A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be preallocated.
Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the moment.
What would be your recommendation?

Question

A customer has an application running in virtual machines. They are migrating this application to Google Cloud. They have previously had scaling issues when on-premises as VMs had to be preallocated.

Capacity planning was repeatedly off mark - it's either too many VMs or too less. They want to match the capacity to demand while keeping the application running always. They don't have the time or budget to re-architect the systems using containers and Kubernetes at the moment.

What would be your recommendation?

Joe Mon · Accepted Answer

Use the Managed Instance Group with Compute Engine

Joe Mon · Answer

Run a load test on Compute Engine VMs. Get an estimate of usage. Then plan for a VM capacity of 25% above the load test value.

Joe Mon · Answer

Inform them that new-age companies are using microservices, containers, and Kubernetes for this and they can plan to rewrite the app quickly.

Joe Mon · Answer

Inform them that using a serverless option will take care of the scaling and they can move to Cloud Run or App Engine.

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