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Honeycomb Changelog

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Honeycomb Changelog Observability

Authorize multiple teams through OAuth.

New When authorizing an MCP client to the Honeycomb MCP Server, you may now select multiple teams at once. Each team can have unique read/write permissions. If multiple teams are selected, your agent will need to pass a team parameter when making tool calls to disambiguate.

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Honeycomb Changelog Observability

Filters are live for your Agent Conversations

Improvement Filter by any custom attribute - email, user ID, agent name, and more to land on the Conversations that matter. It's the fastest path from "here are all of my Conversations" to "here's the one Agent Conversation I need to debug."

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Honeycomb Changelog Observability

Activity Log is now generally available

New Activity Log has graduated from beta and is now generally available for Honeycomb Enterprise customers. Activity Log gives you a detailed record of user activity and resource changes in Honeycomb — who changed what, and when. Since launching in open beta, teams have been using it for: Change investigation: Trace account changes, or configure alerts on critical updates via - Triggers on Activit…

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Honeycomb Changelog Observability

Usage notifications can now be sent to any email address

Improvement When configuring who receives usage notifications, you can now send them to any email address — not just Honeycomb team members. This opens up broader integration possibilities, such as: Routing usage notifications to a Slack channel via a channel email address Sending notifications to a shared team alias or distribution list Forwarding usage alerts into other platforms that accept inb…

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Honeycomb Changelog Observability

Agent Timeline is GA!

New Agent Timeline gives you visibility into your multi-agent, multi-trace AI workflows - LLM calls, tool invocations, token, messages, and failures, all in one place. Here's what's included: Conversations View: browse agent conversations across the last 60 days with agents, tool calls, tokens, P95 latency, and failure counts at a glance Agent Timeline: open any conversation to see duration, model…

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Honeycomb Changelog Observability

Introducing the new Canvas

New This release brings a redesigned investigation surface built for how teams work today: with multiple humans and multiple agents collaborating on the same investigation in real time, agents that act autonomously when alerts fire, executable knowledge that teaches them how your systems work, and connections to the tools where your code lives. Auto-investigations When a trigger fires, an SLO burn…

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Honeycomb Changelog Observability

BubbleUp Insights

New BubbleUp Insights analyzes your BubbleUp results for you to quickly surface notable differences and potential root causes in your data. Insights will load automatically when running a BubbleUp in Query Results for all teams opted in to the Honeycomb Intelligence Terms. You can still analyze and interact with BubbleUp yourself using the charts below the Notable Differences section.

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Honeycomb Changelog Observability

Dark Mode

New Honeycomb is now easier on the eyes during late-night incidents. Honeycomb now supports dark mode across the entire product. It follows your system preference automatically or you can toggle it manually in the left nav.

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Honeycomb Changelog Observability

Ask Canvas: Now in Beta

New With Ask Canvas, you can ask questions about the data you're looking at in Honeycomb! For example, ask "tell me about this query" for an instant plain-language summary of your query and results. Canvas chat is context-aware, so you can skip straight to the interesting questions. Ask Canvas is available on most pages in Honeycomb. To get started: Click "Ask about this data" at the bottom of any…

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Honeycomb Changelog Observability

Honeycomb Canvas Slack App: Now in Beta

New Honeycomb Canvas is a new Slack app that lets your team ask questions of your Honeycomb data without leaving Slack. Mention it in any channel to investigate a production issue, explore a service, or get a quick answer — no context-switching required. Example questions. you can ask: @Honeycomb Canvas what's the error rate for the auth service today? @Honeycomb Canvas show me p99 latency for che…

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Honeycomb Changelog Observability

Gen AI tab on Traces

New When investigating traces from a generative AI agent or application, the trace sidebar now includes a dedicated Gen AI tab that surfaces AI-specific context alongside the standard Fields, Span Events, and Links tabs. In the Gen AI tab, you can see what messages were exchanged, what model was used, how many tokens were consumed, and if response quality evaluations passed without manually scanni…

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Honeycomb Changelog Observability

