Dropr - The Message Queue project for PHP
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Dropr is a PHP-only peer-to-peer message queue with decentralized architecture and no single point of failure. It provides a reliable and durable way to synchronize data between distributed nodes. Jimdo uses dropr to synchronize user, website and other data between its servers located worldwide. Key features of dropr include filesystem storage, parallel upload transport, channels for messages, and durability.
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Javascript Libraries
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How to Make an Eight Bit Computer and Save the World!
How to Make an Eight Bit Computer and Save the World!elliando dias This document summarizes a talk given to introduce an open source 8-bit computer project called the Humane Reader. The talk outlines the goals of providing a cheap e-book reader and computing platform using open source tools. It describes the hardware design which uses an AVR microcontroller and interfaces like video output, SD card, and USB. The talk also covers using open source tools for development and sourcing low-cost fabrication and assembly. The overall goals are to create an inexpensive device that can provide educational resources in developing areas.
Ragel talk
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A Practical Guide to Connecting Hardware to the Web
A Practical Guide to Connecting Hardware to the Webelliando dias This document provides an overview of connecting hardware devices to the web using the Arduino platform. It discusses trends in electronics and computing that make this easier, describes the Arduino hardware and software, and covers various connection methods including directly to a computer, via wireless modems, Ethernet shields, and services like Pachube that allow sharing sensor data over the internet. The document aims to demonstrate how Arduinos can communicate with other devices and be used to build interactive systems.
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Minicurso arduino
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Rango
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Fab.in.a.box - Fab Academy: Machine Design
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Hadoop + Clojure
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Hadoop - Simple. Scalable.
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1) Hadoop solves the problems of analyzing massively large datasets by distributing data storage and analysis across multiple machines to tolerate node failure.
2) Hadoop uses HDFS for distributed data storage, which shards massive files across data nodes with replication for fault tolerance, and MapReduce for distributed data analysis by sending code to the data.
3) The document demonstrates MapReduce concepts like map, reduce, and their composition with an example job.
Hadoop and Hive Development at Facebook
Hadoop and Hive Development at Facebookelliando dias Facebook generates large amounts of user data daily from activities like status updates, photo uploads, and shared content. This data is stored in Hadoop using Hive for analytics. Some key facts:
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- The cluster has 4800 cores and 5.5PB of storage across 12TB nodes.
- Hive is used for over 7500 jobs daily and by around 200 engineers/analysts monthly.
- Performance improvements to Hive include lazy deserialization, map-side aggregation, and joins.
Multi-core Parallelization in Clojure - a Case Study
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- 1. dropr - The Message Queue project for PHP Soenke Ruempler ([email protected]) and Boris Erdmann ( [email protected]) PHP Unconference Hamburg 26-27.04.2008
- 2. What is a Message Queue A FIFO buffer (first in / first out) Asynchronous push / pull paradigm Types of Message Queues Local message queues (Inter Process Communication, Pipes) Network message queues (Middleware) like ActiveMQ, MSMQ, Websphere MQ and dropr :) What is NOT a Message Queue message bus / group communication systems like spread high level frameworks like RPC / RMI etc
- 3. Ok, so what is dropr and why? Dropr is a PHP-only peer-2-peer Message Queue with a local queue storage at each node Why reinvent the wheel? There's no plain PHP message queue Jimdo has a distributed architecture with servers in Germany, USA and China so network outtakes are daily business You could use things like ActiveMQ, but a Java Message System at every node – and connectors are rare
- 4. Requirements and features RELIABLE and DURABLE (failsafe)- messaging over networks decentralized architecture without a single (point of failure) server instance easy to setup and use modularity for queue storage and message transports
- 5. What's currently implemented A filesystem storage (no database needed) A CURL-Upload transport (can handle multiple parallel uploads) Channels for messages Durability and Reliability The client daemon with an angel process if PHP dies :) Monitoring and Queue cleaning scripts Sorry, no real documentation yet, but a Howto
- 6. Ok, too much text
- 7. Use-Cases at Jimdo Jimdo is a online service that lets you easily create beautiful websites with a drag-and- drop interface social networking: friendship, user messages, directory of websites etc. And this with a distributed architecture?
- 8. The challenge Challenge: Distributed world-wide architecture Jimdo has a central database that knows all nodes, users and websites But Websites and Website Data are stored locally within the local nodes Data has to be synchronized with the central managment database So you need the Google borg-network, a worldwide MySQL-Master-Master Ring or a Message Queue
- 9. How is dropr integrated?
- 10. Pros and Cons Vorteile: Nachrichten über Objekt-Updates werden im Hintergrund abgearbeitet Lokale Server sind autark Migrationen sind leichter (einfach den client oder server stoppen) Nachteile Keine direkte Rückmeldung von Remote-Calls, Status muss z.B. per ACK Message transportiert werden
- 11. Live-Presentation Shell :)
- 12. Further Information, References dropr: https://www.dropr.org Jimdo :) http://www.jimdo.com/ Draft for dropr: Wikipedia http://en.wikipedia.org/wiki/Message_queue