How Intelligence and Awareness Can Save Your Enterprise Millions
Posted in tech
Ever stop to think about how many applications and VMs IT teams manage across a datacenter of storage these days? For many enterprises, that number can reach into the thousands. Consider that for each app, IT has to estimate the potential storage needs, then install and configure a system that is estimated to meet demand for the life of the application. With that scale, manually fixing problems is not an option. As a result, enterprises often end up attempting to spend their way out of the problem, and even this is not always effective.
At the root of this problem is the fact that applications are not storage aware, which means they cannot differentiate which storage systems are fast, slow, expensive, or reliable. Since traditional systems don’t allow data to be moved between systems without interrupting application access (outside of virtualized environments, which still requires manual intervention to trigger a move), if the demands of an application changes beyond the system’s design, performance can slow for all applications with data on that storage device. DataSphere solves this problem by making application data storage aware and enabling data to transparently move across flash, shared, and cloud/object storage.
Storage Awareness Eliminates Unnecessary Costs
The costs of application unawareness impact top and bottom lines, as well as business continuity. DataSphere solves a number of issues that rack up costs for enterprises:
PROBLEM: Migration headaches keep data stuck until retirement. As data volume and diversity grows, IT is spending more time handling new requests. This time crunch makes it more stressful than ever to stop other projects when fire drill problems rise up. As a result, data typically stays on the storage where it was initially provisioned, until retirement when IT can move data to archival stores.
SOLUTION: DataSphere gives application data awareness of its requirements and storage resources and automatically remediates to ensure alignment to objectives. DataSphere gathers telemetry (metadata) from clients that it analyzes, in real-time, against IT-defined policies. IT can then use this information to move data intelligently and transparently across any storage system in its global namespace, on demand. For example, if the latency of an application’s access requests is too high, DataSphere can move data to storage that can meet those requirements. Conversely, other data might need capacity more than performance. To meet these demands, DataSphere can extend the life of existing storage by moving colder data off higher tiers.
PROBLEM: Bottlenecks hinder performance. Few applications are allotted budget for dedicated storage. When application workloads spike beyond the capabilities of storage, the remaining applications must endure slow performance until the storage system works through the I/O queue. This can create a top line cost to business, particularly when it affects customer-facing applications.
SOLUTION: DataSphere accelerates node and aggregate system performance. DataSphere offloads metadata operation to greatly reducing I/O queuing, while enabling applications to access multiple storage nodes in parallel to evenly distribute workloads. In addition, DataSphere is aware of application requirements and storage performance. Should any application fall out of alignment with its requirements, DataSphere transparently redistributes workloads with live data mobility.
PROBLEM: Overprovisioning creates overspending. In order to minimize the impact of performance bottlenecks, enterprises commonly buy far more capacity than they need. It’s not uncommon for IT to double each application’s expected capacity requirements. Importantly, this storage is typically of a type that can meet an application’s peak performance need, meaning it’s the most expensive storage the application will ever need.
SOLUTION: DataSphere gives IT comprehensive visibility into all storage resources and the ability to deploy new resources in minutes. This enables enterprises to greatly reduce the amount of overprovisioning required to protect business.
PROBLEM: Cold data hogs hot capacity, inflating the amount of performance storage companies require. While overprovisioning capacity is costly, so is storing cold data on Tier 1 storage. Studies have found that about 75 percent of data stored is typically inactive, or cold, meaning up to three fourths of storage capacity is being used inefficiently.
SOLUTION: DataSphere can automatically detect data that is cold and move it to more cost-effective storage. This ensures the most expensive storage resources are used for data that requires those capabilities. Organizations can recognize and immediate ROI on their existing investments, while greatly increasing the utility of new purchases. Enterprises have reported that moving cold data off their Tier 1 systems could save them millions on their next major storage upgrade.
With DataSphere, enterprises can finally make application data storage aware, while automating data placement, transparently, across all available infrastructure. This improves service levels for all applications, while reducing costs by ensuring that data is placed on the ideal storage for its needs.
In addition, IT can stop spending time planning and moving data around. Instead of designing fixed systems for each application and running fire drills when plans go awry, they can create policies that define business objectives and let DataSphere handle the movement and placement of data. IT can even create tiered service catalogs that enable business owners to set application service levels on their own – with the ability to see the cost of their choices.
Want to learn more about how DataSphere can make migrations seamless, accelerate performance of your existing storage, cut costs, and increase Tier 1 storage utilization? Visit the DataSphere product page or connect with us at email@example.com to schedule a meeting or demo.