InfoQ Homepage Presentations
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Functional Async Without the Pain
Jim Powers presents ways to use functional programming techniques and the new Async framework for Scala to regain compositionality while retaining the power of the model.
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The Cable Company Does Continuous [delivery] WHAT?
Joe Campbell and Wally Eggert discuss the tools and approaches used to introduce Continuous Delivery at CIM without having any major disruptions to their existing delivery flow.
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The Code that Isn't There
Scott Vokes presents some lesser-known data structures and shows how probability distributions and content-addressable storage can become tools to shape global system behavior.
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Screwing Up For Less
Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.
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The Assassin's Mindset: Identifying Assumptions to De-Risk Your Idea
Giff Constable shares 4 tactics for thinking holistically about an idea and clearly identifying, prioritizing and tackling assumptions.
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Similarity in Software Artifacts and Its Relation to Code Generation
Rainer Koschke discusses software cloning – reusing code through copy and paste.
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A Bright Future Full of Promise: Asynchronous Pipelines in Scala and Java
Heather Miller shows how to perform asynchronous programming in Scala and Java with composable pipelines using the Futures and Promises API.
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Introducing ClojureScript-in-ClojureScript
Joel Martin introduces cljs-in-cljs, a compiler for porting all of ClojureScript, including the Clojure top-half and other JVM specific code, to pure ClojureScript.
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Data Science of Love
Vaclav Petricek digs some of the romantic interactions nuggets hidden in eHarmony's large collection of human relationships.
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Leveraging Your Hadoop Cluster Better - Running Performant Code at Scale
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
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Rebuilding Your Engine at 200 Miles per Hour
Michael Brunton-Spall shares his experience re-architect The Guardian’ Content API from a system based on Solr to a message queue cloud service based upon Elastic Search, without any downtime.
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Scaling Reddit from 1 Million to 1 Billion–Pitfalls and Lessons
Jeremy Edberg shares some of the lessons learned scaling Reddit, advising on pitfalls to avoid.
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