Codetown
Codetown ::: a software developer's community
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We've had a unique opportunity to speak with Brion Vibber recently at the October Orlandojug meeting. Let's discuss what we learned for those who couldn't attend and to expand on what we heard. We'll discuss technical and socio-cultural topics.
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Latest Activity: Oct 27, 2011
About Wikipedia Place
Wikipedia is arguably the most popular and high volume site on the web. Brion Vibber has been the tech guy since the start. He described the initial architecture on Swampcast as just a couple of LAMP servers in Tampa. Since then the architecture has evolved and many lessons have been learned.
There are also workflow, ancillary sites, the community aspect and many other aspects of Wikipedia we can learn from and even influence in the future.
(book photo from FromOldBooks)
Discussion Forum
Wikipedia Architecture - High Level View
The Wikipedia website began as a couple of LAMP servers. Brion described the wiki he chose and other details in the…Continue
Tags: vibber, performance, LAMP, swampcast, architecture
Started by Michael Levin Nov 2, 2009.
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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
Presentation: A Framework for Building Micro Metrics for LLM System Evaluation
Denys Linkov shares lessons on preventing LLM production issues. He explains the flaws of single metrics, the importance of treating models as observable systems, building user-issue-alerting metrics, and focusing on business value. He emphasizes a "crawl, walk, run" approach to LLM metric maturity for successful, trust-building deployments.
By Denys LinkovGoogle DeepMind Unveils AlphaGenome: A Unified AI Model for High-Resolution Genome Interpretation
Google DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.
By Robert KrzaczyńskiJakarta EE 11 Delivers One New Specification, 16 Updated Specifications and Modernized TCK
What was originally planned for a full GA release of Jakarta EE 11 in July 2024, only the Core Profile and the Web Profile were delivered in December 2024 and April 2025, respectively. And now, the Jakarta EE 11 Platform has been delivered featuring one new specification and a new TCK. Ed Burns, Release Coordinator for Jakarta EE 11, spoke to InfoQ about the release of Jakarta EE 11.
By Michael RedlichLogz.io and Dynatrace Innovations Shift Observability Into the AI Age
Major observability platform providers are integrating artificial intelligence into their monitoring systems, as enterprises look to their suppliers to reduce the manual work involved in keeping an eye on digital infrastructure. Companies have implemented AI-driven features designed to automate routine operational tasks and accelerate incident resolution processes.
By Matt SaundersReport Shows OpenTelemetry’s Impact on Go Performance
A new benchmark study from observability platform Coroot has shed light on the performance costs of implementing OpenTelemetry in high-throughput Go applications. The findings show that while OpenTelemetry delivers valuable trace-level insights, it introduces notable overhead, increasing CPU usage by approximately 35% and increasing network traffic and latency under load.
By Craig RisiSwitch to the Mobile Optimized View
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