Topic: IoT, Linux and the Raspberry Pi
Presenter: Warren Jasper
When: Thursday, 10 May 2018 - 6:45pm to 9:00pm
Where: NCSU College of Textiles, 1020 Main Campus Dr., Room 2207
Parking: Underground parking deck immediately adjacent to the building (see map)
Map: Google Maps

Video YouTube

Summary
Getting started with any IoT project can be a little daunting. Whether you are a beginner or and experienced embedded systems developer, there are always little parts of any project that could and should go smoother. This talk will focus on setting up the Raspberry Pi as a headless mobile device, configuring the digital IO pins on the Pi, taking analog signals, and then transmitting the data through LoRa, a Longe Range low power wireless protocol to a server on the net or in the cloud.

Bio
Dr. Jasper has been interested in real-time data acquisition and control since his undergraduate days when he measured the variation the earth’s gravity due to the tides. Although he has worked in the aerospace industry designing spacecraft altitude and control systems, he currently designs data acquisition and control systems for textile processes. His research interests include measurement and control of dyeing, plasma textiles for nanoparticle filtration, and writing Linux device drivers which can be found at https://github.com/wjasper/Linux_Drivers. In 2014 he was the recipient of a Fulbright grant in engineering education to promote study abroad for undergraduate textile engineers.

Video YouTube

Summary The Elastic Stack is the rebranded ELK stack. It has Elasticsearch at its core for the data store and search engine. Beats are used as data shippers which includes Filebeat, Metricbeat, Packetbeat, and others. Logstash can be used at the edge for things like listening to syslog and for manipulating data prior to ingesting it in Elasticsearch. Kibana is the visualization layer which includes the ability to view logs, create time series graphs, heatmaps, geolocation maps, and many more visualization types. X-Pack includes some free and some commercial add ons to solve RBAC, alerting, machine learning, cluster monitoring, and more. All these pieces provide a powerful ecosystem for monitoring a production environment, quickly finding the root cause for performance issues, and for searching logs across your infrastructure.

Bio Jeff Spahr is the Systems Infrastructure Architect at Bandwidth. He's been using the Elastic Stack for about a year for centralized logging, DNS metrics, and system metrics for linux servers and Kubernetes clusters.

Video: YouTube

Summary: Data scientists in both industry and academia have been using GPUs for AI and machine learning to make groundbreaking improvements across a variety of applications including image classification, video analytics, speech recognition and natural language processing. In particular, Deep Learning – the use of sophisticated, multi-level "deep" neural networks to create systems that can perform feature detection from massive amounts of unlabeled training data – is an area that has been seeing significant investment and research. Although AI has been around for decades, two relatively recent trends have sparked widespread use of Deep Learning within AI: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPU computing. Early adopters of GPU accelerators for machine learning include many of the largest web and social media companies, along with top tier research institutions in data science and machine learning. With thousands of computational cores and 10-100x application throughput compared to CPUs alone, GPUs have become the processor of choice for processing big data for data scientists.

Bio: David Williams is a Solutions Architect for NVIDIA, working with Enterprise and Startup companies over the Southeastern section of the United States. Born and raised in Houston, Texas, David left the South for the freezing shores of Lake Michigan to attend Northwestern University for his Bachelor's and Master's degrees in Computer Engineering. Making a much needed return to warmer climates, David moved to Chapel Hill after graduation and joined NVIDIA. Solution Architects serve as customer engineering resources, investigating questions and evaluating proof of concepts for companies interested in NVIDIA technology. As NVIDIA has become the leading artificial intelligence company, the technical challenges faced in this new market cover topics of GPU hardware, system software, data engineering, datacenter architecture, deep learning frameworks, and neural network data science. David is excited to discuss the key drivers and introductory concepts of the world of artificial intelligence and deep learning.

Sponsor:

Summary: Alert the office, school, city, or your family to the tornado warning for their specific area. Automatically initiate a pre-recorded announcement or activate an alarm to encourage everyone to take shelter – but only if the alert affects the area. This information is available via the internet, but the internet might fail in the event of a serious storm. Redundancy via the weather band provides additional certainty that the message is received correctly. This open-source project takes us through python coding, GitHub, continuous integration, integration of messages from different sources with different specificity, and testing of a device that should carry out its primary function perhaps annually. The finished product will be suitable for offices, schools, and outdoor alerting.

