EGUIDE:
Companies have come to count on the high performance of their flash storage services. In this 12-page buyer's guide, Computer Weekly looks at the cost of a variety of options, what the big three cloud providers have to offer and how the issue of reliability is being addressed.
EGUIDE:
This expert resource serves as your full guide to object storage implementation, with cloud workload, sync-and-share, API-accessible storage, and more use cases examined. Download now to gain full access, learning how object storage maintains the unstructured data deluge, and view an object vs. file vs. block storage bake off.
EZINE:
In the February 2015 issue of Storage magazine, we reveal the winners of our 2014 Products of the Year awards, explores how software-defined storage (SDS) helps allow you to create a DIY storage array and much more.
EGUIDE:
Use this guide as a comprehensive resource for evaluating flash caching benefits, trade-offs, 3 main implementation models, and determine where to cache in order to leverage faster media and improve I/O performance.
EZINE:
In this issue of Storage magazine, our experts examine today's top VM backup apps, and look at how legacy backup apps have evolved to meet. Other articles in this issue look at VDI storage tips, NAS purchasing trends, the benefits of software-based replication and more!
EBOOK:
Learn about how DaaS providers build service-level agreements. The agreements don't usually favor the customer, and IT shops aren't as protected against downtime as they might think.
WHITE PAPER:
This white paper outlines how software-defined storage for remote and branch offices can meet the dynamic needs of today's business. Read on to learn about the benefits of SDS including simplified storage management, optimized storage footprint and capacity, lowered total cost of ownership, and more.
WEBCAST:
Evaluator Group Senior Strategist Randy Kearns and VP of Marketing at WekaIO Barbara Murphy dig into this question in this custom webcast; they also examine a high-performance storage system that provides the parallel data access, architecture for multiple data types, and flexible scalability that ML and DL workloads require.
