Scale Your Metrics with Elasticsearch

Scale Your Metrics with Elasticsearch

"Only accept features that scale" is one of Elasticsearch's engineering principles. So how do we scale metrics stored in Elasticsearch? And is that even possible on a full-text search engine? This talk explores:
* How are metrics stored in Elasticsearch and how does this translate to disk use as well as query performance?
* What does an efficient multi-tier architecture look like to balance speed for today's data against density for older metrics?
* How can you compress old data and what does the mathematical model look like for different metrics?

We are trying all of this hands-on during the talk, since this has become much simpler recently.


Philipp Krenn

May 05, 2019