Category Greatest Hits

The Gravity of Kubernetes

http://traffic.libsyn.com/sedaily/2018_01_13_GravityOfKubernetes.mp3Podcast: Play in new window | Download Kubernetes has become the standard way of deploying new distributed applications. Most new internet businesses started in the foreseeable future will leverage Kubernetes (whether they realize it or not). Many old applications are migrating to Kubernetes too. Before Kubernetes, there was no standardization around a specific distributed systems platform. Just like Linux became the standard server-side operating system for a single node, Kubernetes

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Dwarf Fortress with Tarn Adams Holiday Repeat

http://traffic.libsyn.com/sedaily/dwarffortress_ad_free.mp3Podcast: Play in new window | DownloadOriginally published October 22, 2015 “The official motto that we have in our help manual is ‘Losing is fun!’ ” Dwarf Fortress is a construction and management simulation computer game set in a procedurally generated fantasy world in which the player indirectly controls a group of dwarves, and attempts to construct a successful underground fortress. Tarn Adams works on Dwarf Fortress with his brother Zach.

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Language Design with Brian Kernighan Holiday Repeat

http://traffic.libsyn.com/sedaily/kernighan_ad_free.mp3Podcast: Play in new window | DownloadOriginally published January 6, 2016 “The best computer science is the kind where the theory is inspired by some practical problem, you develop a better theoretical understanding of what you want to do, and that feeds back into better practice.” Brian Kernighan is a professor of computer science at Princeton University and the author of several books, including The Go Programming Language and The

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Software and Entrepreneurship with Seth Godin Holiday Repeat

http://traffic.libsyn.com/sedaily/sethgodin_ad_free.mp3Podcast: Play in new window | DownloadOriginally published November 18, 2015 “The playing field has never ever been more leveled – that means everything you don’t build is your choice not to build it.” Seth Godin is a writer, speaker, and entrepreneur. He is the author of many books, including most recently, What To Do When It’s Your Turn. Questions How did your atypical computer science education shape you? What were

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Knowledge-Based Programming with Stephen Wolfram Holiday Repeat

http://traffic.libsyn.com/sedaily/wolfram_ad_free.mp3Podcast: Play in new window | DownloadOriginally published November 10, 2015 “The cloud as an environment – I had thought it was a purely utilitarian kind of thing. What I realized is that it’s a fascinating centralized repository of computation.” Wolfram Research makes computing software powered by the Wolfram language, a knowledge-based programming language that draws from symbolic and functional programming paradigms. Stephen Wolfram is the Founder and CEO of

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Machine Learning and Technical Debt with D. Sculley Holiday Repeat

http://traffic.libsyn.com/sedaily/ml_techdebt_ad_free.mp3Podcast: Play in new window | DownloadOriginally published November 17, 2015 “Changing anything changes everything.” Technical debt, referring to the compounding cost of changes to software architecture, can be especially challenging in machine learning systems. D. Sculley is a software engineer at Google, focusing on machine learning, data mining, and information retrieval. He recently co-authored the paper Machine Learning: The High Interest Credit Card of Technical Debt. Questions How do

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Run Less Software with Rich Archbold

http://traffic.libsyn.com/sedaily/IntercomEngineering.mp3Podcast: Play in new window | Download There is a quote from Jeff Bezos: “70% of the work of building a business today is undifferentiated heavy lifting. Only 30% is creative work. Things will be more exciting when those numbers are inverted.” That quote is from 2006, before Amazon Web Services had built most of their managed services. In 2006, you had no choice but to manage your own database,

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Training the Machines with Russell Smith

http://traffic.libsyn.com/sedaily/RainforestQA.mp3Podcast: Play in new window | Download Automation is changing the labor market. To automate a task, someone needs to put in the work to describe the task correctly to a computer. For some tasks, the reward for automating a task is tremendous–for example, putting together mobile phones. In China, companies like FOXCONN are investing time and money into programming the instructions for how to assemble your phone. Robots execute

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High Volume Event Processing with John-Daniel Trask

http://traffic.libsyn.com/sedaily/HighVolumeEventProcessing.mp3Podcast: Play in new window | Download A popular software application serves billions of user requests. These requests could be for many different things. These requests need to be routed to the correct destination, load balanced across different instances of a service, and queued for processing. Processing a request might require generating a detailed response to the user, or making a write to a database, or the creation of a

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Fiverr Engineering with Gil Sheinfeld

http://traffic.libsyn.com/sedaily/FiverrEngineering.mp3Podcast: Play in new window | Download As the gig economy grows, that growth necessitates innovations in the online infrastructure powering these new labor markets. In our previous episodes about Uber, we explored the systems that balance server load and gather geospacial data. In our coverage of Lyft, we studied Envoy, the service proxy that standardizes communications and load balancing among services. In shows about Airbnb, we talked about the

