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Interviews
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Peter Bourgon on CRDTs, Go at SoundCloud
Peter Bourgon discusses distributed programming with commutative replicated data types (CRDTs), how they work, what problems they solve, and his experience with using the Go language at SoundCloud.
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Ines Sombra on Data Services at Engine Yard
Engine Yard's Ines Sombra discusses state management in the cloud in general, and specific data stores including MySQL, Postgres and some NoSQL alternatives. She also explains why the pets and cattle analogy doesn't work for her, and what need to be done in organisations with respect to trusting people and trusting the infrastructure.
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Dave McCrory on Data Services
Dave McCrory explains how he coined the term 'data gravity', and how he expects the rise of data related microservices to deal with its consequences. He also gives an overview of Basho's Riak version 2, and what else can be expected from that platform in nearby releases.
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Big Data Architecture at LinkedIn
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
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Justin Sheehy and Damien Katz on Riak and CouchDB
Justin Sheehy and Damien Katz discuss Riak and CouchDB, the strengths and trade-offs of different approaches to NoSQL, and why both databases are written in Erlang.
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Erlang Inventors Talk Language Future
In this interview Joe Armstrong and Robert Virding, co-inventors of the Erlang language, talk about the future of the language, including its use in web programming, its ability to scale and more. The duo also discuss Erlang support for NoSQL databases, running the language on the Java Virtual Machine (JVM) and comparisons with other languages such as Google’s Go.
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Justin Sheehy on Riak
Justin Sheehy explains how Riak was created with ideas from Amazon's Dynamo paper, Riak features and how Riak compares to other NoSQL solutions.
