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.
EBOOK:
To celebrate Computer Weekly's 50th anniversary, the National Museum of Computing, which holds the print archives of the magazine, has scanned the first issue of Computer Weekly. We have made this available to download.
EGUIDE:
In these uncertain times, making solid predictions for the year ahead looks like a definition of a mug's game. While this has been the fuel for the fire for the boom in applications such as video conferencing as used to support remote working, the same really can be said for the internet of things (IoT).
EGUIDE:
In this expert guide, George Crump outlines the state of flash storage systems, and demonstrates how to use NVMe and flash DIMM to proactively keep performance ahead of users' expectations. Read on as Crump also predicts the fate of HDDs, and explains how to keep pace by improving internal and external connectivity.
WEBCAST:
This video explores a leading solution delivering industry standard Linux systems services faster, with higher quality, and more economically than others. Learn how it combines a leading hardware, Linux software, and domain expertise of different industries resulting in higher quality operations that keep pace with modern business.
EGUIDE:
When it comes to choosing between a hardware load balancer and a software load balancer, there are several key factors to consider. In this e-guide, get an in-depth look at hardware and software load balancing, the differences between each, and how to select the right one for your organization.
EGUIDE:
Access this e-guide to get a strategy in place to ease your transition to HCI and reduce your hardware needs, as well as time spent working on storage and hypervisors.
EGUIDE:
Machine learning examples are finally making their way to the home territory of computer science – the data center. Learn why data centers are an ideal environment for machine learning and explore examples of machine learning found in data centers.
