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LatchLoop

Build Datadog agents for evidence-led incident triage

Narrow an active incident to affected services, evidence, hypotheses, and the next checks in order.

Example outcome

Prepare an incident brief with evidence, scope, and next checks.

Agent examples

Workflow guides for Datadog

2 guides

Build a timeline before choosing a cause

Datadog can give an agent monitor state, service metrics, traces, logs, deployments, and related events. Start with the incident window, affected service, environment, and user symptom. Ask the agent to build a timeline and identify the first confirmed divergence.

The result should distinguish evidence from hypotheses. A correlated deploy, latency increase, or downstream error is a lead, not proof by itself. Keep queries, trace IDs, log links, and timestamps next to conclusions.

Carry verified follow-up into Linear

Datadog supplies production evidence. Linear supplies engineering ownership and acceptance criteria. The combined workflow deduplicates existing issues, attaches the smallest useful evidence set, and creates remediation work only after the team separates immediate mitigation from longer-term prevention.

Combine plugins

Build richer agents by pairing Datadog with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Datadog as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

datadog
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