Bio: From the country’s hot spot for tornadoes per-capita, Huntsville, Alabama, Jim brings together an understanding of the severity of tornadoes and concern for fellow Red Hatters’ safety as a Safety Warden into a nighttime coding gig to create the ultimate tornado warning device.

Summary: This talk with showcase how to use Docker to orchestrate multiple services like node.js and Golang and I will be demonstrating how to interrogate Docker containers in order to debug what your Docker Containers are doing. We will also utilize TDD with both Golang and Vue.js and demonstrate via live demonstration good software practices.

Bio: Jean-Marcel Belmont is a Software Engineer at FoodLogiq. He is an organizer of 2 different meetups. He is also a former 82nd Airborne Paratrooper and combat veteran. He enjoys teaching others about Software Craftsmanship and spending time with his beautiful family. He loves nature and spending time learning new things in technology.

Ring in the end of the year with TriLUG! Our annual Holiday Social is a great time of delicious food, cool demos, and socializing with other FOSS enthusiasts. This year, we're back at the Red Hat Annex in downtown Raleigh.

Demos of all kinds are welcome. It can be as simple as a cool piece of software you found on the Net, or as complicated as a 3-D printed electronic Halloween costume. Just let us know in the signup form (below).

This year's event will be a potluck, so bring something tasty along to share with your fellow TriLUG members!

Please fill out the quick sign-up form at the link below so we know if we need to fill in any culinary gaps (TriLUG will provide one or two dishes as well), and so we can make sure we have everything we need for the demos people are bringing.

RSVP here!

We have a lot of really talented members, who do a lot of really interesting things. Come on down and share some of those things with your fellow members! Let us see your hobby hacks, your nifty shell incantations, or the latest tricks you've managed to make your Raspberry Pi or Arduino do. This doesn't have to be long - a few minutes is more than sufficient.

Note that this could also be a nice way to introduce whatever demo you plan to bring to the December Holiday Social - whet the appetite for more, as it were.

The Sign-Up Form is up and ready for entries!

Talks:

• Presenter: Brian Gerard Topic: Creating a Self-Installing Package Summary:I'll show a method for creating a self-installing package out of a git repo using gmake and a little scripting glue. While it's more a neat trick than a best practice, it has come in handy at work as a stopgap while we get more battle-hardened solutions in place.
• Presenter: Michael Hrivnak Topic: The Lounge IRC client Summary:The Lounge is a web-based IRC client, and I love using it.
• Presenter: Bill Farrow Topic: Building Debian packages for ARM with Docker and QEMU Summary: Building Debian packages is fun, but building them on a slow embedded system is not fun. Cross compiling is messy and complicated. Using the superpowers of Docker and QEMU you can build those packages on your screaming 16 core x86_64 desktop in no time at all.
• Presenter: Barry Peddycord III Topic: Mastodon: The OSS Alternative to Twitter Summary: Learn about Mastodon: A modern, open source implementation of the GNU Social protocol for microblogging.
• Presenter: Dwain Sims Topic: Rapidly Changing Storage Formats Summary: I will take a really quick walk through the rapidly changing world of storage form factors, and make some predictions!

Video: YouTube

Summary: If you pay attention to tech news at all, you're probably hearing a lot about Linux containers. In this talk, we'll take a look at what's behind the hype and dive into what containers are really good for, what they are, and the best ways to start getting your feet wet where it makes sense to use containers. This will include a look at Atomic Host, an opinionated take on Fedora, CentOS, or Red Hat Enterprise Linux designed strictly to run Linux containers and help organizations focus on applications inside the container.

Bio: Joe Brockmeier is a long-time participant in open source projects and former technology journalist. Brockmeier has worked as the openSUSE Community Manager, is an Apache Software Foundation (ASF) member, and participates heavily in the Fedora Cloud Working Group. Brockmeier works for Red Hat as a senior evangelist for Linux & containers.

Sponsor:

October 12 - Meeting Announcements