Worth Reading: BGP in 2016
The post Worth Reading: BGP in 2016 appeared first on 'net work.
The post Worth Reading: BGP in 2016 appeared first on 'net work.
It's about making security policy more uniform.
This contributed piece has been edited and approved by Network World editors
C-level executives are increasingly calling on IT to investigate cloud options. In fact, according to Gartner, 90% of organizations are looking into crafting a cloud strategy. There are, in fact, significant economic advantages to be found in the cloud. But despite the potential benefits, you need to look carefully before you leap.
Cloud providers have many things working in their favor. For starters, their ability to procure and operate at scale gives them substantial discounts that can be passed along to customers. Cloud customers also benefit by being able to purchase compute for specific applications on a pay-as-you-go basis, without the need for a long-term commitment. The real savings come from elasticity and not having to lay out substantial capital if you only want to ramp up compute for a short period of time.
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Last week, the Routing Area Working Group (IETF) held an interim meeting on challenges and (potential) solutions to large scale data center fabric design. I’ve filed this here because I spoke for all of about 3 minutes out of the entire meeting—but I really wanted to highlight this meeting, as it will be of interest to just about every network engineer “out there” who deals with data center design at all.
There are three key URLs for the interim
The agenda
The session slides and links to drafts presented
A Webex recording of the entire proceedings
My reaction, in general, is that we are starting to really understand the challenges in a networking way, rather than just as a coding problem, or a “wow, that’s really big.” I’m not certain we are heading down the right path in all areas; I am becoming more convinced than ever that the true path to scale is to layer the control plane in ways we are not doing today. You can see this in the LinkedIn presentation, which Shawn and I shared. I tend to think the move towards sucking every bit of state possible out of the control plane is a Continue reading
Although vendor-written, this contributed piece does not advocate a position that is particular to the author’s employer and has been edited and approved by Network World editors.
Cloud adoption is a strategic initiative for nearly every company today, but there is still a fair amout of fear, uncertainty and doubt around cloud security, most of it unfounded. In my experience, coding errors and application vulnerabilities are the root of most security problems, regardless of where the data resides. When it comes to cloud, you need to look past the distractions and focus primarily on securing applications.
The main difference between on-premise and cloud security is there is no longer a well-defined security perimeter that can be protected by hardware appliances. Security teams need to move away from hardware-defined approaches to programmatic, software-defined solutions. And it’s worth noting, cloud is not the only driver in this dissipation, the rapid onset of mobile-first is another key contributor.
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Last week VMware hosted its Q4 2016 earnings call and shared financial results. VMware CEO Pat Gelsinger and the executive team have frequently highlighted VMware NSX growth and success on these calls. For Q4, NSX license bookings grew over 50 percent year-over-year. Annualizing our Q4 total bookings for NSX, it is now at a $1B run rate. With one month into 2017, we’d like to share more on NSX customer success in 2016.
Exiting 2016, we shared our latest customer count at more than 2,400, which is almost double the customer count from last year. In Q4 we also had the largest NSX-only deal, more than $10M. For every customer I meet with or hear about from my team, I am continued to be impressed how they choose to go about using NSX. We love to share these success stories, whether we’re talking about all the customers we had speaking at VMworld last year, or the many videos and case studies the team publishes regularly. These stories go into details on the significant NSX wins across multiple verticals and every major geography.
Success for our team is when customers expand their use of Continue reading
AirGig could be a big part of AT&T's 5G vision.
Hardware and device makers are in a mad dash to create or acquire the perfect chip for performing deep learning training and inference. While we have yet to see anything that can handle both parts of the workload on a single chip with spectacular results (the Pascal general GPUs are the closest thing yet, with threats coming from Intel/Nervana in the future), there is promise for FPGAs to find inroads.
So far, most of the work we have focused on for FPGAs and deep learning has centered more on the acceleration of inference versus boosting training times and accuracy …
OpenCL Opens Doors to Deep Learning Training on FPGA was written by Nicole Hemsoth at The Next Platform.
Coriant is the second named vendor for PacketFabric's SDN network.