AgentSRE Intelligence
KubeSense AgentSRE brings AI-powered intelligence to your observability workflow — from automated error grouping and anomaly detection to an AI assistant that can investigate incidents and perform root cause analysis.
- AI Error Analytics — Automated error grouping, classification, and drill-down across traces and infrastructure
- AI Anomalies — ML-based anomaly detection by learning traffic baselines over time
- Conversations — Chat with Agent SRE to investigate your infrastructure in natural language
- Investigations — Deep, multi-step automated investigations that trace an issue to its root cause
- Integrations — Connect Confluence, Jira or your own MCP servers so Agent SRE can read runbooks, tickets and tools during investigations
- AI Root Cause Analysis — Automated root cause diagnosis for a failed trace span or a recorded issue
- MCP Server — Connect AI assistants to your Kubernetes telemetry via the Model Context Protocol
- Migrating Datadog Alerts — Convert existing Datadog monitors into native KubeSense alert rules with the AI alert assistant
- Migrating Datadog Dashboards — Convert an exported Datadog dashboard JSON into a KubeSense dashboard with the AI dashboard-generator skill