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How-to guides

Create AI&MLOps Platform

The user can enter the essential information of the AI&MLOps Platform through the Samsung Cloud Platform Console and create the service by selecting detailed options.

To create an AI&MLOps Platform, follow these steps.

  1. All Services > AI/ML > AI&MLOps Platform menu is clicked. It moves to the Service Home page of AI&MLOps Platform.

  2. On the Service Home page, click the Create AI&MLOps Platform button. It moves to the Create AI&MLOps Platform page.

  3. On the Service Type Selection page of AI&MLOps Platform creation, enter the information required for service creation and select detailed options.

    • Select Service Type and Version Select the service type in the 서비스 유형 및 버전 선택 area.
      Classification
      Necessity
      		Detailed Description
      Service TypeRequiredThe type of service chosen by the user
      • AI&MLOps Platform
      • Kubeflow Mini
      Service Type VersionRequiredVersion of the selected service
      • Provides a list of versions of the provided service
      Table. AI&MLOps Platform Service Type and Version Selection Items
    • Cluster Deployment Area Division Select the options required for service creation in the area.
      Classification
      Necessity
      		Detailed Description
      Cluster Deployment AreaRequired
      • Deploy to Kubernetes Engine: Select an existing Kubernetes Engine
      • Deploy to New Cluster: Create a Kubernetes Engine when creating the AI&MLOps Platform
      Table. AI&MLOps Platform Service Cluster Deployment Area Division Items
    Reference
    Depending on the settings of this cluster deployment, the following configuration elements of the Service Information Input page will be different.

  4. On the Service Information Input page of AI&MLOps Platform creation, enter the information required for service creation and select detailed options.

  5. On the Creation Information Confirmation page of AI&MLOps Platform Creation, check the detailed information created and the expected billing amount, and click the Complete button.

    • Once creation is complete, check the created resource on the AI&MLOps Platform service list page.

AI&MLOps Platform detailed information check

The AI&MLOps Platform service can check and modify the entire resource list and detailed information. The AI&MLOps Platform Service Details page consists of Detailed Information, Tags, Work History tabs.

To check the detailed information of the AI&MLOps Platform service, follow the next procedure.

  1. All Services > AI/ML > AI&MLOps Platform Service menu is clicked. It moves to the Service Home page of the AI&MLOps Platform Service.
  2. Service Home page, click the AI&MLOps Platform menu. It moves to the AI&MLOps Platform service list page.
  3. AI&MLOps Platform Service List page, click on the resource to view detailed information. Move to the AI&MLOps Platform Service Details page.
    • AI&MLOps Platform Service Details page displays status information and additional feature information, and consists of Details, Tags, Work History tabs.

Detailed Information

On the AI&MLOps Platform 서비스 목록 page, you can check the detailed information of the selected resource and modify the information if necessary.

Classification
Detailed Description
ServiceService Category
Resource TypeService Name
SRNUnique resource ID in Samsung Cloud Platform
Resource NameResource Name
  • In the AI&MLOps Platform service, it means the cluster name
Resource IDUnique resource ID in the service
CreatorUser who created the service
Creation TimeThe time when the service was created
ModifierService information modified user
Modified DateDate when service information was modified
Dashboard StatusDashboard Status Value
Service NameService Name
Admin Email AddressAdministrator Email Address
Image NameService Image Name
VersionImage Version
Service TypeDeployed Service Type
Table. AI&MLOps Platform Service Detailed Information Items

Tag

On the AI&MLOps Platform 서비스 목록 page, you can check the tag information of the selected resource, and add, change, or delete it.

ClassificationDetailed Description
Tag ListTag list
  • Key, Value information of the tag can be checked
  • Up to 50 tags can be added per resource
  • When entering a tag, search and select from the existing Key and Value list
Table. Cluster tags tab items

Work History

You can check the work history of the selected resource on the AI&MLOps Platform 서비스 목록 page.

ClassificationDetailed Description
Work history listResource change history
  • Work details, work time, resource type, resource name, work result, worker information can be checked
  • Click the corresponding resource in the Work History List list. The Work History Details popup window opens.
Fig. AI&MLOps Platform Service Work History Tab Detailed Information Items

AI&MLOps Platform connection

To access the AI&MLOps Platform dashboard, preliminary work must be done in advance.

Pre-work

To access the AI&MLOps Platform, you must set the relevant ports and IP addresses for access in the Security Group and Firewall (if using a firewall) in advance.

  • Kubeflow Mini: 31390 port (Security Group’s inbound rule, VPC firewall)

  • To access the cluster Worker Node, you must set the inbound rule for port 22 in the Security Group and Firewall (if using VPC firewall).

Logging into the Dashboard

To access the AI&MLOps Platform service, follow the procedure below.

  1. All Services > AI/ML > AI&MLOps Platform Service menu is clicked. It moves to the Service Home page of the AI&MLOps Platform Service.
  2. On the Service Home page, click the AI&MLOps Platform 서비스 menu. It moves to the AI&MLOps Platform 서비스 목록 page.
  3. AI&MLOps Platform Service List page, click on the resource to view detailed information. It moves to the AI&MLOps Platform Details page.
  4. AI&MLOps Platform details page, click the Access Guide button. The Access Guide popup window opens.
  5. Connection Guide In the Connection Guide popup window, click the URL link of the Dashboard. It moves to the corresponding dashboard page.
Caution
When using Public Subnet and assigning a public IP, it may be exposed to security attacks such as external hacking and malware infection.

AI&MLOps Platform cancellation

You can save operating costs by canceling the corresponding service that is not in use. However, if you cancel the service, the operating service may be stopped immediately, so you should consider the impact of stopping the service sufficiently before proceeding with the cancellation work.

Caution
After the service is cancelled, the data cannot be recovered, so please be careful.

To cancel the AI&MLOps Platform, follow the procedure below.

  1. Click on the menu for all services > AI/ML > AI&MLOps Platform service. It moves to the Service Home page of the AI&MLOps Platform service.
  2. On the Service Home page, click the AI&MLOps Platform Service menu. It moves to the AI&MLOps Platform Service List page.
  3. AI&MLOps Platform Service List page, click on the resource to check the detailed information. It moves to the AI&MLOps Platform Details page.
  4. On the AI&MLOps Platform details page, click the Cancel Service button. The Cancel Service popup window will open.
  5. To confirm, enter the service name and click Confirm.
  6. Once the cancellation is complete, please check if the resource has been cancelled on the AI&MLOps Platform service list page.
Overview
Cluster Deployment