Cost Optimization

Huawei Cloud provides you with flexible billing modes, such as pay-per-use, yearly/monthly, resource package, and spot pricing. You can choose whichever is best suited to your enterprise needs. The following describes the application scenario for each billing mode, so you can more easily select the one most likely to help you effectively reduce your expenditures:

Pay-per-use: You may only need to use cloud resources temporarily or for unplanned, urgent purposes.

Yearly/monthly: You want to cut down costs by choosing a long-term subscription, and your demand is stable during the subscription term.

Resource package: Similar to a yearly/monthly subscription, you can buy a resource package in advance to cover your usage of certain types of resources that you want to use in a long term.

Spot pricing: You do not have high requirements on service stability, and you can tolerate service interruption. This billing mode is currently available only for ECSs.

Huawei Cloud provides optimization recommendations on billing modes to help you reduce costs by changing to a more appropriate billing mode while maintaining resource performance.

Changing pay-per-use to yearly/monthly: Cost Center helps you analyze the usage of your pay-per-use resources (such as ECS, EVS, RDS) and identify places where you can save money by changing the billing mode from pay-per-use to yearly/monthly. You are advised to focus on optimization recommendations with high savings (large value for Estimated Monthly Savings) and low risks (small value for Break-Even Time).

Huawei Cloud monitors your historical expenditures and resource usage to identify idle resources, for example, idle cloud servers, and then gives you resource optimization recommendations. You can decide whether to adopt the recommendations based on the resource utilization, estimated monthly savings, and opinions of service teams.

Huawei Cloud Optimization Advisor (OA) provides cost inspection to help you quickly and accurately identify existing risks based on the provided optimization suggestions.

FinOps professional services can optimize the architecture from the service layout, resource planning, and data storage dimensions based on enterprise scenarios. For example, hybrid deployment of online and offline services improves resource utilization; decoupling of storage and compute enables on-demand use of compute and storage resources to avoid waste; and cold and hot data separation reduces cold data storage costs.