But what about cost? Ingesting all of your traces and spans can quickly add up and can be unnecessary in order to gain visibility into the health of your applications. That’s where tracesampling comes in – in particular, tail sampling.
By sampling your traces, you can significantly reduce the amount of data ingested into Coralogix, maintaining full visibility into your services without incurring heavy charges. Try it out with the OTel Demo App.
Tail sampling is a method of trace sampling in which sampling decisions are made at the end of the workflow, allowing for a more accurate sampling decision. This is in contrast to head-based sampling, in which the the sampling decision is made at the beginning of a request and usually at random. Tail sampling grants you the option of filtering your traces based on specific criteria, a plus when compared with head-based sampling.
So why is tail sampling important, and why should you do it?
Enjoy focused observability. Tail sampling is a powerful tool for focused observability, allowing you to zero in on the traces that matter to you most. View only those traces that are of interest to you.
Identify issues. Tail sampling is useful for identifying issues in your distributed system while saving on observability costs.
Save on costs. By selectively exporting a predetermined subset of your traces, you can lower data ingestion and storage costs, while still being able to identify and troubleshoot issues.