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Software Daily: The world through the lens of software.

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#794
May 5, 2018 · 1 hr 5 min
Superpedestrian Robotic Wheel / Infrastructure at HubSpot Meetup Talks
Superpedestrian is a robotic bicycle wheel that learns how you pedal and personalizes your bicycle ride. The engineering challenges of Superpedestrian are at the intersection of robotics, software, and real-time analytics. The first half of today’s show is about Superpedestrian. Goss Nuzzo Jones and Matt Cole are engineers at Superpedestrian. The slides for their presentation are also in the show notes. The second half of today’s show is about HubSpot, a massive business with lots of infrastructure challenges. Thomas Petr explained how HubSpot’s engineering has matured, and some of the scaling problems they have tackled. Last month, we had three Software Engineering Daily Meetups: in New York, Boston, and Los Angeles. At each of these Meetups, listeners from the SE Daily community got to meet each other and talk about software–what they are building and what they are excited about. I was happy to be in attendance at each of these, and I am posting the talks given by our presenters. The audio quality is not perfect on these, but there are also no ads. Thank you to HubSpot for hosting this Meetup–they have beautiful offices and if you are looking for a job (or if you want to host a technology Meetup in the Boston area) I strongly recommend checking them out. We’d love to have you as part of our community. We will have more Meetups eventually, and you can be notified of these by signing up for our newsletter. Come to SoftwareDaily.com and get involved with the discussion of episodes and software projects. You can also check out our open source projects–the mobile apps, and our website. 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.
#793
May 4, 2018 · 54 min
Spark Geospatial Analytics with Ram Sriharsha
Phones are constantly tracking the location of a user in space. Devices like cars, smart watches, and drones are also picking up high volumes of location data. This location data is also called “geospatial data.” The amount of geospatial data is rapidly increasing, and there is a growing demand for software to perform operations over that data. Geospatial data sets are often massive–so it is non-trivial to perform operations over this data. Geospatial data can consist of something as simple as a set of latitude/longitude data points. A single lat/long coordinate pair can be enriched with information about what ZIP code it is in, how far that data point is from the other data points in the set, and where the nearest coffee shop is in relation to that data point. Ram Sriharsha created Magellan, a geospatial analytics library for Spark. In today’s show, Ram describes the set of problems within the domain of geospatial analytics engineering. Ram also works as a product manager for Apache Spark at Databricks. 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.
#792
May 3, 2018 · 38 min
WannaCry’s Gray Hat with Reeves Wiedeman
Last year, the WannaCry ransomware attack shut down hospitals, public transportation systems, and governments, demanding payment to unlock key computer systems. A programmer named Marcus Hutchins was able to stop WannaCry by registering a DNS entry buried in the WannaCry code. Not long after he stopped the WannaCry attack, Marcus Hutchins was arrested at a security conference in Las Vegas. Marcus’s arrest was due to actions that were unrelated to WannaCry. He is accused of writing a piece of malware called Kronos. Marcus volunteered his time to help stop WannaCry–a piece of ransomware that threatened to cause billions of dollars in damages. Whether or not he was a black hat in the past, perhaps Marcus should be absolved of his past actions. Reeves Wiedeman is a journalist with New York Magazine, and he joins the show to tell the story of WannaCry’s Gray Hat: Marcus Hutchins. 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.
#791
May 2, 2018 · 50 min
Building Datadog with Alexis Le-Quoc
Alexis Le-Quoc started Datadog in 2010, after living through the Internet boom and bust cycle of the late 90s and early 2000s. In 2010, cloud was just starting to become popular. There was a gap in the market for infrastructure monitoring tools, which Alexis helped fill with the first version of Datadog. Since 2010, the number of different cloud infrastructure products has proliferated. There were new databases, queueing systems, virtualization and containerization tools. Web 2.0 took off, and thousands of new Internet businesses got started. Many of these businesses used Datadog to monitor their increasingly wide range of infrastructure configurations–and Datadog began to scale. On today’s show, Alexis tells the story of how Datadog grew from its first product into a variety of tools–infrastructure monitoring, logging, and application performance monitoring. Monitoring is a unique challenge–there is a ton of data, the data is latency sensitive, and the data is operationally important. These engineering constraints provide for a great conversation. Alexis is the CTO of Datadog, and we talked about cloud providers, building a business, infrastructure, and how to scale engineering management. Full disclosure: Datadog is a sponsor of Software Engineering Daily. 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.
