You want to select and configure a cost-effective solution for relational data on Google Cloud Platform. You are working with a small set of operational data in one geographic location. You need to support point-in-time recovery. What should you do?
Option A looks like the way to go. Cloud SQL is a cost-effective relational database that should meet the requirements, and the binary logging will provide the point-in-time recovery needed.
Hmm, I'm a bit unsure here. I'm trying to decide between Cloud SQL and Cloud Spanner. I'll need to review the differences in more detail to determine the best fit for this small operational dataset.
I'm a little confused by the Cloud Spanner options. Isn't that more for large-scale, highly scalable workloads? For a small set of operational data, I think Cloud SQL is the better choice here.
I feel pretty confident about this one. Based on my experience with Citrix App Layering, I think the best approach is to export all the layers from Site A and then import them into Site B. That way, I know everything will be in sync across the two datacenters.
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