NewsTech News

Software Engineering Daily

softwareengineeringdaily.com

Software Daily: The world through the lens of software.

Play

Open in

2,221 episodes
Avg 53 min
English

Episodes 2,221

Newest Oldest Longest

All20 Unplayed20 In progress0 Played0

Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.

#654
Oct 24, 2017 · 53 min
Keybase with Max Krohn
Public key encryption allows for encrypted, private messages. A message sent from Bob to Alice gets encrypted using Alice’s public key. Public key encryption also allows for signed messages–so that when Alice signs a message, Alice uses her private key and Bob can verify it if Bob has her public key. In both cases, Bob needs Alice’s public key! If Bob gets that public key from an email message, Bob is trusting that the email message is secure–and if Bob can’t ever verify that first message containing the key, he has no way to verify the messages that come after it. This is the problem of key distribution. Key distribution undermines the usability of PGP encryption. Serious encryption advocates will sometimes meet in person to exchange pieces of paper containing public keys. Keybase is a company that attempts to solve the problem of key distribution by having users connect social media accounts and devices to Keybase, in order to collectively verify who you are, and then give you the power to share your public key. Max Krohn is a founder of Keybase, and was previously a founder of SparkNotes and OKCupid. Max was on the show a few years ago to discuss the basics of Keybase, and in this episode he explores some of the abstractions that Keybase has built on top of its core identity tool–Keybase File System, Keybase Teams, and Keybase Git. We do break down the basics of Keybase, but if you want a more thorough explanation, you might like to check out that older episode, you can download the Software Engineering Daily app on iOS or Android to find all of our old episodes.
#653
Oct 23, 2017 · 57 min
Quantum Computing Introduction with Zlatko Minev
Computer chips have physical limitations. When transistors get too small, electrons start to behave in ways that make the hardware modules less reliable. Our reliable technological progress has been enabled by Moore’s Law: the idea that the number of components we can fit on a chip doubles roughly every 12-18 months. We can’t keep shrinking the size of these components, because physics is no longer complying. Quantum computing allows us to operate on qubits rather than bits, giving us better parallelism and continued reliable technological progress. Quantum computing is still mostly an area of research rather than production systems–but it is rapidly approaching usability, and Zlatko Minev joins the show to explain how quantum computing works, and why software engineers should care. Zlatko is a PhD candidate at the Yale Quantum Information Lab. Today he describes how qubits work, which algorithms quantum computing impacts, and which parts of modern computer architecture will work on a quantum computer. We may have to throw out the Von Neumann architecture when it comes to quantum! Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#652
Oct 20, 2017 · 1 hr 3 min
Smart Contract Security with Emin Gün Sirer
A smart contract is a program that allows for financial transactions. Smart contracts are usually associated with the Ethereum platform, which has a language called Solidity that makes it easy to program smart contracts. Someday, we will have smart contracts issuing insurance, processing legal claims, and executing accounting transactions. Smart contracts involve money, and they are likely to transact with cryptocurrencies. That makes them ripe targets for attackers. What are the vulnerabilities of smart contracts? What can we do to ensure the safety of a high throughput, automated financial system? In today’s episode, Haseeb Qureshi talks to Emin Gün Sirer, a professor at Cornell University where he is co-director of the Initiative for Cryptocurrencies and Contracts. They discuss how smart contracts work and how to secure them. Haseeb and Emin are both working full-time on cryptocurrencies, which makes for a detailed technical discussion. In our previous episode about the DAO hack, Emin Gün Sirer was one of the protagonists of the story. You can find that episode as well as all of our old episodes by downloading the Software Engineering Daily app for iOS and for Android. We also have several other episodes with Haseeb. Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#651
Oct 19, 2017 · 51 min
Interviewing.io with Aline Lerner
Interviewing engineers is not a solved problem. Quite the opposite–everyone in the software industry will tell you their own personal issues with the hiring process. One reason that technical interviews have not evolved significantly is the lack of standardized tooling. Some companies give you one phone screen, some give you two. Some companies have you solve brain teasers (“how many golf balls fit in a school bus”) and some make you fix bugs in their production codebase. During the on-site interview, some companies use whiteboards, some let you use a laptop. Software companies do so much–they should be outsourcing the things that are not their core competency. Certainly they cannot outsource the entire hiring process–but they can outsource parts of it to a company like Interviewing.io. Engineers come to Interviewing.io to practice their interview skills, where other engineers from top companies practice with them as an interviewer. When an engineer has practiced interviewing enough, they can use Interviewing.io to interview for real with real companies and find a job. Aline Lerner is the CEO of Interviewing.io, and she knows about the software interviewing and recruiting process as much as anyone. After working as an engineer, she started studying recruiting, consulting with top companies to help them improve their process. From her observations, she created Interviewing.io. In this episode, we dissect the workflow that she created for engineers to improve at interviewing and find jobs, and also explore the insights that led her to starting Interviewing.io. Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#650
