June 2009 Blog Posts (3)

New Computer Guide

What to look for when buying a new computer

The following guide will help you to answer the questions of what you need, what do I upgrade, and more.



The first thing you need to consider is what you will be doing with the computer. Will you need to store a lot of video, pictures, and music? Will this be a media center PC? Or will this computer just be a basic email, websurfing, and word processing… Continue

Added by Tim Stevesi on June 18, 2009 at 1:00pm — No Comments

Getting Started with Arduino





I just went to the Maker Faire in the Bay Area with my friend Michael Hauser. The expo was filled with Arduino products! Getting Started with Arduino (Make: Projects)

coincidentally… Continue

Added by Michael Levin on June 14, 2009 at 5:03pm — 1 Comment

Hi from JavaOne!

Hello from the largest dev conf in the world, J1! If you're here, too, please pingme @mikelevin on Twitter. There's a group here especially for J1 - http://www.codetown.us/group/javaone09



If you're here at J1 and want to share your experiences with Codetown, please upload photos, videos, blogposts, etc and tag them "javaone09"



I'll do my… Continue

Added by Michael Levin on June 1, 2009 at 7:32pm — No Comments

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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.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

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

Article: Time-Series Storage: Design Choices That Shape Cost and Performance

Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the choice of database itself. This article works through those fundamentals from first principles, using widely available tools like PostgreSQL and Apache Parquet to make each trade-off measurable.

By Nirmesh Khandelwal

Copy Fail and Dirty Frag: Linux Page-Cache Exploits Target Every Major Distribution

Two recent Linux kernel vulnerabilities have been disclosed: Copy Fail (CVE-2026-31431) on April 29, 2026, and Dirty Frag (CVE-2026-43284 and CVE-2026-43500) on May 7, 2026. Both allow local users to gain root access, affecting multiple Linux distributions. These vulnerabilities exploit flaws in the page cache via different subsystems, necessitating immediate patching by affected organizations.

By Matt Saunders

Cangjie, a New Open-Source Compiled Language with Native Effect Handlers and Algebraic Data Types

Prof. Dan Ghica, who leads the Programming Languages Lab at Huawei’s Edinburgh Research Centre, recently presented Cangjie (CJ), a new application development language that features algebraic data types and effect handlers. The open-sourced language is positioned as a counterpart to Java, Kotlin, or Swift. Cangjie is taught by 80+ universities in China.

By Bruno Couriol

Coder Agents Enable Running AI Coding Workflows on Self-Hosted Infrastructure

Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.

By Sergio De Simone

Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid

Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.

By Leela Kumili

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