#790
May 1, 2018 · 45 min
Technology Utopia with Michael Solana
Technology is pushing us rapidly toward a future that is impossible to forecast. We try to imagine what that future might look like, and we can’t help having our predictions shaped by the media we have consumed. 1984, Terminator, Gattaca, Ex Machina, Black Mirror–all of these stories present a dystopian future. But if you look around the world, the most successful technologists are mostly guided by a sense of optimism. Technologists themselves are mostly idealistic–they see the future through a utopian lens. Popular media largely tells a different story: that we are headed for a dystopian world. Why is there such a gulf in the level of idealism between technologists and the media? Mike Solana found himself asking that question on a regular basis during his work at Founder’s Fund, where he is a vice president. Founder’s Fund has a bias toward funding difficult, cutting-edge technology like gene editing, robotics, and nuclear energy. This technology that Mike was seeing made him excited about the future–which led to his creation of the podcast “Anatomy of Next.” “Anatomy of Next” has explored biology, robotics, nuclear energy, superintelligence, and the nature of reality. Soon the podcast will be exploring how our civilization will explore and settle the solar system–specifically Mars. I’ve listened through the entire first season of the show twice and enjoyed it so much because Mike explores questions that are on the border of philosophy and technology–questions about the nature of reality, and what makes us human–and nobody can give perfect answers to these questions. But Mike interviews top experts on the show, which provides us with a framework. Guests on “Anatomy of Next” include Nick Bostrom (the author of Superintelligence), George Church (a pioneer in gene editing), and Palmer Luckey (the founder of VR company Oculus). Mike joins the show to talk about why he started “Anatomy of Next,” and his own perspective on the future. 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.
#789
Apr 30, 2018 · 55 min
Epicenter Cryptocurrencies with Brian Fabian Crain
Podcasting about cryptocurrencies is a strange occupation. You get emails all the time from companies doing a token sale that you would never want to be affiliated with. You get angry tweets from anonymous Twitter accounts that are on one side of the Bitcoin scaling debate. You get to interview extreme personalities, and the technical discussions can be highly educational. Brian Fabian Crain started the Epicenter podcast four years ago. Podcasting about cryptocurrencies allows a podcaster to report on a wide range of areas: economics, software, philosophy–and the stories within the blockchain world itself. Epicenter is one of my favorite podcasts about cryptocurrencies because Brian is always prepared enough to ask sophisticated questions. In this episode, we talked about ICOs–when does an ICO make sense? It seems that many token economies could function just as well without a token involved. We discussed the scaling approaches of Bitcoin and Ethereum–why are these two blockchains taking very different approaches to their scaling plans? And we talked about Chorus, the company that Brian founded to build infrastructure for proof-of-stake cryptocurrencies. I enjoyed talking to Brian about all these different subjects, and look forward to having him on again in the future. 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.
#788
Apr 28, 2018 · 1 hr 15 min
Keybase Architecture / Clarifai Infrastructure Meetup Talks
Keybase is a platform for managing public key infrastructure. Keybase’s products simplify the complicated process of associating your identity with a public key. Keybase is the subject of the first half of today’s show. Michael Maxim, an engineer from Keybase gives an overview for how the technology works and what kinds of applications Keybase unlocks. The second half of today’s show is about Clarifai. Clarifai is an AI platform that provides image recognition APIs as a service. Habib Talavati explains how Clarifai’s infrastructure processes requests, and the opportunities for improving the efficiency of that infrastructure. Last month, we had three Software Engineering Daily Meetups: in New York, Boston, and Los Angeles. At each of these Meetups, listeners from the SE Daily community got to meet each other and talk about software–what they are building and what they are excited about. I was happy to be in attendance at each of these, and I am posting the talks given by our presenters. The audio quality is not perfect on these, but there are also no ads. Thanks to Datadog for graciously providing a space for our Meetup, and for being a sponsor of SE Daily. You can sign up for Datadog and get a free t-shirt by going to softwareengineeringdaily.com/datadog. We’d love to have you as part of our community. We will have more Meetups eventually, and you can be notified of these by signing up for our newsletter. Come to SoftwareDaily.com and get involved with the discussion of episodes and software projects. You can also check out our open source projects–the mobile apps, and our website. 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.
