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October 2011 Blog Posts (6)
Ensemble - now called Juju, Ubuntu's Cloud
Ensemble: service orchestration for the cloud (my work for Ubuntu Server) http://fewbar.com/2011/06/so-what-is-ensemble-anyway - via Jim Baker
Jim and I spent some time…
ContinueAdded by Michael Levin on October 30, 2011 at 5:30pm — 2 Comments
OrlandoJUG October Open Spaces Meeting Rocked!
We had a great time at the OrlandoJUG meeting tonight. It was an Open Spaces style meeting and a potluck dinner. We had some new faces and certainly covered interesting topics. Here are a few:
1. Cloud Computing
2. JavaOne 2011
3. Managing dev, test and production environments
4. OSGi - what it is and how…
ContinueAdded by Michael Levin on October 27, 2011 at 11:11pm — No Comments
It's all about Yandda! (an Android app)
Added by Bulama Yusuf on October 26, 2011 at 11:24am — No Comments
Good times at JCertif in the Congo
Let me indulge with this photo...it was such a great time at the first JCertif and you know, you have a chance coming up in just 11 months to be a part of it again! www.jcertif.com has all the details. Check out some of the African JUGs on Codetown while you're at it.… Continue
Added by Michael Levin on October 25, 2011 at 8:00pm — No Comments
Dennis Ritchie has Died
Added by Michael Levin on October 25, 2011 at 10:30am — No Comments
Take a peek under the covers of a website
Here's a website with open source code:
A cheap replacement for ching(6)
ching(6), the old amusement found in BSD 4.[234], has disappeared from the face of the net. I wanted it back. Fortunately finding the full text of the Wilhelm translation of the I Ching was easy. So was writing a program to read it.…
ContinueAdded by Michael Levin on October 9, 2011 at 2:00pm — 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.
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: Trustworthy Productivity: Securing AI-Accelerated Development
Sriram Madapusi Vasudevan discusses industry-converging patterns for securing autonomous AI agents in production. He explains the critical vulnerabilities hidden inside the ReAct loop across context, reasoning, and tool execution. He shares how to mitigate risks like memory poisoning and rogue tool execution using defense-in-depth strategies, LLM-as-a-judge critics, and MAESTRO threat modeling.
By Sriram Madapusi VasudevanElastic Open-Sources Atlas Agent Memory Based on Cognitive Science
Elastic open-sourced Atlas, a system built on Elasticsearch that maintains three categories of memory for agents. Atlas integrates with agents via MCP and maintains per-user isolation of memories. When evaluated on question-answering capability, it scored 0.89 Recall@10.
By Anthony AlfordMicrosoft Brings AI-Powered Vulnerability Remediation to Azure DevOps with Copilot Autofix
Microsoft has announced the limited public preview of Copilot Autofix for GitHub Advanced Security for Azure DevOps, extending AI-powered vulnerability remediation to teams using Azure Repos.
By Craig RisiAWS Launches Lambda MicroVMs for Isolated Agent and User Code Execution
AWS launched Lambda MicroVMs, a new serverless compute primitive that runs each user session or AI agent in its own Firecracker virtual machine with hardware-level isolation, snapshot-based rapid launch, and state preservation for up to eight hours. Reddit community analysis found the minimum setup costs $3.03/day, roughly 9x Fargate spot pricing.
By Steef-Jan WiggersArticle: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design
Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.
By Sagar Deepak Joshi
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