Managing Evolving Datacenter Needs with Smart Objectives
Posted in tech
Hot applications often create storage scrambles in the datacenter. This tends to happen when a resource can’t meet application needs during times of high demand. Until recently, there was no automated way to move the application data to another storage type that met the application’s requirements during a peak demand period.
Through data virtualization, DataSphere creates a universal dataspace that allows data to be moved non-disruptively from one storage type to another. This proactively prevents applications from running out of runway during peak demands, and also ensures that applications are continually using the best resource for their evolving needs. DataSphere achieves this through objective-based policies, which automatically identify when a storage resource is not meeting the application’s objectives, and responds by moving data to ensure requirements are met.
Simplify and Speed the Great Migration
In the past, upgrading datacenter storage resources has required lengthy planning, purchasing and implementation cycles followed by data migrations and possible downtime. DataSphere makes this process simple. With the global dataspace that DataSphere makes possible, data is automatically transferred to the most fitting storage solution. IT assigns objectives to the data, and those policies define where the data is best stored. The process of moving data from one storage solution to another happens without disrupting applications or business operations.
DataSphere also eliminates the need to assign objectives manually. In addition to the recommended objectives library admins can choose from when installing DataSphere, the Smart Objectives feature enables objectives to be applied to data by matching patterns and names. Smart Objectives can also be based on activity levels or data aging. This makes it fast and simple to assign high-value data to high-security storage, while old data can be assigned to long-term tiers.
The Datacenter’s Crystal Ball
Smart Objectives also analyze data access and storage performance history to draw conclusions about when data may need to be moved in order to continue maintaining objectives. This greatly improves infrastructure management and eliminates the need to overspend by overprovisioning storage to exceed possible data needs. Instead, DataSphere offers organizations an opportunity to let the datacenter adapt to its data, in real-time. With a global dataspace, new resources can be added easily as demand arises.
DataSphere also offers a simple and effective way to track storage capacity as more and more data is created. With visibility features, admins can create a log of the objectives the datacenter can still achieve, providing an efficient solution to keeping track of all varieties of capacity, so you can stay many steps ahead of potential issues.
The Future of Storage, Today
For years, staying ahead of storage has been a sprint that has kept admins on their toes to try to stay ahead of datacenter demands years in advance. DataSphere enables teams to be more agile than ever before. Enterprise CIOs and IT teams get a clearer picture of what’s ahead. They gain the agility to adapt on the move as data is placed on the right storage at the right time. By automatically aligning application objectives to the storage that meets data needs, Smart Objectives finally deliver on the long-awaited promise of a true software-defined datacenter.