Every incident starts the same way: engineers scrambling to connect signals across dashboards, sift through logs, and form a hypothesis, all under intense pressure.
This webinar dives into how Netdata AI automates that critical first hour of troubleshooting, transforming it from a manual grind into a structured, AI-assisted investigation.
In this 60-minute session, you’ll learn:
- How to architect a hybrid AIOps model combining on-agent ML and cloud-based LLMs. Why per-second telemetry is key for accurate automated analysis.
- How unsupervised anomaly detection at the edge enriches data for precise AI analysis.
- How AI-driven synthesis produces evidence-based incident briefs you can trust.
Who should attend:
SREs, DevOps and Platform Engineers, System Administrators, and anyone optimizing their monitoring and incident response workflows.
