OpsPulse Sentinel

Modern enterprise infrastructure generates millions of log events daily. Current AIOps tools like Datadog detect anomalies statistically but cannot explain why failures happen based on system architecture. Senior engineers still spend 90 minutes manually performing root cause analysis during critical downtime. OpsPulse Sentinel is an LLM-native agent powered by Gemini 3.1 that bridges this semantic gap. It runs a two-stage pipeline: Gemini Flash-Lite filters raw telemetry noise, then Gemini Pro reasons across filtered anomalies, deployment history, and cluster architecture simultaneously to identify the true root cause — not just the service with the most errors. The agent demonstrated this by correctly identifying Redis-Cache as the root cause of a system-wide outage, despite PostgreSQL generating all the FATAL logs. It separated symptom from cause through architectural reasoning — something no statistical tool can do. Every diagnosis produces a structured JSON output with a confidence score, chronological evidence chain, and an exact kubectl or helm command ready to execute. A human approval gate blocks automated remediation below a 75% confidence threshold, ensuring enterprise-grade governance. Built with Gemini 3.1 Pro and Flash-Lite, ChromaDB vector memory for historical incident retrieval, Pydantic schema enforcement for structured output, and a Streamlit dashboard for human-in-the-loop control.