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Honeycomb
AI Observability
Freemium

Honeycomb

Modern observability for distributed systems and AI. Use AI-assisted debugging and high-cardinality data exploration to resolve incidents and optimize performance in real-time.

Rating
0
Reviews
0
Upvotes
3 months ago
Listed
AI observability
Distributed Tracing
Log Management
Performance Monitoring
DevOps Tools
Incident Response
OpenTelemetry
Error Tracking
Cloud Monitoring
LLM Observability
Tool information
Provider
Honeycomb.io
Platforms
Web
API
MCP Server
Languages
English
API Available
Yes
Added to directory
3 months ago
Last updated
about 1 month ago
Rating
Not available
Pricing
Freemium

About Honeycomb

What the tool does and who it's for

Honeycomb is a modern observability platform designed to handle the complexity of distributed systems and AI-driven applications. Unlike traditional monitoring tools that rely on pre-aggregated metrics, Honeycomb allows engineers to explore high-cardinality data in real-time, pinpointing the root cause of 'unknown unknowns' across traces, logs, and metrics. It features 'Honeycomb Intelligence,' including an AI-assisted copilot called Canvas that helps users generate queries and visualize data relationships through natural language. With native OpenTelemetry support and an event-based pricing model, it enables teams to instrument their entire stack without being penalized for adding custom attributes or scaling their data volume.

Key capabilities

Canvas AI Copilot: Use natural language to generate complex queries and visualize system behavior.
High-Cardinality Exploration: Drill down into specific users, IDs, or versions without data aggregation.
BubbleUp: Automatically surface outliers and anomalies to identify what makes a specific subset of traffic different.
OpenTelemetry Native: First-class support for OTel, ensuring no vendor lock-in for your instrumentation.
Service Level Objectives (SLOs): Align engineering efforts with business goals and focus on meaningful alerts.
Distributed Tracing: Visualize the end-to-end journey of requests across complex microservices and AI agents.
Refinery: A tail-based sampling proxy that helps manage data volume while keeping high-value traces.
LLM Observability: Specific tools to monitor nondeterministic behavior and multi-step agent workflows.
Honeycomb MCP: Access observability data directly within AI-powered IDEs and agent environments.

Pricing

Freemium — plans below

Free

$0

  • Up to 20M events per month
  • Unlimited users
  • Distributed Tracing
  • BubbleUp outlier detection
  • Honeycomb Intelligence (Canvas AI)
  • 60 days data retention

Pro

Most popular

$130/mo

  • Starting at 100M events per month
  • Everything in Free
  • 2 Service Level Objectives (SLOs)
  • Single Sign-On (SSO)
  • Up to 1.5B events per month scaling
  • Standard support

Enterprise

Contact sales

  • Variable event volume
  • 100+ SLOs
  • Service Map & Activity Logs
  • AWS PrivateLink support
  • Refinery Enterprise support
  • Query Data & SLO Reporting APIs

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