#787
Apr 27, 2018 · 47 min
Google Cluster Evolution with Brian Grant
Google’s central system for managing compute resources is called Borg. On Borg, millions of Linux containers process a wide variety of workloads. When a new application is spun up, Borg provides that application with the resources it needs. Workloads at Google usually fall into one of two distinct categories: long-running application workloads (such as Gmail) and batch workloads (such as a MapReduce job). In the early days of Google, the long-lived workloads were scheduled onto a system called “BabySitter” and the batch workloads were scheduled onto a system called “Global Work Queue.” Borg was the first cluster manager at Google designed to service both long-running and batch workloads from a single system. The second cluster manager at Google was Omega, a project that was created to improve the engineering behind Borg. The innovations of Omega improved efficiency and architecture of Borg. More recently, Kubernetes was created as an open source implementation of the ideas pioneered in Borg and Omega. Google has also built a Kubernetes as a service offering that companies use to run their infrastructure in the same way that Google does. Brian Grant is an engineer at Google who has seen the iteration of all three cluster management systems that have come out of Google. He joins the show to discuss how the workloads at Google have changed over time, and how his perspective on how to build and architect distributed systems has evolved. Full disclosure: Google is a sponsor of Software Engineering Daily. 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.
#786
Apr 26, 2018 · 53 min
TensorFlow Applications with Rajat Monga
Rajat Monga is a director of engineering at Google where he works on TensorFlow. TensorFlow is a framework for numerical computation developed at Google. The majority of TensorFlow users are building machine learning applications such as image recognition, recommendation systems, and natural language processing–but TensorFlow is actually applicable to a broader range of scientific computation than just machine learning. TensorFlow has APIs for decision trees, support vector machines, and linear algebra libraries. The current focus of the TensorFlow team is usability. There are thousands of engineers building data intensive applications with TensorFlow, but Rajat and the rest of the TensorFlow team would like to see millions more. In today’s show, Rajat and I discussed how TensorFlow is becoming more usable, as well as some of the developments in TensorFlow around edge computing, TensorFlow Hub, and TensorFlow.js, which allows TensorFlow to run in the browser. 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.
#785
Apr 25, 2018 · 49 min
Siftery Engineering with Ayan Barua
There are hundreds of different databases. There are tens of continuous delivery products. There is an ocean of cloud providers and CRM systems and monitoring platforms and sales prospecting tools. The range of available software products is so diverse that it can be overwhelming to figure out which products to buy. Siftery is a company that was started to index software products and help buyers make decisions. Siftery can build a data set from your web site or from your Google account, assess your software stack, and compare those software products to others on the market. In a previous show with Ayan Barua, we discussed how engineers should explore the question of build vs. buy. In today’s episode, Ayan joins the show to discuss how Siftery has evolved, and the engineering behind Siftery products. A newer Siftery product called Track can ingest banking transactions, QuickBooks records, or other transaction histories and use that information to compile the cost structure of your software company, and we spent the latter part of our conversation discussing why and how they built it. 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.
#784
Apr 24, 2018 · 1 hr 2 min
NATS Messaging with Derek Collison
A message broker is an architectural component that sends messages between different nodes in a distributed system. Message brokers are useful because the sender of a message does not always know who might want to receive that message. Message brokers can be used to implement the “publish/subscribe” pattern, and by centralizing the message workloads within the pub/sub system, it lets system operators scale the performance of the messaging infrastructure by simply scaling that pub/sub system. Derek Collison has worked on messaging infrastructure for 25 years. He started at TIBCO, then spent time at Google and VMWare. When he was at VMWare, he architected the open source platform Cloud Foundry. While working on Cloud Foundry, Derek developed NATS, a messaging control plane. Since that time, Derek has started two companies–Apcera and Synadia Communications. In our conversation, Derek and I discussed the history of message brokers, how NATS compares to Kafka, and his ideas for how NATS could scale in the future to become something much more than a centralized message bus. 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.
