Shulou(Shulou.com)06/02 Report--

Kibana as an excellent visual open source analysis tool for Elasticsearch, let's use Docker for the simplest hands-on demonstration.

Docker

Using tutorials

Here we use the Linux system as a demonstration

System: Fedora28

Kernel:

Uname-r4.16.2-300.fc28.x86_64

Docker version

Docker-- versionDocker version 18.03.0-ce, build 0520e24

Install docker-compose

Sudo curl-L https://github.com/docker/compose/releases/download/1.21.0/docker-compose-$(uname-s)-$(uname-m)-o / usr/local/bin/docker-composesudo chmod + x / usr/local/bin/docker-compose

Docker-compose.yml

Version:'2' services: elasticsearch: image: elasticsearch environment:-cluster.name=elasticsearch ports:-"9200 services 9200" kibana: image: kibana environment: SERVER_NAME: kibana ELASTICSEARCH_URL: http://192.168.1.186:9200 ports:-"5601 elasticsearch 5601"

Start elasticsearch and kibana

Docker-compose up

Visit the Kibana page http://localhost:5601

Kibana

Change index pattern to *

Select Time Filter field name as the first

And then Create

Click Discover to see the data page

Discover

The above is the whole content of this article, I hope it will be helpful to your study, and I also hope that you will support it.

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