Honeycomb changelog
Honeycomb changelog
honeycomb.io

Navigation Bar Updates: Changelog & Support

 

Improvement

  

Changelog and Support are now accessible inside of the Account sub-menu. Click on Account to access new product updates, contact support or view documentation. Any feedback on this new change can be shared in our Pollinators #ux-feedback slack channel!

Derived Column Visual Updates

 

Improvement

  

Preview Data Improvements

Previously, Derived Column previews would evaluate to a column on the right. We've pulled this to the left with additional UI highlighting to make this easier to view and assess.

image.png

Opt-In Derived Column Editor

All teams will now see the new Derived Column Editor by default. If you prefer the old experience, you can toggle it off in the upper right hand corner.

Other UI Enhancements

  • The modal uses a sticky footer.
  • We've added the syntax reference link to the new editor.

If you have any feedback, feel free to share them in our Pollinators #ux-feedback channel or via the Survey in the New Editor tooltip.

Graph Snapshots added to Pagerduty Alerts

 

Improvement

  

Honeycomb Triggers integrated with Pagerduty will now attach a snapshot of the graph associated with the trigger query. This update applies to Triggers only and does not yet apply to Burn Alerts.

A screenshot of a Pagerduty alert showing a P99 graph generated by a Honeycomb query.

OpenTelemetry Logs, OpenTelemetry Go, and the Road Ahead

 

New

  

We released support for OpenTelemetry Logs and a new SDK distribution for OpenTelemetry Go! Read more about how to get started with both, and as a bonus, learn a little bit about the road ahead for our support for OpenTelemetry.

Raw Data Filter Search

 

Improvement

  

You can now search for specific fields when selecting field filters on the Raw Data tab of your query results, making it easier to find interesting fields in large datasets.

A view of the Raw Data tab of some query results. There are 55 fields in a left sidebar, and the user scrolls to the bottom of the page to find a field near the bottom. The user then scrolls back to the top of the fields in the left sidebar, types a search query into the the Field Search box, and checks some of the resulting fields. The results table then updates to only display those fields.][Screen Recording 2022-08-26 at 02.49.32 PM.gif

Experimental Derived Column Editor

 

New

  

You can now try our new experimental Derived Column Editor! This includes updates such as a larger editor to create your expressions, function autocomplete, and inline error handling. Toggle it ON or OFF in the Derived Column Modal which can be accessed via Dataset Settings > Schema > Derived Column > Edit/Add New Derived Column.

dc-toggle.gif

We're still testing updates and changes to the Derived Columns experience. If you have any feedback, feel free to share them in our Pollinators #ux-feedback channel or via the Survey in the New Editor tooltip.

Boards API adds Graph Settings

 

New

  

The Boards API now has support for managing the Graph Settings for each of the queries placed on a board. This means you can now manage options like Use UTC X-Axis and Omit Missing Values which were previously only available via the UI.

Enhanced Usage Reporting for Pro Customers

 

New

  

Pro customers can now access Enhanced Reporting for account usage! Navigate to Usage and click the new Enhanced Reporting tab to get a more detailed analysis of your account usage.

Screen Shot 2022-08-12 at 11.08.26 AM.png

Filter BubbleUp Results

 

Improvement

  

You can now filter for specific fields in your BubbleUp results. Filter by field name in the search bar above your results in the Query Builder and SLOs page.

bu-search-img.png

Data Ingested Times Available for Columns and Datasets via the API

 

Improvement

  

The Datasets and Columns APIs now include the last_written_at and created_at timestamps as part of the responses. Thelast_written_at is the timestamp of when data was last ingested for the Dataset or Column. These attributes allow for investigations into stale datasets and columns or to double-check if data was successfully received.