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jcreek.github.io/docs/deploying/elasticsearch-and-kibana.md
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---
tags:
- deploying
- docker
---
# Docker Compose for Elasticsearch and Kibana 7.9
_2021-07-13_
In this post, I will cover how you can set up Elasticsearch and Kibana with a single `docker-compose.yml` file.
## Set up and install ELK stack on Ubuntu server
You must run `sudo sysctl -w vm.max_map_count=262144` to get Elasticsearch to work. To make this permanent, run `sudo nano /etc/sysctl.conf` and add `vm.max_map_count=262144` to the end of the file on a new line, then save and exit.
Go to the directory with the files in. Make sure you've used SFTP to put the `docker-compose.yml` file in there first. For example you may need to use this command `cd /home/administrator/docker/elk-stack`
Install it all with `docker-compose up -d` and you're finished! It really is that simple.
The compose file is as below.
```docker
version: '2.2'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:7.9.3
container_name: elasticsearch
environment:
- node.name=elasticsearch
- discovery.seed_hosts=elasticsearch
- cluster.initial_master_nodes=elasticsearch
- cluster.name=docker-cluster
- bootstrap.memory_lock=true
- "ES_JAVA_OPTS=-Xms2g -Xmx2g"
ulimits:
memlock:
soft: -1
hard: -1
nofile:
soft: 65536
hard: 65536
volumes:
- esdata1:/usr/share/elasticsearch/data
ports:
- 9200:9200
kibana:
image: docker.elastic.co/kibana/kibana:7.9.3
container_name: kibana
environment:
ELASTICSEARCH_URL: "http://elasticsearch:9200"
ELASTICSEARCH_SHARDTIMEOUT: 300000
ports:
- 5601:5601
depends_on:
- elasticsearch
volumes:
esdata1:
driver: local
```