Jan 16
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Discover Observability 3.0, the next evolution of Application Performance Monitoring (APM) — powered by AI and LLMs. In this hands-on guide, learn how to integrate Claude AI (cloud-based) and Ollama (self-hosted) with open-source observability tools like Prometheus, Grafana, Loki, Tempo, and OpenTelemetry for real-time monitoring and root cause analysis. This video explains how AI-driven observability can detect anomalies faster, optimize performance, and revolutionize DevOps workflows. Explore how to build a complete AI-Powered Observability Stack using tools like MCP Server, n8n, PostgreSQL Exporter, Node Exporter, cAdvisor, and Alert Manager. If you’re into DevOps, SRE, or cloud engineering, this is your step-by-step path to mastering AI Observability 3.0 — bridging the gap between LLMs and monitoring systems. 📘 Based on the work by Cumhur M. Akkaya, this guide demonstrates real-world implementation of Claude, Ollama, and GrafanaToolServer for smarter monitoring. 👉 Stay ahead in the AI + Cloud revolution — learn how to make your observability stack intelligent. #Observability3 #AIPoweredAPM #ClaudeAI #Ollama #MCPServer #Prometheus #Grafana #Loki #Tempo #OpenTelemetry #DevOps #AIDevOps #LLMMonitoring #SelfHostedAI #CloudMonitoring #RootCauseAnalysis #PostgreSQLExporter #NodeExporter #cAdvisor #AlertManager #n8n #AIMonitoring #AIObservability #CloudOps #AIAutomation #SRETools #APMTools