Automation Through Orchestration: DataSphere Now Available
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Primary Data today announced the launch of DataSphere, the industry’s first enterprise data orchestration software platform. Let’s take a closer look at what data orchestration is, and what it means to enterprise datacenters.
The Storage Silo Problem
Storage diversity across flash, cloud, hyper-converged, and traditional systems give enterprises the right storage tool for any job. The problem is that, until now, data is hard to move across storage systems. As a result, IT is forced to choose which storage system makes the most sense for data over the majority of its lifecycle, as data likely won’t get moved until it is time for the next hardware refresh.
This means that IT typically overprovisions both storage performance and capacity to avoid the business disruption that migrations and upgrades entail. In addition, it is common for business units to reserve much more storage than applications actually need so they don’t have to go through the hassle of securing additional budget down the road and the complicated task of adding storage to an existing storage system.
This excessive over purchasing of storage greatly reduces the effectiveness of enterprise storage investments. Ironically, even though, huge amounts of storage resources sit idle in the datacenter, the inability to move data quickly as business needs evolve is making capacity growth one of the leading concerns for most enterprise IT departments.
Freeing Data Through Data Virtualization
DataSphere unites heterogeneous storage resources across file, block and object protocols by separating the data path from the control path through data virtualization. The uniquely storage-agnostic DataSphere architecture gives customers the flexibility to easily add new storage resources to their infrastructure. By connecting storage resources across a global dataspace, DataSphere enables data to move across storage resources without impacting application access. This enables organizations to significantly increase utilization of existing storage to reduce overprovisioning and save budget.
Automating IT Data Management and Storage Services though Data Orchestration
Enabling data to move across heterogeneous storage is an important step, but even with this capability, IT does not have time to manually move data throughout the day, week or month. DataSphere automates datacenter agility, giving admins the ability to assign policies, down to file-level granularity, that automatically adapt data placement across storage resources.
DataSphere automatically aligns application I/O with available storage resources to meet the application owner’s business needs. In addition, Smart Objectives, a unique feature of DataSphere, can be applied to shares that contain files that match patterns for file types (for example, .dat, .tmp, .sql, and .log). Smart Objectives can also match data that has been accessed within a certain time period (say, within the last hour), or that has not been accessed in a certain time period (say, 30 days).
As storage resources are added, business needs evolve, and policies change, data is load balanced across all available resources in real-time to ensure business requirements are continually met, minimizing overprovisioning and the cost of maintaining individual storage silos for each application.
The Benefits of Data Orchestration
The DataSphere platform delivers numerous benefits to enterprises, including the ability to:
· Simplify management by converging data using automated orchestration across all storage
· Reduce costs of overprovisioning up to 50% by increasing storage utilization
· Respond instantly to new and changing application needs
· Increase application uptime during migrations and upgrades
· Gain agility and storage choice by enabling scale out storage with any vendor
To learn more about how data orchestration can improve your application service levels, while reducing datacenter costs:
VMworld 2016 U.S. attendees can see DataSphere in
action at booth 2123 from
August 28 – September 1, 2016.
· Contact a Primary Data representative to arrange a no-cost trial at email@example.com.