Access and Leverage Memory Metrics for Azure
CloudCheckr's Right Sizing reports allow you to optimize your virtual machines (VMs), App service plans, Microsoft SQL® servers, and Azure Cache for Redis by providing recommendations on how to best scale your instances up or down. No elevated permissions are required for you to access and use CloudCheckr’s Right Sizing reports.
Frequently Asked Questions
Click each text box to view the answers to some of the most frequently asked questions (FAQs) about our Right Sizing report.
By default, you do not need to complete any other additional requirements to enable the Right Sizing reports for App service plans, Microsoft SQL® servers, and Azure Cache for Redis.
To receive Memory Metrics for Microsoft Windows® or Linux® machines, follow these steps:
- In the Azure Portal, navigate to a VM.
- Under Monitoring, select Diagnostic Settings.
- On the Overview tab, click the Enable guest-level monitoring button.You will need to specify the Storage account where you will store the data.
- Under Monitoring, select Insights.
- Click the Enable button.
You can use an existing Log Analytics workspace or create a new one.
- Access the Log Analytics workspace.
- Under Settings, select Advanced Settings and then perform the following actions:
- Select Data. (Callout 1)
- Click Windows Performance Counters and/or Linux Performance Counters to enable your counters. (Callout 2)
- For Linux Performance Counters only, select the Apply below configuration to my machines checkbox. (Callout 3)
- Click the Add the Selected Performance Counters button. (Callout 4)
- Click the Save above the left navigation. (Callout 5)
CloudCheckr supports the following VMs:
CloudCheckr does not support these VMs:
CloudCheckr includes a score when it makes Right Sizing recommendations. The software calculates the score using a weighted average of your 30-day CPU Utilization and 30-day Memory Utilization statistics and normalizes this calculation using a scale from 0 to 10.
A low score indicates that the current VM is over-sized and CloudCheckr will recommend you downsize it. A high score indicates that the VM is under-sized and CloudCheckr will recommend you upgrade it.
CloudCheckr will also recommend moving a VM from one instance family to another—for example, downsizing from a D2s_v3 to a Standard A0 machine.
CloudCheckr scores VMs based on several parameters such as:
- Compute Hours
- VM Size
- Operating System
- Instance Family
CloudCheckr also includes additional factors such as estimates on whether or not the recommended size can handle the current instance workload.
No. CloudCheckr currently cannot right size Azure resources automatically.