Take Back Your (Long) Weekends

Take Back Your (Long) Weekends

Posted in tech

Many IT pros don’t view holidays the same way as other departments. Holidays and long weekends are often the business “down time” that IT can use to (relatively) safely perform software upgrades, migrations, and hardware refreshes. It’s long been part of the job, but that doesn’t make working weekends any less of a drag when everyone else is spending time with family and friends. DataSphere automates live data mobility to give storage professionals back their nights, weekends and holidays. Let’s take a closer look at how.

Automated Migrations and Refreshes

Conventional migrations and upgrades require extensive planning and can take weeks or months to perform, in large part due to the need to minimize risk to data and the disruption of downtime when migrating storage systems.

DataSphere automates the placement and movement of data – transparently to applications – to virtually eliminate the risk of downtime. With DataSphere, the storage admin’s role becomes one of determining the levels of performance, protection and price that data requires. DataSphere will move the data to the lowest cost resource in its global namespace that meets its requirements. IT can migrate data via a simple policy change and perform hardware refreshes, even during business hours, without impacting business. Storage refreshes become a continuous, non-disruptive maintenance process, as opposed to a periodic, high-risk event.

Automated Maintenance and Increased Uptime

DataSphere also makes daytime tasks easier, as well. With DataSphere, IT pros can directly manage the needs of data by assigning performance (IOPS, bandwidth, latency) and protection objectives (durability, availability, and security) to data, down to the file level. Once objectives are applied, DataSphere automatically moves or places data on the ideal storage resource to meet those requirements, whether those are shared on-prem systems or in the cloud.

In the event of unexpected application activity, DataSphere can automatically and transparently redistribute data to restore alignment with the data objectives before end users even notice the problem. In fact, DataSphere uses machine learning to intelligently allocate storage resources with an enterprise’s unique data usage, protecting service levels far more effectively than traditional approaches. This allows storage admins to sign SLAs (Service Level Agreements) with much greater confidence, while reducing storage costs. It also means they can stop spending time running fire drills to manually move data to resolve contention issues.

Make Capacity Planning Simple

With DataSphere, IT can see instantly whether the organization needs additional performance or capacity, or when consumption is nearing thresholds, as well as subscribe to alerts and notifications. Deploying new resources is simple, as admins can add NAS capacity from any vendor, in a scale-out fashion, and even integrate seamlessly with the cloud, automating archival of cold data to free on-premises resources. Storage refreshes simply require decommissioning a device and then adding new performance or capacity to the DataSphere global namespace. DataSphere automatically rebalances data across the newly added resources appropriately. Armed with complete visibility and the ability to deploy new resources on demand, IT can save significantly on storage costs by greatly reducing storage overprovisioning.

Want to learn how you can get your holidays, nights, and weekends back, all while making your work more interesting and contributions more visible? Contact us a deepdive@primarydata.com to schedule a meeting or demo.

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