What’s Your Problem? Survey Uncovers Top Sources of IT Pain
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Primary Data just announced the results of a recent Storage Census of over 300 IT professionals conducted at VMworld 2017. In the survey, attendees were anonymously asked about storage and data management at their enterprise. The majority of the 313 respondents worked at large enterprises with 1,000 to 5,000+ employees, and their companies were mostly over ten years old.
The survey showcased the conflicting pressures currently faced by IT leaders, as those surveyed included delivering performance, executing data migrations, meeting expectations with existing budgets, and integrating the cloud into their infrastructure among the biggest challenges facing their departments today. Let’s take a closer look at how DataSphere software solves each of these challenges.
Figure 1 - The biggest challenges IT teams face today.
Performance Under Pressure
38% of respondents selected performance as their biggest challenge for IT, making it the most pressing IT issue named in the survey. In the age of IoT (Internet of Things) and Big Data, it’s hardly surprising that supporting rapidly growing data volumes, new data types, and many more data sources is proving to be a challenge.
DataSphere’s high-performance architecture delivers the performance, scalability, and tools for managing data at petabyte-scale enterprises.Offloading metadata access with DataSphere delivers predictable, low-latency metadata operations by guaranteeing that metadata operations do not get “stuck” in the queue behind other data requests. Rather than having to wait for sequential operations to complete, DataSphere can leverage parallel access with the latest optimizations of the standard NFS v4.2 protocol. Leveraging NFS v4.2 significantly speeds up metadata and small file operations by requiring less than half of the protocol-specific network round trips compared to NFS v3. DataSphere also makes performance fire drills a thing of the past, as intelligent data management proactively identifies and automatically remediates hot spots.
Migrations were listed as the second most common headache for storage professionals, affecting 36% of those surveyed. 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 tiers data to the lowest cost resource in its global namespace that meets data requirements. IT can migrate data via a simple policy change and perform hardware refreshes, even during business hours, without impacting business. Migrations whether for storage refreshes or app retirement become a continuous, non-disruptive optimization process, as opposed to a periodic, high-risk event.
Slashing Data Management and Infrastructure Costs
Close on the heels of performance and migration problems comes budget challenges, with 35% of IT pros putting budget challenges among their top headaches. DataSphere cuts costs in several ways. First, DataSphere can automatically and transparently move warm and cold data off performance resources to dramatically extend the life of an organization’s most expensive infrastructure. Second, DataSphere enables organizations to dramatically increase the utilization of their existing resources. DataSphere increases data visibility and control, enabling organizations to view data location and alignment with SLAs, as well as available performance and capacity resources. This allows IT to instantly view resources that might be nearing thresholds, subscribing to alerts and notifications for these thresholds. DataSphere also enables IT to add more of any type of resources within minutes, reducing the amount of overprovisioning enterprises need to protect business.
The new DataSphere Data Profiler makes it easy for enterprises to visualize these cost savings, and can operate independently as a standalone application or within Primary Data’s DataSphere platform. It analyzes data usage information to assess enterprise storage utilization, evaluate data management strategies and project the savings possible by leveraging cloud or on-premises object storage resources. When deployed with DataSphere, enterprises can quickly put their customized data management strategies into action with automated data migration, tiered storage across their enterprise infrastructure and adding low cost cloud storage for cold data management.
Figure 2 - The DataSphere Data Profiler makes it easy to visualize how data policies affect storage performance, capacity, and overall budget.
Advancing Cloud Adoption
Cloud adoption ranked fourth on the list of enterprise IT challenges, with 27% of respondents listing ranking cloud adoption among their top issues. This is not surprising, as respondents also estimated that at least 60% of their data is cold.
DataSphere enables organizations to seamlessly integrate with the cloud, using it as just another storage tier. DataSphere’s cloud integration capabilities include the ability to automatically identify cold data, accelerated cloud transfers, seamless snapshotting to the cloud, and automated movement of data between on-premises storage and multiple clouds, including granular retrieval of data back on-premises so organizations can use it as a cost-effective active archive.
IT has their hands full delivering performance for data demands protecting uptime, and implementing “cloud first” initiatives, all on a tight budget. Fortunately, DataSphere can automatically overcome all these challenges. Read more about DataSphere on our product page or talk specifics, by contacting us at email@example.com to schedule a meeting or a demo.