mirror
/
docker-volume-borg-backup
kopia lustrzana https://github.com/Ovski4/tutorials/tree/master/docker-volume-borg-backup
1
0
Forkuj 0
Kod Zgłoszenia Packages Projekty Wydania Wiki Aktywność
docker-volume-borg-backup/docker-elk
Historia
Baptiste Bouchereau ecdc12d4d8 Details 2021-02-01 16:13:33 +01:00
..
elasticsearch/config Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
filebeat Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
kibana/config Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
.gitignore Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
README.md Details 2021-02-01 16:13:33 +01:00
data-sandbox.zip Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
docker-compose-full-stack.yml Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
docker-compose-sandbox.yml Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
kibana-dashboard.png Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
kibana-index-creation-step-1.png Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
kibana-index-creation-step-2.png Add the docker elk tutorial 2021-02-01 16:00:17 +01:00
nginx-page.png Add the docker elk tutorial 2021-02-01 16:00:17 +01:00

README.md

Run kibana and elasticsearch, sending data coming from nginx logs

Setup

  1. Run
git clone https://github.com/Ovski4/tutorials.git
cd docker-elk
  1. Create the data volume with the right permissions:
docker-compose -f docker-compose-full-stack.yml run elasticsearch chown elasticsearch -R /usr/share/elasticsearch/data
  1. Launch all containers:
docker-compose -f docker-compose-full-stack.yml up -d

  1. Browse http://localhost:5601/. You might have to wait a few minutes while Kibana set things up. You can then click on 'Explore on my own'.

  2. Then browse http://localhost:8085/. You should see this page :

Screenshot nginx page

The http request will trigger some logs to be send to elasticsearch.

  1. Come back to kibana at http://localhost:5601/. In the left panel, click on Discover under the Kibana section and create a new index pattern. You should see the filebeat index appearing in the select box. In the Index pattern name text field, type filebeat-*

First step of the kibana index creation

  1. In the following page, select @timestamp and click Create index pattern.

Second step of the kibana index creation

Go to the discover page at http://localhost:5601/app/discover#/.

That's it, you should see some data. You might have to update the dates filter located on the top right of the page if nothing shows up.

You can now create visualizations with Kibana.

Follow the next instructions to have a look at a kibana dashboard and some visualizations.

Run kibana and elasticsearch with existing data

This quick setup can be very useful as a sandbox. It comes with data fetched from my personal blog.

Setup

Stop the containers from the first part if needed :

docker-compose -f docker-compose-full-stack.yml down

Extract the data in the volume to bind:

unzip data-sandbox.zip -d ./elasticsearch/

Launch the containers:

docker-compose -f docker-compose-sandbox.yml up -d

Browse http://localhost:5601/, have look at the dashboard at http://localhost:5601/app/kibana#/dashboards.

Kibana dashboard