#783
Apr 23, 2018 · 1 hr 4 min
Stripe Observability Pipeline with Cory Watson
Stripe processes payments for thousands of businesses. A single payment could involve 10 different networked services. If a payment fails, engineers need to be able to diagnose what happened. The root cause could lie in any of those services. Distributed tracing is used to find the causes of failures and latency within networked services. In a distributed trace, each period of time associated with a request is recorded as a span. The spans can be connected together because they share a trace ID. The spans of a distributed trace are one element of observability. Others include metrics and logs. Each of these components of observability make their way into services like Lightstep and Datadog. The path traveled by different elements of observability is called the observability pipeline. In an episode last year, Cory Watson explained how observability works at Stripe. In today’s episode, Cory describes how observability is created and aggregated. It’s a useful discussion for anyone working at a company that is figuring out how to instrument their systems for better monitoring. 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.
#782
Apr 20, 2018 · 58 min
Bitcoin Debates with Roger Ver
Bitcoin and Bitcoin Cash are two cryptocurrencies with similar properties. But the supporters of each of these Bitcoin versions have strongly divergent opinions on the direction of the Bitcoin project. At the center of this debate is the subject of block size. Bitcoin’s block size determines how many transactions fit into each block that is mined. A larger block size leads to faster transactions and lower fees, but creates higher demands on mining hardware. A smaller block size leads to a slower on-chain network and higher fees, but allows the full nodes on the network to be run on low performance hardware like Raspberry Pi. Bitcoin Cash has a large block size. Bitcoin Core has a smaller block size. Proponents of the smaller block size argue that Bitcoin’s scaling can be achieved by the off-chain “lightning network” solution. Roger Ver is a Bitcoin entrepreneur and investor. Since he discovered the currency, he has been buying it and evangelizing it. More recently, Roger has become an ardent supporter of Bitcoin Cash–emphasizing that Bitcoin Cash is Bitcoin. In this episode, Roger describes his economic ideology, and explains why Bitcoin is so important to him. We explore how vested interests can shape the narrative and the direction of Bitcoin, and talk about the future of how corporations, governments, and individuals might be using cryptocurrencies. 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.
#781
Apr 19, 2018 · 59 min
React Stack with G2i Team
Most new frontend webapps today use ReactJS. An increasing number of mobile apps are created using the cross-platform components of React Native. GraphQL, Facebook’s open source data-fetching middleware tool is being used by more and more companies, who are finding that it simplifies their development. Facebook’s open source suite of technologies created a new developer ecosystem. There is an increased demand for engineers who know how to build software with React, ReactJS, and GraphQL. This was the reasoning behind Gabe Greenberg starting G2i, a developer marketplace of engineers who write ReactJS, React Native, and GraphQL applications. In this episode, Gabe, Lee Johnson, and Chris Severns from G2i join the show to discuss React and the other Facebook open source technologies–as well as the ecosystem around them. We explored the architecture of a developer marketplace business, and how to scale a consulting company. 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.
#780
Apr 18, 2018 · 1 hr 12 min
SafeGraph with Auren Hoffman
Machine learning tools are rapidly maturing. TensorFlow gave developers an open source version of Google’s internal machine learning framework. Cloud computing provides a cost effective, accessible way of training models. Edge computing allows for low latency deployments of models. But even if you are a kid with a laptop who has learned all the machine learning algorithms, read all of the deep learning textbooks, and figured out how to use AWS, all of the tooling and education in the world doesn’t change the fact that you still need data to build models. This illustrates why we need data-as-a-service. A kid with a laptop has access to infrastructure-as-a-service, platform-as-a-service, and software-as-a-service. As these tools build on each other, there has been an explosion of high-leverage software products. But the world of data sets remains crude and underdeveloped. Think about some data sets you could take advantage of: the number of emergency room patients that come into a hospital with chest pain; the size of the average coffee mug; the principal component breakdown of sidewalk concrete in San Francisco. SafeGraph is a company that offers data sets as a service. Auren Hoffman is the CEO of SafeGraph, and he joins the show to discuss why he started building SafeGraph and how he thinks about the state of publicly accessible data. Auren was previously on the podcast, and I always enjoy talking to him–this was a great episode and I think you will like it as well. Full disclosure: LiveRamp is a sponsor of Software Engineering Daily, LiveRamp being the company that Auren created prior to SafeGraph. Raj Chetty economic papers Paul Graham “Keep Your Identity Small” Auren Hoffman on Quora 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.
