Databuff

Databuff brings AI-powered observability to cloud-native systems. Unlike traditional APM tools that report metrics passively, Databuff uses multi-agent AI to actively reason about your infrastructure, automatically detecting anomalies and explaining their root causes in natural language.

Highlights

• Natural language query interface for metrics, traces, and topology data
• Multi-agent AI system that performs intelligent root-cause analysis across services
• Automatic service topology mapping and RED metrics collection
• Extensible architecture with custom Skills and Tools for domain-specific analysis
• Support for multiple LLM providers including OpenAI, Anthropic, and DeepSeek

Databuff combines OpenTelemetry standards with AI reasoning to make observability more accessible. Instead of manually correlating metrics across services, teams ask questions in plain language and receive AI-generated explanations grounded in actual system data. Open-source and self-hosted, it's ideal for teams managing complex microservices who want intelligent, context-aware monitoring without vendor lock-in.