We collect the top expert content in the infrastructure community and fire it along the priority queue.
During Cisco Live Europe 2017 (where I got thanks to the Tech Field Day crew kindly inviting me) I had a nice chat with Peter Jones, principal engineer @ Cisco Systems. We started with a totally tangential discussion on why startups fail, and quickly got back to flexible hardware and why one would want to have it in a switch.
Read more ... Canonical is putting its focus on cloud and IoT.
This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach.
The flexibility of the cloud has driven IT to look closely at opportunities to replicate that agility in their own infrastructure and operations. Automation initiatives have optimized many layers of the computing stack, but application delivery services remain a last-mile problem as network teams find themselves hamstrung by inflexible legacy architectures.
While virtual appliances for load balancing, long thought of as the answer for software-driven infrastructure, have existed since the advent of virtualization, they inherit most of the architectural challenges of legacy solutions, including limited scalability, lack of central management and orchestration, and performance limitations. Instead, what is needed is an application delivery architecture based on software-defined principles that logically separates the control plane from the data plane delivering the application services.
To read this article in full or to leave a comment, please click here
Comcast already works with AWS and Microsoft Azure.
Over the last several decades, the evolution of artificial intelligence has followed an uncertain path – reaching incredible highs and new levels of innovation, often followed by years of stagnation and disillusionment as the technology fails to deliver on its promises.
Today we are once again experiencing growing interest in the future possibilities for AI. From voice powered personal assistants like Google Home and Alexa, to Netflix’s predictive recommendations, Nest learning thermostats and chatbots used by banks and retailers, there are countless examples of AI seeping into everyday life and the potential of future applications seem limitless . . . again.
To read this article in full or to leave a comment, please click here