Your Infrastructure, Understood
RAG-powered DevOps intelligence that deeply understands your systems. Predict incidents before they happen, auto-generate runbooks from patterns, and reduce MTTR by 73% with intelligent context retrieval and Datadog MCP integration.
DevOps Knowledge That Thinks
Not just retrieval — intelligence. DevOps RAG combines semantic search with predictive analytics, auto-runbook generation, and native Datadog integration.
Predictive Analytics
Forecast potential incidents before they happen. Pattern analysis across logs, metrics, and traces detects anomalies and assigns risk scores to services proactively.
Auto-Generated Runbooks
Analyze incident patterns and automatically generate standardized runbooks with quality scoring, review workflows, and continuous improvement from feedback loops.
Semantic Log Analysis
Go beyond keyword search. RAG-powered log analysis understands context, correlates events across services, and surfaces actionable insights from system telemetry.
Datadog MCP Integration
Native integration with Datadog via Model Context Protocol (MCP). Query monitors, logs, traces, metrics, dashboards, and incidents — all through natural language.
Service Risk Scoring
Real-time risk assessment for every service. Combines anomaly detection, trend analysis, error rate spikes, and historical patterns into actionable risk dashboards.
Incident Context Engine
During incidents, automatically gather relevant context: recent changes, related services, historical patterns, and suggested remediation steps — in seconds, not hours.
Four-Layer Intelligence Pipeline
From raw data sources to actionable intelligence — each layer adds understanding.
Data Sources
Intelligence Layer
RAG Engine
Action Layer
Datadog MCP — Your Observability, AI-Native
Deep integration with Datadog via Model Context Protocol. Query monitors, search logs, analyze traces, inspect metrics, and manage incidents — all through natural language.
Tuned for Production Scale
| Metric | Value | Notes |
|---|---|---|
| Retrieval Latency (p95) | 1.8s | Vector search + re-ranking |
| Retrieval Accuracy | 99.2% | On production runbook corpus |
| Runbook Generation | <30s | Pattern → draft with quality scoring |
| Incident Prediction | 48hr lookahead | Anomaly detection + trend analysis |
| Knowledge Base | 25K+ chunks | Runbooks, post-mortems, docs |
| Datadog MCP Actions | 20+ | Monitors, logs, traces, metrics, RUM, etc. |
From Reactive to Proactive DevOps
Incident Response
When an alert fires, DevOps RAG instantly retrieves relevant runbooks, past incidents, and remediation steps. Engineers get context in seconds, not hours of log-diving.
Proactive Prevention
Predictive analytics analyze log patterns, metric trends, and service health to forecast potential incidents 48 hours ahead. Fix issues before users notice.
Knowledge Capture
Automatically extract operational knowledge from post-mortems, Slack threads, and tribal knowledge into searchable, citable intelligence. No more knowledge silos.
Get Early Access to DevOps RAG
Join our alpha program. Limited spots — we'll review applications and send API keys to approved users.