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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.
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Platform engineering should have a product focus, as developers are customers; they must provide composable, self-service capabilities, golden bricks rather than rigid golden paths, so teams can move quickly while maintaining consistency. Success is measured through adoption, developer experience, and business outcomes such as deployment frequency and change failure rate.
By Ben Linders
The OpenTofu community released version 1.12.0 on May 14, 2026. This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.
By Claudio Masolo
Google introduced new Android development tools that enable building apps up to 3x faster by using AI agents, including a redesigned Android command-line interface (CLI), structured skills", and an integrated knowledge base. These tools are designed to support agent-driven workflows and are compatible with third-party agents such as Claude Code and Codex, in addition to Google Gemini.
By Sergio De Simone
Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.
By Rajesh Kumar Pandey
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.
By Leela Kumili
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