Elasticsearch 2.0 + Kibana 4.2 = 💚 We're happy to announce the very first release of Kibana with support for Elasticsearch 2.0. What does that mean for you? Speed. Stability. Sweet new features. If you're itching to get moving, grab the download here, now. Otherwise, read on for the fun stuff you can expect in Kibana 4.2
Afraid of the dark?
Never! While we always recommend using a light background while composing charts and dashboards, sometimes you want them on a big screen, in a dark room, and nobody wants a bright white screen staring them down. To mitigate that effect, we've introduced a dark mode. Now you can comfortably enjoy Kibana dashboards in the NOC, the observatory, my soul, or really anywhere dark.
Custom map providers
Kibana's included map provider is a great, but we heard you wanted more options. If you fancy yourself a deft map handler, try out Kibana 4.2’s support for WMS background maps. WMS is super powerful and there's a wealth of free services providing them, including the US Geological Survey: http://viewer.nationalmap.gov/example/services/ser...
What's the scenario?
If something is wrong, we want you to know right away, so we've created a server status page that will give you an overview of how Kibana is operating at that very moment, and if there are any components that need your attention. Of course, if you just need the comfort of knowing everything is a-okay, it's always available right away from the Status tab under settings.
Faster in every way
Browser refreshes happen faster than ever thanks to the new code bundling system in Kibana 4.2 that optimizes the code it serves to just what you need at that moment. Also, remember memory?
Pepperidge Farm Kibana remembers. Kibana 4.2 includes a big memory cleanup allowing long long long running dashboards while maintaining a small small small memory footprint.
And oh so much more...
There are tiny tweaks around every corner and we’ve laid the groundwork for some really exciting stuff in the coming weeks, so stay tuned to the Elastic blog, our twitter account, and the Kibana Github repo and don’t miss a moment of the
monster truck analytics action.