Meet Canvas: Your AI-guided Workspace Within HoneycombLearn more

AI-powered observability with Honeycomb Intelligence

Make every engineer an expert, every investigation interactive, and every insight actionable. From giving AI agents high-speed access to terabytes of observability data to machine learning algorithms that proactively identify critical performance anomalies, Honeycomb Intelligence helps every engineer do their best work.

Honeycomb Intelligence

Cut through complexity with AI guidance

Speed up MTTR

AI-assisted investigations surface "unknown unknowns" that rapidly identify causes of application performance degradation or downtime, turning chaotic incident response into confident, guided investigations.

Minimize context switching

Bring terabytes of observability data right into AI IDEs like Claude, Cursor, and Amazon Kiro so engineers can troubleshoot production issues without leaving their development environment.

Effective early warnings

Overcome complexity of modern architectures (Kubernetes, multi-cloud, microservices, multiple codebases) by having Honeycomb automatically surface genuine performance issues without any configuration required.

See it in action

Canvas is an AI-guided workspace inside Honeycomb that turns production signals into confident action. Instead of forcing engineers to manually piece together queries, Canvas suggests the next steps that will help uncover the answers.

Observability built for the future of software

Honeycomb Intelligence makes every engineer an expert, every investigation instant, and every insight actionable. Compatible with OpenTelemetry, your AI agents can draw on open-source standards they've seen before to improve instrumentation and run useful queries for you.

Transform complexity into confident action

Honeycomb Canvas is an AI co-pilot that explores observability with you, asks clarifying questions, highlights where to dig deeper, and allows you to share snapshots with anyone in the organization. 

Accelerate debugging and code delivery

Honeycomb's hosted MCP server lets AI-powered IDEs (Cursor, Claude Code, Amazon Q Developer) directly query, analyze, and visualize your observability data—including traces, triggers, and SLOs—using natural language.

Automatically detect performance anomalies

Anomaly Detection transforms your observability from reactive firefighting to proactive protection by intelligently learning what "normal" looks like for your specific applications and automatically surfacing genuine issues.

Existing observability solutions simply are not built for the AI era, where speed, interactivity, and scale are paramount.

With Honeycomb Intelligence, we are redefining what is possible. Every engineer becomes an expert, every investigation becomes interactive, and every insight becomes actionable.

Emily Nakashima
SVP of Engineering
Emily Nakashima