Tagged With red hat


The cycle in which ideas turn into software is getting shorter and shorter. By and large, this is a good thing as new functions are delivered to users faster than ever before. But one of the consequences is software bugs are introduced and sometimes missed. I suspect part of the reason is testing cycles are being squeezed. This is part of the root cause, I think, as to why a two year old bug was introduced into Linux.


In recent years, software containers that allow applications and processes to run in isolation have gained traction in the IT community. The open-source container platform Docker is the top player in this space and big IT vendors have been tripping over themselves to incorporate its software containerisation technology into their own offerings. Open source software provider Red Hat has been working with Docker since 2013 and has provided some key learnings on what not to do when using the container tool.

Predicting the future is near impossible -- but that doesn‘t stop us all from having a red hot go. Human beings have been predicting the future since the beginning of history and the results range from the hilarious to the downright uncanny.

One thing all future predictions have in common: they‘re rooted in our current understanding of how the world works. It‘s difficult to escape that mindset. We have no idea how technology will evolve, so our ideas are connected to the technology of today.


Amazon Web Services had added Red Hat Enterprise Linux (RHEL) 6.4 to its list of supported Amazon Machine Images (AMI). The release, which is available in all Amazon regions, comes two months after Red Hat released 6.4 to its existing customers.


AWS is now offering the ability to purchase Red Hat Enterprise Linux (RHEL) applications directly within the platform. Three apps are being offered initially: Alfresco Enterprise, BMC Application Diagnostics and Tibco tibbr.


Historically, the speed and ability of computers has dictated what they're used for. But with even the cheapest phone dwarfing systems that used to run entire businesses decades ago, trying to solve a problem by thinking about what computers can do right now won't necessarily get you the best results.