Posts by Jeff

The Recurse Center with Nick Bergson-Shilcock

http://traffic.libsyn.com/sedaily/Recurse_edited_fixed.mp3Podcast: Play in new window | Download Learning to program is about self-driven exploration. Universities help guide you, coding boot camps provide a rigorous environment to work in, and online coding courses provide content for you to study. But none of this will turn you into a great programmer unless you have the drive to improve and the curiosity to explore.   The Recurse Center is a place where people

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Facebook Relationship Algorithms with Jon Kleinberg

http://traffic.libsyn.com/sedaily/Facebook_Relationships_Fixed_Edited.mp3Podcast: Play in new window | Download Facebook users provide lots of information about the structure of their relationship graph. Facebook uses that information to provide content and services that are expected to be important to users. If Facebook knows who the most important people in my life are, Facebook can use that knowledge to serve me content that is more relevant to me.   Jon Kleinberg studied Facebook network

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Drones with Buddy Michini

http://traffic.libsyn.com/sedaily/Drones_with_Airware_Edited.mp3Podcast: Play in new window | Download Drones will become a central part of our lives. Drones are delivering packages, surveying cell phone towers, providing wi-fi, or fertilizing crops. Drones are assisting humans in dangerous work, and serving as an entirely new computing platform, providing services that were previously nonexistent.   Airware is a company that is building a full-stack drone platform. In this episode, Buddy Michini takes us through

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Music Deep Learning with Feynman Liang

http://traffic.libsyn.com/sedaily/Bachbot_Edited.mp3Podcast: Play in new window | Download Machine learning can be used to generate music. In the case of Feynman Liang’s research project BachBot, the machine learning model is seeded with the music of famous composer Bach. The music that BachBot creates sounds remarkably similar to Bach, although it has been generated by an algorithm, not by a human.   BachBot is a research project on computational creativity. Feynman Liang

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Automated Content with Robbie Allen

http://traffic.libsyn.com/sedaily/wordsmith_edited.mp3Podcast: Play in new window | Download You have probably read a news article that was written by a machine. When earnings reports come out, or a series of sports events like the Olympics occurs, there are so many small stories that need to be written that a news organization like the Associated Press would have to use all of its resources to write enough content to cover it all.

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Haskell in Production with Carl Baatz

http://traffic.libsyn.com/sedaily/Haskell_in_Production_Edited.mp3Podcast: Play in new window | Download The Haskell programming language is often thought of as an academic tool, useful for teaching students about monads and functors, but not much else. But there are advantages to using Haskell as a production backend language.   Better is a company built with Haskell on the backend, and Carl Baatz wrote a blog post detailing his experiences using Haskell. He joins the show

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CoreOS with Brandon Philips

http://traffic.libsyn.com/sedaily/CoreOS_Edited_2.mp3Podcast: Play in new window | Download Google’s infrastructure has been the source inspiration for research papers, software projects, and entire companies. Google pioneered the idea that we care less about the individual machines we are running our applications on, and more about the applications themselves.   Containers are the abstraction we use to separate the concerns of the application from those of the underlying hardware. CoreOS is an operating system

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Artificial Intelligence with Oren Etzioni

http://traffic.libsyn.com/sedaily/AI_Research_Edited_2.mp3Podcast: Play in new window | Download Research in artificial intelligence takes place mostly at universities and large corporations, but both of these types of institutions have constraints that cause the research to proceed a certain way. In a university, basic research might be hindered by lack of funding. At a big corporation, the researcher might be encouraged to study a domain that is not squarely in the interest of

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Uber’s Ringpop with Jeff Wolski

http://traffic.libsyn.com/sedaily/Ringpop_edited.mp3Podcast: Play in new window | Download Uber has a software architecture with unique requirements. Uber does not have the firehose of user engagement data that Twitter or Facebook has, but each transaction on Uber is both high value and time-sensitive. Users are paying for transportation that they expect to be available and reasonably close by. When Uber’s system is trying to match a rider with a driver, availability is

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Kubernetes Migration with Sheriff Mohamed

http://traffic.libsyn.com/sedaily/sheriff_mohamed_fixed_edited.mp3Podcast: Play in new window | DownloadKubernetes is a cluster management tool open sourced by Google. On Software Engineering Daily, we’ve done numerous shows on how Kubernetes works in theory. Today’s episode is a case study in how to deploy Kubernetes to production at a company with existing infrastructure.   GolfNow is a fifteen year-old application written in C# .NET. It is a successful, growing business that is a division

