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Resource optimization

Focus on identifying and optimizing unnecessary or inefficient cloud resource usage. By analyzing the usage of servers, hard disks, and other instances in cloud service providers such as AWS and GCP, this module can automatically propose suggestions to shrink or terminate these instances, thereby reducing enterprise cloud costs. The implementation of this function is based on advanced algorithms and models that ensure cost optimization without compromising business continuity.

Identify strategies​

In the Identification Strategy tab of the Cost Optimization module, all the identification strategies predefined by the current system are listed.

List of strategies​

In the "Identification Strategy" Tab of the "Cost optimization" module, all the identification strategies predefined by the current system are listed.

  • Identify policies: Mark the name of a policy, which cannot be changed.
  • Identify objects: SavingsNow's identification strategy covers seven different cloud products or resources from two cloud providers: AWS and GCP. These include Amazon EC2, Amazon EBS, Amazon EIP, GCP Instance, GCP Disk, GCP Image, and GCP IP.
  • Policy metrics: Metrics used to measure whether different cloud products or resources are in good condition, such as CPU utilization, memory usage, network traffic, etc.
  • Identification period: Default is 1 day.
  • Status: Includes both enabled and disabled statuses.
  • Optimizable resources: Counts the number of resources found by the current policy during the identification period that can be optimized.

Policy deactivation​

  • Go to the "Identify Strategies" Tab of the "Cost Optimization" module, select a strategy in the list, and click the [Deactivate] button in the action column.
  • Users can deactivate the policy by clicking the [Confirm] button in the reconfirmation prompt box; Click the [Cancel] button and the policy to not be deactivate the policy.

Identify the results​

The recognition result function is the key part to organize, summarize, and present the conclusions analyzed by the "Recognition strategy" module.

This function aims to provide users with clear and intuitive resource optimization suggestions, so they can quickly understand current cloud resource usage and make corresponding optimization decisions. The recognition result consists of two parts: "Result Overview" and "Result List".

To ensure timely updates, a [manual Update] operation is provided at the top right of the page, allowing users to refresh the recognition results themselves (limited to once per hour).

Overview of Results​

For the seven typical cloud products or resource types currently supported, the corresponding resource optimization analysis conclusions are summarized in the results overview section. This includes:

  • Current estimated monthly expenditure cost
  • Estimated monthly expenditure cost after optimization
  • Estimated monthly savings after optimization
  • Estimated monthly savings proportion after optimization

Note: AWS EC2, as one of the most widely used and diverse cloud products, has particular considerations in cost optimization analysis. Therefore, in addition to the basic resource usage data, the following two factors are integrated into the analysis:

  • Instance series: cross-instance series, same instance series.
  • RI and SP Inclusion: Includes RI and SP, and does not include RI and SP.

Result List​

In the result list, the resources identified based on optimization analysis and the corresponding optimization strategies for different cloud products are listed.

According to the product type, the corresponding optimization proposal data in the identification structure list is also different. Among them:

  • Product type: Amazon EC2
    • Display data including resource ID, resource name, optimization type, optimization suggestion, proposed instance type, current on-demand price, estimated monthly savings, savings opportunity, cloud account/cloud vendor project, cloud vendor, cloud service, region, label, identification strategy, identification cycle, metric results.
  • Product type: Amazon EBS
    • Display data including resource ID, resource name, optimization type, optimization proposal, proposed instance type, proposed on-demand price, current instance type, current on-demand price, estimated monthly savings.
  • Product type: Amazon EIP
    • Display data including resource ID, resource name, optimization type, optimization suggestion, proposed instance type, proposed on-demand price, current instance type, current on-demand price, estimated monthly savings, savings opportunity, cloud account/cloud vendor project, cloud vendor, cloud service, region, label, identification strategy, identification cycle, metric results, IP address.
  • Product types are: GCP Instance, GCP Disk, GCP Image, GCP IP
    • Display data including resource name, optimization suggestion, current monthly price, cloud account/cloud vendor project, cloud vendor, cloud service, region, identification strategy, and identification cycle.

Considering the potential large number of resources to be optimized, users can also combine different screening conditions based on dimensions such as region, cloud account, instance type, optimization type, identification strategy, label, and label value. This allows for more accurate resource retrieval and purposeful optimization actions.

Results Download​

Click the [Download] button at the top right of the result list to download a CSV file containing all the results for opening and viewing locally.