Oct 18, 2017 · 43 min
Model Training with Yufeng Guo
Machine learning models can be built by plotting points in space and optimizing a function based off of those points. For example, I can plot every person in the United States in a 3 dimensional space: age, geographic location, and yearly salary. Then I can draw a function that minimizes the distance between my function and each of those data points. Once I define that function, you can give me your age and a geographic location, and I can predict your salary. Plotting these points in space is called embedding. By embedding a rich data set, and then experimenting with different functions, we can build a model that makes predictions based on those data sets. Yufeng Guo is a developer advocate at Google working on CloudML. In this show, we described two separate examples for preparing data, embedding the data points, and iterating on the function in order to train the model. In a future episode, Yufeng will discuss CloudML and more advanced concepts of machine learning. Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#649
Oct 17, 2017 · 55 min
Internet Monitoring with Matt Kraning
How would you build a system for indexing and monitoring the entire Internet? Start by breaking the Internet up into IP address ranges. Give each of those address ranges to servers distributed around the world. On each of those servers, iterate through your list of IP addresses, sending packets to them. Depending on what sorts of packets those IP addresses respond to, and what those responses are, you can build a map of the devices on the Internet: what is running on those devices, and what they respond to. Qadium is a company that indexes and monitors devices on the Internet, to help organizations understand the devices that are within corporate networks. If you are a large corporation, Qadium can probably do a better job of figuring out your Internet footprint than you can. Matt Kraning is the CTO of Qadium, and in today’s show he describes the process by which Qadium maps the Internet. Matt used to work on data infrastructure at DARPA, and has deployed Hadoop in Afghanistan–so the infrastructure of Qadium seems relatively manageable. Our data conversations in this episode spam from talking about Storm and Hadoop to Google BigQuery, BigTable, and DataFlow. Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#648
Oct 16, 2017 · 52 min
Scala Native with Denys Shabalin
Scala is a functional and object oriented programming language built on the JVM. Scala Native takes this language, loved by many, and brings it to bare metal. Scala Native is an optimizing ahead-of-time compiler and lightweight managed runtime designed specifically for Scala. Denys Shabalin (dennis shuh-blin) is a Research Assistant at the EPFL and the primary creator of Scala Native. In this episode, Adam Bell interviews Denys about the motivations behind the Scala Native project, how it was implemented and future directions. He also briefly touches on how Scala Native made cold compilation times of Scala code twice as fast. If you are interested in functional programming, compiler design, or want to learn some interesting tidbits about garbage collector design and trade offs you will like this episode. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! We are building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend–and more projects are coming soon. If you have ideas for how software engineering media content should be consumed, or if you are interested in contributing code, check out github.com/softwareengineeringdaily, or join our Slack channel (there’s a link on our website)–or send me an email: jeff@softwareengineeringdaily.com Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#647
Oct 13, 2017 · 50 min
Gigster with Roger Dickey
You have heard the phrase: every company is becoming a software company. An insurance company is now supposed to turn into a software company that sells insurance. A clothing retailer needs to reinvent itself to be able to build software to manage the production and distribution of its clothing. Software applications provide so much leverage to an organization, it seems smart to develop in-house software teams to build those applications. But does it really make sense? Is there a better alternative? In the 90s outsourcing was a common solution to this problem. If you didn’t have software expertise at your company, you would hire a large consulting firm. These firms would often hire inexperienced offshore developers, and the resulting code quality was not so great. Because of the bad experiences of the first Internet boom, companies became more cautious about outsourcing their engineering