use case

SONiC: Open Source NOS in Data Center

SONiC: Open Source NOS in Data Center

March 4, 2020

SONiC as open source NOS empowers us to use uniform Operating System, Network Monitoring & Management tools and Life-cycle Management tools, across heterogeneous h …
Building an AGL Telematics Profile Demonstration Platform

Building an AGL Telematics Profile Demonstration Platform

March 3, 2020

The recently added AGL telematics profile serves as a base for building headless telematics device images. This talk will discuss what the profile includes and outline how it can be used. A practical …
Fashion retail at scale: To block or not to block

Fashion retail at scale: To block or not to block

March 3, 2020

Jesus Manuel Pieiro gives you a glimpse into the challenges Inditex overcame in the transition of the ecommerce platform from monolithic to a microservices environment, oriented toward using event-driven nonblocking I/O technologies like Node.js. Jesus highlights the architectural decisions, technology, and tools that allowed the company to leverage the commercial growth in the years to come.
Automated Run-time Regression Testing with Fuego

Automated Run-time Regression Testing with Fuego

March 2, 2020

Real-time applications need to satisfy timing constraints, and we have to avoid kernel changes which might cause long delays. But we need tons of time for testing to detect those issues. So, it is the …
Navigating in stormy waters: An approach to traffic management with Istio

Navigating in stormy waters: An approach to traffic management with Istio

March 1, 2020

History repeats itself. Some years ago, software engineers started to implement frameworks to ease the development of software applications. Laurentiu Spilca walks you through how microservices are currently delivered and what Istio can do for you in regard to traffic management.
Hyperledger Fabric 101: Permissioned Blockchain Platforms

Hyperledger Fabric 101: Permissioned Blockchain Platforms

February 29, 2020

When one thinks of blockchain, the technologies that come to mind are Bitcoin, and Ethereum. Much of the knowledge has been focused on public networks, and less is known about the permissioned blockch …
BoF: Let's Play Small-mini-card-sized Computer Boards!

BoF: Let's Play Small-mini-card-sized Computer Boards!

February 28, 2020

There are tons of small, mini, card-sized computer boards have been released since Raspberry Pi was born to the production and lately you can see them everywhere to apply them to not only electric DIY …
Challenges of using Containers to Run Graphical Embedded Systems

Challenges of using Containers to Run Graphical Embedded Systems

February 27, 2020

Despite their quick success and adoption, containers are already a well established technology and their use is steadily rising also in the embedded community. However the specific requirements of an …
Embracing Open: the AMS-IX Journey to Open Networking

Embracing Open: the AMS-IX Journey to Open Networking

February 26, 2020

When AMS-IX faced the need for a data center network refresh and upgrade, we evaluated traditional vendors and newer open, bare-metal switching options and found t …
Should I run my own RPKI Certificate Authority?

Should I run my own RPKI Certificate Authority?

February 26, 2020

Since 2011, the five RIRs have been offering Resource Public Key Infrastructure (RPKI) systems, aimed at making Internet routing more secure and reduce the risk of …
Understanding Analytical Engines For Networking Analysis Tools

Understanding Analytical Engines For Networking Analysis Tools

February 26, 2020

Understanding analytical engines is essential to any analytical product regardless of market. Network analytic tools are no exception. Analytical engines greatly i …
Automated run-time Regression Testing with Fuego

Automated run-time Regression Testing with Fuego

February 25, 2020

Real-time applications need to satisfy timing constraints, and we have to avoid kernel changes which might cause long delays. But we need tons of time for testing to detect those issues. So, it is the …
Advanced model deployments with TensorFlow Serving

Advanced model deployments with TensorFlow Serving

February 24, 2020

Hannes Hapke leads a deep dive into deploying TensorFlow models within minutes with TensorFlow Serving and optimizing your serving infrastructure for optimal throughput.
Building blocks in EVPN for multi-service fabrics

Building blocks in EVPN for multi-service fabrics

February 24, 2020

Despite its growing use as a Metro Ethernet protocol, EVPN was originally conceived to enable highly flexible and scalable LANs. In this tutorial RFC7432 co-author …
Deep Learning Toolkit for Splunk

Deep Learning Toolkit for Splunk

February 24, 2020

The Deep Learning Toolkit for Splunk allows you to integrate advanced custom machine learning systems with the Splunk platform using TensorFlow 2.0, PyTorch and NLP libraries. Jupyter Lab Notebooks are providing data scientists and machine learning developers with an integrated experience from rapid prototyping to operationalising models in production. The app is freely available on splunkbase.
Lightning Talk: OpenConfig in reality

