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Honeycomb Launches AI Observability for Agent Fleet Visibility


Honeycomb Launches AI Observability for Agent Fleet Visibility
  • by: PR Newswire
  • |
  • September 30, 2026

Honeycomb.io, the observability platform for the new shape of software, today announced new features designed to help DevOps and engineering teams find and fix issues in production before their customers do. The release introduces Honeycomb's new AI Ecosystem, which provides a fleet-wide view of all AI agents in production, their performance, costs and individual conversations, while new Canvas MCP connectors bring context to telemetry data.

Quick Intel

  • Honeycomb launches AI Ecosystem for fleet-wide visibility into AI agent health, cost and performance.
  • New Canvas MCP connectors expand investigative context with code, tickets and team discussions.
  • Addresses gap as 71% of teams deploy AI agents faster than ability to manage or govern them.
  • AI Ecosystem provides diagnosis layer with failure rates, token usage, latency and cost tracking.
  • Includes three core features: Agent Fleet Performance, LLM Cost Tracking and Agent Conversations.
  • Canvas connectors include GitHub, Linear, Pylon, incident.io, Atlassian, Braintrust, Sentry, Amplitude and Checkly.

Managing a Multi-Agent Fleet with AI Ecosystem

Organizations are releasing and deploying agents at a blistering pace. According to a recent survey conducted by Honeycomb, 71% of respondents said they're deploying AI agents faster than their ability to manage or govern them.

Honeycomb's AI Ecosystem gives teams a diagnosis layer for an entire fleet of agents in production, providing a continuous, aggregate assessment on failure rates, token usage, latency, and cost across every agent. Because it's built on Honeycomb's high-cardinality data model, teams can drill down into individual agent conversations seamlessly from a high-level fleet view.

At launch, AI Ecosystem contains three core features, including Agent Fleet Performance, LLM Cost Tracking, and Agent Conversations. These collective capabilities provide full context and dynamic granularity on fleet-level health, per-agent health and volume, cost and efficiency, latency and performance, and blast radius. The platform enables teams to quickly answer which agent is degrading, whether it is fleet-wide, and which customers are directly affected.

Bring More Context into Canvas Investigations with MCP Connectors

AI is accelerating code generation, tripling the shipment of code and production issues, and adding more toil on engineers on call. To help teams respond faster, Honeycomb is expanding Canvas, its multiplayer workspace, with new MCP connectors.

These connectors provide context beyond production telemetry, adding details like source code, IT and support tickets, design rationale, live team conversations and more. Unlike single-user, chat-based agents, Canvas allows teams to work collaboratively to view the same telemetry artifacts, edit queries, verify agent prompts, check tool invocations and more.

The new Canvas MCP connectors are available today. AI Ecosystem is in early access now, with general availability anticipated by the end of this year or early next. The features will be showcased at O11yDay London on October 6-7 and virtual Innovation Week on November 3-4.

 

About Honeycomb

Honeycomb is the observability platform for the new shape of software. Built on a decade of distributed tracing leadership and deep roots in the OpenTelemetry community, Honeycomb gives engineering teams and the AI agents now operating alongside them—real-time, high-cardinality answers about any production system, with no pre-aggregation and no cardinality limits.

  • AI EcosystemDev OpsAgent Monitoring
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