work–which led to today, where the standard is to hire your own software team. The world has changed in ways that have made outsourcing a more viable solution. Programming best practices are more widely understood. There is an international community of software engineers that share information on places like Stack Overflow, Quora, and Twitter. Off-the-shelf collaboration tools make it much easier to communicate the requirements of a project to a team of developers. Gigster is a company that is working to optimize the engineering of software projects. Large enterprises come to Gigster to build new projects from scratch–whether that project is a marketplace, a mobile application, or a machine learning model. Roger Dickey is the CEO of Gigster, and he joins the show to describe how Gigster works, and why it often makes sense for companies to focus on their core competency and outsource software engineering. Some of our most popular episodes of Software Engineering Daily describe how leading software companies are being built–we have covered Giphy, Netflix, Digital Ocean, Stripe, and many others. Download the Software Engineering Daily app for iOS or Android to hear all of our old episodes. They are easily organized by category, and as you listen, the SE Daily app gets smarter, and recommends you content based on the episodes you are hearing. If you don’t like this episode, you can easily find something more interesting by using the recommendation system. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! We are building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend–and more projects are coming soon. If you have ideas for how software engineering media content should be consumed, or if you are interested in contributing code, check out github.com/softwareengineeringdaily, or join our Slack channel (there’s a link on our website)–or send me an email: jeff@softwareengineeringdaily.com Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#646
Oct 12, 2017 · 59 min
Blockchain Building with Daniel van Flymen
A blockchain is a data structure that provides decentralized, peer-to-peer data distribution. Bitcoin is the most well-known blockchain, but in the next decade we will see many more blockchains. Most listeners probably know that you could just fork the code of Bitcoin to start your own blockchain–but wouldn’t it be nice to know how to build a blockchain from scratch? Daniel van Flymen is the author of the Medium article Learn Blockchains by Building One. In his post, he walks you through how to write the code for a blockchain–just like any other web app. He starts with raw Python code, defines the data structures, and stands up his simple blockchain app on a web server to give a toy example for how nodes in a blockchain communicate. For me, this was a great article to read. I have reported on blockchains for over a year, but had not seen such a clear example with executable, simplified code. Stay tuned at the end of the episode for Jeff Meyerson’s tip about making the most of a new job: brought to you by Indeed Prime. To find all of our coverage of cryptocurrencies, download the Software Engineering Daily app for iOS or Android to hear all of our old episodes. They are easily organized by category, and as you listen, the SE Daily app gets smarter, and recommends you content based on the episodes you are hearing. If you don’t like this episode, you can easily find something more interesting by using the recommendation system. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! We are building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend–and more projects are coming soon. If you have ideas for how software engineering media content should be consumed, or if you are interested in contributing code, check out github.com/softwareengineeringdaily, or join our Slack channel (there’s a link on our website)–or send me an email: jeff@softwareengineeringdaily.com Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#645
Oct 11, 2017 · 53 min
Ethereum Platform with Preethi Kasireddy
Ethereum is a decentralized transaction-based state machine. Ethereum was designed to make smart contracts more usable for developers. Smart contracts are decentralized programs that usually allow for some a transaction between the owner of the contract and anyone who would want to purchase something from the contract owner. For example, I could set up a smart contract where a listener sends my smart contract some ether and I send the listener a podcast episode automatically. Smart contracts can also interact with each other, to network together complex transactions. In the same way that web development has been made easier by PaaS and SaaS, smart contracts will make building financial systems simple. Preethi Kasireddy is a blockchain developer who writes extensively about cryptocurrencies. She joins the show to describe how the Ethereum platform works, including the steps involved in a smart contract transaction. This episode covers some advanced topics of Ethereum, and if you are out of your comfort zone, don’t worry–you aren’t alone. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! We are building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend–and more projects are coming soon. If you have ideas for how software engineering media content should be consumed, or if you are interested in contributing code, check out github.com/softwareengineeringdaily, or join our Slack channel (there’s a link on our website)–or send me an email: jeff@softwareengineeringdaily.com Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#644
