diff --git a/README.md b/README.md
index e1faa25..8a60171 100644
--- a/README.md
+++ b/README.md
@@ -7,15 +7,56 @@ see [REST API](REST.md)
 
 ## Build & run
 
-### Docker
-
 First of all, you should generate [API key](http://docs.grafana.org/tutorials/api_org_token_howto/) in your Grafana instance.
 
 Without API key hastic-server will not be able to use your datasources.
 
+### Docker
+
 Example of running hastic-server in Docker:
 
 ```
 docker build -t hastic-server .
-docker run -d --name hastic-server -p 80:8000 -e API_KEY=<your_grafana_api_key> hastic-server
+docker run -d --name hastic-server -p 80:8000 -e HASTIC_API_KEY=<your_grafana_api_key> hastic-server
+```
+
+### Linux
+
+#### Environment variables
+
+You can export following environment variables for hastic-server to use:
+- HASTIC_API_KEY - (required) API-key of your Grafana instance
+- HASTIC_PORT - (optional) port you want to run server on, default: 8000
+
+#### Dependencies
+
+- python3 with:
+  - pip
+  - pandas
+  - seglearn
+  - scipy
+  - tsfresh
+- nodejs >= 9
+
+Example of running hastic-server on Debian / Ubuntu host:
+
+```
+$ export HASTIC_API_KEY=<your_grafana_api_key>
+$ export HASTIC_PORT=<port_you_want_to_run_server_on>
+# apt-get install python3 \
+  python3-pip \
+  gnupg \
+  curl \
+  make \
+  g++ \
+  git
+$ pip3 install pandas
+$ pip3 install seglearn
+$ pip3 install scipy
+$ pip3 install tsfresh
+$ curl -sL https://deb.nodesource.com/setup_9.x | bash -
+# apt-get update && apt-get install -y nodejs
+$ cd server
+$ npm install && npm run build
+$ npm start
 ```