Advanced setup guides¶

Here we provide some advanced setup guides, in case you want to use docker, configure your own Elasticsearch instance or install the cutting-edge master version.

Using docker¶

You can use vanilla docker to run our image of the server. First, pull the image from the Docker Hub:

docker pull recognai/rubrix

Then simply run it. Keep in mind that you need a running Elasticsearch instance for Rubrix to work. By default, the Rubrix server will look for your Elasticsearch endpoint at http://localhost:9200. But you can customize this by setting the ELASTICSEARCH environment variable.

docker run -p 6900:6900 -e "ELASTICSEARCH=<your-elasticsearch-endpoint>" --name rubrix recognai/rubrix

To find running instances of the Rubrix server, you can list all the running containers on your machine:

docker ps

To stop the Rubrix server, just stop the container:

docker stop rubrix

If you want to deploy your own Elasticsearch cluster via docker, we refer you to the excellent guide on the Elasticsearch homepage

Configure elasticsearch role/users¶

If you have an Elasticsearch instance and want to share resources with other applications, you can easily configure it for Rubrix.

All you need to take into account is:

Rubrix will create its ES indices with the following pattern .rubrix*. It’s recommended to create a new role (e.g., rubrix) and provide it with all privileges for this index pattern.
Rubrix creates an index template for these indices, so you may provide related template privileges to this ES role.

Rubrix uses the ELASTICSEARCH environment variable to set the ES connection.

You can provide the credentials using the following scheme:

http(s)://user:passwd@elastichost

Below you can see a screenshot for setting up a new rubrix Role and its permissions:

Deploy to aws instance using docker-machine¶

Setup an AWS profile¶

The aws command cli must be installed. Then, type:

aws configure --profile rubrix

and follow command instructions. For more details, visit AWS official documentation

Once the profile is created (a new entry should be appear in file ~/.aws/config), you can activate it via setting environment variable:

export AWS_PROFILE=rubrix

Create docker machine (aws)¶

docker-machine create --driver amazonec2 \
--amazonec2-root-size 60 \
--amazonec2-instance-type t2.large \
--amazonec2-open-port 80 \
--amazonec2-ami ami-0b541372 \
--amazonec2-region eu-west-1 \
rubrix-aws

Available ami depends on region. The provided ami is available for eu-west regions

Verify machine creation¶

$>docker-machine ls

NAME                   ACTIVE   DRIVER      STATE     URL                        SWARM   DOCKER     ERRORS
rubrix-aws             -        amazonec2   Running   tcp://52.213.178.33:2376           v20.10.7

Save asigned machine ip¶

In our case, the assigned ip is 52.213.178.33

Connect to remote docker machine¶

To enable the connection between the local docker client and the remote daemon, we must type following command:

eval $(docker-machine env rubrix-aws)

Define a docker-compose.yaml¶

# docker-compose.yaml
version: "3"

services:
  rubrix:
    image: recognai/rubrix:v0.8.1
    ports:
      - "80:80"
    environment:
      ELASTICSEARCH: <elasticsearch-host_and_port>
    restart: unless-stopped

Pull image¶

docker-compose pull

Launch docker container¶

docker-compose up -d

Accessing Rubrix¶

In our case http://52.213.178.33

Install from master¶

If you want the cutting-edge version of Rubrix with the latest changes and experimental features, follow the steps below in your terminal. Be aware that this version might be unstable!

First, you need to install the master version of our python client:

pip install -U git+https://github.com/recognai/rubrix.git

Then, the easiest way to get the master version of our web app up and running is via docker-compose:

# get the docker-compose yaml file
mkdir rubrix && cd rubrix
wget -O docker-compose.yml https://raw.githubusercontent.com/recognai/rubrix/master/docker-compose.yaml
# use the master image of the rubrix container instead of the latest
sed -i 's/rubrix:latest/rubrix:master/' docker-compose.yml
# start all services
docker-compose up

If you want to use vanilla docker (and have your own Elasticsearch instance running), you can just use our master image:

docker run -p 6900:6900 -e "ELASTICSEARCH=<your-elasticsearch-endpoint>" --name rubrix recognai/rubrix:master

If you want to execute the server code of the master branch manually, we refer you to our Development setup.