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
10 Things You Should Know About AWS - High Scalability -
« Paper: Tempest: Scalable Time-Critical Web Services Platform | Main | ESPN's Architecture at Scale - Operating at 100,000 Duh Nuh Nuhs Per Second » Authored by Chris Fregly: Former Netflix Streaming Platform Engineer, AWS Certified Solution Architect and Purveyor of fluxcapacitor.com. Ahead of the upcoming 2nd annual re:Invent conference, inspired by Simone Brunozzi’s recent presentation at an
Gone Fishin': Tumblr Architecture - 15 Billion Page Views A Month And Harder To Scale Than Twitter - High Scalability -
With over 15 billion page views a month Tumblr has become an insanely popular blogging platform. Users may like Tumblr for its simplicity, its beauty, its strong focus on user experience, or its friendly and engaged community, but like it they do. Growing at over 30% a month has not been without challenges. Some reliability problems among them. It helps to realize that Tumblr operates at surprisin
Masstree - Much Faster than MongoDB, VoltDB, Redis, and Competitive with Memcached - High Scalability -
The EuroSys 2012 system conference has an excellent live blog summary of their talks for: Day 1, Day 2, Day 3 (thanks Henry at the Paper Trail blog). Summaries for each of the accepted papers are here. One of the more interesting papers from a NoSQL perspective was Cache Craftiness for Fast Multicore Key-Value Storage, a wonderfully detailed description of the low level techniques used to implemen
A Bunch of Great Strategies for Using Memcached and MySQL Better Together - High Scalability -
The primero recommendation for speeding up a website is almost always to add cache and more cache. And after that add a little more cache just in case. Memcached is almost always given as the recommended cache to use. What we don't often hear is how to effectively use a cache in our own products. MySQL hosted two excellent webinars (referenced below) on the subject of how to deploy and use memcach
How Twitter Stores 250 Million Tweets a Day Using MySQL - High Scalability -
Jeremy Cole, a DBA Team Lead/Database Architect at Twitter, gave a really good talk at the O'Reilly MySQL conference: Big and Small Data at @Twitter, where the topic was thinking of Twitter from the data perspective. One of the interesting stories he told was of the transition from Twitter's old way of storing tweets using temporal sharding, to a more distributed approach using a new tweet store c
Awesome List of Advanced Distributed Systems Papers - High Scalability -
As part of Dr. Indranil Gupta's CS 525 Spring 2011 Advanced Distributed Systems class, he has collected an incredible list of resources on distributed systems. His research group is also doing some interesting work. The various topics include: Before there Were Clouds, Cloud Computing, P2P Systems, Basic Distributed Computing Concepts, Sensor Networks, Overlays and DHTs, Cloud Programming, Cloud S
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Saving Cash Using Less Cache - 90% Savings in the Caching Tier - High Scalability -