Drowning in Alert Noise
- 70-80% of alerts require manual investigation, overwhelming on-call engineers and delaying critical issue resolution across your observability stack.
AI-driven root cause analysis and remediation for your open-source observability
Reduce MTTR and prevent incidents from escalating into major outages that impact customer experience.
Team drowning in alert noise and spending 65% of time on manual investigation instead of strategic improvements.
Instant automated reporting and 90% faster incident detection delivers quantifiable improvements in team productivity.
Aiden is the intelligent layer your open-source observability stack has been missing. We transform your existing Grafana, Loki, Prometheus and Jaeger infrastructure from a data collection system to a proactive, intelligent operations platform with a natural language interface.
"Analyze firing alerts and provide recommended actions"
"Show me CPU usage trends for payment service over the last 24 hours"
"Find error patterns in authentication service logs from last week"
"Generate a weekly performance report for production services"
Reduce MTTR from hours to under 30 minutes - 50% faster root cause identification through AI-powered correlation of metrics, logs, and traces.
Automatically enrich and triage alerts with context, root cause analysis, and remediation steps - eliminating 70-80% of manual investigation time.
Detect issues in under 5 minutes vs 45-60 minutes manually - reducing MTTD by 90% with predictive analysis and intelligent monitoring.
Automate reporting and eliminate 10-15 hours/week of manual insights generation with instant, comprehensive observability reporting.
Aiden acts as an intelligent layer on top of your Grafana observability stack, transforming it from a data visualization tool into a proactive operations platform. Instead of manually writing PromQL queries or navigating dashboards, you can ask questions in plain English like "Show me CPU usage trends for the payment service over the last 24 hours" or "What error logs correlate with the latency spike at 3 PM yesterday?" Aiden automatically queries your Grafana datasources (Prometheus, Loki), analyzes the data, and provides actionable insights—reducing investigation time from hours to minutes.
Aiden currently integrates with Prometheus (for metrics) and Loki (for logs), the two most widely used datasources in Grafana deployments. This means Aiden can help you correlate metrics and logs across your entire observability stack, perform root cause analysis, analyze firing alerts, and investigate performance issues—all through natural language queries. Additional datasource support is planned for future updates.
No. Aiden is designed to work seamlessly with your existing Grafana infrastructure—no rip-and-replace required. You simply connect Aiden to your Grafana instance using an API token, and it immediately starts enhancing your observability workflows. Your dashboards, alerts, and existing configurations remain unchanged. Aiden complements Grafana by adding AI-powered querying, automated root cause analysis, and intelligent alert triage on top of your current setup.
Aiden accelerates incident resolution in three key ways:
Organizations using Aiden report MTTR reductions of up to 80% compared to manual Grafana workflows.
Aiden requires a Grafana API token with Editor permissions to query datasources and access the Explore feature. We recommend creating a dedicated service account specifically for Aiden with the minimum required permissions. For security best practices:
Detailed setup instructions and security guidelines are available in our integration documentation.