Codetown
Codetown ::: a software developer's community
Scala
Information
Scala is a general programming language and it runs on JVM. It's a static typed language with many features that make code concise and flexible.
Website: http://scala-lang.org
Location: Orlando
Members: 5
Latest Activity: Jul 27, 2011
Discussion Forum
A file poller implementation in Scala
Want to see how a file poller in Scala looks like? Check out…Continue
Started by Zemian Deng Mar 7, 2009.
Hello world
Perhaps I should have post this as my first message to the group, but I will add it anyway for completeness. Or in case someone wants to try Scala out and at least you can grap this template to start…Continue
Started by Zemian Deng Mar 3, 2009.
Simplifying Java Exception with Scala
One feature of Scala is it reuse Java's Exception class hierarchies, but much easier to use. For one thing, it treats Exception as "unchecked" just like RuntimeException, which I think one of the…Continue
Started by Zemian Deng Mar 3, 2009.
Scala Reading List
Loading feed
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
Grab Adds Real-Time Data Quality Monitoring to Its Platform
Grab updated its internal platform to monitor Apache Kafka data quality in real time. The system uses FlinkSQL and an LLM to detect syntactic and semantic errors. It currently tracks 100+ topics, preventing invalid data from reaching downstream users. This proactive strategy aligns with industry trends to treat data streams as reliable products.
By Patrick FarryNVIDIA Dynamo Addresses Multi-Node LLM Inference Challenges
Serving Large Language Models (LLMs) at scale is complex. Modern LLMs now exceed the memory and compute capacity of a single GPU or even a single multi-GPU node. As a result, inference workloads for 70B+, 120B+ parameter models, or pipelines with large context windows, require multi-node, distributed GPU deployments.
By Claudio MasoloKarrot Improves Conversion Rates by 70% with New Scalable Feature Platform on AWS
Karrot replaced its legacy recommendation system with a scalable architecture that leverages various AWS services. The company sought to address challenges related to tight coupling, limited scalability, and poor reliability in its previous solution, opting instead for a distributed, event-driven architecture built on top of scalable cloud services.
By Rafal GancarzGrowing Yourself as a Software Engineer, Using AI to Develop Software
Sharing your work as a software engineer inspires others, invites feedback, and fosters personal growth, Suhail Patel said at QCon London. Normalizing and owning incidents builds trust, and it supports understanding the complexities. AI enables automation but needs proper guidance, context, and security guardrails.
By Ben LindersArticle: Scaling Cloud and Distributed Applications: Lessons and Strategies
The article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
By Durai Arasan
© 2025 Created by Michael Levin.
Powered by
You need to be a member of Scala to add comments!