GKE instance scaling fails due to quota exceeded errors

Title

You may see a quota exceeded error when Flexera tries to scale Google Kubernetes Engine workloads by creating new compute instances.

This issue usually occurs when your Google Cloud project does not have enough regional quota for the requested machine type. Understanding how quotas work and how machine type changes affect them helps you restore successful scaling.

Solution

Review the error message
When scaling up, Flexera may show an error similar to the following:
- ERROR, Can't Spin Instance: Code: QUOTA_EXCEEDED Message: Quota 'M1_CPUS' exceeded. Limit: 0.0 in region <region>
Check your current Google Cloud quotas
This message means the project has no available quota for the requested CPU type in that region. Google Cloud enforces resource quotas per project and per region. If the quota for a specific machine family is zero or fully consumed, new instances cannot be created.

Review your quotas in the Google Cloud Console and confirm that the region you are scaling in has available CPU quota for the required machine type.
Request a quota increase if needed
If the quota is insufficient, request a quota adjustment from Google Cloud. Quota increase requests are reviewed and approved by Google Cloud, not Flexera.
Account for machine type prefix changes
Some machine types have transitioned from the n1 prefix to the m1 prefix. If your configuration or quota expectations still assume the older prefix, Flexera may attempt to launch instances that rely on a different quota category.

Make sure your quotas include capacity for the current machine family being used.

Outcome

After the correct regional quota is available for the active machine type, Flexera can successfully create new instances and scaling resumes without quota exceeded errors.

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Ocean

Visibility

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GKE-instance-scaling-fails-due-to-quota-exceeded-errors

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Case id: 00001065