CLOUD-DIGITAL-LEADER · Question #103
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 pre…
The correct answer is B. Use the Managed Instance Group with Compute Engine. Scalability. When your apps require additional compute resources, autoscaled MIGs can automatically grow the number of instances in the group to meet demand. If demand drops, autoscaled MIGs can automatically shrink to reduce your costs…
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 pre- allocated. 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 mo- ment. What would be your recommendation?
Options
- ARun a load test on Compute Engine VMs. Get an estimate of usage. Then plan for a VM capacity
- BUse the Managed Instance Group with Compute Engine
- CInform them that new-age companies are using microservices, containers, and Kubernetes for
- DInform them that using a serverless option will take care of the scaling and they can move to
How the community answered
(52 responses)- A6% (3)
- B81% (42)
- C12% (6)
- D2% (1)
Explanation
Scalability. When your apps require additional compute resources, autoscaled MIGs can automatically grow the number of instances in the group to meet demand. If demand drops, autoscaled MIGs can automatically shrink to reduce your costs https://cloud.google.com/compute/docs/instance-groups
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