InfoQ Homepage Fault Tolerance Content on InfoQ
Interviews
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Peter Alvaro on Distributed Programming, CRDTs, LDFI
Peter Alvaro discusses some of the reasons that distributed programming is hard, Lineage-driven Fault Injection, static analysis to check deterministic behaviour, CRDTs, and much more.
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Jeremy Pollack of Ancestry.com on Test-driven Development and More
Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
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Ben Christensen on Resilience at Netflix with Hystrix, Reactive Programming for the JVM with RxJava
Ben Christensen explains how Netflix manages to stay online even with millions of users, the Hystrix fault tolerance library, how Netflix discovered reactive programming and why it ported Rx to Java.
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Jonas Bonér and Kresten Krab Thorup on Bringing Erlang's Fault Tolerance and Distribution to Java with Akka and Erjang
Jonas Bonér and Kresten Krab Thorup discuss some key aspects of Erlang like fault tolerance and reliability and how the Akka and Erjang projects try to bring them to the JVM.
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Ville Tuulos on Big Data and Map/Reduce in Erlang and Python with Disco
Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.
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Francesco Cesarini and Simon Thompson on Erlang
Francesco Cesarini and Simon Thompson discuss how Erlang's design allows fault tolerance and resilience, modular error handling, details of the actor model implementation and distributed programming.
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Debasish Ghosh on DSLs and Akka
Debasish Gosh talks about Domain Specific Languages: how to build DSLs with Scala or XText, real world DSLs, parser combinators and monads. Also: how Akka brings actor-based programming to the JVM.
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Randy Shoup Discusses the eBay Architecture
In this interview from QCon San Francisco 2007, Randy Shoup discusses the architecture of eBay. Topics discussed include eBay's architectural principles, horizontal and vertical partitioning, ACID vs. BASE, handling data inconsistency, distributed caching, updating eBay on the fly, architectural and coding standards, eBay's search infrastructure, grid computing, and SOA.
