Honeycomb provides a full-stack observability platform that integrates logs, metrics, and traces using OpenTelemetry, enabling engineering teams to capture and analyze telemetry data without incurring additional costs. This approach allows teams to quickly identify and resolve issues in production systems, enhancing performance and reliability before they impact end users.
Funding
$146.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern software systems generate vast amounts of telemetry data, including logs, metrics, and traces, which are often siloed and difficult to correlate. Traditional monitoring tools can be expensive and limit the ability to explore data with sufficient context, hindering effective troubleshooting and performance optimization.
Solution
Honeycomb offers a full-stack observability platform that unifies logs, metrics, and traces into a single, integrated data store. The platform allows engineering teams to capture and analyze telemetry data with unlimited dimensionality, enabling them to quickly identify and resolve issues in production systems. Honeycomb's query engine delivers fast results, facilitating dynamic and explorable visualizations that empower investigation and collaboration across teams. By providing a unified view of system behavior, Honeycomb helps teams improve software experiences and maintain world-class reliability.
Target Audience
Honeycomb is designed for engineering teams, including frontend, backend, and DevOps engineers, who need to monitor and improve the performance and reliability of their software systems.
Features
- Unified data store for logs, metrics, and traces, enabling correlation of telemetry data
- OpenTelemetry compatibility for seamless data ingestion
- Unlimited dimensionality for adding context to telemetry data without incurring extra costs
- Fast query engine for rapid analysis and troubleshooting
- Dynamic visualizations and insights for exploring data and identifying patterns
- Shareable queries and investigations for cross-team collaboration
- Event-based pricing model based on event volume