Webinars Incident Response High Cardinality Distributed Tracing

See How Coveo Engineers Reduced User Latency

Summary:


Many teams are wasting far too much time and energy searching through massive amounts of log data trying to find answers to user latency issues. Metrics data doesn’t help either as it only tells you that there is a problem, not where to fix it. This is why Coveo turned to observability.

Through implementing observability with Honeycomb, Coveo was able to reduce their user latency by 50 percent.

Coveo engineers, Andy Emond and Mathieu Fortier, along with Honeycomb’s Martin Thwaites chat about how they got there, plus topics around:

- Traditional logging methods vs. distributed tracing
- High-cardinality data: analysis and instrumentation
- Reclaiming your development time: spend less resources on researching and debugging

Training Videos

Intro to o11y Topic 10: Using BubbleUp to Find Distinguishing Factors in Honeycomb

In this video, Developer Advocate Jessica Kerr demonstrates how to use the BubbleUp tab to ask “what is different about the slow traces?”

Product Videos

Heatmaps + BubbleUp: How They Work

In this 3-minute video, you’ll learn how to use heatmaps to visualize a large number of events over different time buckets. This video also covers how you can combine heatmaps with Honeycomb’s BubbleUp feature to speed up your debugging workflow.

Training Videos

Finding Outliers With BubbleUp

Learn how using BubbleUp in your debugging workflow helps you analyze billions of rows of data across thousands of high-cardinality fields to quickly spot outliers that may be the source of hidden issues.
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