EGUIDE:
In this guide you will find all you need to know about LUNs, LUN configuration and management, including their use in virtualised environments.
ANALYST REPORT:
The dread of any IT manager is in making a significant purchase of hardware or software to then find that they are 'locked in' to one supplier. But analyst Clive Longbottom asks, is this still the case?
EGUIDE:
In this e-guide we give you a complete run-through of the main choices in data storage for containers, look at the essentials of virtual servers storage, plus all you need to know about storage performance in virtual server and desktop environments.
EGUIDE:
In this e-guide, George Crump demonstrates how to use emerging flash innovations, like NVMe and DIMM, to stay apace with app requirements and users' expectations. Read on to also get a glimpse at new flash use cases, and learn why calculating flash pricing is key in making the AFA vs. disk decision.
EGUIDE:
Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.
WHITE PAPER:
In this white paper, you'll learn how one potential flash storage solution utilizes private cloud infrastructures to allow work to get done faster, make your enterprise more efficient, lower TCO and raise ROI.
EBOOK:
This expert eBook chapter explores the virtual machine (VM) storage approach. Read on to learn about the technologies and processes that yield the best results for virtual server storage.
EGUIDE:
This expert e-guide takes a look at how hyper-converged infrastructure can simplify storage in virtualized environments. Read on to learn about how hyper-convergence offers added flexibility and agility, and how it can make your virtual storage management easier.
EGUIDE:
In this e-guide, learn the difference between hyperconverged and converged infrastructure, four common data problems that can be solved with hyperconvergence as well as how to avoid vendor lock-in.
