We recently wrote a case study regarding how Elasticsearch has helped us improve speed and ease of scale as we’ve continued to improve Exceptionless.
Last week, Elasticsearch published that case study on their blog, so we wanted to make sure our readers had a chance to check it out!
We’ve written about our use of Elasticsearch in numerous articles before, including:
- Making the Move to Elasticsearch for Exceptionless 2.0
- Filter Your Exceptions in Version 2.0 – Video Demo
- Exceptionless V3.0 – Changes to the Build Process, Dependencies, and Self Hosting
- Exceptionless 3.1 Released! If You Thought It was Fast Before…
In the case study, we discuss how Elasticsearch let us improve our real-time dashboard, work with time zones more easily, index data much faster, not have to worry so much about pre-aggregating data, maintain much less code, improve backup and restoration, shrink disk space usage, and, perhaps most importantly, drastically improve scalability.
Basically, we really like Elasticsearch and you should check it out if you haven’t already.
Do you use Elasticsearch? #
Let us know how it’s helped you, or if you have any questions we might be able to answer, by commenting below!