The Difference Between Data Migrations and Storage Migrations
Posted in tech
Let's be frank. Storage migrations suck. Moving data from one system to another takes time, planning, and often downtime, which means IT is working weekends and holidays to get the job done. DataSphere helps IT leave all of this behind by moving from traditional storage migrations to automated data migration. Automated data migration enables IT to set policies and get the right data to the right place at the right time, throughout the lifecycle of data and storage systems.
By making different types of storage (like flash, shared and cloud storage systems) available in a single global namespace, data can finally move easily to meet changing business demands. This data tiering saves budget and makes it possible for IT to stop overspending on overprovisioning years in advance of actual demand. As hot data cools, data migration moves it automatically to a lower cost resource, and policies can ensure data that needs to stay on-premesis does just that, no matter how cold it might get. This approach offers key advantages over storage migrations:
- Reduced costs. With conventional storage migrations, IT typically selects a storage system that meets expected demands for years to come. This approach is wasteful, since about 75 percent of data stored is typically inactive. It also locks IT into today’s storage options, and given how quickly technology advances, companies can then be locked in to an older system until its time for the next refresh. DataSphere objectives enable enterprises to tier data across different types of storage systems, from different vendors, according to policy. This cuts costs by enabling enterprise to reclaim Tier 1 capacity and to deploy new resources quickly to safely increase capacity utilization, and makes it easy to adopt new storage easily, whether those resources are on premesis or in the cloud – more on this below.
- Increased uptime. Conventional storage migrations require extensive
planning and multiple steps to minimize disruption or downtime when migrating
storage systems. DataSphere’s unique architecture allows for migrations to
occur while files are open and data is actively being accessed. This enables IT
to migrate data, at any time, without impacting business.
- Simple hardware replacement. With DataSphere, the process of
refreshing storage takes just a few hours. New storage can be added to
DataSphere’s global namespace in minutes. Admins can trigger DataSphere to move
data off old storage with a simple policy change. Once DataSphere has moved data
off the old storage system, hardware can be repurposed or removed.
- Seamlessly integrate with cloud or object storage. DataSphere makes
it easy to integrate cloud or object stores as part of any migration project.
DataSphere can see what data has not been used and migrate it to an archive,
according to IT-defined policies. This can greatly reduce Tier 1 capacity
costs, extend the life of existing storage, and enable enterprises to
accelerate cloud adoption initiatives.
- Perpetual optimization. DataSphere’s ability to move data
transparently, extend its benefits beyond the migration itself. If a noisy
neighbor starts impacting an application’s service levels, DataSphere will
intelligently redistribute data across storage, transparently to applications.
This means IT can finally say goodbye to lost nights, weekends, and holidays
performing emergency migration fire drills.
- Dramatically accelerate traditional migrations. As mentioned,
DataSphere eliminates the need for extensive planning to minimize downtime,
which can save organizations months. But even if IT needs to truly just get
data off one system and onto another, DataSphere accelerates the physical
movement of data off old hardware through its ability to copy data across
multiple storage systems, in parallel.
With DataSphere, data migrations no longer have to be a stressful event and instead become a business opportunity for IT to add value by optimizing infrastructure use to meet changing data demands. Admins can add whatever new performance, capacity and features they want, on demand, and decommission storage through a simple policy change. DataSphere will automatically and non-disruptively migrate data off the old storage device and onto the ideal storage resources in the global namespace to meet IT-defined business objectives.
To learn more, check out our data migration technology brief or drop us a line at firstname.lastname@example.org to schedule a discussion or demo, or join us June 20 for a webinar with Storage Switzerland - RSVP today!