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Distributed Tracing with Reshmi Krishna

http://traffic.libsyn.com/sedaily/distributed_tracing_edited_fixed.mp3Podcast: Play in new window | Download In a microservices architecture, a user request will often make its way through several different services before it returns a result to the end user. If a user experiences a failed request, the root cause could be in any of the services along that request path. Even more problematic is the challenge of debugging latency in this kind of request chain.   Reshmi

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Serverless Architecture with Mike Roberts

http://traffic.libsyn.com/sedaily/ServerlessArticle_Edited.mp3Podcast: Play in new window | Download “Serverless” usually refers to an architectural pattern where the server side logic is run in stateless compute containers that are event-triggered and ephemeral. Mike Roberts has written a series of articles about serverless computing, in which he discusses theories and patterns around serverless architecture. In this episode, Mike and I discuss how to reimagine our software architecture using functions-as-a-service. We go into the

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Akka Reactive Streams with Konrad Malawski

http://traffic.libsyn.com/sedaily/ReactiveStreams_edited_fixed.mp3Podcast: Play in new window | Download Akka is a toolkit for building concurrent, distributed, message-driven applications on the JVM. Akka provides an implementation of the actor model of concurrency, which simplifies concurrency by adding a lighter weight abstraction than threads and thread pools. Konrad Malawski joins the show today to discuss Akka and reactive streams. Reactive streams is an initiative to provide a standard for asynchronous stream processing. This

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Apache Beam with Frances Perry

http://traffic.libsyn.com/sedaily/Apache_Beam__Edited.mp3Podcast: Play in new window | Download Unbounded data streams create difficult challenges for our application architectures. The data never stops coming, and we are forced to assume that we will never know if or when we have seen all of our data. Some streaming systems give us the tools to deal partially with unbounded data streams, but we have to complement those streaming systems with batch processing, in a

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TensorFlow in Practice with Rajat Monga

http://traffic.libsyn.com/sedaily/TensorFlow_with_Rajat__Edited.mp3Podcast: Play in new window | Download TensorFlow is Google’s open source machine learning library. Rajat Monga is the engineering director for TensorFlow. In this episode, we cover how to use TensorFlow, including an example of how to build a machine learning model to identify whether a picture contains a cat or not. TensorFlow was built with the mission of simplifying the process of deploying a machine learning model from

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Data Validation with Dan Morris

http://traffic.libsyn.com/sedaily/datavalidation_edited_2.mp3Podcast: Play in new window | Download Data Validation is the process of ensuring that data is accurate. In many software domains, an application is pulling in large quantities of data from external sources. That data will eventually be exposed to users, and it needs to be correct. Radius Intelligence is a company that aggregates data on small businesses. In order to ensure that business addresses and phone numbers are

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Machine Learning for Sales with Per Harald Borgen

http://traffic.libsyn.com/sedaily/Xeneta.mp3Podcast: Play in new window | Download Machine learning has become simplified. Similar to how Ruby on Rails made web development approachable, scikit-learn takes away much of the frustrating aspects of machine learning, and lets the developer focus on building functionality with high-level APIs.   Per Harald Borgen is a developer at Xeneta. He started programming fairly recently, but has already built a machine learning application that cuts down on

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Flexport Engineering with Amos Elliston

http://traffic.libsyn.com/sedaily/Flexport_Edited.mp3Podcast: Play in new window | Download Flexport is a technology company that makes logistics, supply chain management, and freight forwarding software. Shipping freight across the world requires container ships, airplanes, trains, warehouses, and trucks. Flexport’s software integrates with many of these different shipping companies, and provides a dashboard for the end user to understand how their products are being shipped around the world. Amos Elliston is the CTO of

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Data Breaches with Troy Hunt

http://traffic.libsyn.com/sedaily/Troy_Hunt_Edited_2.mp3Podcast: Play in new window | Download When you hear about massive data breaches like the recent ones from LinkedIn, MySpace, or Ashley Madison, how can you find out whether your own data was compromised?   Troy Hunt created the website HaveIBeenPwned.com to answer this question. When a major data breach occurs, Troy acquires a copy of the stolen data and provides a safe way for individuals to check if

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unikernels and unik with Scott Weiss

http://traffic.libsyn.com/sedaily/unik_edited_fixed.mp3Podcast: Play in new window | Download The Linux kernel of many popular operating system distributions contains 200-500 million lines of code. The average user never touches many of the libraries that are contained in these operating system distributions. For example, if you spin up a virtual machine on a cloud service provider, the virtual machine will have a USB driver. This is wasted space, because you can’t even interact

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