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 infographic, we take a look at what the most popular primary and secondary storage initiatives are in 2019 as well as how much storage will be maintained on-premise across Europe. Survey results taken from the 2019 IT Priorities survey carried out by ComputerWeekly.com, ComputerWeekly.de and LeMagIT.fr.
EGUIDE:
The implementation of effective storage optimisation has becomean important factor in business. In this 12-page buyer's guide,Computer Weekly looks at cost implications, the hyper-convergedinfrastructure minefield and the alternatives to shared storage
EGUIDE:
"How can I simplify storage allocation for virtual desktops?" You asked the question, we have the answer. Read on to discover how to address storage allocation requirements of both the operating system and apps, and VDI user data, in this expert guide.
EBOOK:
This handbook will provide an overview of the hyper-converged market as it stands today to help you decide whether the technology might be beneficial to your environment. Read on to learn about the potential benefits and drawbacks so that you can make an informed decision.
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.
EBOOK:
Access this guide to learn what products classify as VM-aware storage, how they're implemented in virtual environments and what benefits they can bring to storage and virtualization administrators.
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.
