Tag: memory

Episode 490: Tim McNamara on Rust 2021 Edition

Filed in Episodes by on December 15, 2021 0 Comments
Episode 490: Tim McNamara on Rust 2021 Edition

Tim McNamara, author of Rust in Action, an introduction Rust for programmers who have never used a systems programming language, discusses the top three benefits of Rust and why they make it a performant, reliable and productive programming language. Host Gavin Henry spoke with McNamara about its rich type system, ownership models, memory safety, thread […]

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SE-Radio Episode 260: Haoyuan Li on Alluxio

Filed in Episodes by on June 14, 2016 0 Comments
SE-Radio Episode 260: Haoyuan Li on Alluxio

Jeff Meyerson talks to Haoyuan Li about Alluxio, a memory-centric distributed storage system. The cost of memory and disk capacity are both decreasing every year–but only the throughput of memory is increasing exponentially. This trend is driving opportunity in the space of big data processing. Alluxio is an open source, memory-centric, distributed, and reliable storage […]

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Episode 169: Memory Grid Architecture with Nati Shalom

Filed in Episodes by on November 30, 2010 2 Comments
Episode 169:  Memory Grid Architecture with Nati Shalom

In this episode, Robert talks with Nati Shalom about the emergence of large-system architectures consisting of a grid of high-memory nodes.

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Episode 165: NoSQL and MongoDB with Dwight Merriman

Filed in Episodes by on July 16, 2010 9 Comments
Episode 165: NoSQL and MongoDB with Dwight Merriman

Dwight Merriman talks with Robert about the emerging NoSQL movement, the three types of non-relational data stores, Brewer’s CAP theorem, the weaker consistency guarantees that can be made in a distributed database, document-oriented data stores, the data storage needs of modern web applications, and the open source MongoDB.

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Episode 162: Project Voldemort with Jay Kreps

Filed in Episodes by on May 16, 2010 9 Comments
Episode 162: Project Voldemort with Jay Kreps

Jay Kreps talks about the open source data store Project Voldemort. Voldemort is a distributed key-value store used by LinkedIn and other high-traffic web sites to overcome the inherent scalability limitations of a relational database. The conversation delves into the workings of a Voldemort cluster, the type of consistency guarantees that can be made in a distributed database, and the tradeoff between client and the server.

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