Introducing @Honeycomb Canvas in Slack

New Honeycomb Canvas is a new Slack app that lets your team ask questions of your Honeycomb data without leaving Slack. Mention it in any channel to investigate a production issue, explore a service, or get a quick answer — no context-switching required. Example questions. you can ask: @Honeycomb Canvas what's the error rate for the auth service today? @Honeycomb Canvas show me p99 latency for che…

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Honeycomb Changelog Observability

Query Math is now available for all datasets and Triggers

New Query Math lets you define multi-step queries and perform math across their results directly in the Query Builder, now available across all your datasets. No calculated fields required. Each step has its own SELECT, WHERE, and GROUP BY clauses, and you combine them using simple formulas like ($A / $B) * 100. Give each formula a name and it carries through to your visualizations, keeping your c…

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Honeycomb Changelog Observability

Canvas Alert Investigations

New You can now launch an AI-powered investigation with Canvas directly from a Trigger or SLO Burn Alert. Trigger and SLO Burn Alert notifications sent to Slack, PagerDuty, and Email now include an ✨ Investigate link. Clicking this link starts an automatic investigation with information gathered about your alert, including trigger or SLO details, thresholds, and datasets. Use Canvas Alert Investig…

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Honeycomb Changelog Observability

Thresholds for Charts is Now Available

New You can now add thresholds to time series charts, including: line, stacked area, stat, and bar charts and save them to Boards or your Saved Queries. Thresholds help you quickly see system health and spot when your data cross values that require additional attention or action. To add a threshold, select Modify Chart from your query results and select a threshold value, color and label. When you…

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Honeycomb Changelog Observability

Errors for Frontend Observability is now Generally Available

New This GA release brings broader platform coverage and faster debugging for frontend teams. Highlights Readable Stack Traces Across All SDKs: Errors GA delivers human-readable stack traces via Honeycomb’s Symbolicator plugins reducing time spent deciphering minified or opaque error output Improved Android Exception Handling: Native Android applications now benefit from symbolicated uncaught exce…

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Honeycomb Changelog Observability

Save Views on Boards

New You can now save filter configurations on Boards as views! Views preserve your exact filter settings so you can return to the precise context you need with a single click, eliminating the need to rebuild the same scope each time. Begin by defining filters. Once you've assigned specific values to each filter dropdown, select Save as view and name your view. When you next return to the Board, si…

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Honeycomb Changelog Observability

Hide Other Category Data on Categorical Charts

New Categorical charts have a new setting: the ability to hide the other category data. Other category data can help give a holistic understanding of how different groups compare to the total, but sometimes, you want to focus in on what matters. This is particularly useful on high cardinality fields, where other category data may make up a large percentage of the total.

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Honeycomb Changelog Observability

Preset Filters on Boards

New You can now set preset filters on a Board to guide how its data is explored. These filters give every user quick access to the most useful slices of data, ensuring consistent and relevant results, without needing to know which fields matter beforehand. Learn more in our docs.

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Honeycomb Changelog Observability

✨ Canvas — Custom Context for Team Prompts

Improvement Canvas now supports team-level custom context that is automatically included in every prompt your teammates send through Canvas. You can use this to provide shared background information, domain-specific details, team conventions, or anything else that should consistently guide Canvas’ reasoning. Once set, the context is seamlessly prepended to all Canvas interactions—no extra steps re…

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Honeycomb Changelog Observability

SLO Monitoring now supports Burn Rate configuration

Improvement You can now specify a SLO Burn Alert in terms of a target Burn Rate for alerting. Burn rates provide another way to intuitively prescribe alerting conditions for your SLOs. Example: Specifying a Burn Rate allows you to target a rate of error budget consumption. With the ideal 1x burn rate, the SLO budget is consumed at exactly the end of the SLO window. A 2x burn rate burns through bud…

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Honeycomb Changelog Observability

Calculated Fields now support infix arithmetic, logical, and comparison operators

Improvement You can now use infix arithmetic, logical, and comparison operators when defining a Calculated Field. Infix notation makes authoring easier by allowing the use of mathematical symbols like “/“ in place of function equivalents like “DIV” (function syntax may still be used if preferred). Example: Infix notation $app.filter value.counts / $app.filter value.max_value Function syntax DIV($"…