Honeycomb has announced that it is expanding its observability platform with native support for standard OpenTelemetry metrics.
According to the company, engineers can now use gauges, counters, and histograms to track trends, monitor system health, and detect performance changes over time. This data will give them a better sense of how what is happening in their infrastructure relates to what is happening in their applications.
“Full time-series metrics are the industry standard for most developers and site reliability engineers,” said Graham Siener, vice president 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.”
Honeycomb’s AI-guided dashboard, Canvas, is also now generally available. Developers can ask observability questions in natural language, and then Canvas will explore telemetry data, surface anomalies, and visualize its findings in real time.
“When we introduced Canvas in beta, our goal was to reimagine how teams explore and collaborate around their observability data without requiring manual querying. Canvas has quickly become the AI-guided workspace that helps teams transform raw telemetry into meaningful, shared understanding faster than ever before,” the company wrote in a blog post.
New features that are being added in the GA release include the ability to use the “@” symbol to bring up a search panel for querying observability datasets and support for background agents that can triage alerts and develop a plan before an engineer is pager.
These announcements also coincide with the launch of Honeycomb Private Cloud, which provides customers with dedicated AWS infrastructure that is built to meet security, data residency, and regulator requirements. Customers retain complete control over their data and they can isolate their environments, Honeycomb explained.
