Use Case
Incident Correlation
When an incident hits, SignalManager links alerts across Datadog, Sentry, and GitHub into a single timeline with root cause analysis. Stop hunting through four tools.
The Problem
A customer Slack message drops: “Payments are failing.” Your on-call engineer opens Datadog — CPU spike. Then Sentry — payment exception. Then GitHub — a config change merged 20 minutes ago. Are these related? As a manager watching from the incident channel, you have no way to know what is connected, who is looking at which piece, or how long resolution will take.
Correlating signals across four different tools during an active incident wastes precious minutes. By the time you piece together the timeline, the damage is done and the postmortem is already overdue.
The Solution
SignalManager automatically correlates alerts that fire within the same time window, builds a unified timeline, and highlights the most likely root cause based on sequence analysis.
- Automated correlation -- alerts from Datadog, Sentry, and GitHub matched by time and service
- Unified timeline -- every signal on one screen, ordered chronologically
- Root cause analysis -- AI identifies the triggering event so you fix the cause, not the symptoms
How It Works
Signals Stream In
Datadog monitors, Sentry errors, and GitHub events flow into SignalManager continuously via webhooks.
Correlation Engine Fires
When overlapping alerts are detected, SignalManager groups them into an incident and builds a timeline automatically.
Root Cause Surfaced
The AI analyzes the event sequence and highlights the most likely trigger -- a deploy, a config change, or a dependency failure.
Results
Faster mean time to resolution
Screen instead of four tools
Postmortem timeline generated for every incident
Root cause identified from event sequence
Find the root cause in seconds, not hours
Connect Datadog, Sentry, and GitHub to get correlated incident timelines automatically.