A New Approach to Metrics - Honeycomb
Today at o11ycon+hnycon —right now, actually, if you’re reading this blog when it was posted—we’re announcing several new Honeycomb features during the keynote. Our industry and community have come a long way since we burst onto the scene, and I’m delighted to give you another version of Honeycomb that continues to demonstrate what’s possible with observability.
First, we’re rounding out our APIs with a new Query Data API. The Query Data API lets you create and run Honeycomb queries programmatically, and returns the results so you can integrate that data into your workflows any way you see fit. Rather than being limited to just the Honeycomb UI, you can now get query results anywhere you need them.
A common use case for functionality like this is to visualize data from Honeycomb in other tools. A new and exciting use case we’ve seen is customers using Honeycomb query data to make automatic decisions in their deployment pipelines—e.g., “Is this canary deployment going well? If so, continue rolling out that feature to more users.” We can’t wait to see what other things you’ll build with it.
We also completely redesigned Honeycomb’s Query Builder, the core of your experience with Honeycomb. You can now ask questions faster than ever, and slice and dice your data in more ways to also get answers faster. The Query Builder now helps you auto-complete field values by showing you data recently sent to the specific column you’re querying. You can use that new functionality to do things like quickly see—as you are building your query—whether a field name that was being used a year ago still has the answers you’re looking for. Guess less. Know more.
