How-to guides
Create AI&MLOps Platform
Users can create the service by entering the required information for the AI&MLOps Platform and selecting detailed options through the Samsung Cloud Platform Console.
To create an AI&MLOps Platform, follow these steps.
- Click the All Services > AI/ML > AI&MLOps Platform menu. You will be taken to the Service Home page of AI&MLOps Platform.
- Service Home page, click the AI&MLOps Platform Create button. You will be taken to the AI&MLOps Platform Create page.
- On the AI&MLOps Platform creation Service Type Selection page, enter the information required to create the service and select detailed options.
- Select the service type in the Service Type and Version Selection area.
Category RequiredDetailed description Service type Required Service type selected by the user - AI&MLOps Platform
- Kubeflow Mini
Service type version Required Select version of the selected service - Provide a list of versions of the offered service
Table. AI&MLOps Platform service types and version selection items - Cluster Deployment Area Classification Select the options required to create a service in this area.
Category RequiredDetailed description Cluster deployment area Required - Deploy from Kubernetes Engine: Select the previously created Kubernetes Engine
- Deploy to a new cluster: When creating the AI&MLOps Platform, also create a Kubernetes Engine
Table. AI&MLOps Platform Service Cluster Deployment Area Classification ItemsReferenceThe configuration elements on the following Service Information Input page vary depending on the cluster deployment settings.
- Select the service type in the Service Type and Version Selection area.
- On the Service Information Input page of AI&MLOps Platform Creation, enter the information required to create the service and select detailed options.
- You can select the cluster deployment region.
- For instructions on configuring Deploy to a new cluster, see the Deploy to a new cluster guide.
- Deploy on SCP Kubernetes Engine For configuration, refer to the Deploy on SCP Kubernetes Engine guide.
- Refer to the Kubernetes Cluster specifications guide for the Kubernetes cluster specifications required for installation.
- You can select the cluster deployment region.
- On the Creation Information Check page of AI&MLOps Platform creation, review the detailed information you created and the estimated billing amount, and click the Complete button.
- Once creation is complete, check the created resources on the AI&MLOps Platform Service List page.
Check detailed information of AI&MLOps Platform
The AI&MLOps Platform service allows you to view and edit the full list of resources and detailed information. AI&MLOps Platform Service Details page consists of Details, Tags, Activity History tabs.
To view detailed information about the AI&MLOps Platform service, follow the steps below.
- Click the All Services > AI/ML > AI&MLOps Platform Service menu. Navigate to the Service Home page of the AI&MLOps Platform Service.
- On the Service Home page, click the AI&MLOps Platform menu. You will be taken to the AI&MLOps Platform Service List page.
- On the AI&MLOps Platform Service List page, click the resource to view detailed information. You will be taken 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, Activity History tabs.
Detailed Information
AI&MLOps Platform Service List page lets you view detailed information of the selected resource and edit the information if needed.
| Category | Detailed description |
|---|---|
| service | Service name |
| Resource Type | Resource Type |
| SRN | Unique resource ID in Samsung Cloud Platform |
| Resource name | Resource name
|
| Resource ID | Unique resource ID in the service |
| constructor | User who created the service |
| Creation date and time | Service creation date and time |
| editor | User who edited the service information |
| Modification date | Date and time the service information was modified |
| Dashboard status | Dashboard status value |
| Service name | Service name |
| Admin Email Address | Administrator email address |
| image name | Service image name |
| Version | Image version |
| Service type | Deployed service type |
tag
AI&MLOps Platform Service List page lets you view the tag information of the selected resource, and you can add, modify, or delete it.
| Category | Detailed description |
|---|---|
| Tag list | Tag list
|
Job History
AI&MLOps Platform Service List page lets you view the operation history of the selected resource.
| Category | Detailed description |
|---|---|
| Task History List | Resource Change History
|
Access AI&MLOps Platform
To access the AI&MLOps Platform dashboard, you must complete the prerequisite steps.
Preliminary work
To access the AI&MLOps Platform, you must preconfigure the relevant ports and the IP addresses required for connection in the Security Group and Firewall (if using a firewall).
Kubeflow Mini: port 31390 (inbound rules of Security Group, VPC firewall)
To access the cluster’s worker node, you must set an inbound rule for port 22 on the Security Group and Firewall (when using a VPC firewall).
Access Dashboard
To access the AI&MLOps Platform service, follow these steps.
- Click the All Services > AI/ML > AI&MLOps Platform Service menu. You will be taken to the Service Home page of the AI&MLOps Platform service.
- Click the AI&MLOps Platform Service menu on the Service Home page. You will be taken to the AI&MLOps Platform Service List page.
- Click the resource to view detailed information on the AI&MLOps Platform Service List page. You will be taken to the AI&MLOps Platform Details page.
- AI&MLOps Platform Details on the page, click the Access Guide button. The Access Guide popup window opens.
- Access Guide In the popup window, click the dashboard’s URL link. You will be taken to the corresponding dashboard page.
Terminate AI&MLOps Platform
You can cancel the unused service to reduce operating costs. However, canceling the service may cause the running service to stop immediately, so you should thoroughly consider the impact of service interruption before proceeding with the cancellation.
To cancel the AI&MLOps Platform, follow the steps below.
- Click the All Services > AI/ML > AI&MLOps Platform Service menu. Navigate to the Service Home page of the AI&MLOps Platform Service.
- On the Service Home page, click the AI&MLOps Platform Service menu. You will be taken to the AI&MLOps Platform Service List page.
- Click the resource to view detailed information on the AI&MLOps Platform Service List page. You will be taken to the AI&MLOps Platform Details page.
- AI&MLOps Platform Details on the page, click the Cancel Service button. The Cancel Service popup will open.
- After entering the service name for verification, click Confirm.
- When termination is complete, check on the AI&MLOps Platform Service List page whether the resource has been terminated.