Honeycomb changelog honeycomb.io

Community teams will now be able to configure two triggers! Read more about triggers.

Teams on this plan will now be able to see unlimited personal and team query history in the sidebar on the query builder.

You can now enable and disable triggers! Disabled triggers will not be run by Honeycomb. You can set the trigger state using the API or the UI.

See https://docs.honeycomb.io/working-with-your-data/triggers/ and https://docs.honeycomb.io/api/triggers/

Support for setting Service Level Objectives (SLOs) and getting alerts from error budgets is now available for all Enterprise users.

Learn more at our SLO Docs page or click on the golden handshake.

Within a board, you are now able to change the time range on all graphs at once. To reset the time range back to the original queries - simply choose "Original Board Queries" from the time picker.

Now Live: Unified Storage. We’ve unified primary and secondary storage, and there’s a pretty cool story behind this update we think you’ll enjoy. Read the blog: https://www.honeycomb.io/blog/secondary-storage-to-just-storage/.

Seeing something interesting in that stacked graph view of your tracing dataset? You can now click to view the trace!

Many of you have requested the ability to edit your derived columns. This beta functionality is now available to everyone.

We now also show notification if your derived column is in use in a board, trigger or SLO so that you know what will be impacted if you edit or delete a derived column.

Read all about the new features here: https://docs.honeycomb.io/working-with-your-data/customizing-your-query/derived-columns/#editing-derived-columns

As of 2.11.0, the Honeycomb Python Beeline supports asyncio and asynchronous traces. See the docs for more info.

We've published a new release of the Honeycomb OpenTracing Proxy. Version 2.1.0 includes:

• Support for the Zipkin V2 format
• A fix for an issue with binary annotations

Previously released version 2.0.0 includes:

• A fix to ensure trace IDs are always positive.

You are now able to use BubbleUp in Usage Mode (Unweighted Mode) while exploring how your sample rates are behaving.