Oct 10, 2017 · 54 min
Bitcoin Segwit with Jordan Clifford
Visa processes 1,600 transactions per second. PayPal processes 193 transactions per second. Bitcoin processes only 3-4 transactions per second. In order to fulfill the dreams of financial programming–in order to get decentralized, peer-to-peer micropayments–Bitcoin needs a much higher transaction throughput. Bitcoin’s scalability issues have led to debates within the community and changes in the software. In this episode, Jordan Clifford gives an overview of some of the scaling limitations of Bitcoin, and discusses SegWit, a change to the Bitcoin protocol that improves scalability. Jordan was previously on the show to discuss the basics of Ethereum and Bitcoin. This episode covers some advanced topics of Bitcoin, and if you are out of your comfort zone, don’t worry–you aren’t alone. Stay tuned at the end of the episode for Jeff Meyerson’s tip about assessing cultural fit at a company: brought to you by Indeed Prime. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! We are building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend–and more projects are coming soon. If you have ideas for how software engineering media content should be consumed, or if you are interested in contributing code, check out github.com/softwareengineeringdaily, or join our Slack channel (there’s a link on our website)–or send me an email: jeff@softwareengineeringdaily.com Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.
#643
Oct 9, 2017 · 53 min
Tinder Engineering Management with Bryan Li
Tinder is a rapidly growing social network for meeting people and dating. In the past few years, Tinder’s userbase has grown rapidly, and the engineering team has scaled to meet the demands of increased popularity. On Tinder, you are presented with a queue of suggested people that you might match with, and you swipe left or right to indicate that you like or dislike them. Creating that queue of suggestions is a complex engineering problem. Many factors go into the suggestions that Tinder gives you: geotargeting, food preferences, your favorite band, your photos, and the people you have swiped on in the past. Bryan Li is an engineering manager at Tinder, and he joins the show to describe the interaction between the mobile client, backend servers, and the offline analytics and machine learning. We also talk about managing different teams and how to reorganize smoothly as a company grows. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! The Software Engineering Daily open source community is building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend. If you are interested in contributing, check out github.com/softwareengineeringdaily–or send me an email: jeff@softwareengineeringdaily.com
#642
Oct 6, 2017 · 1 hr
Advertiser Trust with Marc Goldberg
Despite all the problems with online advertising, ads are not going away. Advertising is fundamental to the modern Internet economy. In previous episodes of Software Engineering Daily, we have mostly dissected the problems of adtech–bots, tracking, fraud, brand safety. We have talked about some solutions–for example, JavaScript tags that you can put on a page to identify a bot before you serve it an ad. But these solutions don’t get the job done completely, because it isn’t possible to reliably identify bots. Today we explore another solution for adtech: the whitelist. Marc Goldberg is the CEO of Trust Metrics, a company that provides whitelisting for advertisers. A whitelist is a list of domains that are acceptable to run your advertisements on. In order to build a whitelist, you need to review thousands of sites to judge which ones are reasonable places to publish an advertisement. Marc joins the show to describe how to build and scale a system for reviewing websites and judging whether they are safe to run ads against. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! The Software Engineering Daily open source community is building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend. If you are interested in contributing, check out github.com/softwareengineeringdaily–or send me an email: jeff@softwareengineeringdaily.com
#641
Oct 5, 2017 · 56 min
Ad Fraud Science with Augustine Fou
Advertising fraud continues to plague the Internet. We do not know the scope and scale of that fraud. How many ads on the Internet are viewed by bots? Estimations range from 2% to 99%. Advertisers are slowly becoming more educated about fraud, thanks in part to Dr. Augustine Fou. Dr. Fou is a full-time advertising fraud researcher. He looks at data sets of billions of ad impressions to figure out how fraud works and help victims of ad fraud make their case. Last year, Dr. Fou came on the show to give an overview of his perspective on the world of ad fraud. Today, we dive into the importance of Twitter in ad fraud schemes. We also talk about the severity of fraud on mobile apps. If you downloaded a flashlight app, or an alarm clock app, or a keyboard, that app could be displaying hidden ads that never actually show up. Stay tuned at the end of the episode for Jeff Meyerson’s tip about getting into a new job: brought to you by Indeed Prime. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! The Software Engineering Daily open source community is building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend. If you are interested in contributing, check out github.com/softwareengineeringdaily–or send me an email: jeff@softwareengineeringdaily.com
