EZINE:
In this week's Computer Weekly, the Post Office IT scandal inquiry continues to reveal shocking details – we review the latest evidence. We examine progress of the roll-out of fast broadband across the UK. And as the Online Safety Bill returns to Parliament, we look at the arguments about how to keep the internet safe. Read the issue now.
EGUIDE:
The buzz and hype surrounding container technologies has reached fever pitch in recent years, prompting CIOs and IT decision makers to mull over what role, if any, they should and could play in their digital transformation plans.
EGUIDE:
Adopting a microservices approach to application development is increasingly considered an essential part of any bid to modernise the legacy IT setup an organisation relies on.
EGUIDE:
The National Museum of Computing has trawled the Computer Weekly archives for another selection of articles highlighting significant articles published in the month of June over the past few decades.
WHITE PAPER:
Read this white paper for an examination of a new software development language and technology called SequenceL, as well as a description of how it works, why there is a need for it and how well it performs in parallel environments.
TECHNICAL ARTICLE:
It's amazing how many books on parallel computing use the term parellelism without clearly defining it. In this technical article, Charles Leiserson, Professor of Computer Science and Engineering at MIT, provides a brief introduction to this theory.
WHITE PAPER:
This white paper illustrates how proven methodologies and best-of-breed tools, such as Rational DOORS, Rational Rhapsody, Rational Team Concert, and Rational Quality Manager, can help you design high-quality products that meet customer requirements.
WHITE PAPER:
This white paper illustrates how proven methodologies and best-of-breed tools, such as Rational DOORS, Rational Rhapsody, Rational Team Concert, and Rational Quality Manager, can help you design high-quality products that meet customer requirements.
EGUIDE:
The Computer Weekly Developer Network is in the engine room, covered in grease and looking for Artificial Intelligence (AI) tools for software application developers to use. With so much AI power in development and so many new neural network brains to build for our applications, how should programmers 'kit out' their AI toolbox?