Features
eBPF-based auto-instrumentation for logs, metrics, traces, profiling, K8s events, deployment context
Autonomous AI issue detection and root cause analysis (RCA)
AI-powered alert investigation with full RCA and evidence
Deployment verification: pre- vs post-deployment telemetry comparison
Unified query language across all signals (MetoroQL)
Custom dashboards with widgets and variables
Continuous CPU/memory profiling per process with flame graphs
Kubernetes resource viewer and event history
Cost monitoring for workload allocation and waste
Uptime monitoring with HTTP/TCP health checks and status pages
Cron job monitoring for missed or failed runs
PromQL dashboard queries (alpha)
Integration with OpenTelemetry and Prometheus for external data
Git SHA to workload mapping for deployment context
Automated remediation workflows and fix PRs
Distributed tracing for LLM agents
Capture prompts, retrievals, tool calls, outputs
Human annotations on traces
Create datasets from traces
Run experiments to compare changes
OpenTelemetry-native instrumentation
Self-host locally, Docker, or Kubernetes
Cloud instances with free tier
Vendor agnostic: any model or framework
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