Category Greatest Hits

ShapeShift with Erik Voorhees

http://traffic.libsyn.com/sedaily/2018_03_30_ShapeshiftErikVoorhees.mp3Podcast: Play in new window | Download “The Federal Reserve System is fraudulent. Whatever its stated purpose, its effective purpose is to create a mechanism of deficit spending by politicians, through the insidious invisible taxation of monetary debasement (aka inflation).” These are the words of Erik Voorhees, the CEO of crypto financial exchange ShapeShift. Long before he started ShapeShift, Erik was opposed to some of the core principles of the

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Crypto Pump and Dumps with Bruno Skvorc

http://traffic.libsyn.com/sedaily/2018_03_16_PumpandDumpswithBruno.mp3Podcast: Play in new window | Download Cryptocurrency speculation has pulled in a large population of people who do not know what they are investing in. If you hear about an investment of $1000 turning into $1M, it’s tempting to get sucked in yourself. For most of these everyday people, the game is completely rigged. A large percentage of market activity is driven by “pump and dumps.” A pump and

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Bitcoin’s Future with Joseph Bonneau

http://traffic.libsyn.com/sedaily/2018_03_06_BitcoinsFuture.mp3Podcast: Play in new window | Download Joseph Bonneau is co-author of Bitcoin and Cryptocurrency Technologies, a popular textbook. At NYU, he works as an assistant professor exploring cryptography and security. His YouTube lessons teaching Bitcoin have hundreds of thousands of views. His material offers clear explanations of how Bitcoin works. Since Joseph has a clear understanding of the objective facts around Bitcoin, he is the perfect person to ask

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Dogecoin with Jackson Palmer

http://traffic.libsyn.com/sedaily/2018_03_02_DogecoinJacksonPalmer.mp3Podcast: Play in new window | Download Dogecoin was started in 2013 as a joke. Jackson Palmer forked Bitcoin and created his cryptocurrency as a play off the “doge” meme. The currency became popular as a means of reddit users “tipping” each other. If I made a comment on reddit that you liked, you might send me some Dogecoin. This use case allowed people to share the idea of Dogecoin

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Spark and Streaming with Matei Zaharia

http://traffic.libsyn.com/sedaily/2018_02_26_SparkDelta.mp3Podcast: Play in new window | Download Apache Spark is a system for processing large data sets in parallel. The core abstraction of Spark is the resilient distributed dataset (RDD), a working set of data that sits in memory for fast, iterative processing. Matei Zaharia created Spark with two goals: to provide a composable, high-level set of APIs for performing distributed processing; and to provide a unified engine for running

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Scaling Box with Jeff Quiesser

http://traffic.libsyn.com/sedaily/2018_02_12_BoxEngineering.mp3Podcast: Play in new window | Download When Box started in 2006, the small engineering team had a lot to learn. Box was one of the earliest cloud storage companies, with a product that allowed companies to securely upload files to remote storage. This was two years before Amazon Web Services introduced on-demand infrastructure, so the Box team managed their own servers, which they learned how to do as they

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Tether, Ripple, and Blockchain Reporting with Matt Leising

http://traffic.libsyn.com/sedaily/2018_02_07_MattLeising.mp3Podcast: Play in new window | Download Your friends from college are asking you how to buy Bitcoin. Your mom is emailing you articles about the benefits of decentralized peer-to-peer networks. Your shoe shiner is telling you to buy XRP. It is 2018, and cryptocurrencies have become a daily part of news headlines. The general public may not understand how this technology works, but everyone knows that changes are on

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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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Kubernetes Vision with Brendan Burns

http://traffic.libsyn.com/sedaily/BrendanBurns.mp3Podcast: Play in new window | Download Kubernetes has become the standard system for deploying and managing clusters of containers. But the vision of the project goes beyond managing containers. The long-term goal is to democratize the ability to build distributed systems. Brendan Burns is a co-founder of the Kubernetes project. He recently announced an open source project called Metaparticle, a standard library for cloud-native development: Metaparticle builds on top

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High Volume Distributed Tracing with Ben Sigelman

http://traffic.libsyn.com/sedaily/DistributedTracing.mp3Podcast: Play in new window | Download You are requesting a car from a ridesharing service such as Lyft. Your request hits the Lyft servers and begins trying to get you a car. It takes your geolocation, and passes the geolocation to a service that finds cars that are nearby, and puts all those cars into a list. The list of nearby cars is sent to another service, which sorts

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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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