Use Case
Incident Correlation
When an incident hits, SignalManager AI ingests alerts via MCP server or REST API from Datadog, Sentry, and GitHub into a single timeline. Your AI model performs 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 AI ingests alerts via MCP server or REST API, automatically correlates signals that fire within the same time window, builds a unified timeline, and your AI model 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
Connect via MCP or API
Datadog monitors, Sentry errors, and GitHub events flow into SignalManager AI continuously via MCP server, REST API, or webhooks.
Correlation Engine Fires
When overlapping alerts are detected, SignalManager AI groups them into an incident and builds a timeline automatically.
Your AI Finds the Root Cause
Your AI model 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
Explore More
Find the root cause in seconds, not hours
Connect Datadog, Sentry, and GitHub into one platform. Get correlated incident timelines, prioritized by revenue impact.