Hound Technology, Inc.
Honeycomb helps engineering teams of humans and agents understand their software in production. Its observability platform unifies high-cardinality telemetry, distributed tracing, logs and metrics with fast investigation workflows for reliable software and AI systems.
At a Glance
- Software and technology companies
- Financial services
- Retail and e-commerce
- AI startups
- +2 more
AI Tools by Hound Technology, Inc.
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Honeycomb
Production Observability for Engineers
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Latest News
Honeycomb unveiled AI Ecosystem and new Canvas MCP connectors to provide fleet-wide AI-agent health, cost and investigation context.
Honeycomb released the second edition of Observability Engineering, updated for AI-era software development.
Honeycomb and Cloudelligent announced a strategic partnership to modernize AWS-native organizations with enterprise observability.
Honeycomb launched Agent Observability for production agentic workflows, including Agent Timeline, Canvas Agent and Skills.
Products & Services
Unified, OpenTelemetry-native observability for high-cardinality events, distributed traces, logs and metrics, with fast exploratory querying and investigation.
Trace waterfalls, event-based analysis, heatmaps, BubbleUp, SLOs and fast queries across billions of log lines and high-cardinality data.
AI-native investigation and collaboration capabilities that help engineers investigate faster and resolve incidents with clarity.
Shared AI-assisted workspace for natural-language investigations, automated investigations, skills and collaborative debugging.
Market Position
Honeycomb positions itself against legacy monitoring and APM tools by retaining high-cardinality event data in a unified model, avoiding sampling and pre-aggregation, and enabling fast exploratory investigation rather than only predefined dashboards. It competes in observability with vendors such as Datadog, New Relic, Dynatrace, Splunk, Grafana Labs and Elastic, while emphasizing OpenTelemetry, developer experience and AI/agent observability.
Leadership
Founders
Charity Majors
Operations and distributed-systems engineer; built and managed large distributed systems at Linden Lab (Second Life), Parse (acquired by Facebook), and Facebook. Honeycomb's co-founder and CTO; co-author of Observability Engineering and Database Reliability Engineering.
Christine Yen
Developer and software engineer who built analytics products at Parse/Facebook before founding Honeycomb; co-founder and CEO.
Executive Team
Christine Yen
CEO and Co-founder
Built analytics products at Parse/Facebook before founding Honeycomb.
Charity Majors
CTO and Co-founder
Pioneered modern observability; previously built and managed distributed systems at Parse/Facebook and Linden Lab.
Board of Directors
Founding Story
Honeycomb was started by an ops engineer and a developer who encountered the same production problem but could not agree whether it was the application's or infrastructure's fault. They created Honeycomb from first principles to give developers, operations, SREs and now AI agents a shared, honest view of what software is doing in production, rather than relying on the assumptions built into legacy monitoring.
Business Model
Revenue Model
Cloud observability subscriptions priced primarily by monthly event volume and metrics data points, with enterprise volume discounts, add-ons, support and private-cloud offerings; customers can start with a free plan or request an enterprise quote.
Pricing Tiers
Free forever; up to 20 million events per month and 100 million metrics data points per month.
For production teams; up to 750 million events per month and 3.75 billion metrics data points per month; monthly or annual subscription.
Variable event volume, volume discounts, enterprise support/onboarding and add-ons; enterprise plans start with a base allowance of 10 billion events per year.
Target Markets
- Software and technology companies
- Financial services
- Retail and e-commerce
- AI startups
- Cloud-native engineering organizations
- Enterprise DevOps, SRE and platform teams
- Production debugging and incident response
- Distributed systems and microservices observability
- LLM and AI-agent observability
- Application performance and frontend observability
- Log analytics and custom metrics
- SLO-based reliability monitoring
- Slack
- Intercom
- Booking.com
- Heroku