- Starting price
- 150/mo
- Pricing
- Free plan
- Website
- www.honeycomb.io
About Honeycomb
Honeycomb is an AI-ready observability platform built for engineering teams who ship code into production. It helps trace distributed services and debug AI workflows, giving teams a clear view of what end users experience.
Key Features
In production, teams rely on Honeycomb to understand runtime behavior and isolate issues across complex AI and traditional services:
End-to-end tracing
Trace requests across microservices to see how user actions propagate and where latency or errors occur.
AI workflow debugging
Inspect non-deterministic AI steps in production to understand variations in outcomes.
Ad-hoc event queries
Run fast, flexible queries against production events to investigate individual sessions and edge cases.
Integrations with collaboration tools
Share observations in Slack or Intercom and route findings into incident workflows.
Summary
Best for SREs and platform teams, backend engineers, and ML/AI teams debugging production workflows.
Pricing
View pricingPlans and prices as listed on honeycomb.io as of Sep 24, 2026.
Free
0 / monthly
- Event Volume: Up to 20M per month
- Metrics Data Points: Up to 100M per month
- 2 Triggers
- Distributed Tracing
- BubbleUp
- OpenTelemetry Support
- Team Query History
- Query Result Permalinks
- Honeycomb Metrics
- Canvas AI Copilot
- Honeycomb MCP
- Agent Timeline
Pro
150 / monthly
- Event Volume: Up to 750M per month
- Metrics Data Points: Up to 3.75B per month
- All features from the Free Plan
- 100 Triggers
- 2 Service Level Objectives (SLOs)
- Single-Sign On (SSO)
- Honeycomb Support
- Monthly or Annual Subscription
Enterprise
custom / variable
- Event Volume: Variable
- Metrics Data Points: Variable
- All features from the Pro Plan
- Starts with 300 Triggers
- Starts with 100 SLOs
- Service Map
- Enterprise Support for Refinery
- Enterprise-Grade Support + Onboarding
- Query Data API
- AWS PrivateLink
- SLO Reporting API
- Support for Honeycomb Private Cloud
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