Codetown
Codetown ::: a software developer's community
-
Bottling Machine
- Vista, CA
- United States
- Blog Posts
- Discussions
- Events
- Groups
- Photos
- Photo Albums
- Videos
RSS
PSA-106
Accutek’s PSA-106 labeler is economical, self-contained, and easy to operate. …
The post appeared first on Accutek Packaging Machinery.
Cotton Inserter
Accutek’s Cotton Inserter is a sleek machine that can be used as either a standalone unit or as part of an integrated line alongside bottle feeders, counters, cappers, and more. It automatically loads strips of cotton into containers, pulling, cutting, and feeding the cotton into an inserting guide rail via a continuously rotating DC motor.
The post appeared first on Accutek Packaging Machinery.
APS 216
The APS-216 (Automatic Pressure Sensitive) is an easy-to-use machine that …
The post appeared first on Accutek Packaging Machinery.
Table Top Semi Auto Bottle Cleaner – Bottle-Blower
The Accutek Bottle Blower is designed to dry out the …
The post appeared first on Accutek Packaging Machinery.
Gifts Received
Bottling Machine has not received any gifts yet
Bottling Machine's Page
Profile Information
- How did you hear about Codetown?
- Social Media
- What are your main interests in software development?
- Software Architecture
- Do you have a website?
- http://trusted-medications.com
- Anything else you'd like to add? Where do you live? (optional!)
- I am Johanna Vasquez, and I am a dedicated and results-driven accountant with a passion for numbers and financial analysis. With 25 years of experience in the field, I have honed my skills in financial management, auditing, and reporting. I hold a Bachelor's Degree in Accounting from University of Tampa, where I developed a solid foundation in financial principles and practices.
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
Article: Beyond One-Click: Designing an Enterprise-Grade Observability Extension for Docker
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 KeshapAirbnb Migrates High-Volume Metrics Pipeline to OpenTelemetry
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 MasoloGoogle Released Gemma 4 with a Focus On Local-First, On-Device AI Inference
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 SimoneLyft Scales Global Localization Using AI and Human-in-the-Loop Review
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 KumiliPresentation: Reimagining Platform Engagement with Graph Neural Networks
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
© 2026 Created by Michael Levin.
Powered by
Comment Wall
You need to be a member of Codetown to add comments!
Join Codetown