Yearly/Monthly

Application Scenarios

In yearly/monthly mode, you need to first pay for a certain duration. This mode is suitable for services

with the following characteristics:

• Users can estimate the resource usage period based on service requirements.
• Stable service scenarios.
• Resources need to be used for a long time.

Billing period

The billing cycle of a yearly/monthly MRS cluster is determined by the service duration (UTC+8). A billing cycle starts from the time (accurate to seconds) when your MRS cluster is successfully started or renewed and ends at 23:59:59 on the expiration date.

Yearly/Monthly clusters that have not expired can also be unsubscribed from. In this case, the billing end point is when the cluster is successfully unsubscribed from. For details, see Unsubscribing from Resources in Use.

For example, if you purchase an MRS cluster for one month at 2023/06/08 15:50:04, the billing cycle is from 2023/06/08 15:50:04 to 2023/07/08 23:59:59.

Impact on Billing After Specification Change

If the specifications of the current yearly/monthly MRS cluster resources do not meet your service requirements, you can modify the specifications on the MRS console. MRS provides the following configuration modification methods:

• Scale Out: Manually add Core or Task nodes. For details, see Manually Scaling Out a Cluster.
• Auto Scaling: The number of nodes in a cluster can be automatically adjusted based on the service data volume to increase or decrease resources. For details, see Configuring Auto Scaling Rules.
  

  • During cluster creation, if only the AS value range is configured for the Task node but the number of instances is not configured, no actual fee is generated. The price will include the auto scaling fee after you configure both the auto scaling range and instance count. When the auto scaling conditions are met, the actual fee will be affected after node scaling.
  • If you add nodes through the auto scaling function, the added nodes will be billed by the actual usage duration per hour regardless of whether the cluster's billing mode is yearly/monthly or pay-per-use mode.

Scale-in affects the performance of the MRS cluster. Therefore, you are not advised to perform this operation. The scale-in node is charged based on the actual usage duration, and the subsequent fees of the cluster will not be charged.

Impact of Expiration

Figure 1 describes the status of yearly/monthly MRS cluster resources in each phase. After a resource is purchased, the resource runs properly within the billing period. This phase is the validity period. If the resource expires but is not renewed, the resource enters the grace period and retention period.

Figure 1 Lifecycle of Yearly/Monthly MRS Resources

Expiration Reminder

Within seven days before a yearly/monthly MRS cluster resource expires, the system pushes an expiration warning message to the user. through the email address or mobile number you used to create your Huawei Cloud account or through internal messages.

Impact of Expiration

If your yearly/monthly MRS cluster resources expire and are not renewed, the grace period starts. During the grace period, you can use the MRS cluster, but the following fee-related operations are restricted:

• Scaling out a cluster
• Scaling In a Cluster
• Adding Task nodes
• Unsubscribing from a Cluster

If you do not renew a yearly/monthly MRS cluster within the grace period, the cluster enters the retention period and the resource status changes to Frozen. You cannot perform any operation on the cluster in the retention period.

After the retention period expires, if the yearly/monthly MRS cluster is not renewed, the cluster service will be terminated and the data in the system will be permanently deleted.

• For details about renewal, see Introduction.