InfoQ Homepage Architecture Content on InfoQ
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Deriving Agility from SOA and BPM - Ten Things that Separate the Winners from the Losers
Manas and Clemens discuss deriving business agility from SOA and BPM, how SOA and BPM enable agility, and pitfalls/recommendations for organizational culture, business and technical architectures.
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NoSQL at Twitter
Kevin Weil presents how Twitter does data analysis using Scribe for logging, base analysis with Pig/Hadoop, and specialized data analysis with HBase, Cassandra, and FlockDB.
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Node.js: Asynchronous Purity Leads to Faster Development
Ryan Dahl demonstrates how to use Node.js’ asynchronous IO model to write simple HTTP servers that scale up serving thousands of connections while using a very low memory footprint and few CPU cycles.
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Large Scale Map-Reduce Data Processing at Quantcast
Ron Bodkin presents the architecture used by Quantcast to process 100s of TB of data daily using Hadoop on dedicated systems, the applications, the type of data processed, and the infrastructure used.
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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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HyperGraphDB - Data Management for Complex Systems
Borislav Iordanov presents the architecture of HyperGraphDB, a special type of store based on hypergraphs – graphs with edges pointing to an arbitrary number of nodes and to other edges.
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Using REST for SOA
Stefan Tilkov makes a case for using REST for SOA showing how to implement tricky features like encapsulation, transactions, stateful communication, notifications, and security at the enterprise level
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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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