomalies)Alert on the symptom (SLO, user errors), not on every cause
PageOn-Call (schedules, escalations) or a third-party tool (PagerDuty, Opsgenie)One escalation policy per team, via the Software Catalog
CoordinateIncident Management (roles, severity, timeline)One incident commander, regular communication
ActWorkflow Automation, linked runbooksAutomate the first safe actions
LearnPost-mortem generated from the incidentFollow-up actions assigned and tracked

2. Workflow Automation #

Automating without code.

Examples #

  • When a SEV-1 incident is created: create a Slack channel, invite the owning team, open a Jira ticket.
  • On a « disk almost full » monitor: run a cleanup via an action or a webhook, then check the metric.
  • On a security signal: isolate a user in the IdP after human validation.
Common mistake: Automatic remediation without guardrails can make an incident worse (restart loops). Provide a human approval step for destructive actions and a rate limit.

📄 Incidents and automation with Datadog: On-Call, Incident Management and Workflow Automation →

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