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Honeycomb

Observability platform for distributed tracing, logs, metrics and LLM/AI agent monitoring

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Honeycomb is an observability platform built around distributed tracing and a high-cardinality, event-based data model. Structured log events serve as the foundation from which logs, metrics and traces can be derived, letting engineers query production data in real time without sampling or pre-aggregation. The platform is designed to help teams investigate production issues and understand how services behave for end users.

Core capabilities include a query engine, heatmaps, BubbleUp outlier analysis, SLOs, triggers, a service map and trace waterfall views. AI-assisted features include Canvas, an AI copilot for automated investigations with natural-language querying, the Honeycomb MCP server for IDE access, Agent Timeline for tracing multi-agent and LLM conversations, and anomaly detection. Honeycomb is OpenTelemetry-native and integrates with modern languages, frameworks, databases, cloud providers and SaaS applications.

Honeycomb is aimed at engineering, operations and SRE teams, including those operating AI agents and LLM workloads. It is packaged as a free introductory plan with usage limits, a Pro plan with monthly or annual subscription, and a custom Enterprise plan with variable volume. Pricing is based on event volume and metrics data points, with unlimited seats and unlimited querying; add-ons cover frontend performance analysis, enterprise alerting and onboarding services.

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