Honeycomb changelog honeycomb.io

Now when you see something unusual on your heatmap, you can click on the heatmap, and if you have tracing in your dataset, we will find a representative trace and display it.

Triggers now have a team level view! To list all triggers for the team, i.e. across all datasets, click the bell icon on the left hand navigation panel.

You can search for a specific trigger as well as sort the columns to bring triggered triggers up to the top. Click the trigger name to edit the trigger. Click the dataset name to access Dataset Settings. Here’s is a short video on this new behavior:

We used to require you to send fields with specific names (e.g. traceID and not trace_id) to use Honeycomb's tracing features. Now you can tell us which tracing fields your dataset uses!

If you're a Secure Tenancy user, this means you can now use all of Honeycomb tracing! (Before we didn't know which fields were your tracing fields. 😬)

Visit your dataset's settings and click on the "Tracing" tab to configure your tracing schema. Don't worry, we'll still detect your traces automatically without configuration if you're using one of our standard tracing schemas.

Permalinks now include graph settings! This has a couple of side effects worth noting:

1. You can share the URL without having to also say “make sure to toggle omit missing values”
2. Slack unfurls will show the graph that you’re looking at when you share it instead of always showing things with the default settings

We made a change to the heatmap color palette to make it easier to discern lower values from higher values. With this color palette, lower values will appear in a light color while higher values will appear darker and more saturated.

Found a new, weird value in a BubbleUp, and not sure what to do next? Click while hovering in a BubbleUp to get a new actions menu: break down, filter, and copy value. This should let your BubbleUp explorations go ever further!

BubbleUp is intended to help explain how some data points are different from the other points returned by a query. Use BubbleUp to help identify where to look for signal within your data. Find this feature in its own tab on the Query page.

Check out our documentation on BubbleUp for more context and the background on why we built this feature.

BubbleUp is pre-release, and is made available to you as a Beta-quality feature. We welcome your feedback on what you find most effective. Please use the Intercom button or talk to us in Pollinators Community Slack to get in touch and let us know what you think.

We're happy to announce that you can now add and edit field descriptions in the Query Builder side panel!

Add descriptions to your fields to help other users understand the purpose of a given field. It is now super easy to add descriptions - just click on Details in the side panel and click on the field name for which you would like to add a description.

The single Trace view has been updated to make larger traces easier to read and navigate! The tree on the left side of the table is completely revamped to better show the levels in the trace and differentiate between leaf and branch nodes. Branch nodes now show a count of all direct descendent spans and you can click on the box to collapse or expand the subtree.

We've also made improvements to the sidebar once you select a row on the table. Longer values are now easier to read and values can be filtered with the filter box on top of the section. This is handy when spans contain lots of information and you just want to quickly compare fields between different spans.

Honeycomb's Beeline for Node.js version 1.2.0 has been published to NPM. This release features improved support for concurrent asynchronous operations. This support is exposed through the API as startAsyncSpan, which the built-in instrumentation has been updated to use.

Check the repo's docs/API.md for more information and example usage.