Cleric is an AI-powered Site Reliability Engineer (SRE) teammate designed to help engineering teams quickly diagnose production issues in complex cloud-native environments. It autonomously root causes alerts from production applications without requiring manual runbooks.
Key Features:
- Autonomous Root Cause Analysis: Cleric automatically triages and identifies the root cause of alerts, reducing the time spent on investigations.
- Integration with Existing Tools: It integrates with popular tools like GitHub, Google Cloud, AWS, Kubernetes, PagerDuty, Slack, Datadog, OpenSearch, Grafana, Confluence, Prometheus, and Jaeger.
- Adaptive Learning: Cleric is trained on a vast array of production issues and best practices and is designed to adapt and learn from each unique enterprise environment.
- Closed-Loop Infrastructure: Aims to create a system where machines operate machines, reducing the reliance on human operators for large-scale production environments.
Use Cases:
- On-Call Support: Frees on-call engineers from time-consuming investigations by providing automated triage and root cause analysis.
- Proactive Issue Detection: Helps identify potential issues before they escalate into major incidents.
- Improved System Reliability: By quickly resolving production issues, Cleric helps improve the overall reliability and stability of applications.
