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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 moment .
What would be your recommendation?
- A . 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.
B . Use the Managed Instance Group with Compute Engine
C . Inform them that new-age companies are using microservices, containers, and Kubernetes for this and they can plan to rewrite the app quickly.
D . Inform them that using a serverless option will take care of the scaling and they can move to Cloud Run or App Engine.
Suggested Answer: B
Explanation:
Scalability. When your apps require additional compute resources, auto scaled MIGs can automatically grow the number of instances in the group to meet demand. If demand drops, auto scaled MIGs can automatically shrink to reduce your costs
Explanation:
Scalability. When your apps require additional compute resources, auto scaled MIGs can automatically grow the number of instances in the group to meet demand. If demand drops, auto scaled MIGs can automatically shrink to reduce your costs
Posted : 07/01/2023 8:16 pm