P – is Protection. As your critical and sensitive data will exist across a hybrid platform – you still need to be able to protect it and recover it. In today’s world the sheer volume of data has created stress points for legacy enterprise backup/recovery solutions.
PRIDES of Digital Transformation: What you need to solve for when you undertake a Digital Transformation Initiative. P=Protection … R=Resourcing … I=Identity … D=Data … E=Experience … S=Security.
P – is Protection. As your critical and sensitive data will exist across a hybrid platform – you still need to be able to protect it and recover it. In today’s world the sheer volume of data has created stress points for legacy enterprise backup/recovery solutions. A Digital Transformation initiative will likely result in data being stored, accessed, and updated across hybrid platforms. Those hybrid platforms could be Software as a Service, Infrastructure as a Service, Platform as a Service, or even Mobile. This new environment creates significant complexities to an organization’s need to protect enterprise data.
The relatively new world of “Data as a Service” solves the Protection issue and more. The solutions virtualize data which frees it from infrastructure, making it easier to access and cheaper to protect. Data virtualization is becoming an accepted best practice among enterprise customers looking to establish hybrid cloud architectures. The benefits from Data as a Service become:
- Freeing data from infrastructure captures the data directly from applications. This lets you put it wherever you like over its full life cycle.
- Virtualizing data de-risks cloud vendor selection by making it easier to move data into, out of, and across private and third-party clouds.
- You can mount virtual copies instantly – anywhere, rather than moving redundant copies from place to place each time you need one.
- Eliminates the need for siloed backup and DR point solutions along with the complexity and costs that come with them.
- Provides migration paths of use cases from vaulting, to analytics, to test data management for DevOps, backup, and DR.
The new approach is based on a new data management model architected down from the applications you need rather than what was architected up from the infrastructure. Virtualizing data decouples it from the infrastructure just as we have decoupled compute from servers. The new model efficiently works across whatever hybrid cloud you have or expand into – capturing data directly from your applications, managing it where you want to, and using it however you need to, no matter where it happens to be at the time: Your Data Center, DR site, MSP Partner, Amazon, Azure, Google, Oracle, IBM SoftLayer, etc. by enabling data to be delivered as a service.