EZINE:
In this week's Computer Weekly, we announce our annual list of the Most Influential Women in UK Technology, and talk to this year's winner, Stemettes CEO and diversity campaigner Anne-Marie Imafidon. Meet our five Rising Stars and the latest entrants to our women in tech Hall of Fame. Read the issue now.
EGUIDE:
PCIe SSD cards fit straight into PCIe slots in servers and array hardware and often brings much higher performance than traditional HDD-format flash drives..
WHITE PAPER:
If you are being strong-armed into replacing your current storage with the newest equipment, remember that the “one-option-only” perception is just an illusion. Access this white paper to learn 6 must-know facts before your next storage buy.
EZINE:
In this issue, we take a look at the struggles and triumphs faced by the channel this year so far. Also read up on possible solutions to the skills shortage, including the opening up of STEM to a more diverse range of students, and the necessity for improving skills on the job.
EGUIDE:
Companies have come to count on the high performance of their flash storage services. In this 12-page buyer's guide, Computer Weekly looks at the cost of a variety of options, what the big three cloud providers have to offer and how the issue of reliability is being addressed.
EGUIDE:
Containerisation is becoming a key part of IT strategy. In this 12-page buyer's guide, Computer Weekly looks at how it can help businesses in a post-pandemic world, assesses the main considerationsfor Kubernetes backup and discusses how to manage enterprise-class containerisation.
EGUIDE:
This expert guide looks at how object storage is tackling the issue of unstructured data volumes. Access it now for an in-depth look at object storage use cases and 11 vendors to see for yourself if it's a good fit for your organization.
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.
