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Listened to The End of Cloud Computing with Peter Levine
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Cloud computing has pushed computation away from our own private servers and into virtual machines running on a data center. In the world of cloud computing, processing is centralized in these data centers, and our smartphone and laptop application performance suffers from having high latency between the client and the cloud server. As machine learning

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Listened to LLVM with Morgan Wilde
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Every program gets compiled down to 1s and 0s before it can be executed against hardware. Before being translated to machine code, programs that are written in a language like Rust, Swift, or Java spend time in an intermediate representation. In Java, this intermediate representation is Java bytecode. Many different languages–such as Scala–translate to Java

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Listened to Podcast Infrastructure with Mikael Emtinger
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The technology underlying podcasts is simple–a podcaster publishes mp3 files to an RSS feed, and the listener subscribes to that feed, receiving mp3s whenever the feed is updated. Unfortunately, the simplicity of podcasts makes it difficult to build automated advertising infrastructure on top of that simple RSS model. This lack of rich automated advertising has

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Listened to Governing Open Source Usage with Brian Fox by Brian R. Jackson, Brian Demers 
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Brian Fox, CTO at Sonatype joins us to discuss how to secure and govern open source usage in your company; In the News: Evernote migrates to Google Cloud; Java 9's Jigsaw Auto Modules are a step down with designing dependency management properly; ThoughtWorks shuts down SnapCI

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Listened to Meetup Architecture with Yvette Pasqua
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Meetup is an online service that allows people to gather into groups and meet in person. Since 2002, the company has been growing and its technology stack has been changing. Today, they are in the process of migrating to the cloud, using both Amazon Web Services and Google Compute Platform. Yvette Pasqua is the CTO

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Listened to Exploring Code Smells in code written by Children with Dr. Felienne by Scott Hanselman 
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Felienne is always learning. In exploring her PhD dissertation and her public speaking experience it's clear that she has no intent on stopping! Most recently she's been exploring a large corpus of Scratch programs looking for Code Smells. How do children learn how to code, and when they do, does their code "smell?" Is there something we can do when teaching to promote cleaner, more maintainable code?