Codetown ::: a software developer's community
View
| Discussions Started (1) | Replies | Latest Activity |
|---|---|---|
Gainesville Events - web and android appHey guys checkout my new android app for social events in Gainesville http://goo.gl/qF5sT - the web app built in grails http://goo.gl/bQH… Started by Nemanja Nesic - NEM- in Java |
10 |
Dec 9, 2012 Reply by Michael Levin |
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.

After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with RAM instead of disk, and a hard podAffinity rule forced all executors onto one node. Together, they caused repeated OOM kills invisible to standard diagnostics.
By Pranav Bhasker
Node.js will change its release schedule starting with version 27 in October 2026, moving from two major releases per year to one. All releases will become Long-Term Support (LTS), removing the distinction between odd and even versions. An Alpha channel for early testing will also be introduced. This decision addresses maintenance challenges and aims to align with user needs.
By Daniel Curtis
Kyle Lexmond explains how to handle the high-pressure environment of severe production outages. He discusses the critical distinction between mitigation and root-cause resolution, sharing personal experiences from harrowing incident rooms. He shares valuable operational strategies on overcoming cognitive overload, establishing blameless cultures, and optimizing systems for faster recovery.
By Kyle Lexmond
OpenTelemetry has introduced a new "Blueprints" initiative aimed at reducing the growing complexity of deploying and operating observability systems at scale.
By Craig Risi
In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution.
By Aaditya Chauhan
© 2026 Created by Michael Levin.
Powered by