Create a container

Deploy and run your containerized application in the Cloud, without managing any underlying infrastructure.

Step 1. Add a container image

If you don’t have sufficient resources to a create a Container, request quota increase.

1. In the Gcore Customer Portal, navigate to Cloud > Container as a Service.

2. Click Create container.

3. In the Container image section, select the image type: public or private. The difference between them is that a private image is secured with credentials.

4. Enter your image URL. For example, nginx:latest. For a private image, enter the URL in the format https://registry.mysite.com.

5. (Optional) Specify registry credentials. If you selected private image in the previous step, enter credentials for accessing that image. If you’ve already added createntials to the Customer Portal, choose them from the Credentials dropdown.

If you have no saved credentials, add them as follows:

• Image registry name: Registry name that will be displayed in the Credentials dropdown.
• Image registry URL: Link to the location where your application is stored.
• Image registry username: Username you use to access the storage location of your application.
• Image registry password: Password you use to access the storage location of your application.

To save the new credentials, click Create credentials.

(Optional) Set startup command. Enable the toggle if you want to execure a specific command when your container is initiated.

Step 2. Specify port

In the Port section, specify the port for connection to your container.

Currently, we support only one port for the container. If you need to add additional data, create a separate container.

Step 3. Choose container configuration

Select the required MB of memory and mCPU (up to 2260 mCPU and 4096 MB). This configuration will be used for the deployed Kubernetes pod, where your container will be placed after creation.

Step 4. Configure autoscaling

In the Limits of autoscaling section, enter the range for the number of nodes you want to maintain under Minimum pods and Maximum pods.

To ensure more efficient use of computational resources and consistent model performance, define scaling thresholds for CPU, RAM, GPU, GPU RAM, and HTTP requests resource utilization.

Click Add trigger to view and modify current thresholds:

• The minimum setting is 1% of the resource capacity. Only HTTP requests trigger can scale pods to and from 0.

• The maximum setting is 100% of the resource capacity.

By default, the autoscaling parameters are set to 80% but you can enter any percentage within the specified range.

You can combine any triggers or use a single one.

When setting up HTTP scaling, use small values with caution as it might affect the scale window—the time (in seconds) it takes to aggregate HTTP request rates for making scaling decisions. Low scaling value might cause unexpected scale triggers.

Step 5. Specify container lifetime

Enter the number of seconds after which a pod will be deleted when there are no requests to your pod. For example, if you enter 600, the pod will be deleted in 600 seconds—equal to ten minutes.

If you specify 0, the container will take approximately one minute to scale down.

Step 6 (optional). Add environment variables

(Optional) If you want to add metadata to your container, create variables in a form of key-value pairs. These variables will only be used in the environment of the created container.

Step 7 (optional). Configure authentication via API

To protect your container endpoints from unauthorized access, enable the API Key authentication feature. Either select an existing API key or create a new one.

Step 8. Finalize container configuration

Specify the container name (this will be displayed in the Customer Portal) and additional information if needed.

In the top-right corner of the screen, click Create container. After a few minutes, the initial setup will be finished and the container will be launched.