Pierre Tessier [Sales Engineer|Honeycomb]:
Hi, my name is Pierre Tessier. In this video we’re going to talk about sharing and collaboration in Honeycomb, making observability happen for teams.
When you ran a query and you’ve got results that you found interesting that you want to share or collaborate with your team, you’ve got plenty of options available for you inside of Honeycomb. The first is, you may want to add this to a board. You could click on the add to board button to add it to an existing board, any of the ones available in your instance, or add it to a new board. Another option is you may want to share and collaborate with this on Slack. Click the share button, tell what Slack channel you want to add it to, an optional message, and then when you hit send to Slack this will be sent to that Slack channel of choice and will also unfurl the charts inside of Slack for you. Really easy to work with your team to understand what’s going on quickly.
Finally, you also have the option to use the URL itself. Every time you run a query, the URL becomes a permalink for those results exactly as you see them. And that permalink will always be available, even next year, even if the data is no longer available inside of Honeycomb. This is really handy if you want to share exactly results as they were or maybe put it inside of documentation to refer to later on. But this isn’t the only way we could work with Honeycomb. Inside of a query on the right-hand side, you have a My History button. If you go ahead and click on this, you’ll see every single query that you’ve run on this dataset. This is important for a lot of reasons. One good one is you might be doing a lot of debugging and you’re looking down at something and you’ve gotten down the wrong path. You can back yourself up and see that exact history as you performed it over time.
You’re not just limited to your own history, you can also see your team’s activity on this exact same data set as well. So you can learn from your teammates or work with them when you’re debugging and collaborating as a team to try to solve problems. And you go see any of their queries by clicking on them and seeing exactly what they were seeing at that time. This data pane here is limited to the data set in question that you’re querying. You might want to have more powerful results or look across multiple data sets. And you could do this using query history.
Here you have the ability to query anything that you’ve done before. Every time you’ve issued a query, we take all those parts of the query, the where clause, which measures you’re looking at, even the titles of the query itself and we put that down as metadata. And you could search against that metadata and refine your results. So I might say anything that contained the word dogfood and go ahead and hit search and these are all the results or queries that contain the word dogfood. You’ve got plenty of other metadata fields you can use as well, like user, before, or the data set itself if you want to narrow it down.
I hope you found this video useful. Thank you very much.
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