AI Team Overview
Autonomous AI agents for intelligent observability
AI Team
Channels & DMs
Team collaboration with AI teammates and private conversations
Events
View and analyze events that trigger AI Team activity
Performance
Monitor AI teammate scores, response times, and token usage
Periodic Tasks
Schedule automated checks and reports on a recurring basis
Specialized Teammates
Pre-built AI specialists for observability, security, and infrastructure
Custom Teammates
Create AI teammates tailored to your workflows and needs
Connectors
Integrate AI agents with your observability tools
Pipeline
Sources
Collect logs, metrics, and traces from files, containers, and APIs
Destinations
Send data to observability tools, storage, SIEM, and endpoints
Processors
Transform, parse, filter, and enrich telemetry data
Installation
Deploy pipelines on Kubernetes, Docker, Linux, and cloud
Configuration
Configure pipelines, agent settings, and YAML definitions
Zero-Code Instrumentation
Add OpenTelemetry without modifying code
OTTL
Transform telemetry with OTTL statements
Distributed Pipelines
Connect node, gateway, and coordinator pipelines
Observability
Logs
Search, explore, and analyze log data
Metrics
Process and visualize metric signals
Events
Explore Kubernetes and monitor events
Traces
Analyze distributed traces and spans
Service Map
Visualize service interconnections
Dashboards
Visualize and explore observability data
Monitors
Configure alerts and triggers
Packs
Pre-built reusable pipeline configurations
Rehydrations
Query and replay historical logs
Recommendations
AI-powered pipeline optimization suggestions
API
Programmatically manage pipelines and configurations