Off the Cuff – Interop Speakers Panel

At Interop ITX 2018, Network Collective sat down with a few of our favorite speakers from the Network Transformation Summit to chat about the topics they were presenting on. From the emergence and importance of disaggregations and whitebox switching (Peyton Maynard-Koran), multi-gig connectivity for getting more out of your cabling investments (Peter Jones), to business driven design (Denise Donohue), this episode has a little bit of everything.

Peyton Maynard-Koran
Guest
Peter Jones
Guest
Denise Donohue
Guest
Jordan Martin
Host
Eyvonne Sharp
Host
Russ White
Host

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 Off the Cuff – Interop Speakers Panel appeared first on Network Collective.

Serverless Performance: Cloudflare Workers, Lambda and Lambda@Edge

Serverless Performance: Cloudflare Workers, Lambda and Lambda@Edge

A few months ago we released a new way for people to run serverless Javascript called Cloudflare Workers. We believe Workers is the fastest way to execute serverless functions.

If it is truly the fastest, and it is comparable in price, it should be how every team deploys all of their serverless infrastructure. So I set out to see just how fast Worker execution is and prove it.

tl;dr Workers is much faster than Lambda and Lambda@Edge:

Serverless Performance: Cloudflare Workers, Lambda and Lambda@Edge

This is a chart showing what percentage of requests to each service were faster than a given number of ms. It is based on thousands of tests from all around the world, evenly sampled over the past 12 hours. At the 95th percentile, Workers is 441% faster than a Lambda function, and 192% faster than Lambda@Edge.

The functions being tested simply return the current time. All three scripts are available on Github. The testing is being done by a service called Catchpoint which has hundreds of testing locations around the world.

The Gold Coast

This is every test ran in the last hour, with results over 1500ms filtered out:

Serverless Performance: Cloudflare Workers, Lambda and Lambda@Edge

You can immediately see that Worker results are tightly clustered around the x-axis, Continue reading

Ansible 2.6: Your Time Has Come!

Ansible-2.6

Guess what!? Another release has come upon us! Your time has come to upgrade to Ansible 2.6-”Heartbreaker.” Utilize some great updates to automate to your heart’s desire, and avoid being heartbroken. See what I did there? 

Let’s dive right into some of the changes.

Deprecation

One little bit of house cleaning before getting into the rest of the fun. The deprecated task option always_run has been removed, please use check_mode: no instead.

For any more information on behavioural changes from Ansible 2.5 to Ansible 2.6, please check out the Porting Guide.

Memory Utilization Improvements

In the development cycle of 2.6, we started to tackle a memory utilization problem that some of our users experienced in Dynamic Includes. In some cases, we have seen “roughly a drop of 50% memory consumption,” and in one scenario we had seen execution times of 21 seconds down to 8 seconds after the change was applied. Cool little bit, a bunch of these fixes were also back-ported to Ansible 2.5 as well as Ansible 2.4! In a future blog post, we plan to go into more detail of what was done to improve upon Dynamic Includes. Also, Continue reading

BrandPost: Coherent Optics: Taking Fiber Optics to the Next Level

What is coherent optics?At its most basic, coherent optical transmission is a technique that uses modulation of the amplitude and phase of the light, as well as transmission across two polarizations, to enable the transport of considerably more information through a fiber optic cable. Using digital signal processing at both the transmitter and receiver, coherent optics also offers higher bit-rates, greater degrees of flexibility, simpler photonic line systems, and better optical performance. It’s a web-scale world. On-demand content, bandwidth-hungry mobile apps, high-definition video streaming, and new cloud-based IT applications are driving massive scale and unpredictable traffic patterns. Network capacities are increasing by 25% to 50% every year, and systems running at 10 Gb/s just cannot keep up with this kind of rapid scalability.To read this article in full, please click here

In Defense of Humanity—How Complex Systems Failed in Westworld **spoilers**

 

The Westworld season finale made an interesting claim: humans are so simple and predictable they can be encoded by a 10,247-line algorithm. Small enough to fit in the pages of a thin virtual book.

Perhaps my brain was already driven into a meta-fugal state by a torturous, Escher-like, time shifting plot line, but I did observe myself thinking—that could be true. Or is that a thought Ford programmed into my control unit?

To the armies of algorithms perpetually watching over us, the world is a Skinner box. Make the best box, make the most money. And Facebook, Netflix, Amazon, Google, etc. make a lot of money specifically on our predictability.

Even our offline behaviour is predictable. Look at patterns of human mobility. We stay in a groove. We follow regular routines. Our actions are not as spontaneous and unpredictable as we'd surmise.

Predictive policing is a thing. Our self-control is limited. We aren't good with choice. We're predictably irrational. We seldom learn from mistakes. We seldom change.

Not looking good for team human.

It's not hard to see how those annoyingly smug androids—with their perfect bodies and lives lived in a terrarium—could come to Continue reading

DockerCon SF 2018 Cool Hacks Spotlight: Kubeflow

The closing keynote at DockerCon is traditionally the Cool Hacks keynote. This year, we featured three great hacks showing off innovative uses of Docker. In this post, I’d like to highlight one in particular, the Kubeflow demo with David Aronchick, and Michelle Casbon.