Lightning Talk: OpenConfig in reality

February 24, 2020

Monday had a talk on streaming telemetry where OpenConfig models and protocols featured and several of the microphone questions/comments related to a demand for st …
P4 Tutorial

P4 Tutorial

February 24, 2020

This tutorial includes hands-on exercises; instructions for downloading the software is at https://p4.org/events/2019-02-19-nanog/ Download all software prior to t …
Introduction to Hilbert AutoML with TensorFlow Extended (TFX) at Yahoo! JAPAN

Introduction to Hilbert AutoML with TensorFlow Extended (TFX) at Yahoo! JAPAN

February 23, 2020

Hilbert is an AI framework that works with TensorFlow Extended (TFX) at Yahoo! JAPAN, which provides AutoML to create production-level deep learning models automatically. Hilbert is currently used by over 20 services of Yahoo! JAPAN. Shin-Ichiro Okamoto details how to achieve production-level AutoML and explores service use cases at Yahoo! JAPAN.
Monsters, Ghosts, and Bugs: How to Choose a Kernel

Monsters, Ghosts, and Bugs: How to Choose a Kernel

February 23, 2020

Most users and developers dont think too closely about what kernel is running, yet the kernel is a vital piece of software. There are many choices of what kernel to run, from a well-tested enterprise …
Unleashing SR Traffic Engineering capabilities with SR Flexible Algorithms

Unleashing SR Traffic Engineering capabilities with SR Flexible Algorithms

February 23, 2020

Have you ever wished you could tailor IGP computation to fit your own traffic engineering needs? Such as by computing: Paths considering a subset of the routers in …
Migrating to Yocto: A Guide and Lessons Learned

Migrating to Yocto: A Guide and Lessons Learned

February 22, 2020

Tauqir and Ram took it upon themselves to migrate the build system for the whole engineering organization about 2 years ago at Cisco Meraki. The need arose from a new platform that was very well-suppo …
Workshop: Hands On FOSSology, SW360 and SPDX

Workshop: Hands On FOSSology, SW360 and SPDX

February 21, 2020

FOSSology and SW360 are both software projects in the area of OSS license compliance. FOSSology can run license, copyright and export control scans and has a Web user interface providing a compliance …
Deep learning with Horovod and Spark using GPUs and Docker containers

Deep learning with Horovod and Spark using GPUs and Docker containers

February 20, 2020

Today, organizations understand the need to keep pace with new technologies when it comes to performing data science with machine learning and deep learning, but these new technologies come with their own challenges. Thomas Phelan demonstrates the deployment of TensorFlow, Horovod, and Spark using the NVIDIA CUDA stack on Docker containers in a secure multitenant environment.
Executive Briefing: Unpacking AutoML

Executive Briefing: Unpacking AutoML

February 19, 2020

Paco Nathan outlines the history and landscape for vendors, open source projects, and research efforts related to AutoML. Starting from the perspective of an AI expert practitioner who speaks business fluently, Paco unpacks the ground truth of AutoMLtranslating from the hype into business concerns and practices in a vendor-neutral way.
Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond

Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond

February 18, 2020

From people you may know (PYMK) to economic graph research, machine learning is the oxygen that powers how LinkedIn serves its 630M+ members. Zhe Zhang provides you with an architectural overview of LinkedIns typical machine learning pipelines complemented with key types of ML use cases.
Start your engines: Making deep reinforcement learning accessible to all developers (sponsored by AWS)

Start your engines: Making deep reinforcement learning accessible to all developers (sponsored by AWS)

February 18, 2020

Reinforcement learning is an advanced machine learning technique that makes short-term decisions while optimizing for a longer-term goal through trial and error. Ian Massingham dives into state-of-the-art techniques in deep reinforcement learning for a variety of use cases.
Apache Hadoop 3.x state of the union and upgrade guidance

Apache Hadoop 3.x state of the union and upgrade guidance

February 16, 2020

Wangda Tan and Wei-Chiu Chuang outline the current status of Apache Hadoop community and dive into present and future of Hadoop 3.x. You'll get a peak at new features like erasure coding, GPU support, NameNode federation, Docker, long-running services support, powerful container placement constraints, data node disk balancing, etc. And they walk you through upgrade guidance from 2.x to 3.x.
Building an AI platform: Key principles and lessons learned

Building an AI platform: Key principles and lessons learned

February 16, 2020

Moty Fania details Intels IT experience of implementing a sales AI platform. This platform is based on streaming, microservices architecture with a message bus backbone. It was designed for real-time data extraction and reasoning and handles the processing of millions of website pages and is capable of sifting through millions of tweets per day.