InfoQ Homepage Performance Content on InfoQ
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Interview with Graham Lee on the Discworld App
Graham Lee talks to InfoQ at QCon London 2013 about the creation of the Discworld app, and how the media-rich application benefited from automated testing and performance optimisations to be performant on retina class iPads.
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Alex Papadimoulis on Delivering Web Scale Systems
Alex Papadimoulis shares his thoughts on distribution vs delivery, decoupling infrastructure (pull) from application (push) deployments and keeping delivery systems simple, especially for web scale applications. In particular Alex describes three different types of roll-outs: Live, Rolling and Parallel and their applicability (cloud-based delivery vs in-house servers).
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Martijn Verburg Talks About jClarity, Adopt a JSR and Java Security
Martijn Verburg discusses his new start-up jClarity, which offers performance tooling for the Cloud. He also provides an update on the Adopt a JSR and Adopt OpenJDK programs.
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Jim Hirschauer on Application Monitoring, AppDynamics 3.7
Jim Hirschauer describes the application monitoring tool landscape, KPIs and metrics to consider when monitoring, and compares monitoring traditional vs. cloud-based applications. He talks about performance considerations when instrumenting code, how organizations can be 'Smarter' about their Big Data, and looks at what's new in AppDynamics 3.7.
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Javascript Performance with Stoyan Stefanov
Stoyan talks about the tools and practises that help developers deal with the issues that affect performance of JavaScript applications. He also comments on the evolution of the language and the popularity of transpilers like CoffeeScript and TypeScript.
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Michael Nygard - Redefining CAP
In this InfoQ interview, Michael Nygard explores some of the available loopholes in the CAP theorem helping architects to engineer distributed systems that meet their needs. He also discusses new patterns he’s observed since his book, Realease IT and shares his thoughts on continuous delivery, DevOps and ALM.
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Rick Hudson on Parallel JavaScript (RiverTrail)
In this interview, Intel's Rick Hudson talks about Parallel JavaScript (formerly known as "RiverTrail"), a new parallel programming API designed specifically for JavaScript. Rick describes RiverTrail and its vision of how to leverage current and future parallel hardware from within the browser and JavaScript.
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Ken Little on Scaling Tumblr
Ken Little talks about scaling Tumblr to keep up with their blogging users: scaling the data model, sharding, their PHP frontend and the Scala backend, and much more.
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Serkan Piantino on Scaling Facebook
Serkan Piantino explains how Facebook has managed to scale up, what types of errors occur in an architecture that size and how to handle them, RAM vs disk, and much more.
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Rich Hickey and Justin Sheehy about Datastores, NoSql and CAP
Rich Hickey and Justin Sheehy talk about scalability and transactionability of datastores. They explain tradeoffs for achieving read and/or write scalability on top of Datomic and Riak.
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Optimizing for Big Data at Facebook
Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.
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Operating Node.js in Production, with Bryan Cantrill
Bryan talks about the challenges of operating Node.js in real production environments and the experiences he had working with it at Joyent. He also talks about DTrace, SmartOS, V8 and compares with other platforms.