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AIOps Lab Day-01: Detect CPU Anomalies Using Prometheus, Grafana & ML | Rajinikanth Vadla

github repo: https://github.com/rajinikanthvadla-ai

🚀 Welcome to Day-01 of the AIOps Lab Series!
In this video, Rajinikanth Vadla walks you through a real-time, hands-on AIOps lab for CPU anomaly detection using Prometheus, Grafana, and Machine Learning.

Learn how to: ✅ Monitor CPU metrics like a pro
✅ Detect anomalies using real-world ML techniques
✅ Automate incident detection in DevOps environments
✅ Set up dashboards that tell you what’s wrong before it happens!

🔍 This lab is perfect for:

DevOps Engineers

SREs

MLOps Professionals

IT Automation Enthusiasts

Anyone who wants to master AI-driven Observability & Monitoring

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Видео AIOps Lab Day-01: Detect CPU Anomalies Using Prometheus, Grafana & ML | Rajinikanth Vadla канала Rajinikanth Vadla
AIOps, DevOps, MLOps, Prometheus monitoring, Grafana dashboard, anomaly detection, CPU monitoring, AIOps tutorial, Rajinikanth Vadla, AI in DevOps, IT Automation, real-time anomaly detection, machine learning in ops, observability tools, SRE, smartops, how to detect cpu anomalies, ml based monitoring, prometheus grafana lab, AIOps explained, cpu anomaly detection, ai-driven monitoring
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