#779
Apr 17, 2018 · 58 min
Talking Bitcoin with Adam B. Levine
Let’s Talk Bitcoin is one of the most popular podcasts about cryptocurrencies. Adam B. Levine started it after three other podcasts he started did not get the traction he had hoped for. Adam parlayed the success of Let’s Talk Bitcoin into a network of podcasts–the Let’s Talk Bitcoin Network–which also includes one of my favorite shows, Epicenter. Adam joins me on today’s episode for a discussion of so many topics: the culture around cryptocurrencies, the art of podcasting, blockchain scalability, and ICOs. The conversation around ICOs was particularly exciting–if you have been listening to recent episodes, you have heard interviews with companies who have done ICOs. Some ICO companies are now facing legal ramifications for their token sales–and Adam and I have some disagreement over whether these ICO companies deserve much sympathy. It was a debate that I enjoyed and I hope to have Adam back on the show in the future for more debates. 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.
#778
Apr 16, 2018 · 48 min
Monitoring Kubernetes with Ilan Rabinovitch
Monitoring a Kubernetes cluster allows operators to track the resource utilization of the containers within that cluster. In today’s episode, Ilan Rabinovitch joins the show to explore the different options for setting up monitoring, and some common design patterns around Kubernetes logging and metrics gathering. Ilan is the VP of product and community at Datadog. Earlier in his career, Ilan spent much of his time working with Linux and taking part in the Linux community. We discussed the similarities and differences between the evolution of Linux and that of Kubernetes. In previous episodes, we have explored some common open source solutions for monitoring Kubernetes–including Prometheus and the EFK stack. Since Ilan works at Datadog, we explored how hosted solutions compare to self-managed monitoring. We also talked about how to assess different hosted solutions–such as those from a large cloud provider like AWS versus vendors that are specifically focused on monitoring. Full disclosure: Datadog is a sponsor of Software Engineering Daily. 8 Surprising Facts About Real Docker Adoption – Datadog 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.
#777
Apr 13, 2018 · 54 min
Unchained with Laura Shin
Laura Shin is the host of Unchained, a podcast about cryptocurrencies and decentralized technology. For every episode, Laura does significant research and preparation, so the content turns out polished and high quality. Her enthusiasm for the subject of cryptocurrencies comes through in her reporting. Podcasting about cryptocurrencies requires walking a fine line. Cryptocurrencies have a mixture of drama and exciting technology–which are both great for a journalist. But you can’t get too deep in the drama, because the podcast will feel like a tabloid. And you can’t get too deep in the technical weeds, because the listener will fall asleep. Laura joins the show to discuss how she got into reporting on cryptocurrencies, why she got so obsessed with the subject, and her experience as a solo entrepreneurial journalist. 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.
#776
Apr 12, 2018 · 54 min
Mastodon: Federated Social Network with Eugen Rochko
Social networks can make you feel connected to a global society. But those social networks are controlled by a corporate entity. The profit motivations of the corporation are not directly aligned with the experience of the users. Mastodon is an open source, decentralized social network. Eugen Rochko started building Mastodon in response to his dissatisfaction with centralized social networks like Facebook and Twitter. In the Mastodon model, users can run their own nodes, and other users can connect to them. You can follow users whose accounts reside in other nodes. Eugen joins the show to discuss how Mastodon works, and how its thousands of users interact on the platform. We explore the open source community that is building Mastodon, and speculate on the future of social networks. 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.
#775
Apr 11, 2018 · 55 min
Go Systems with Erik St. Martin
Go is a language designed to improve systems programming. Go includes abstractions that simplify aspects of low level engineering that are historically difficult—concurrency, resource allocation, and dependency management. In that light, it makes sense that the Kubernetes container orchestration system was written in Go. Erik St. Martin is a cloud developer advocate at Microsoft, where he focuses on Go and Kubernetes. He also hosts the podcast “Go Time,” and has written a book on Go called Go In Action. Recently, Erik helped build the virtual Kubelet project, which allows Kubernetes nodes to be backed by services outside of that cluster. If you want your Kubernetes cluster to leverage abstractions such as serverless functions and standalone container instances, you can use Virtual Kubelet to treat these other abstractions as nodes. Erik also discussed his experience using Kubernetes at Comcast—which was a great case study. Near the end of the show, he also talked about organizing Gophercon, a popular conference for Go programmers—if you are organizing a conference or thinking about organizing one, it will be useful information to you. Full disclosure: Microsoft, where Erik works, is a sponsor of Software Engineering Daily. 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.

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