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Cloud Computing is an enabling technology that essentially relies on distributed data stores and networks to allow data storage across distributed containers. There are many pros and cons to consider, a world of approaches and uses to discuss. We'll talk about them here in the Cloud Computing Village. Join us!
I don't clearly catch the difference betwenn these two concept. Someone told me that the essential différence is that the cloud computing give you a large space of storage and the grig give more…Continue
Started by Hervé-greg MOKWABO. Last reply by Hervé-greg MOKWABO Nov 29, 2011.
After reviewing architecture models from several vendors and industry organizations, I believe we are witnessing an early evolutionary period, rather than the culmination of PaaS. The lack of…Continue
Tags: architecture, Cloud, PaaS
Started by Chris Haddad Nov 25, 2011.
Hey everyone,Don't know if you remember me but I did the Android class last year. Anyway I just published my first app. It is a pay app but that is to support development :-). Anyway look up Motion…Continue
Tags: Android
Started by Jackie Gleason. Last reply by Michael Levin Oct 25, 2011.
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Orlando Workshop on December 15, 2011
Title: understanding cloud-enabled modular middleware
WSO2 Carbon and Stratos provides a complete middleware platform for Enterprise computing: from on-premise to a full cloud-enabled runtime. In this session we will spend the morning looking at the Carbon platform – including leading ESB, AppServer, Governance Registry and more. In the afternoon we will look at the way this runtime is also available in a multi-tenant scalable, elastic architecture. This session will cover SOA and Cloud middleware, PaaS as well as digging deep into Cloud concepts.
This hands-on workshop provides a real opportunity to understand Carbon, OSGi middleware, PaaS, Stratos, and get going with a Cloud Platform. StratosLive is a complete running platform in the cloud, and participants will be encouraged to set up a tenant using their laptops during the workshop, and will understand how to install and use Stratos in a Private PaaS environment.
Location: Orlando, FL
Date: December 15, 2011
Registration page: http://wso2.com/events/workshops/2011-december-orlando-carbon-and-s...
Michael
Look forward to checking out the newest old technology! ;-)
Thanks,
Thomas
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.
Check out the Codetown Jobs group.

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 Vasudevan
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 Alford
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 Risi
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 Wiggers
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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