EZINE:
It's been 50 years since Computer Weekly's launch on 22 September 1966. To mark this achievement, we have compiled a special edition of the magazine to reflect on how much the British technology industry has contributed over that time.
EGUIDE:
We look at why it makes sense to go hyper-converged, how HCI differs from converged infrastructure, the pros and cons of hyper-converged vs traditional storage arrays, HCI software products available, and whether hyper-converged can help unleash the blistering performance potential of NVMe flash storage.
EGUIDE:
This guide offers a comprehensive survey of the all-flash array market. We look at all-flash products from the big six storage vendors and the startups and specialists. Plus, we give the lowdown on all-flash vs hybrid flash arrays and all-flash vs server-side PCIe SSD.
EGUIDE:
In this e-guide: The big three offer cloud file storage that can ease hybrid cloud operations, with consistency between cloud and on-premise as well as greater enterprise application compatibility.
EGUIDE:
The internet of things is being used to improve storage options. In this 13-page buyer's guide, Computer Weekly looks at how the IoT could increase volumes of data, the challenges it may bring, and the role edge processing, analytics and the cloud has to play in increasing profits
EBOOK:
The National Museum of Computing has again been looking into Computer Weekly's 50 years of magazine issues for another selection of articles highlighting significant news published in the month of July over the past five decades.
EGUIDE:
In this e-guide, we take a look at how and why enterprises are tapping into containers to bolster the business agility of their IT infrastructure and application estates, and some of the latest thinking about how best to utilise container technologies.
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.
WEBCAST:
In the following custom webcast, two experts dig into the storage challenges associated with supporting AI and machine learning workloads. Join here for the details and for a first-hand look at a solution that provides the performance, reliability, and scalability these workloads require.
WHITE PAPER:
Highlighted in this custom white paper is a storage solution that offers the simplicity of NAS coupled with the scalability, performance, and simplified management that machine learning, AI, and analytics workloads require.
