Honeycomb announced a series of new product advancements: Honeycomb Private Cloud, Honeycomb Metrics, and Canvas, a part of Honeycomb Intelligence.
Together, these new capabilities bolster Honeycomb's enterprise portfolio, combining security, performance, and agentic experiences to help organizations deliver resilient software at scale.
With Honeycomb Private Cloud, organizations get a dedicated AWS infrastructure built to meet stringent security, data residency, and regulatory requirements—all without sacrificing performance or developer experience. By providing complete management over data and environment isolation, this offering is especially well-suited for customers in highly regulated industries like finance and healthcare, who need to confidently access the lighting-fast query performance and intuitive workflows that define Honeycomb's platform.
Customers are able to select self-managed or Honeycomb-managed options. Additionally, this new Bring Your Own Cloud (BYOC) option offers a cost-effective solution for organizations that want to keep their data in their own cloud accounts and control costs over time using their existing AWS discounts.
With the introduction of overhauled and improved Metrics, Honeycomb is expanding its observability platform to include native support for standard OpenTelemetry metrics. This builds on Honeycomb's longstanding support for custom metrics through events, giving teams a unified way to explore both high-level signals and detailed event data in one place.
With Metrics, users can now bring in gauges, counters, and histograms to track trends, monitor system health, and detect performance changes over time. All of this happens within the same intuitive Honeycomb experience. Unlike traditional monitoring tools that separate system data from application behavior, Honeycomb's unified model allows engineers to seamlessly connect what is happening in their infrastructure to why it is happening in their applications.
This new capability gives teams faster insights, deeper context, and a clearer path from detection to resolution, making it easier than ever to understand how their systems and users interact.
"Full time-series metrics are the industry standard for most developers and site reliability engineers," said Graham Siener, VP of Product at Honeycomb. "Our new Metrics capabilities meet customers where they are, combining open-standard metrics methodologies with our industry-leading tracing data to better determine the context around critical issues. The Honeycomb Intelligence platform, which includes our improved Metrics, is purpose-built for teams of every size and provides a platform for success that organizations can use to navigate their AI journey."
Also launching for General Availability is Canvas, Honeycomb's AI-guided dashboard that blends natural language investigation with interactive notebooks for collaborative debugging.
With Canvas, engineers can ask questions in plain English and watch as Honeycomb autonomously explores telemetry data, surfaces anomalies, and visualizes findings in real time. Canvas runs multiple queries, comparisons, and BubbleUp analyses automatically, producing dynamic charts and trace visualizations that evolve as the investigation progresses.
As part of Honeycomb Intelligence, Canvas works with MCP Server and Anomaly Detection, bringing AI-driven investigation directly into the developer workflow rather than bolting it on as an afterthought. With these new offerings, Honeycomb further extends its leadership in helping enterprises achieve faster resolution, tighter control, and deeper understanding across distributed systems.
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