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Legal Technology with Justin Kan

http://traffic.libsyn.com/sedaily/LegalTechnology.mp3Podcast: Play in new window | Download Imagine that you are a lawyer. Your work involves managing files with dense, technical text. Your co-workers collaborate with you to accomplish a complex goal that can be broken down into smaller pieces. Your work has formal specifications, but there are degrees of freedom in how you express an idea. In all of these ways, the job of a lawyer is similar to

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Early Investments with Semil Shah

http://traffic.libsyn.com/sedaily/SemilShah.mp3Podcast: Play in new window | Download An engineer who wants to start a business using investment capital needs to understand the expectations of investors. The market for the business needs to be huge. The team needs to have a differentiated understanding of the market, or a differentiated product. The CEO needs to have the determination to continue operating the company even when it gets very difficult. And the price

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Netflix Serverless-like Platform with Vasanth Asokan

http://traffic.libsyn.com/sedaily/NetflixServerless.mp3Podcast: Play in new window | Download The Netflix API is accessed by developers who build for over 1000 device types: TVs, smartphontes, VR headsets, laptops. If it has a screen, it can probably run Netflix. On each of these different devices, the Netflix experience is different. Different screen sizes mean there is variable space to display the content. When you open up Netflix, you want to efficiently browse through

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Parlaying Failure to Fortune with Paul Martino

http://traffic.libsyn.com/sedaily/PaulMartino.mp3Podcast: Play in new window | Download In 2003, Paul Martino co-founded Tribe.net, one of the earliest social networking sites.  Tribe had significant traction, with hundreds of thousands of users. In the early 2000s, hundreds of thousands of users was enough traffic to pose a company with engineering challenges. Paul had studied computer science, and was able to use his knowledge of high-performance computing to write an efficient graph database,

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Bad Men with Bob Hoffman

http://traffic.libsyn.com/sedaily/BadMen.mp3Podcast: Play in new window | Download In the 1960s, advertising agencies were high-dollar creative producers. A client would come to an ad agency and pay millions of dollars for artistic messaging that would convince a consumer to buy a product. How could you measure the success of these advertising campaigns? Maybe you could see success in the sales data. Maybe people were starting to talk about the product. Ultimately,

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Analyse Asia with Bernard Leong

http://traffic.libsyn.com/sedaily/AnalyseAsia.mp3Podcast: Play in new window | Download In America, the tech companies we focus on are commonly known as FAANG: Facebook, Amazon, Apple, Netflix, Google. We all know what these companies do because they impact our daily lives. In Asia, there are three giant tech companies that have similar scale: Baidu, Alibaba, and Tencent, otherwise known as BAT. Technology within a location is shaped by the pressures of that location.

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Word2Vec with Adrian Colyer

http://traffic.libsyn.com/sedaily/Word2vecAdrianColyer.mp3Podcast: Play in new window | Download Machines understand the world through mathematical representations. In order to train a machine learning model, we need to describe everything in terms of numbers.  Images, words, and sounds are too abstract for a computer. But a series of numbers is a representation that we can all agree on, whether we are a computer or a human. In recent shows, we have explored how

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Serverless Startup with Yan Cui

http://traffic.libsyn.com/sedaily/ServerlessBurningMonk.mp3Podcast: Play in new window | Download After raising $18 million, social networking startup Yubl made a series of costly mistakes. Yubl hired an army of expensive contractors to build out its iOS and Android apps. Drama at the executive level hurt morale for the full-time employees. Most problematic, the company was bleeding cash due to a massive over-investment in cloud services. This was the environment in which Yan Cui

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Quantum Computing with Vijay Pande

http://traffic.libsyn.com/sedaily/VijayPandeQuantum.mp3Podcast: Play in new window | Download Quantum computing is based on the system of quantum mechanics. In quantum computing, we perform operations over qubits instead of bits. A qubit is a vector, which can take on many more values than 0 or 1. The technology used to implement quantum computers is advancing such that it has its own Moore’s Law, but it can also leverage the classical advancements of

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Self-Driving Deep Learning with Lex Fridman

http://traffic.libsyn.com/sedaily/SelfDrivingDeepLearning.mp3Podcast: Play in new window | Download Self-driving cars are here. Fully autonomous systems like Waymo are being piloted in less complex circumstances. Human-in-the-loop systems like Tesla Autopilot navigate drivers when it is safe to do so, and lets the human take control in ambiguous circumstances. Computers are great at memorization, but not yet great at reasoning. We cannot enumerate to a computer every single circumstance that a car might

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