The lineup of ARM server chip makers has been a somewhat fluid one over the years.
There have been some that have come and gone (pioneer Calxeda was among the first to the party but folded in 2013 after running out of money), some that apparently have looked at the battlefield and chose not to fight (Samsung and Broadcom, after its $37 billion merger with Avago), and others that have made the move into the space only to pull back a bit (AMD a year ago released its ARM-based Opteron A1100 systems-on-a-chip, or SOCs but has since shifted most of …
Applied Micro Renews ARM Assault On Intel Servers was written by Jeffrey Burt at The Next Platform.
The post Worth Reading: Bouncing back to private clouds appeared first on 'net work.
Google’s Cloud Platform is the relative newcomer on the public cloud block, and has a way to go before before it is in the same competitive sphere as Amazon Web Services and Microsoft Azure, both of which deliver a broader and deeper range of offerings and larger infrastructures.
Over the past year, Google has promised to rapidly grow the platform’s capabilities and datacenters and has hired a number of executives in hopes of enticing enterprises to bring more of their corporate workloads and data to the cloud.
One area Google is hoping to leverage is the decade-plus of work and …
Google Expands Enterprise Cloud With Machine Learning was written by Jeffrey Burt at The Next Platform.
Systems are inherently reliable. Until they aren’t. On a long enough timeline, even the most reliable system will eventually fail. How you manage that failure says a lot about the way your build your system or application. So, why is it then that we’re so focused on failing?
No system is infallible. Networks go down. Cloud services get knocked offline. Even Facebook, which represents “the Internet” for a large number of people, has days when it’s unreachable. When we examine these outages, we often find issues at the core of the system that cause services to be unreachable. In the most recent case of Amazon’s cloud system, it was a typo in a script that executed faster than it could be stopped.
It could also be a failure of the system to anticipate increased loads when minor failures happen. If systems aren’t built to take on additional load when the worst happens, you’re going to see bigger outages. That is a particular thorn in the side of large cloud providers like Amazon and Google. It’s also something that network architects need to be aware of when building redundant pathways to handle problems.
Take, for example, Continue reading