InfoQ Homepage Performance & Scalability Content on InfoQ
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League of Legends: Scaling to Millions of Ninjas, Yordles, and Wizards
Scott Delap and Randy Stafford explain the architectural decisions made in order to scale, monitor and operate the game League of Legends, bringing insight on how they use Oracle Coherence for that.
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Scaling the Social Graph: Infrastructure at Facebook
Jason Sobel presents the evolution of Facebook’s infrastructure over time, from the original LAMP stack to the present multi-datacenter configuration, the challenges faced and plans for the future.
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Hot Swapping Your Engines At 30,000 Feet
Rod Barlow talks about the architectural redesign of the Shopzilla.com website, sharing the solutions chosen over the old ones and the lessons learned while doing it.
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Scaling with MongoDB
Roger Bodamer provides advice on scaling out MongoDB using replica sets and auto-sharding, plus tips for database deployment and scaling use cases.
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Yes, SQL!
Uri Cohen presents the key characteristics of SQL and NoSQL databases and how to create a layer on top of distributed data stores in order to use SQL to query for data.
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NoSQL at Twitter
Ryan King presents how Twitter uses NoSQL technologies - Gizzard, Cassandra, Hadoop, Redis - to deal with increasing data amounts forcing them to scale out beyond what the traditional SQL has to offer
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Enterprise NoSQL: Silver Bullet or Poison Pill?
Billy Newport explains the fundamental differences between SQL and NoSQL, creating awareness that NoSQL is not suited for many cases, and people should make informed decisions before buying into it.
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Squid Wrangling
Sam Newman and Chris Read describe the architectural change of a large European website by introducing a caching layer based on Squid, and the cultural change done by breaking down the dev-ops silos.
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Netflix in the Cloud
Adrian Cockcroft discusses the advantages of running Netflix on AWS, comparing the old data center solution against the new cloud architecture, the current implementation and plans for the future.
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Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
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LMAX - How to Do 100K TPS at Less than 1ms Latency
Martin Thompson and Michael Barker talk about building a HPC financial system handling over 100K tps at less than 1ms latency by having a new approach to infrastructure and software.
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High Performance Websites in the Cloud
Matt Wood presents the most important AWS services, explaining how to scale up and out, how to extend the basic stack, how to use storage, and how to manage MySQL databases running on EC2.
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