InfoQ Homepage Performance Content on InfoQ
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Reliability Engineering Matters, Except When It Doesn't
Michael Nygard shares essential Reliability Engineering techniques that can keep systems from falling apart, but the discipline has some limitations to be considered.
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Max Protect: Scalability and Caching at ESPN.com
Sean Comerford unveils ESPN.com’s architecture, what components are used and why, and the current changes the website goes through.
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Concurrent Caching at Google
Charles Fry presents MapMaker, an in-memory caching solution on the JVM, discussing its API and implementation evolution along with internal details.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains the workings of a garbage collector: terminology, metrics, fundamentals, key mechanisms, classification of current GCs, the “Application Memory Wall” problem, and details Azul C4 GC.
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Asynchronous Memcached with a Side of Ketchup and Membase
Jason Sirota explains with code samples how to combine caching with asynchronous IO using memcached, Membase and Ketchup in order to maximize the throughput of an application.
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Membase NoSQL: Clustered by Erlang
Sean Lynch and Matt Ingenthron introduce Membase, detailing how they added clustering features in Erlang, what they built and what lessons they leaned along the way.
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Above the Clouds: Introducing Akka
Jonas Bonér introduces Akka, a JVM platform that wants to address the complex problems of concurrency, scalability and fault tolerance using Actors, STM and self-healing from crashes.
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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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Get Satisfaction Uses Ruby on Rails and Cloud Computing Platform to Achieve Scalability and Reliability
Thor Muller presents how Get Satisfaction managed to reliably scale their Ruby on Rails-based customer community platform using Agile, TDD, BDD, and by deploying their framework in the cloud.
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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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