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.NET Follow 81 Followers

A Little Non-chat About SignalR

Posted by Craig Berntson  on  Oct 21, 2015 Posted by Craig Berntson Follow 0 Followers  on  Oct 21, 2015

Craig Berntson shows code samples for real world uses of SignalR: thermometers, alerts, non-web applications and others.

36:18
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Building Real-time Web Applications with Stratified JavaScript

Posted by Alexander Fritze  on  Jul 24, 2014 Posted by Alexander Fritze Follow 0 Followers  on  Jul 24, 2014

Alexander Fritze shows how to build real-time web app with Conductance, a web app server built on Stratified JavaScript which includes support for modularity and composability of asynchronous code.

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RT-MVC: Real Time Model/View/Controller Applications

Posted by Daniel Erickson  on  Jan 18, 2013 Posted by Daniel Erickson Follow 0 Followers  on  Jan 18, 2013

Daniel Erickson addresses the problems appearing in mixing MVC and real time frameworks in web applications and how Geddy transparently solves these issues.

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The Real-time Web: HTTP/1.1 to WebSocket, SPDY and Beyond

Posted by Guillermo Rauch  on  Jan 18, 2013 Posted by Guillermo Rauch Follow 0 Followers  on  Jan 18, 2013

Guillermo Rauch investigates how some technologies – WebSocket, SPDY, WebRTC, HTTP 2.0 – help with real-time web.

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Real-Time Delivery Architecture at Twitter

Posted by Raffi Krikorian  on  Oct 23, 2012 3 Posted by Raffi Krikorian Follow 0 Followers  on  Oct 23, 2012 3

Raffi Krikorian details Twitter’s timeline architecture, its “write path” and “read path”, making it possible to deliver 300k tweets/sec.

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Chloe and the Real Time Web

Posted by Trotter Cashion  on  Mar 21, 2012 1 Posted by Trotter Cashion Follow 0 Followers  on  Mar 21, 2012 1

Trotter Cashion introduces and demoes Chloe, a web server that handles real time data streaming between browsers and web applications written in any language and using any framework.

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Big Data in Real Time at Twitter

Posted by Nick Kallen  on  Aug 03, 2011 2 Posted by Nick Kallen Follow 0 Followers  on  Aug 03, 2011 2

Nick Kallen discusses how Twitter handles large amounts of data in real time by creating 4 data types and query patterns -tweets, timelines, social graphs, search indices-, and the DBs storing them.

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