Kubesense

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
  • MCP Integrations — Connect your own remote MCP servers so Agent SRE can use their tools
  • AI Root Cause Analysis — Automated root cause diagnosis and recommendations for any failed trace
  • 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