Datadog Anomaly Detection Agent
Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift. Integrates with PagerDuty and Slack webhooks for multi-channel incident routing.
What it does
Datadog Anomaly Detection Agent
Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift. Integrates with PagerDuty and Slack webhooks for multi-channel incident routing.
Installation
Use the upstream install or setup path that matches your environment:
- $ npm install dd-trace
- $ yarn add dd-trace
- $ npm install dd-trace@4 # or whatever version you need
- $ yarn add dd-trace@4 # or whatever version you need
Requirements and caveats from upstream:
-
dd-trace: Node.js APM Tracer Library
- dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off...
- Tracing Node.js Applications - most project documentation, including setup instructions
Basic usage or getting-started notes:
-
API Documentation - method signatures, plugin list, and some usage examples
-
Extracted from upstream docs: https://raw.githubusercontent.com/DataDog/dd-trace-js/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,363 chars)