InfoQ Homepage Performance & Scalability Content on InfoQ
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Big Data in Real Time at Twitter
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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Beyond The Data Grid: Coherence, Normalization, Joins and Linear Scalability
Ben Stopford presents ODC, a highly distributed in-memory normalized NoSQL datastore designed for scalability, based on normalized data, Snowflake Schema, and Connected Replication pattern.
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Netflix’s Cloud Data Architecture
Siddharth Anand overviews Netflix’s business model, then he explains why they chose Amazon AWS, and how they moved their data into the cloud using a NoSQL solution.
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More Best Practices for Large-Scale Websites: Lessons from eBay
Randy Shoup: Partition Everything, Asynchrony Everywhere, Automate, Everything Fails, Embrace Inconsistency, Expect (R)evolution, Dependencies Matter, Respect Authority, Data, Custom Infrastructure.
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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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