To install DataIntell, you need the following minimum requirements:

• Processor: Quad core processor
• Memory: 32 GB Ram
• Storage: 2 TB SSD
• Connection: 10GB Ethernet Connection
• Operating system: Centos 7

Download and install the package with the link provided to you. Replace {link} in the following command with your link. Run these commands as root.

Commands:

sudo su

curl https://dataintell-bucket.s3.ca-central-1.amazonaws.com/install/output/centos-standard-install.tar.gz >> install.tar

tar -xvf install.tar

cd output/centos-standard-install

chmod 755 install.sh

./install.sh | tee output.txt

Make sure your Centos partition has enough storage space for the ElasticSearch data path /var/lib/elasticsearch/

To show partitions, run the following command:

df -h

If your / partition is too small, you can move data to /home by creating a new folder and moving the data

mkdir /home/elasticsearch

cp -r /var/lib/elasticsearch /home/elasticsearch

chown -R elasticsearch:elasticsearch /home/elasticsearch

Once the data is relocated, you just need to change the value of path.data in the configuration file elasticsearch.yml.

vi /etc/elasticsearch/elasticsearch.yml

Example: If you moved the data to /home/elasticsearch, you should paste this:

/home/elasticsearch/elasticsearch/

Your elasticsearch.yml file should look like this.

Finally, once all the Elasticsearch configuration are changed, you need to restart the ElasticSearch service with the following command:

systemctl restart elasticsearch

Finally, you need to activate license to start using DataIntell.

Open a Web Browser and go to the ip address of the server.

Example: If your server is running on the IP 10.10.0.98, the address should be http://10.10.0.98

You should see the login page of DataIntell and you can login with the default user admin and the default password password

Go in the General section of the settings and click on the Update license button. Just copy the content of the license you were provided with.

To scan a volume, you need to mount the volume on the Centos server.

In the application, go in the Settings in the Data section.

Add a volume with a name and a path, a server and a storage price

• Name: The name that will be in the DataIntell application
• Path: The mount point on your server. Ex: /mnt/Nas
• Server: Keep the default one if it’s only running on one server.
• Storage Price: This is used to calculate the price of a project. It can be changed anytime.

To launch a scan, just click on the Scan all volumes button.

It could take up to 5 minutes to see data in the Search section. You can track the progress of the scan in the Dashboard section.

On your installation server, open a terminal and run the following commands as root:

Don’t forget to replace the {version} to something like 1.4.3

sudo su

curl https://dataintell-bucket.s3.ca-central-1.amazonaws.com/updates/output/update-{version}.tar.gz >> update.tar.gz

tar -xvf update.tar.gz

cd output/update-{version}

chmod 755 update-api.sh update-client.sh

./update-api.sh

./update-client.sh

On your installation server, open a terminal and run the following commands as root:

Note: Don’t forget to replace the {version} to something like 1.4.3

First make sure the application is running

docker ps

Authenticate with AWS ECR service

aws ecr get-login-password --region ca-central-1 | docker login --username AWS --password-stdin 827631532322.dkr.ecr.ca-central-1.amazonaws.com

Get the latest version.

docker pull 827631532322.dkr.ecr.ca-central-1.amazonaws.com/dataintell-api:{version}

Stop and start the API with the lastest version.

docker stop dataintell-api

docker rm dataintell-api

docker run -d --restart unless-stopped --env-file /dataintell/config-map.env -p 8085:8085 --name dataintell-api 827631532322.dkr.ecr.ca-central-1.amazonaws.com/dataintell-api:{version}

Note: The file config-map.env could be located in another location then /dataintell/

On your installation server, open a terminal and run the following commands as root:

Note: Don’t forget to replace the {version} to something like 1.4.3

First make sure the application is running

docker ps

Authenticate with AWS ECR service

aws ecr get-login-password --region ca-central-1 | docker login --username AWS --password-stdin 827631532322.dkr.ecr.ca-central-1.amazonaws.com

Get the latest version.

docker pull 827631532322.dkr.ecr.ca-central-1.amazonaws.com/dataintell-client:{version}

Extract current configuration of the running application and list them

DOCKER_ARG_1=$(docker inspect --format='{{.Config.Env}}' dataintell-client | cut -d' ' -f1 | sed 's/\[//')

DOCKER_ARG_1=$(docker inspect --format='{{.Config.Env}}' dataintell-client | cut -d' ' -f1 | sed 's/\[//')

PORT=$(docker port dataintell-client 5000)

echo "DOCKER_ARG_1:" $DOCKER_ARG_1

echo "DOCKER_ARG_2:" $DOCKER_ARG_2

echo "PORT:" $PORT

If in the previous command you saw, REACT_APP_APIURL and REACT_APP_APIPORT you can stop and start the API with the lastest version with the following commands.

If in the previous command you didn’t see, REACT_APP_APIURL and REACT_APP_APIPORT, refer to the note at the end of the section.

docker stop dataintell-client

docker rm dataintell-client

docker run -d --restart unless-stopped -p $PORT:5000 -e $DOCKER_ARG_1 -e $DOCKER_ARG_2 --name dataintell-client 827631532322.dkr.ecr.ca-central-1.amazonaws.com/dataintell-client:{version}

Note: Here are the value to replace in the last command if the application did not start properly:

• $PORT: The expose port Ex: 80
• $DOCKER_ARG_1: The API URL Ex: REACT_APP_APIURL=”http://10.10.50.10″
• $DOCKER_ARG_1: The API PORT Ex: REACT_APP_APIURL=8085