Install X-Pack

Version:
5.4.0
Release date:
May 04, 2017
Notes:

View release notes.

Please note that the machine learning feature is in beta and should not be run in production.

Looking for Shield, Watcher, Marvel, Graph, or reporting? View past releases.

Running a cluster without internet access? See our offline installation instructions.

Installation Steps

New around here? Hop onto our getting started page to get acquainted with the Elastic Stack.

1

Install X-Pack into Elasticsearch

Ctrl + C to Copy
Note

To install X-Pack on a DEB/RPM installation of the Elastic Stack, see DEB/RPM installation instructions.


2

Start Elasticsearch

Ctrl + C to Copy

3

Install X-Pack into Kibana

Ctrl + C to Copy

4

Start Kibana

Ctrl + C to Copy

5
  • Navigate to Kibana at http://localhost:5601/
  • Log in as the built-in elastic user with the password changeme.

6

Dive into the getting started guide.

Note

If you're trying out the machine learning beta features, here are a few getting started resources and we welcome your feedback in the forums.

Version:
6.0.0-alpha1
Release date:
May 09, 2017
Notes:

View release notes.

We advise that you do not run preview software in production.

Please note that the machine learning feature is in beta and should not be run in production.

Looking for Shield, Watcher, Marvel, Graph, or reporting? View past releases.

Running a cluster without internet access? See our offline installation instructions.

Installation Steps

New around here? Hop onto our getting started page to get acquainted with the Elastic Stack.

1

Install X-Pack into Elasticsearch

Ctrl + C to Copy
Note

To install X-Pack on a DEB/RPM installation of the Elastic Stack, see DEB/RPM installation instructions.


2

Start Elasticsearch

Ctrl + C to Copy

3

Install X-Pack into Kibana

Ctrl + C to Copy

4

Start Kibana

Ctrl + C to Copy

5
  • Navigate to Kibana at http://localhost:5601/
  • Log in as the built-in elastic user with the password changeme.

6

Dive into the getting started guide.

Note

If you're trying out the machine learning beta features, here are a few getting started resources and we welcome your feedback in the forums.