Codetown
Codetown ::: a software developer's community
Wikipedia Place
Information
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.
Members: 9
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.
Wikipedia Place 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
Article: A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
By Denys LinkovGoogle Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
By Daniel DominguezGoogle Vertex AI Provides RAG Engine for Large Language Model Grounding
Vertex AI RAG Engine is a managed orchestration service aimed to make it easier to connect large language models (LLMs) to external data sources to be more up-to-date, generate more relevant responses, and hallucinate less.
By Sergio De SimoneAWS Adds Container Insights with Enhanced Observability to Elastic Container Service
AWS recently announced the launch of Container Insights with Enhanced Observability for Amazon Elastic Container Service (ECS). This goes on the lines of a similar feature previously introduced for Amazon Elastic Kubernetes Service (EKS). This new capability aims to improve monitoring and troubleshooting for container workloads.
By Aditya KulkarniTerraform Fork OpenTofu Adds Provider Iteration and Exclusions
Version 1.9.0 of OpenTofu - the infrastructure-as-code tool forked a year ago from Hashicorp's Terraform - has been released. This release brings several significant features, including provider iteration capabilities through `for_each`, to enable simplified multi-zone and multi-region deployments.
By Matt Saunders
© 2025 Created by Michael Levin.
Powered by
You need to be a member of Wikipedia Place to add comments!