Import Helm Chart from Git Repository

• Click Menu > Terminal > New Terminal to launch a terminal

  

• Clone the Git repository to import a Helm chart packaged as a TAR archive file.

  

  You may be asked to allow the editor access to sign into your GitHub account. Follow the prompts to authorize Visual Studio Code to access the repository. Once complete, the Git repository can now be successfully cloned from the VS Code editor and the Helm chart can be accessed from the Explorer

  

• Extract the package to edit the Helm chart.

  

Edit Helm Chart

Envision a deployment scenario where the application requires to be deployed on a pod with specific requirements. For example, applications built and optimized with the OpenVINO™ Toolkit may require Vector Neural Network Instructions (VNNI) to be enabled and necessitate that they be deployed on a cluster with the required capability. This is a feature called Node Feature Discoverability (NFD). If being deployed on a Kubernetes* cluster, enable NFD through the NodeSelector and specify hard requirements on which node to run the application on.

Open the deployment.yaml and add the nodeselector flag to enable NFD to request a CPU with VNNI capability.

Publish Resource to a Repository

• Package the Helm chart into compressed TAR format.

  

• Commit the package into the Git repository.

  Use git status command to check which files and changes are not yet tracked by git. This will list the updated Helm chart package.

  

• Add and commit untracked changes to the Git repository.

  

  You may be required to confirm your identity again. Provide the email address and username of the Git account using git config user.email “email” and git config user.name “username”

• Commit and push changes to the Git repository with the git push command.

  

• Access the updated Helm package through the Git repository.

  

Import Docker Compose File

• Click Menu -> Terminal -> New Terminal to launch a terminal in VS Code.

  

• Clone the Git repository to import the Docker Compose file

  

  The Docker Compose file will now be available within the file explorer to edit.

Edit Docker Compose File

Edit the Docker Compose file to add the services you need to your application. In this example, we have set up two services: ovms-server and ovms-client, established dependencies between the two and setup ports for communication.

Publish Changes to Git Repository through VS Code

From the cloned folder, use git status command to check which files and changes are not yet tracked by git. This will list the updated Docker Compose file.

Add and commit untracked changes to the git repository. You may be required to confirm your identity again. Provide the email address and username of the Git account through the git config user.email “email” and git config user.name “username” commands.

Commit and push changes to the git repository with git push command.

Import Dockerfile from Git Repository

The following example demonstrates how developers can import their own Dockerfiles from a Git repository to replicate the flow.

Click on Menu-> Terminal-> New Terminal to launch a terminal.

Clone the Git repository to import the Dockerfile and required resources.

Upon successful cloning, the resource can be accessed from the VS Code workspace.

Build container using Dockerfile

Double click the Dockerfile to open it in the editor. This sets the default Dockerfile path for use from the Docker Image Builder. Make edits as necessary to set up the runtime parameters.

Click the Image Build icon to launch Docker Image Builder. Pick the Dockerfile, Dockerfile Context Folder and provide the Docker Image Name and Tag for the container image that will be built using the Dockerfile. Click Build Dockerfile.

This triggers the build process.

Upon build completion, the resource can be accessed from the My Workspace -> Application tab and Launch the application on Intel hardware. Learn more about launching and benchmarking applications in the  Benchmark Hardware section.