Codetown ::: a software developer's community
Time: June 24, 2010 from 6pm to 9pm
Location: DeVry University
Street: 4000 Millennia Blvd room 106 106 106
City/Town: Orlando
Website or Map: http://www.orl.devry.edu/camp…
Phone: Skype ::: mlevin77
Event Type: meeting
Organized By: Michael Levin
Latest Activity: Jun 25, 2010
From IDE to Data Center - What Every Developer Should Know About Deploying Distributed Systems to Production
Taking a distributed system from development into a working production environment is a challenge that many developers take for granted. This talk will explore these challenges, especially scenarios that are not typically seen in a development setting.
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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.
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Docker Extensions boost developer speed but create a "visibility gap" by isolating telemetry. To meet enterprise needs, extensions must act as bridges to centralized platforms. This article details how to use OpenTelemetry, policy-as-code, and encryption to build secure pipelines. Learn to balance developer productivity with the governance required for scalable, compliant observability.
By Pragya Keshap
Airbnb's observability engineering team has published details of a large-scale migration away from StatsD and a proprietary Veneur-based aggregation pipeline toward a modern, open-source metrics stack built on OpenTelemetry Protocol (OTLP), the OpenTelemetry Collector, and VictoriaMetrics' vmagent. The resulting system now ingests over 100 million samples per second in production.
By Claudio Masolo
With the release of Gemma 4, Google aims to enable local, agentic AI for Android development through a family of models designed to support the entire software lifecycle, from coding to production.
By Sergio De Simone
Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.
By Leela Kumili
Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.
By Mariia Bulycheva
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