EZINE:
In this handbook, focused on storage in the Asia-Pacific region, Computer Weekly looks at how container applications can make companies more agile, the cost benefits of data storage and the most common data storage myths that need to be debunked.
EGUIDE:
In the guide we look at the fundamentals of NAS and the use cases it best suits, the range of file access storage products available including in the cloud and in hybrid operation between cloud and datacentre. We also examine the question of NAS backup, looking at the challenges that have accompanied it and the solutions available.
EGUIDE:
In this guide we look at the architectural issues blocking agreement on NVMe, the fundamentals that underlie NVMe and its blistering performance, the key NVMe product deployments available, and ask what will become of the storage features associated with the storage controller.
EZINE:
This month's MicroScope ezine looks at the issues around device as a service (DaaS), the outlook from HP and a report from the UK CompTIA conference.
EGUIDE:
Companies are finding that computational storage can solve the data bottleneck. In this 14-page buyer's guide, Computer Weekly takes a closer look at its benefits, how it can be used and the advantages of faster computing.
EZINE:
In this week's Computer Weekly, we examine the implications of the controversial acquisition of UK chip leader Arm by US rival Nvidia. Black Lives Matter has raised awareness of social inequalities, but is the tech sector becoming more diverse? And we ask if business software can learn from the addictive nature of social apps. Read the issue now.
EGUIDE:
We walk you through the key storage metrics you need to know about, look at how storage array makers present them in their product literature, and how to decode IOPS, latency and read/write performance figures.
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.
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.
