Data Modernization
- How to best transition to scalable and efficient infrastructures without disturbing current business processes.
- How to manage increasing quantity and speed of new data arrival.
- How to evaluate critical data soon enough to make business decisions.
Cloud Planning
Cold storage is not usually appropriate for active mission-critical data. The service level should be measured based on the expected client experience rather than an overall average.
Client bandwidth determines how quickly data is transferred, not the cloud provider.
Different clients may need different levels of self-service management. Do-it-yourself management can be necessary for governance but may cost more. Most providers offer management software and support other third-party management software.
Cloud Deployment
To read more about PowerVS and Hybrid cloud.
Container Planning
Rather than the usual host-level monitoring, containers should be reviewed at the service level.
Micro services applications must have integrated storage with the workflow. This should be done to make the operation as efficient as possible.
Network automation is preferable to relying on the usual networking stack.
Automated management is essential due to container complexity.
Kubernetes is often used to control the orchestration layer (which maintains correct operation) and scheduling layer (which puts the container on the best hosts within the cluster).
Privacy compliance in the cloud can take two forms. Either the cloud provider offers compliant storage or the client controls data access and storage locations.
Cloud providers might not make regular backup copies of data for on-prem systems. Therefore, cloud-to-cloud backup may be needed to have redundant cloud-based data in another region or stored with another provider.
The type of data a client stores affects the costs, data protection levels, management requirements, and governance.