Honeycomb

Honeycomb

Observability platform for modern engineering teams to debug, monitor, and understand production systems

By Honeycomb.io

Observability Observability Monitoring Debugging

Product Overview

Honeycomb is an advanced observability platform that enables engineering teams to debug, monitor, and understand complex production systems through event-driven data analysis. It provides deep insights by correlating metrics, logs, and traces with high cardinality data, enabling faster root cause analysis and proactive monitoring.

Honeycomb empowers teams with powerful query and visualization tools that reveal hidden patterns in production environments. By supporting structured event data and flexible queries, Honeycomb enables rapid experimentation and debugging, improving system reliability and performance. Its integrations with popular cloud and monitoring tools help centralize observability data for comprehensive system insights.

Headquarters and Est. In

San Francisco, United States — Est. 2016

No. of Employees

201-500

Customer Demography

Global

Customer Domains

Technology Finance Retail Healthcare

Use Case Deep Dive

Interactive analysis dashboard - explore detailed performance insights for key business scenarios

Distributed Microservices Debugging

Identify root causes of latency and errors across complex microservices.

Real-Time Incident Response

Monitor and respond to production issues instantly with live data.

Cost Optimization Through Detailed Usage Analysis

Break down infrastructure costs by service and feature to optimize spend.

Multi-Cloud Observability Unified Dashboard

Centralize monitoring across diverse cloud providers and systems.

Application Performance Monitoring with User Journey Correlation

Trace application performance issues tied to specific user experiences.

Kubernetes Cluster Health Monitoring

Track the health and performance of Kubernetes clusters and workloads.

Root Cause Analysis via Correlated Logs and Metrics

Accelerate incidence investigation by correlating logs, metrics, and traces.

Custom Metrics Creation for Business Insights

Define custom calculated metrics for tailored business KPIs.

Security Monitoring and Compliance Auditing

Monitor security events and audit logs to detect anomalies and ensure compliance.

IoT Device Fleet Monitoring

Track performance and errors across millions of IoT devices in real time.

Key Features

Explore the core capabilities that make Honeycomb stand out.

Event-Driven Observability

Analyze complex system behavior through detailed event data capturing.

Core

High Cardinality Querying

Support for querying high cardinality datasets without performance loss.

Core

Trace and Span Correlation

Correlate distributed traces with event metrics to analyze end-to-end transactions.

Tracing

Powerful Query Builder

Interactive query interface with support for filters, groupings, and arithmetic.

Data Analysis

BubbleUp Visualizations

Visualize data with BubbleUp charts to quickly identify outliers and patterns.

Visualization

Real-Time Data Exploration

Query and visualize live data streams with low latency.

Core

Flexible Alerting

Set up complex alerts based on queries and thresholds.

Monitoring

High Dimensional Data Aggregation

Aggregate and summarize metrics across multiple dimensions seamlessly.

Data Analysis

Integrations with Logging and Tracing Tools

Connect Honeycomb with popular logging and tracing solutions.

Integration

Multi-Tenancy Support

Allow organizations to manage multiple teams with isolated data spaces.

Enterprise

Role-Based Access Control (RBAC)

Manage user permissions across projects and dashboards.

Security

API Access and SDKs

Programmatically interact with Honeycomb for custom workflows.

Extensibility

Rich Dashboard Customization

Build custom dashboards with configurable panels, filters, and variables.

Visualization

Support for Structured and Unstructured Logs

Ingest and query both structured and raw logs for unified troubleshooting.

Logging

Collaboration Workflows

Facilitates team collaboration through shared queries and dashboards.

Collaboration

Sample Rate and Data Retention Controls

Manage event ingestion rates and retention periods for cost optimization.

Cost Management

Built-In Query Templates

Predefined templates for common queries to speed up analysis.

Productivity

Support for Multi-Cloud and Hybrid Environments

Collect observability data across cloud providers and on-premises systems.

Integration

Auto-Detection of Service Dependencies

Identify and map service dependencies automatically from trace and event data.

Observability

Heatmaps and Histograms Visualization

Visual represention of metric distributions to detect anomalies and patterns.

Visualization

Advanced Filtering and Aggregation

Refine data views using multi-level filters and aggregation functions.

Data Analysis

Integration with Incident Response Tools

Connect alerts with tools like PagerDuty and Slack for streamlined on-call operations.

Integration

Secure Data Encryption and Compliance

Ensure data security with encryption in transit and at rest meeting regulatory standards.

Security

User-Friendly Onboarding and Documentation

Comprehensive guides, tutorials, and onboarding assistance for quick adoption.

Support

Custom Metrics and Derived Fields

Create custom metrics and manipulate data fields for tailored insights.

Data

Contextual Integrations

Not just "integrates with" – here's the specific value each integration delivers:

OpenTelemetry

Delivers: Open source observability framework for generating trace and metric data.

Jaeger

Delivers: Distributed tracing system for monitoring and troubleshooting.

PagerDuty

PagerDuty

Delivers: Incident response orchestrator for alerting and on-call management.

Slack

Slack

Delivers: Team collaboration platform with messaging and notification features.

Kubernetes

Kubernetes

Delivers: Container orchestration system for automating application deployment and scaling.

AWS

Delivers: Amazon Web Services cloud platform telemetry integration.

Resources

Latest insights, guides, and templates to accelerate your decisions.

Blog Posts

Recent5 min

Honeycomb Blog

Read

Downloads

Coming Soon-

Downloads coming soon

Resources and templates will be available soon

Download

Case Studies

Case StudyN/A

Case Studies

Read Study

Platform Updates

Coming Soon-

Platform updates coming soon

Latest updates and improvements will be shown here

View Update

Videos

Watch Honeycomb in action.

Honeycomb Overview

Honeycomb Overview

This video can't be played here because the owner has disabled embedding.

Watch on YouTube

Pricing & Plans

Pricing information available upon request. Contact our sales team for custom pricing tailored to your needs.

Frequently Asked Questions

Common questions about Honeycomb:

Honeycomb is used for advanced observability including monitoring, debugging, and troubleshooting of complex production systems through event data analysis.

Yes, Honeycomb supports distributed tracing and integrates with OpenTelemetry, Jaeger, and other tracing systems for end-to-end transaction analysis.

Honeycomb ingests high cardinality event data, structured and unstructured logs, metrics, and tracing data for comprehensive observability.

Yes, Honeycomb supports flexible alerting with integrations to tools like PagerDuty and Slack for incident management notifications.

Honeycomb is specifically designed to efficiently handle and query high cardinality datasets without sampling, enabling detailed and granular analysis.

Implementation Partners

Partners listed for Honeycomb and trusted teams available for implementation support.

No implementation partners are listed for this profile yet.

Want to implement Honeycomb for clients?

Create a partner owner account, build your partner profile, then apply to be featured here.

Become an Implementation Partner

Showcase your Software

Own a product? Create your profile and get reviewed for listing on The Software Showroom.

Showcase your Software