Auto-Investigate Datadog Alerts

Turn noisy alerts into actionable incident reports

Category

Operations

Features

Datadog, Incidents, Monitoring

Integrations

Github
1

Connect your email provider

Works great with Datadog, Slack, Linear and more.

Connect apps
2

Define trigger conditions

  • Activate on Datadog alert webhooks matching incident rules.
  • Configure from Apps.
3

Set AI response template

Summarize likely root cause with impacted services and immediate mitigation steps.

Prompt example

SRE investigating a Datadog alert to prepare an incident summary.

Input:

  • Datadog alert details (metric, thresholds, tags).
  • Relevant logs, traces, and recent deploy history.

Tasks:

  • Summarize what triggered the alert and which services or components are affected.
  • Correlate with recent deploys or config changes where possible.
  • Propose a probable root cause and immediate mitigation steps.

Output format:

  • Alert summary – metric, threshold, and impact.
  • Probable root cause – 1–2 paragraphs or bullet list.
  • Mitigation steps – numbered list of immediate actions.
  • Follow-up actions – bullet list for longer-term fixes or prevention.

Write in the style of an internal incident report that can be pasted into Linear or Notion.

4

Test and activate workflow

Replay last 20 incidents to benchmark triage quality against postmortems.

5

Monitor performance

Track MTTD, MTTR, and recurring alert patterns.

Pro tip

Attach runbook links in every generated incident summary.

Real metrics

Ops teams report reduced manual triage burden and faster incident context.

Datadog
Slack
Linear
Notion