InfoQ Homepage Performance & Scalability Content on InfoQ
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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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Abstractions at Scale–Our Experiences at Twitter
Marius Eriksen considers that leaky abstractions lead to scalability issues, while those providing narrow access to explicit resources - map-reduce, shared-nothing web apps, big table - scale better.
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Development at the Speed and Scale of Google
Ashish Kumar on how Google keeps the source code of over 2000 projects in a single code trunk containing 100s of M of code lines, with more than 5,000 developers accessing the same repository.
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The Evolution of the Flickr Architecture
Mikhail Panchenko discusses how Flickr’s code base developed over the years and the scalability problems that started to appear, presenting the the improvements and pros/cons of technologies used.
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Scaling Australia's Most Popular Online News Sites with Ehcache
A real-world experience of implementing Ehcache at Australia's most visited online news site. How to deal with high traffic, concurrency, and how to implement linear scalability.
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Fast Enough
Cliff Moon explains how to make Erlang programs faster by writing performance critical sections of the code in C using NIFs and by integrating libraries using the linked-in driver interface.
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Performance Testing at the Edge
Alois Reitbauer shows how to do performance testing during development, testing, and production by starting early in the development phase, breaking the test into pieces, and testing continuously.
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Neo4j: NOSQL and the Benefits of Graph Databases
Emil Eifrem overviews the trends leading to NOSQL, and four emerging NOSQL solutions. He also explains the internals of a graph database and an example of using Neo4j – a graph DB - in production.
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Social Networks: Getting Distributed Web Services Done with NoSQL
Lars George and Fabrizio Schmidt present Germany’s largest social networks, Schuelervz, Studivz and Meinvz, the initial architecture, why it didn’t work and how they solved it with a NoSQL solution.
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