Welcome to the TriLUG home page. We are a LUG dedicated to the Triangle area including Durham, Raleigh, Chapel Hill, and Research Triangle Park. This site, along with our wiki, will enable you to keep abreast of TriLUG information (meetings, events, news), and to communicate with local Linux and FOSS (Free and Open Source) enthusiasts.

The primary modes of interacting with us: mailing list, IRC, or coming to the monthly meetings.

Topic: 
Log Aggregation and Infrastructure Metrics with the Elastic Stack
Presenter: 
Jeff Spahr, Bandwidth, Inc.
When: 
Thursday, 12 April 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).

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.

Topic: 
Accelerating AI with GPUs
Presenter: 
David Williams, NVIDIA
When: 
Thursday, 8 March 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).

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:
NVIDIA

Topic: 
Weather Radio Integration w/Alarm Systems
Presenter: 
Jim Scarborough
When: 
Thursday, 8 February 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).

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.

Topic: 
Containerized Golang applications with Docker and Vue.js
Presenter: 
Jean-Marcel Belmont
When: 
Thursday, 11 January 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).

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.

Topic: 
Annual Holiday Social
When: 
Thursday, 14 December 2017 - 7:00pm to 9:00pm
Where: 
Red Hat Annex, 190 E Davie St, Raleigh, NC 27601
Parking: 
City Center Deck, 429 S Wilmington St - use NE elevator to access Annex

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!

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