Fanout

Fanout is an observability platform that collects traces, logs, and metrics into a single self-hosted binary.

Fanout is a single-binary observability platform that handles OpenTelemetry traces, logs, and metrics without external storage services. It features a built-in investigation agent, an MCP server for external agents, dashboards, and alerts, all running from one data directory. The platform is designed for developers who want to investigate incidents using plain language queries or typed tools without managing complex multi-service stacks like Grafana or SigNoz. It supports OTLP ingest over gRPC and HTTP, local Parquet storage, and DuckDB analytics. AI capabilities require integrating with Anthropic or OpenAI API keys, while the software itself is self-hosted as a native binary or Docker container.

Fanout at a glance

Best for: Software engineer
Runs on: Linux, macOS, self-hosted, API
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/labstack/fanout

Key features

Ingest OTLP over gRPC and HTTP
Store telemetry in local Parquet files
Run analytics with DuckDB
Investigate telemetry using a plain language agent
Connect external agents via an MCP server
View dashboards for traces, logs, and metrics
Configure alerts on error rates, latency, throughput, and log volume

Use it for

Collect and store OpenTelemetry traces, logs, and metrics in one place
Investigate incidents using plain language AI queries
Connect external AI agents using Model Context Protocol
Monitor service error rates, latency, and throughput with built-in alerts

Alternatives to Fanout

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Coroot — Uses eBPF for zero-instrumentation monitoring with minimal overhead.
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VoltAgent — Offers open-source flexibility with built-in supervisor agent orchestration and RAG.
Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
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AiSOC — Runs locally without API keys with bundled models and auditable reasoning ledgers.
OpenLLMetry — Integrates into applications with just two lines of code.
Robusta — Reduces costs and noise by investigating unique incidents instead of raw alerts.

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