Discover ways to investigate your data. Find data to analyze, identify and investigate trends and outliers, and correlate changes in data to incidents. Then collaborate with your team by sharing your findings.Documentation Index
Fetch the complete documentation index at: https://docs.honeycomb.io/llms.txt
Use this file to discover all available pages before exploring further.
Investigate with AI
Ask Questions with Canvas
Ask questions about your telemetry in natural language and get interactive visualizations back.
Canvas combines conversational AI with Honeycomb’s query engine to speed up investigations.
Investigate Alerts with Canvas
Jump from a firing Trigger or SLO alert directly into an AI-powered Canvas investigation that automatically queries your data and surfaces the likely cause.
Honeycomb Model Context Protocol (MCP)
Connect AI agents to your Honeycomb observability data using the Honeycomb MCP server, an implementation of the open Model Context Protocol standard.
Agent Skills for AI Coding Assistants
Give your AI coding assistants deep knowledge of observability, OpenTelemetry instrumentation, production debugging, and Honeycomb features.
Observe
View General Health
Get a snapshot of your dataset in Honeycomb Home: commonly-used queries, recent traces and events, and key visualizations to orient on system health fast.
Custom Workspaces
Create centralized workspaces in Honeycomb to organize queries, monitor SLOs, collaborate with teammates, and save visualizations for reuse and sharing.
Frontend Launchpad
Monitor and investigate frontend web application performance with pre-populated charts and tables tailored to browser telemetry.
Service Map
Map traffic flow across your services, spot dependencies, and drill into individual service relationships with Honeycomb’s Service Map.
Query
Build a Query
Construct queries to ask powerful questions, and find and analyze data from scratch. Build queries manually or from natural language.
Query Examples: Traces
Explore example queries of trace data to use as inspiration when analyzing the performance and behavior of your applications.
Query Examples: Metrics
Explore example queries of metrics data to use as inspiration when analyzing the performance and behavior of your systems.
Customize Results
Customize how you interact with your data. Customize the display of your query results and annotate with markers to identify points in time.
Analyze
Explore Traces
Explore the deep context of what happened when an action occurred.
Explore Events
Explore a query’s underlying events within a specific timeframe.
Visualize Events Over Time
Expand your data over two dimensions.
Identify Outliers
Analyze and rapidly identify the cause of outliers by highlighting unusual events.
Correlate
Correlate your queries with metrics.
Collaborate
Share a Trace
Create links that open traces directly in Honeycomb, so you can jump straight from another tool into the trace waterfall view.
Share a Query
Create parameterized links to generate new queries that you can share or link to from third-party tools.
Explore Team Query History
Search through your own query history and those of your teammates to learn how a problem was solved previously.
Diagnose
Investigate Application Data in Honeycomb
Explore and analyze data you collect from applications to understand your system’s overall health and to troubleshoot problems when they arise.
Investigate Log Data in Honeycomb
Explore and analyze data you collect from logs to understand your system’s overall health and to troubleshoot problems when they arise.
Investigate Kubernetes Data in Honeycomb
Explore and analyze data you collect from Kubernetes to understand your system’s overall health and to troubleshoot problems when they arise.
Investigate Amazon Web Services (AWS) Data in Honeycomb
Explore and analyze data you collect from Amazon Web Services (AWS) to understand your system’s overall health and to troubleshoot problems when they arise.