How Facebook Makes Mobile Work at Scale for All Phones, on All Screens, on All Networks - High Scalability -
« 5 Tips for Scaling NoSQL Databases: Don’t Trust Assumptions—Test, Test, Test! | Main | Stuff The Internet Says On Scalability For September 19th, 2014 » Update: Instagram Improved Their App's Performance. Here's How. When you find your mobile application that ran fine in the US is slow in other countries, how do you fix it? That’s a problem Facebook talks about in a couple of enlightening videos
How HipChat Stores and Indexes Billions of Messages Using ElasticSearch and Redis - High Scalability -
« Sponsored Post: Netflix, Logentries, Host Color, Booking, Apple, ScaleOut, MongoDB, BlueStripe, AiScaler, Aerospike, LogicMonitor, AppDynamics, ManageEngine, Site24x7 | Main | Stuff The Internet Says On Scalability For January 3rd, 2014 » This article is from an interview with Zuhaib Siddique, a production engineer at HipChat, makers of group chat and IM for teams. HipChat started in an unusual
New Relic Architecture - Collecting 20+ Billion Metrics a Day - High Scalability -
This is a guest post by Brian Doll, Application Performance Engineer at New Relic. New Relic’s multitenant, SaaS web application monitoring service collects and persists over 100,000 metrics every second on a sustained basis, while still delivering an average page load time of 1.5 seconds. We believe that good architecture and good tools can help you handle an extremely large amount of data while
Scaling Twitter: Making Twitter 10000 Percent Faster - High Scalability -
Update 6: Some interesting changes from Twitter's Evan Weaver: everything in RAM now, database is a backup; peaks at 300 tweets/second; every tweet followed by average 126 people; vector cache of tweet IDs; row cache; fragment cache; page cache; keep separate caches; GC makes Ruby optimization resistant so went with Scala; Thrift and HTTP are used internally; 100s internal requests for every exter
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