From healthcare to financial services companies, customers tell us they need:
- A deeper understanding of the Cloud Volumes Service architecture delivered on AWS
- The ability to set correct expectations on how Cloud Volumes perform in an AWS environment and what limitations might exist that they need to be aware of
- A better understanding of how to best size for service levels and optimal cost balance
- A clear understanding of what applications and workloads are ideally suited for Cloud Volumes
Over the course of the next several days, we’ll answer these topics for you.
First, in our video below, we’ll cover expectations and potential limitations for Cloud Volumes for AWS. By understanding these, we can set proper expectations and have high assurance of positive outcomes for your applications with Cloud Volumes Service.
In later videos, we’ll discuss Cloud Volumes service levels and capabilities to best align the fit for your different applications. Cloud Volumes Service performance is based on service-level objectives, but performance is dependent on a number of variables. Also, we’ll explore Oracle dNFS, specifically, and the performance and benefits Cloud Volumes Service offers for Oracle on AWS as a key example of how all of this comes together.