Elasticsearch new features: 2020 year in review

blog.bigdataboutique.com

25 points·synhershko··6 comments

The feature I see missing here today I'm most excited about is searchable snapshots.

> While we've had support for backing up data to low-cost object stores for a long time, with searchable snapshots you can now use them as an active part of storing and searching your data.

https://www.elastic.co/blog/introducing-elasticsearch-search...

The reason why we didn't include it is because it's not free; it actually requires the high-end licensing (ECE). We do have an alternative solution coming up soon as a replacement.

Gonna hijack this and share my wish for Elastic in 2021: A Kibana that requires less than 1GB of disk space and doesn't require loading ~50MB of javascript and css.

How do you propose to do advanced dynamic and realtime graphing without a lot of JS?

That's A LOT of JS. At a quick glance, datadog appears to do a decent job with a lot less. Grafana does it in about ~20x less.

Also, doesn't explain why a fresh install of Kibana is 5.5x larger than a fresh install of Postgres.

While I understand that Kibana does a lot in the browser, as a sibling commenter said, I think there's much room for improvement, performance-wise.

I use fairly basic stuff in Kibana. I practically only use the discover panel with a reduced number of lines. It's by far the slowest webapp on my computer. Granted, it's a 2013 MBP (with 16 GB though), but pretty much nothing else is so painfully slow. It's barely faster on a more recent computer (i5-8500 with 32 GB).

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