The latest articles on DEV Community by Ai Solution Hub (@vijay_danielvijayibm). https://dev.to/vijay_danielvijayibm https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1915721%2F3d518d6c-bff8-4bcd-aa20-af6c2f701d88.png https://dev.to/vijay_danielvijayibm en Ai Solution Hub Thu, 01 Oct 2026 01:55:06 +0000 https://dev.to/vijay_danielvijayibm/building-an-aiops-agentic-ai-architecture-for-root-cause-analysis-and-safe-remediation-2moi https://dev.to/vijay_danielvijayibm/building-an-aiops-agentic-ai-architecture-for-root-cause-analysis-and-safe-remediation-2moi <p>What happens when your production environment starts generating hundreds of alerts at 3 AM?</p> <p>Payment gateway latency. JVM memory pressure. Kubernetes pod restarts. Disk alarms. Application errors.</p> <p>The challenge isn't simply detecting these alerts. The real challenge is understanding how they are related, identifying the underlying root cause, and deciding what action can safely be taken.</p> <p>In this video, I walk through an architecture for combining <strong>AIOps, Observability, and Agentic AI</strong> to address this problem.</p> <p>The architecture covers:</p> <ul> <li>OpenTelemetry for collecting application and infrastructure telemetry</li> <li>Kafka / Strimzi as the event streaming layer</li> <li>BigPanda for event normalization, correlation, and deduplication</li> <li>ServiceNow for incident management</li> <li>Agentic AI for investigation and Root Cause Analysis (RCA)</li> <li>Tool-based agents for gathering operational evidence</li> <li>Dependency and contextual analysis</li> <li>Human-in-the-loop approval</li> <li>Controlled and auditable remediation</li> </ul> <p>The important architectural principle is that the LLM should not simply be given access to production systems and told to "fix the problem."</p> <p>Instead, the AI operates through controlled tools, gathers evidence from multiple sources, reasons over the available context, and follows defined safety boundaries before any remediation action is performed.</p> <p>The video walks through the architecture layer by layer and explores what it takes to move from traditional monitoring and alerting toward AI-assisted investigation and safe remediation.</p> <p>🎥 <strong>Watch the architecture deep dive:</strong></p> <p> <iframe src="https://www.youtube.com/embed/6Jtc81S8pWI?start=319" width="710" height="399"> </iframe> </p> <p>This is aimed at Solution Architects, AI Architects, AIOps/SRE engineers, DevOps engineers, and anyone exploring Agentic AI for enterprise operations.</p> <h1> AIOps #AgenticAI #GenAI #Observability #SRE #AIArchitecture #RootCauseAnalysis #Kubernetes #OpenTelemetry #Kafka #DevOps </h1> ai architecture automation devops