See what stands out in your data with Drilldown (Beta)

Drilldown is intended to help explain how some data points are different from the other points returned by a query. Use Drilldown 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 Drilldown for more context and the background on why we built this feature.

Drilldown is pre-release, and is made available to you as a Beta-quality feature. “Drilldown” is a codename, pending release. 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.

Edit Field Descriptions Right in the Query Builder

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. EditDescriptions.jpg

Updated Trace view

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.

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Beeline for Node.js v1.2.0, with better concurrent async support

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.

Trace Summaries

We've added trace summaries to make it easier to explore tracing datasets and find interesting traces. Click the "Traces" tab to see a selection of traces, highlight an area on the graph to refine your selection, and then click through to see a detailed view of each trace.

Read more in the blog post!

Use Webhooks as Trigger recipients

We’re happy to announce a new Webhook Integration you can use as a Trigger Recipient!

We’ve known since the beginning that Triggers will never fit every use case. We don’t really want to build out an enormous amount of brittle UI to try and fit them in to all situations. Instead, we have handed you that power instead.

Instead of trying to chase down all the places we could send Trigger notifications, with all the variations in content that would be necessary to fit every niche, we’re going to let you customize the Trigger notification into exactly the right shape for your requirements. Find out more from the blog post

Beeline for Go v0.2.0

Honeycomb's Beeline for Go has gotten an overhaul! Our Beeline now comes with support for seamless tracing out of the box - the data model no longer simply supports the concept of "one current span," it now supports a doubly-linked tree of events (now dubbed "spans") representing a trace.

To see these changes in use, check out the new function calls StartSpan, AddFieldToTrace, and the wrapped RoundTripper! (See them all together in a single example.)

For more detail on the 0.2.0 release, see the repo's CHANGELOG.

Track outdated columns

We get it--not all your data gets updated all the time. (A few columns might have been collecting dust for months!). We'd like to make it easier for you to clean those up. Starting in June, we started tracking when we'd seen the latest update -- and now we're pushing it into the interface. In the dataset schema view, check out the new "Last Data Received" feature. Use it to debug your ingest, or to hide obsolete columns.

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Save an edited Query back to a Board

We've just made some ✨big improvements✨ to make collaborating with your colleagues (and your future self!) easier and better. Learn more about how to share the context in your brain and get greater #observability with Boards in today's blog post!

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Better surfacing your ability to filter within a table

We’ve better surfaced the ability to "right-click-to-filter" table results via a visible button :)

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No published changelogs yet.

Surely Honeycomb will start publishing changelogs very soon.

Check out our other public changelogs: Buffer, Mention, Respond by Buffer, JSFiddle, Olark, Droplr, Piwik Pro, Prott, Ustream, ViralSweep, StartupThreads, Userlike, Unixstickers, Survicate, Envoy, Gmelius, CodeTree