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Matt Kuenzel
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- What are your main interests in software development?
- neural nets
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.
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InfoQ Reading List
Podcast: Building the Muscles for Critical Thinking
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Dannielle Pearson about the importance of critical thinking in technology.
By Dannielle Pearson.NET Aspire Preview 6: Enhanced Security and Testing, New Features, and More
This week Microsoft released Preview 6 of the .NET Aspire project. Significant changes have been implemented to enhance the security and reliability of the platform. This release, version 8.0.0-preview.6.24214.1, introduces several noteworthy additions, like changes related to templates, components, dashboard, testing and more.
By Almir VukPresentation: Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
Lily Mara, Hunter Laine walk through the design of a system, its performance characteristics, and how they scaled it.
By Lily Mara, Hunter LaineArticle: Is Your Test Suite Brittle? Maybe It’s Too DRY
One important design principle in software development is DRY – Don’t Repeat Yourself. However, when DRY is applied to test code, it can cause the test suite to become brittle — difficult to understand, maintain, and change. In this article, I will present some indications that a test suite is brittle, guidelines to follow when reducing duplication in tests, and better ways to DRY up tests.
By Kimberly HendrickAllegro Reduces Kafka Producer Latency Outliers by 82% After Switching to XFS
Allegro experimented with different performance optimization options to improve Apache Kafka producer tail latency and eventually switched all its clusters to the XFS filesystem. The company used Kafka protocol sniffing, JVM profiling, and eBPF, which proved instrumental in identifying and eliminating performance bottlenecks.
By Rafal Gancarz
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