EGUIDE:
Most IT disasters have nothing to do with the hurricanes, earthquakes, and floods that can wipe out a facility. In fact, studies show that hardware failure is the number one reason for DR declarations. This e-guide describes common DR misconceptions and consequences, and provides backup and testing suggestions for optimal recovery.
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.
ASSESSMENT TOOL:
Take this capacity management maturity assessment in order to better understand how your company handles performance goals, business forecasting and business process management. Gain advice based on your answers to the assessment questions that will help move your company to higher levels of maturity.
WHITE PAPER:
Cloud computing is becoming more common across organizations, but what are effective ways to help maximize what this application has to offer? Check out this IDC survey and learn how utilizing capacity management while moving to the cloud can help optimize your IT infrastructure to better meet business needs.
EZINE:
Cloud storage services often fit in best when used as a storage tier for nearline, archive or backup data. Cloud gateway appliances integrate easily and provide an easy on-ramp to cloud storage. In any of those scenarios, the essential element is a cloud gateway appliance that integrates on-site storage operations with cloud storage services.
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.
CASE STUDY:
Check out this case study to find out how one solution provided an organization with the flexibility and capacity they need in order to manage their growing data workloads.
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?