#640
Oct 4, 2017 · 50 min
User Management with Michel Feaster
A customer engages with a company across a variety of channels–email, Zendesk, Salesforce, online advertising. Unifying those data sources and getting a dashboard into the entire customer experience is the goal of Usermind, a customer engagement hub. If you can get all of that data unified in one place, it creates a tool that salespeople, customer service, and marketing can all look at to see how users are engaging with a company. Michel Feaster is the CEO of Usermind, and she joins the show to describe how Usermind works and the engineering behind the product. To connect all the different APIs from all those other companies makes this a complicated integration problem, and hearing the Usermind strategy for managing integrations will be useful to anyone listening who is building a product with lots of external API integrations. Stay tuned at the end of the episode for Jeff Meyerson’s tip about launching a side business: brought to you by Indeed Prime. If you like listening to this podcast, download the Software Engineering Daily app for iOS and Android to hear all of our old episodes, and easily discover new topics that might interest you. You can upvote the episodes you like and get recommendations based on your listening history. With 600 episodes, it is hard to find the episodes that appeal to you, and we hope the app helps with that. If you don’t like this episode, you can easily find something more interesting by looking at the recommendations in the app. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! The Software Engineering Daily open source community is building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend. If you are interested in contributing, check out github.com/softwareengineeringdaily–or send me an email: jeff@softwareengineeringdaily.com
#639
Oct 3, 2017 · 44 min
42 Coding School with Brittany Bir
42 is tuition-free developer school for students from 18-30. It was started by Xavier Niel, a French billionaire who wanted to encourage a new model of software education. 42 has campuses in France and Silicon Valley. 42 has very high standards for the students it admits, because the students that get in are not paying tuition, but they have 24/7 access to high quality computers and a beautiful campus. Unlike coding bootcamps, 42 lasts 3-5 years. Students who graduate are equipped with both computer science theory and the practical ability to see projects through on their own. Brittany Bir is the chief operating officer of 42 Coding School in Silicon Valley. She joins the show to talk about how 42 works and the future of programming education. At 42, the focus is on peer-to-peer learning. Students complete projects of their own choosing, and are also required to take on internships and get real world work experience. Stay tuned at the end of the episode for Jeff Meyerson’s tip about building your brand brought to you by Indeed Prime. If you like listening to this podcast, download the Software Engineering Daily app for iOS and Android to hear all of our old episodes, and easily discover new topics that might interest you. You can upvote the episodes you like and get recommendations based on your listening history. With 600 episodes, it is hard to find the episodes that appeal to you, and we hope the app helps with that. If you don’t like this episode, you can easily find something more interesting by looking at the recommendations in the app. The mobile apps are open sourced at github.com/softwareengineeringdaily. If you are looking for an open source project to hack on, we would love to get your help! The Software Engineering Daily open source community is building a new way to consume software engineering content. We have the Android app, the iOS app, a recommendation system, and a web frontend. If you are interested in contributing, check out github.com/softwareengineeringdaily–or send me an email: jeff@softwareengineeringdaily.com
#638
Oct 2, 2017 · 1 hr
ReactVR with Andrew Imm
React is a programming model for user interfaces. ReactJS is for building user interfaces for web applications. React Native is for building UI on Android or iOS. ReactVR is for building user interfaces in virtual reality. React Native was originally developed to make it easier to maintain parity between the web, iOS, and Android teams at Facebook. If I build an application for the web with ReactJS, I can rewrite that application for React Native on iOS or Android and reuse some of my code from the web application. It is not a 1-click level of portability between platforms, but it helps share user interface components between different platforms. ReactVR brings React development to virtual reality. Andrew Imm is a ReactVR developer at Facebook, and he joins the show to discuss how ReactVR works. We talk about the support for VR in the browser: WebGL, WebVR, and ThreeJS. We also explore some of the key React components that you might use to build an interface in ReactVR, and we wrap up the show by exploring VR more broadly–how consumers use VR today and how they might use it in the near future. The iOS app is the first project to come out of the Software Engineering Daily Open Source Project. There are more projects on the way, and we are looking for contributors–if you want to help build a better SE Daily experience, check out github.com/softwareengineeringdaily. We are working on an Android app, the iOS app, a recommendation system, and a web frontend. Help us build a new way to consume software engineering content at github.com/softwareengineeringdaily.
