Intel Pushes Open Source Hypervisor With Cloud Giants
The chipmaker discussed several open source efforts at its annual Open Source Technology Summit....
The chipmaker discussed several open source efforts at its annual Open Source Technology Summit....
The new switches are the third generation of Arista’s R-Series family of universal spine switches...
Today's Day Two Cloud looks at what happens when automation plans meet automation reality in the public cloud. Guest Ryan Bartram discusses how his organization had to tweak runbooks and explore a variety of tools to get the job done.
The post Day Two Cloud 009: When Plans Meet Reality In Public Cloud Automation appeared first on Packet Pushers.
The first cities to get 5G service include Birmingham, Bristol, Cardiff, Glasgow, Manchester,...
We’re going back to our roots here at Network Collective and that means we’re going to be spending more time chatting and less time with agendas. In this episode we discuss Russ’s impression of ONUG 2019 in Dallas, the team’s take on solving problems in a meeting, the value of meetings in general, and the slow but steady rise of SDN adoption in the enterprise.
Outro Music:
Danger Storm Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/
The post Meeting Madness, ONUG, and Software Defining All The Things appeared first on Network Collective.
In the fast-paced world of algorithmic trading, speed is of the essence – not just for the execution of the trades themselves, but also for developing the trading models that are becoming obsolete in increasingly shorter timeframes. …
GPUs Set High Water Mark for Financial Trading Algorithm was written by Michael Feldman at .
Five years ago, Lenovo spent almost $4.5 billion to buy IBM’s X86 server business and Google’s Motorola mobile phone unit, moves that instantly made the company a top-tier player in the datacenter and more competitive in the lucrative global smartphone market. …
Lenovo Puts An Edge On Infrastructure was written by Jeffrey Burt at .


In the past three years, the amount of image data on the median mobile webpage has doubled. Growing images translate directly to users hitting data transfer caps, experiencing slower websites, and even leaving if a website doesn’t load in a reasonable amount of time. The crime is many of these images are so slow because they are larger than they need to be, sending data over the wire which has absolutely no (positive) impact on the user’s experience.
To provide a concrete example, let’s consider this photo of Cloudflare’s Lava Lamp Wall:

On the left you see the photo, scaled to 300 pixels wide. On the right you see the same image delivered in its original high resolution, scaled in a desktop web browser. They both look exactly the same, yet the image on the right takes more than twenty times more data to load. Even for the best and most conscientious developers resizing every image to handle every possible device geometry consumes valuable time, and it’s exceptionally easy to forget to do this resizing altogether.
Today we are launching a new product, Image Resizing, to fix this problem once and for all.
With Image Resizing, Cloudflare Continue reading
The company released a new cloud-based SaaS performance management service onto its Digital...
The framework includes TM Forum’s Open Digital Architecture, open APIs, data and artificial...
Today's Heaving Networking episode delves into Web application firewalls (WAFs) with guest Scott Hogg. We examine how WAFs differ from typical firewalls, the security problems they're trying to solve, how attackers try to bypass them, operational challenges, WAFs and cloud applications, and more.
The post Heavy Networking 449: Web Application Firewall Fundamentals appeared first on Packet Pushers.
Russ White recently wrote an interesting blog post claiming how we should not ignore any particular technology just because it was invented by a hyperscaler illustrating his point with a half-dozen technologies that were first used by NASA.
However, there are “a few” details he glossed over:
Read more ...Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., ASPLOS’19
Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. By cooperating with a cluster manager it can then take proactive steps to avoid a QoS violation occurring in practice.
We show that Seer correctly anticipates QoS violations 91% of the time, and avoids the QoS violation to begin with in 84% of cases. Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance.
Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. A DNN model is trained to recognise patterns in space and time that lead to QoS violations. This model makes predictions at runtime based on real-time streaming trace inputs. When a Continue reading
