Introducing AI BubbleUp
Blog post from Honeycomb
Honeycomb has upgraded its BubbleUp debugging tool with AI-powered insights that summarize the correlations most likely to explain how a selected group of outlier events differs from its baseline. BubbleUp analyzes high-fidelity, high-cardinality telemetry across many event dimensions, but its traditional ranking by statistical difference can make diagnostically important signals, such as an individual problematic user ID, difficult to find among dense results. The new AI layer evaluates the same underlying telemetry to highlight potentially relevant dimensions even when they are not ranked highest by raw statistical significance, while retaining the full raw BubbleUp results for users to inspect, sort, and verify. Available without additional setup for customers who have enabled Honeycomb Intelligence, the feature is intended to accelerate investigations and make telemetry-based debugging more accessible to users with less familiarity with a system’s data.
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