Codetown
Codetown ::: a software developer's community
AITP March Presentation: Daniel Evenson of Pathway Systems
Event Details
Time: March 25, 2014 from 5:45pm to 7:45pm
Location: UF Hilton
Street: 1714 SW 34th St
City/Town: Gainesville
Website or Map: http://www.aitp-ncfl.org/
Phone: (352) 354-AITP
Event Type: dinner, presentation
Organized By: AITP North Central Florida Chapter
Latest Activity: Mar 21, 2014
Event Description
University of Florida graduate Daniel Evenson founded Pathway Systems in 2008 to solve IT complexity problems using graph theory and modeling/simulation.
Daniel will present strategies for documenting and understanding large, complex IT systems via dependency mapping.
Daniel will also demonstrate Blueprints, a solution built around Open Source tools that provides visualization of structured information, communicating useful information about connectivity and status.
For complete information about this presentation, please download the meeting flyer at www.aitp-ncfl.org/pdf/201403.pdf
Comment Wall
Comment
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Transformers v5 Introduces a More Modular and Interoperable Core
Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs.
By Robert KrzaczyńskiMeta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization
Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more.
By Sergio De SimoneLyft Rearchitects ML Platform with Hybrid AWS SageMaker-Kubernetes Approach
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies.
By Eran StillerAWS Transform Custom Tackles Technical Debt
AWS Transform Custom revolutionizes code modernization with AI-driven, out-of-the-box transformations for Java, Node.js, and Python. This enterprise-focused tool accelerates application upgrades by up to 5x while learning from organizational nuances to deliver high-quality, repeatable transformations.
By Steef-Jan WiggersArticle: Trustworthy Productivity: Securing AI Accelerated Development
Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.
By Sriram Madapusi Vasudevan
© 2025 Created by Michael Levin.
Powered by
RSVP for AITP March Presentation: Daniel Evenson of Pathway Systems to add comments!
Join Codetown