New time collection Metrics, MCP expansions, and expanded capabilities for AI-assisted investigations place Honeycomb because the observability platform constructed for the agent period
Honeycomb.io, the creators of observability, introduced a collection of latest AI capabilities and two main product milestones, together with the overall availability of Honeycomb Metrics and the enlargement of its Mannequin Context Protocol (MCP) integrations throughout main AI growth instruments. As AI brokers turn into each main contributors to and customers of manufacturing software program, these releases place Honeycomb as the primary observability platform purpose-built for that actuality — giving brokers the structured knowledge and direct platform entry they should monitor, debug, and optimize programs autonomously.
“Observability was constructed for a world the place people wrote the code and people learn the dashboards,” stated Graham Siener, SVP of Product at Honeycomb. “That world is altering quick. AI brokers are writing extra code, deploying extra providers, and more and more want to know what’s occurring in manufacturing themselves. We’re constructing Honeycomb for that actuality: the place your AI coding agent can examine a manufacturing challenge with the identical telemetry your finest SRE makes use of, and the place extra code delivery quicker doesn’t need to imply extra issues breaking.”
Pushing the Boundaries of Observability with AI
Honeycomb is launching a collection of latest AI capabilities designed to take away handbook, time-intensive observability duties and convey performance nearer to the place clients work on a regular basis. These capabilities embody:
- Velocity up migrations, onboarding, and manufacturing investigations with Honeycomb Agent Expertise, now out there for Claude Code, Cursor, and dozens of different brokers. Migrate legacy telemetry to OpenTelemetry, get knowledgeable recommendation on instrumentation, and create boards, triggers, and SLOs throughout onboarding to Honeycomb.
- When an alert fires or an SLO burns, Honeycomb Automated Investigations jumps into motion with the identical playbooks and instincts your finest SREs use. The potential is ready to autonomously detect points, conduct investigations, and suggest options.
- The brand new Honeycomb Slackbot brings Canvas into Slack, permitting you to make use of pure language to ask questions, examine alerts, get summaries, and discover observability knowledge. It additionally supplies evidence-backed evaluation with its ‘Chain of Thought’ logic to element which software calls have been made, the precise parameters handed to these instruments, and the way the agent adjusted its plan when a selected software output was surprising or irrelevant.
- Honeycomb Pipeline Intelligence is an AI-powered characteristic designed to simplify telemetry pipeline creation and administration at a time when AI-driven programs are producing observability knowledge at unprecedented scale. It routinely detects log sorts, chooses applicable parsers, and builds pipelines in line with established finest practices — dealing with the overwhelming majority of the configuration work by itself. What beforehand required days of handbook effort per log supply can now be accomplished in minutes, with solely minor changes left for engineers to fine-tune.
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Constructing Quick Suggestions Loops with Honeycomb Metrics
Conventional metrics-first instruments rely solely on time collection knowledge and cost per time collection. This method is very efficient for monitoring infrastructure well being at scale, however penalizes high-cardinality knowledge and forces groups to go away out very important context like buyer IDs, workspace identifiers, and vendor info.
Honeycomb Metrics now affords each time collection and event-based fashions on one platform with a unified question expertise, eliminating this tradeoff. Groups can seamlessly choose up current OpenTelemetry metrics workloads in Honeycomb, and make the most of event-based assortment to seize all of the customized metrics and dimensions they want with out worrying about runaway prices, preserving the wealthy context that AI-powered investigations depend upon.
“Earlier than Honeycomb, our engineers stored having to decide on between getting the info they wanted and protecting prices beneath management,” stated an Engineering Chief at Notion. “Shifting metrics to Honeycomb means we are able to proceed amassing time collection knowledge for normal metrics, overlaying greater than 100 million customers. However we are able to additionally add the scale to occasions, like host IDs and container metadata, with out worrying about cardinality-based billing blowing up.”
With Honeycomb Metrics now typically out there, Honeycomb offers engineers — and the AI brokers working alongside them — seamless entry to all telemetry knowledge in a single place.
Honeycomb MCP Goes Past Dashboards to Drive Proof-Based mostly Investigations
Honeycomb is increasing the capabilities of its MCP to embed observability instantly into the AI-powered growth and operations instruments engineering groups already use.
“We all know that high quality and completeness of knowledge matter in AI identical to they do for human-powered investigations,” stated Steven Tan, Senior DevOps Engineer at Scribe. “The muse that we’ve constructed with Honeycomb means not simply that we get higher solutions with higher context from our MCP-powered investigations, but in addition that engineers have extra belief within the outcomes and we are able to use them to make fixes and enhancements.”
Honeycomb MCP customers are already seeing the advantages together with:
- The CTO of a Fortune 500 retailer leveraged the MCP to get real-time Black Friday efficiency insights
- A prime streaming service related Honeycomb and Slack MCPs to floor root trigger from inner assist requests in minutes
- Engineering groups at a World 2000 monetary agency leveraged one-click integrations into their most well-liked IDE for immediate evaluation of AI generated code
Availability and Pricing
Honeycomb Metrics is usually out there to all Honeycomb clients beginning at this time. MCP expanded capabilities and Agent Expertise for Claude Code, Cursor, the AWS DevOps Agent, and extra platforms can be found now. Honeycomb Slackbot and Automated Investigations can be found in early entry.
Honeycomb can be introducing introductory promotional pricing for Metrics as little as $2 per 1,000 time collection per 30 days, serving to organizations scale observability affordably as fashionable programs and AI workloads generate rising telemetry volumes. Promotional pricing legitimate till the top of June 2026.
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