Machine Learning (ML) is becoming increasing popular, and important to enterprises. Kubeflow is an ML toolkit for Kubernetes, developed by Google. It’s a dedicated, portable and scalable approach to machine learning, using tools you’re already using to deploy other applications. It’s great because data scientists can use it to test out model creation on their laptops. And data engineers can take the models and use the power of Docker Enterprisein the cloud to further train and use the models in production.

In their demo, David and Michelle showed building an app using Kubeflow first with Docker Desktop and then on Docker Enterprise in the cloud. And they even took advantage of Google Cloud Tensorflow Processing Units native to the platform.

Check out their presentation and demo, and also check out Kubeflow to learn more.

 

Cool Hacks Spotlight: @kubeflow, a ML toolkit for #Kubernetes
Click To Tweet

Stay connected with Docker by taking advantage of the Continue reading

IDG Contributor Network: 6 key themes shaping the future of network performance management

We live in an exciting era for IT. Countless new technologies are changing how networks are built, how access is provided, how data is transmitted and stored, and much more. Cloud, IoT, edge computing and machine learning all offer unique opportunities for organizations to digitally transform the way they conduct business. Different as these technologies are, they are unified by their dependence on a properly functioning network, on what might be called “network continuity.” The key component for achieving network continuity is visibility.It’s no secret that new and emerging technologies have always driven networking best practices. With such a wide range of business objectives and activities relying on IT, network performance really is a life or death issue for most companies. So, it’s critical that we maintain a firm grasp on the latest industry trends in order to make informed, strategic network management decisions.To read this article in full, please click here

IDG Contributor Network: 6 key themes shaping the future of network performance management

We live in an exciting era for IT. Countless new technologies are changing how networks are built, how access is provided, how data is transmitted and stored, and much more. Cloud, IoT, edge computing and machine learning all offer unique opportunities for organizations to digitally transform the way they conduct business. Different as these technologies are, they are unified by their dependence on a properly functioning network, on what might be called “network continuity.” The key component for achieving network continuity is visibility.It’s no secret that new and emerging technologies have always driven networking best practices. With such a wide range of business objectives and activities relying on IT, network performance really is a life or death issue for most companies. So, it’s critical that we maintain a firm grasp on the latest industry trends in order to make informed, strategic network management decisions.To read this article in full, please click here

Future Thinking: Roxanne Varza on the Internet Economy

In 2017, the Internet Society unveiled the 2017 Global Internet Report: Paths to Our Digital Future. The interactive report identifies the drivers affecting tomorrow’s Internet and their impact on Media & Society, Digital Divides, and Personal Rights & Freedoms. In April 2018, we interviewed two stakeholders –Biddemu Bazil Mwotta, who introduced an agribusiness app, and Roxanne Varza, the director of  a startup incubator  – to hear their different perspectives on the forces shaping the Internet.

Roxanne Varza is the director of Station F, a large and popular startup incubator in Paris which recently celebrated its first full year of operation and is already reported to be the largest startup campus in the world. Situated in a former railway shed, Station F provides a vibrant hub for more than 3,000 entrepreneurs and businesses, including upcoming as well as established organizations like Facebook, L’Oréal, and Microsoft. Born in California to Iranian parents, Roxanne moved to Paris in 2009 where she led Microsoft’s startup activities in France before joining Station F, which was created by the French billionaire Xavier Niel. (You can read Biddemu Bazil Mwotta’s interview here).

The Internet Society: With more than 1,000 startups in its halls, Station F Continue reading

Network Break 191: Juniper Brings EVPN To Campus; Extreme Upgrades The Edge

Take a Network Break! Juniper Networks announces a new campus switch that supports EVPN and VXLAN for a campus fabric, Extreme Networks announces new products for the network edge, and the IEEE gives its blessing to a fog computing reference architecture.

Dell and VMware posted big HCI gains in revenue and market share, new laptops will be delayed as Intel works out CPU issues, and Silver Peak pulls in $90 million in new investment.

AT&T confirms its acquisition of digital ad exchange AppNexus, and the uptick in rocket launches is affecting commercial airline traffic.

Get links to all these stories after our sponsor messages.

Sponsor: Couchdrop

Couchdrop provides Secure Copy Protocol,or SCP and Rsync to Dropbox, Box and other cloud storage providers. Find out more at Couchdrop.io.

Sponsor: Packet Pushers Ignition

The Packet Pushers have launched a brand new membership site called Ignition. Ignition offers free and premium memberships and hosts exclusive content for subscribers, including videos, reports, blogs, and more. Check it out at ignition.packetpushers.net.

Show Links:

Juniper Networks Delivers EVPN-VXLAN Fabric to Connect Enterprise Data Center and Campus Networks – Juniper Networks

Juniper To The Enterprise: We re Serious About Campus Networking – Packet Pushers

Continue reading

IEEE sets fog computing standard for compute, storage, control and networking technology

Looking to seriously amplify the use of fog computing, the IEEE has defined a standard that will lay the official groundwork to ensure that devices, sensors, monitors, and services are interoperable and will work together to process the seemingly boundless data streams that will come from IoT, 5G and artificial intelligence (AI) systems.The standard, known as IEEE 1934, was largely developed over the past two years by the OpenFog Consortium, which includes ARM, Cisco, Dell, Intel, Microsoft, and Princeton University. To read this article in full, please click here

1 … 1,547 1,548 1,549 1,550 1,551 … 3,841