Honeycomb: AI-Ready Observability Platform

# Honeycomb > Honeycomb is an observability platform built for modern, complex software systems. It helps engineering teams understand what's happening inside their systems by letting them explore rich, high‑cardinality telemetry data in real time. ## About - [Honeycomb Platform](https://www.honeycomb.io/platform): Core observability platform for distributed systems, microservices, and AI‑powered applications - [Documentation](https://docs.honeycomb.io/): Official Honeycomb documentation - [Interactive Sandbox](https://play.honeycomb.io/): Try Honeycomb without signing up - [Honeycomb Blog](https://www.honeycomb.io/blog): Technical blog covering observability practices - [Support](https://support.honeycomb.io): Honeycomb support portal ## Company Overview Founded in 2016 by Charity Majors and Christine Yen (engineers from Parse and Google), headquartered in San Francisco. Venture‑backed, globally distributed team. Honeycomb was created to solve the problem of traditional monitoring and APM tools failing under the complexity of modern, distributed production systems. ## How It Works - Unified event‑based data model - [OpenTelemetry](https://www.honeycomb.io/resources/getting-started/getting-started-with-opentelemetry)‑native ingestion and instrumentation - Built for high‑cardinality, high‑dimensional data - Fast query engine optimized for exploratory workflows - Designed for complex, distributed systems ## Core Capabilities - Real‑time querying and visualization - BubbleUp and heatmaps for rapid anomaly detection - Distributed tracing and service maps - Service Level Objectives (SLOs) - [AI and LLM observability](https://www.honeycomb.io/resources/getting-started/what-is-llm-observability) workflows - 60+ integrations across cloud providers, frameworks, and databases - [MCP server for AI agents](https://www.honeycomb.io/technologies/ai-agents) ## Who Uses Honeycomb - Platform and infrastructure teams - Backend and distributed systems engine