#637
Sep 29, 2017 · 53 min
Sports Deep Learning with Yu-Han Chang and Jeff Su
A basketball game gives off endless amounts of data. Cameras from all angles capture the players making their way around the court, dribbling, passing, and shooting. With computer vision, a computer can build a well-defined understanding for what a sport looks like. With other machine learning techniques, the computer can make predictions by combining historical data with a game that is going on right now. Second Spectrum is a company that builds products for analyzing sports. At major basketball arenas, Second Spectrum cameras sit above the court, recording the game and feeding that information to the cloud. Second Spectrum’s servers crunch on the raw data, processing it through computer vision and putting it into deep learning models. The output can be utilized by teams, coaches, and fans. Yu-Han Chang and Jeff Su are co-founders of Second Spectrum. They join the show to describe the data pipeline of Second Spectrum from the cameras on the basketball court to the entertaining visualizations. After talking to them, I am convinced that machine learning will completely change how sports are played–and will probably open up a platform for new sports to be invented. The iOS app is the first project to come out of the Software Engineering Daily Open Source Project. There are more projects on the way, and we are looking for contributors–if you want to help build a better SE Daily experience, check out github.com/softwareengineeringdaily. We are working on an Android app, the iOS app, a recommendation system, and a web frontend. Help us build a new way to consume software engineering content at github.com/softwareengineeringdaily.
#636
Sep 28, 2017 · 53 min
Alerting and Metrics with Clement Pang
An alert is a signal of problematic application behavior. When something unusual happens to your application, an alert can bring that anomaly to your attention. In order to detect unusual events, you need to define the norm. In order to define both normal and problematic behavior, you need metrics. Metrics are measurements of the behavior in your application. Metrics get created from logs and other data. These high volumes of data get aggregated and collected into easily digestible metrics. This aggregation process that reduces data to metrics is often called a “metrics pipeline.” Clement Pang is the chief architect of Wavefront, a company that builds metrics and alerting software for enterprises such as Box and Lyft. Clement joins the show to discuss how enterprises use alerting and metrics and how to build a company around metrics and alerting–including the data engineering involved in constructing a metrics pipeline. The iOS app is the first project to come out of the Software Engineering Daily Open Source Project. There are more projects on the way, and we are looking for contributors–if you want to help build a better SE Daily experience, check out github.com/softwareengineeringdaily. We are working on an Android app, the iOS app, a recommendation system, and a web frontend. Help us build a new way to consume software engineering content at github.com/softwareengineeringdaily.
#635
Sep 27, 2017 · 55 min
Video Infrastructure with Matt McClure and Jon Dahl
Playing a video on the Internet seems simple. You press play, the video gets delivered, and boom–you are watching Game of Thrones, right? It’s a bit more complicated. Unless you have built an application that involves video, you probably have not dealt with the world of codecs, bitrates, and streaming. Depending on the bandwidth between the user and the server, you might want to use different compression rates. Think about all of the different use cases–different connection speeds, device types, operating systems, video players, cloud providers. As a developer, you just want videos in your application to play quickly and reliably. But it takes a lot of engineering, monitoring, and re-engineering to get it right. Matt McClure and Jon Dahl are the founders of Mux, a company that makes video infrastructure technologies. Previously they built Zencoder, a product for encoding and delivering video. This episode was a fascinating discussion of why building video products for the modern Internet is still so hard. Download the Software Engineering Daily app for iOS to hear all of our old episodes, and easily discover new topics that might interest you. You can upvote the episodes you like and get recommendations based on your listening history. With 600 episodes, it is hard to find the episodes that appeal to you, and we hope the app helps with that. The iOS app is the first project to come out of the Software Engineering Daily Open Source Project. There are more projects on the way, and we are looking for contributors–if you want to help build a better SE Daily experience, check out github.com/softwareengineeringdaily. We are working on an Android app, the iOS app, a recommendation system, and a web frontend. Help us build a new way to consume software engineering content at github.com/softwareengineeringdaily.

Showing 1,621–1,640 of 2,221 episodes