daniloveras / elasticon_tour_2018_alexf Goto Github PK

This is not production ready and includes a pre-production version of Kibana. There is a good chance that things will break, it is only meant to be a demo environment.

Not all images and assets were created by Elastic, please to do not redistribute

The builds found in this repo have an early version of Spaces. There is also an up to date build of Canvas from master. I am hoping to add a few more future features to this build as well. There is a good chance I'll upload a snapshot of data / dashboards as well so it's easier to get started.

Follow the instructions below to install locally

1. Download and unzip elasticsearch-7.0.0-alpha1-SNAPSHOT.zip, navigate to the directory and run bin/elasticsearch
2. Choose from kibana-7.0.0-alpha1-SNAPSHOT-darwin-x86_64.zip, kibana-7.0.0-alpha1-SNAPSHOT-linux-x86_64.zip and kibana-7.0.0-alpha1-SNAPSHOT-windows-x86_64.zip depending on your OS. Download and unzip
3. From the kibana directory, download and install Canvas as a plugin.
   • NODE_OPTIONS="--max-old-space-size=4096" ./bin/kibana-plugin install \ file:///[PATH TO FILE]/canvas.zip
4. When the installation is complete, from the directory run bin/kibana.
5. Spin up Kibana from it's default host localhost:5601. Download the license file here. Upload this license in the License Management UI.
6. Kill Kibana
7. With Elasticsearch running, open a new terminal window and navigate to the elasticsearch-7.0.0-alpha1-SNAPSHOT directory. Run bin/elasticsearch-setup-passwords interactive and changes all passwords to Elastic2018!
8. When complete, kill Elasticsearch. Download the elasticsearch.yml and kibana.yml files from here. Replace them in their appropriate directories.
   • I have these running on localhost:9400 and localhost:5610 so I can still run other dev builds locally. Feel free to change in the settings but all scripts are setup for these endpoints.
9. Start Elasticsearch and Kibana, add both the flights and web logs sample data to the cluster
10. In the scripts directory of this repo, start running the canvas_intro_stats.py script to start generating content for the workpad
11. Create an index pattern for canvas_stats
12. From the canvas_workpads directory, download the Elastic{ON} Tour 2018 Kibana Canvas.json workpad. Drag and drop it into the Canvas workpad table. You should have a demoable workpad ready to go.
13. Demo script is available here if needed