# Vyasa Analytics Product Suite - Helm Chart

Vyasa Analytics has created this suite of applications to support data integration and deep learning analytics. See the **Application Descriptions** section below for more information about each application individually. Documentation on API endpoints is located [here] (https://api.vyasa.com/layar/swagger-ui.html).  An example application using these endpoints is available [here] (https://github.com/vyasa-analytics/layar-api-app). 

## Requirements

### Software Requirements

* CUDA 11.0 
* Helm 3.0 or later
* DGX OS 5 or later, Ubuntu 16 or later

### Hardware Requirements

**Baseline Requirements**:
* GPU: 4x NVIDIA Tesla P100s, NVIDIA Tesla V100s or better
* CPU: 16 cores minimum
* Memory: 96 GB
* Disk (SSD): 100 GB for installation + data (1TB suggested)

**NVIDIA Hardware**: DGX Station / DGX-1 Pascal / DGX-1 Volta / DGX-2 / DGX-A100 / HGX-A100

**AWS Instance Types**: p3.8xlarge / p3.16xlarge / p3dn.24xlarge

## Install

Before proceeding ensure you have added the `layar` helm repository.  For example:
```
$ helm repo add layar https://helm.ngc.nvidia.com/isv-ngc-partner/vyasa --username="\$oauthtoken" --password=$NGC_API_KEY
```

Modify the file `/etc/sysctl.conf` and set the parameter `vm.max_map_count=262144`. Enable by running `sysctl -p`:
```
$ sysctl -p
vm.max_map_count=262144
```

Next, install the helm package. The only **required parameter** is APPURL, which must be set to a valid DNS name that resolves to the host on which the helm chart is being installed. This URL will be used to access the application via a web browser.
```
$ helm install layar layar --set APPURL=my-host.my-company.com
```
Approximately 30GB of docker images will need to be downloaded.

Periodically check status of containers until all show status of “Running”.
```
$ kubectl get pods | grep vyasa
```

Visit the `healthcheck` page to confirm all services are running.  Even though all containers might be in `Running` status it might take an additional minute or two for this page to be available.
The `healthcheck` URL is:  `http://APPURL/layar/app_status/health`,  replacing `APPURL` with the DNS name set during installation. The displayed JSON `status` key at the top should show a value of `UP`.

Congratulations! You’ve installed the Vyasa Product Suite!

## License Information
By using the software you agree to fully comply with the terms and conditions of the SLA (Software License Agreement) located [here] (https://vyasa.com/license/).

## Vyasa Product Suite Quickstart
1. Once installed, visit the `APPURL` in a web browser.
2. Register a username with a valid email and user credentials.
3. Registrant will be emailed a link from “Vyasa Support” to log in to your instance.
4. Visit the APPURL in a web browser.
5. Sign into the instance with the registered user credentials.

## Support Documentation
For additional tutorials on the various applications and features, support documentation can be found in the [Vyasa Knowledge Base] (https://vyasa.com/support/).

## Uninstall
To uninstall, run the following:
```
$ helm uninstall layar
```

## Application Descriptions
The Vyasa Product Suite includes Layar, Synapse, Axon and Retina, each of which is specifically designed for cutting-edge data analytics use cases. From data integration and search in Layar to deep learning image analytics with Retina to intuitive dynamic knowledge graph creation with Axon, experience the next generation of A.I. powered analytics capabilities with the Vyasa Product Suite.

### What’s included in the Vyasa Product Suite?

Layar – Layar is a secure, highly scalable, data fabric platform built specifically for enterprise analytics. Layar can be added to existing enterprise data architectures to augment analytics capabilities or can operate as a stand-alone data fabric for text, image, and data stream integration and analytics.

Axon – A knowledge graph application that enables derivation of dynamically generated knowledge graphs directly from integrated data and documents sources integrated in a Layar data fabric.

Retina – Retina is an image analytics application that offers a wide range of deep learning image-related tasks, including management, annotation and deep learning analytics on images.

Synapse – Synapse provides “Smart Table Technology” that directly connects a user’s spreadsheet content to the analytical capabilities of Layar Data Fabrics.

Trace – Trace, a map-oriented application that leverages structured data to plot businesses, assets, and intellectual property in relation to trend and document content derived from Layar Data Fabrics.

## License Information
By using the software you agree to fully comply with the terms and conditions of the SLA (Software License Agreement) located [here] (https://vyasa.com/license/).