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The good stuff
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Merge pull request #4329 from ycombinator/remove-yum

Removing yum because we don't support it yet
latest commit 35ba04d731
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docs Removing yum because we don't support it yet
src Merge pull request #3976 from worldline/timeDefaults
tasks Disable marvel and refresh master on restart
test Merge branch 'master' of github.com:elastic/kibana into chore/reorgan…
.bowerrc Refactoring Directory Layout for Build Process
.editorconfig fix style issues in the server
.gitignore Re-add .jruby in case people have remnants of old builds
.jscsrc switched to personal fork of grunt-jscs to inclide fix feature
.jshintrc [aggTypes/metrics] implemented per-agg formatting
.jshintrc.browser [fixedScroll] refactor
.jshintrc.node Completing plugin system
.node-version added node-version file for use with https://www.npmjs.com/package/avn
.travis.yml [travis] also clean up the elasticsearch data dir
CONTRIBUTING.md update contributing.md
FAQ.md Add answer to the node-not-found questions
Gruntfile.js Add `create_services` grunt task.
LICENSE.md Use en-dash instead of hyphen in license between years
README.md bump version
STYLEGUIDE.md [lodash-mixins] switch _(Class).inherits(Super) to new _.class mixin
bower.json Merge branch 'master' of github.com:elastic/kibana into update/lodash
package.json Merge branch 'master' of github.com:elastic/kibana into update/lodash

README.md

Kibana 4.2.0-snapshot

Build Status

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Requirements

  • Elasticsearch version 1.4.4 or later
  • Kibana binary package

Installation

Quick Start

You're up and running! Fantastic! Kibana is now running on port 5601, so point your browser at http://YOURDOMAIN.com:5601.

The first screen you arrive at will ask you to configure an index pattern. An index pattern describes to Kibana how to access your data. We make the guess that you're working with log data, and we hope (because it's awesome) that you're working with Logstash. By default, we fill in logstash-* as your index pattern, thus the only thing you need to do is select which field contains the timestamp you'd like to use. Kibana reads your Elasticsearch mapping to find your time fields - select one from the list and hit Create.

Tip: there's an optimization in the way of the Use event times to create index names option. Since Logstash creates an index every day, Kibana uses that fact to only search indices that could possibly contain data in your selected time range.

Congratulations, you have an index pattern! You should now be looking at a paginated list of the fields in your index or indices, as well as some informative data about them. Kibana has automatically set this new index pattern as your default index pattern. If you'd like to know more about index patterns, pop into to the Settings section of the documentation.

Did you know: Both indices and indexes are acceptable plural forms of the word index. Knowledge is power.

Now that you've configured an index pattern, you're ready to hop over to the Discover screen and try out a few searches. Click on Discover in the navigation bar at the top of the screen.

Documentation

Visit Elastic.co for the full Kibana documentation.

Snapshot Builds

For the daring, snapshot builds are available. These builds are created after each commit to the master branch, and therefore are not something you should run in production.

platform
OSX tar zip
Linux x64 tar zip
Linux x86 tar zip
Windows tar zip
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