WHITE PAPER:
With the emergence of cloud computing, businesses are looking to increase their storage capacity to support the increase in digital content . Access this white paper to learn how about scale-out-storage initiatives that will benefit your business.
EGUIDE:
This exclusive guide illustrates 5 key tips to help you tackle data center capacity planning. Read on to receive advice on how to prepare for IoT projects, use MIPS and MSU to measure mainframe capacity, and more.
WHITE PAPER:
Discover how proactive and automated workload management can help you maximize virtualization ROI and deliver truly optimized workload performance. Read on to discover what most virtual management tools are lacking and how you can gain the analytical abilities you need.
WHITE PAPER:
The flexibility and cost alternatives provided by virtualization, cloud computing and SaaS present organizations with a choice of platforms to run applications or a business service. These computing models highlight the need for a better capacity management process. Learn about effectively managing capacity for improvements in business services.
PRESENTATION TRANSCRIPT:
This presentation transcript discusses how to maximize efficiency in data storage environments and also outlines capacity utilization efficiency, including data archiving technologies.
WHITE PAPER:
SUSE needed a new storage infrastructure to accommodate over 80TB of data to host its core SUSE Linux Enterprise internal development environment. This case study illustrates how SUSE utilized one storage solution to address these issues and, in turn, reaped the many benefits.
CASE STUDY:
Discover how an award winning production company deployed NetApp tiered storage used as a mobile "flight case" to help process on-set dailies.
DATA SHEET:
This informative paper examines a backup and recovery software solution that can help you increase your backup and restore success, streamline compliance, improve backup performance and much more. Read on to learn more.
WHITE PAPER:
Many enterprises rely on Hadoop to manage and analyze large volumes of data, and as such, they are looking to deploy the right architecture to optimize compute and storage requirements. The traditional approach is running Hadoop on DAS -- but is there a better way?
