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On the recordRead 11 Oct 202621 facts
DataBuff
On the record
- Agent access
- Cursor, Claude Code, and OpenClaw/AMC can connect as external agents through the MCP endpoint.databuff.ai · read 11 Oct 2026
- AI analysis
- Its AI can query traces, metrics, topology, and alerts, inspect services, and analyze incidents.databuff.ai · read 11 Oct 2026
- AI features
- Its AI platform can query metrics, traces, topology, and alerts in natural language, inspect services, and analyze incidents.databuff.ai · read 11 Oct 2026
- AI setup
- The installation guide says to enter an API key in Model Settings to enable AI.databuff.ai · read 11 Oct 2026
- Alert notifications
- DataBuff can send alert events as JSON HTTP POST requests to a configured webhook URL.databuff.ai · read 11 Oct 2026
- APM features
- The product includes distributed tracing, service metrics, automatically generated service topology, and alerting.databuff.ai · read 11 Oct 2026
- Architecture
- The product overview describes a three-component architecture of ingest, storage, and platform.databuff.ai · read 11 Oct 2026
- Deployment
- The maker documents Docker and Kubernetes installation, with a recommended minimum of 8 CPU cores and 16 GB RAM for each installation guide.databuff.ai · read 11 Oct 2026
- External systems
- The maker documents connecting external MCP services such as SkyWalking, Prometheus, and Zabbix to AI experts.databuff.ai · read 11 Oct 2026
- Ingestion
- DataBuff Ingest accepts OTLP traces, metrics, and logs over gRPC and HTTP.databuff.ai · read 11 Oct 2026
- Integrations
- External AI agents including Cursor and Claude Code can connect through MCP to call DataBuff APM tools.databuff.ai · read 11 Oct 2026
- Intended users
- The product overview describes use cases including teams seeking quick APM deployment, conversational troubleshooting, and self-hosted AI operations capabilities.databuff.ai · read 11 Oct 2026
- Login security
- The open-source Web application uses a built-in seed account by default, and credentials can be overridden through environment variables.databuff.ai · read 11 Oct 2026
- Monitoring
- Its APM features include distributed traces, service metrics, service topology, and alerting.databuff.ai · read 11 Oct 2026
- Pricing information
- The opened maker pages describe DataBuff as open-source but do not state a product price or commercial plan.databuff.ai · read 11 Oct 2026
- Product
- DataBuff describes itself as an open-source, AI-native OpenTelemetry APM for application performance monitoring and distributed tracing.databuff.ai · read 11 Oct 2026
- Requirements
- The Docker installation guide recommends a host with 8 CPU cores and 16 GB RAM.databuff.ai · read 11 Oct 2026
- Security
- The documented MCP MVP has no dedicated API token, and the guide recommends using an intranet, VPN, or reverse proxy.databuff.ai · read 11 Oct 2026
