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.
ESSENTIAL GUIDE:
Computer Weekly's CW500 Club heard from IT leaders plotting a roadmap to software-defined everything – this presentation was given by Rob White, executive director of the global database group at Morgan Stanley.
EZINE:
In this week's Computer Weekly, we look at Apple's plan to woo open source developers to its Swift programming language. DevOps practitioners are warning of growing stress on IT operations staff through the growth of continuous development practices. And Specsavers' CIO tells us why the store is a vital part of digital retail. Read the issue now.
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.
WHITE PAPER:
Access this white paper to learn about a storage system that uses real-time compression and SSD technology to boost storage performance. Read on to learn more about how the benefits of this storage system provide a strong ROI, and how your organization could cut costs.
ESG:
User expectations for their digital work experience can vary by demographic, location, role and much more. But understanding these expectations is critical to the whole organization's long-term viability. Download this ESG report to explore the results of a comprehensive survey so you can design the ideal digital work experience.
EGUIDE:
In this e-guide, Jawad Akhtar – long-time SAP expert in everything from SCM to products like HANA and Hybris – explores how to make your SAP HANA implementation successful. Uncover 5 tips to light your way towards a smooth, seamless SAP HANA adoption.
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.
