Codetown ::: a software developer's community
Simple. If you have a commercial good or service that you'd like to advertise with us, the rate is $95 for 3 months for each ad. This includes jobs, blog posts, events, discussions and anything for which you charge a fee.
Just PayPal the payment to ads@codetown.us and post your ad. You can also mail a check to Cambridge Web Design, PO Box 1741, Winter Park, FL 32790-1741. We accept credit cards, too. Just send Michael Levin a message (mike@codetown.us) with your phone number and we'll chat on the phone.
Please invite some new members, if you please, and feel free to share Codetown's content on other social networks. We have pretty good volume at this point, depending on SEO. It seriously helps when you share and invite people...
If you are looking to post a job description head over to the Groups page. There you will find the Jobs group, where you can post your job as a discussion with a detailed description and salary, rate, or range. We ask you to disclose the compensation as a favor to the developers.
Other places you can advertise include the Events section. We can add a link to your site in the Reading List for the homepage of the Codetown website or one that will show up in the Reading Lists for specific groups.
Codetown content gets marketed, promoted and otherwise passed along by yours truly (in a way I hope is pleasant) to like-minded individuals more or less, depending on the content.
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.
Check out the Codetown Jobs group.

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 Farry
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 Masolo
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 Gancarz
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 LindersThe 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
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