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#1083
Mar 11, 2019 · 45 min
Energy Market Machine Learning with Minh Dang and Corey Noone
The demand for electricity is based on the consumption of the electrical grid at a given time. The supply of electricity is based on how much energy is being produced or stored on the grid at a given time. Because these sources of supply and demand fluctuate rapidly but predictably, energy markets present profit opportunities for traders. Minh Dang and Corey Noone are engineers with Advanced Microgrid Solutions, a company that builds software to help traders capture better opportunities in the energy markets. Minh and Corey join the show to talk about how their company builds and deploys machine learning models for market prediction. We discussed data infrastructure, machine learning model deployments, and the dynamics of the energy markets.
#1082
Mar 8, 2019 · 58 min
Netlify with Mathias Biilmann Christensen
Cloud computing started to become popular in 2006 with the release of Amazon EC2, a system for deploying applications to virtual machines sitting on remote data center infrastructure . With cloud computing, application developers no longer needed to purchase expensive server hardware. Creating an application for the Internet became easier, cheaper, and simpler. As the cloud has become popular, new ways of deploying applications have emerged. A developer with a web app has so many different options. You can host your app on an Amazon EC2 server, which will require you to manage cloud infrastructure in case your server crashes. You can deploy your app to Heroku, which gives your cloud deployment better uptime guarantees for a higher price than Amazon EC2. Or you can use Linode, or Microsoft Azure, or Google Cloud. There is such a large market for cloud computing that the world of cloud providers serves more niches every year. In past episodes we have explored a variety of different cloud providers, and the markets they target. Pivotal Cloud Foundry is for managing complex distributed systems applications, typically with large teams. Firebase is a cloud provider that simplifies the developer experience for applications with small teams. Spotinst is a cloud provider that emphasizes low cost. Zeit is a cloud provider that is built to manage applications through serverless “functions-as-a-service” like AWS Lambda. In today’s episode, Mathias Biilman Christensen, CEO of Netlify, joins the show. Netlify is a cloud provider that was built for modern web projects. Netlify represents the convergence of several trends in software development converging: static site deployment, serverless functions, a desire to have a “no-ops” deployment with minimal management, and the rise of newer tools like GraphQL and Gatsby. Mathias explores these trends in detail, and explores the technical challenges of building Netlify. He was a great guest, capable of talking about difficult backend problems that require writing C++, as well as the frontend world of JavaScript frameworks. One announcement before we begin: we are having a $5000 hackathon. The $5000 hackathon is for a new product we’ve been working on: FindCollabs. FindCollabs is a platform for finding collaborators and building projects. Whether you are an engineer, a musician, a designer, a videographer, or an artist, FindCollabs lets you find people and collaborate. To try out FindCollabs, just go to FindCollabs.com, you can make a project or you can join someone else’s project. And it’s very easy to make these projects–you don’t need to have anything built yet–you need to have a vision for what you want to build. And to find out about the hackathon, go to findcollabs.com/hackathon. We are giving away $5000 in cash to the coolest projects that get built before Sunday April 14th. So I recommend getting started early, finding some people to collaborate with, and building some cool stuff!
#1081
Mar 7, 2019 · 59 min
LinkedIn Monitoring Infrastructure with Alexander Pucher
Monitoring tools are used by every area of an organization. Business development teams use monitoring to understand the metrics for product performance. Finance teams need to understand how the costs of cloud computing resources are changing. Site reliability engineers use monitoring dashboards that applications are up and running without problematic latency. Product managers evaluate the results of AB tests based off of the monitoring data of how users are reacting to new features. A monitoring system needs to be able to handle large volumes of data that are being generated at a high velocity. The data needs to be queryable in an aggregated format, which might require an ETL system for getting data into columnar format. Alexander Pucher is an engineer at LinkedIn, where he works on a monitoring platform called ThirdEye. ThirdEye is built on top of Apache Pinot, a distributed columnar storage engine that ingests data and serves analytical queries at low latency. Pinot uses RocksDB, and is comparable to Apache Druid. Alexander joins the show to discuss ThirdEye, and explain why Pinot is a useful building block for monitoring infrastructure.
#1080
Mar 6, 2019 · 59 min
WebAssembly Execution with Syrus Akbary
WebAssembly is a runtime that lets languages beyond JavaScript to execute in frontend web applications. WebAssembly is novel because most modern frontend applications are written entirely in JavaScript. WebAssembly lets us use languages like Rust and C++ after they have been compiled down to a web assembly binary module. Language interoperability is only one part of why WebAssembly is exciting. The execution environment for WebAssembly modules has benefits for security and software distribution and consumption as well. In previous shows, we’ve given an overview of WebAssembly and explored its future applications as well as its relationship to the Rust programming language. In today’s episode, we explore the packaging and execution path of a WebAssembly module, and some other applications of the technology. Syrus Akbary is the CEO and founder of Wasmer, a company focused on creating universal binaries powered by WebAssembly. Wasmer provides a way to execute WebAssembly files universally. He joins the show to talk about the state of WebAssembly, and what his company is building.
#1079
Mar 5, 2019 · 50 min
Ethereum Usability with Sean Li
Cryptocurrencies enable a large number of applications. Trustless reputation systems, decentralized identity tools, micropayments, non-fungible Internet items, borderless currencies, just to name a few. But cryptocurrencies have not yet impacted daily life, for most of us. Why is that? One reason is that it is still very hard for developers to build within the cryptocurrency ecosystem. The programming languages, such as Solidity, are not widely used by software engineers. Building and deploying smart contracts is not as easy as deploying a simple Ruby on Rails webapp. The open source tooling is immature, as are the paid developer tools. Sean Li is the CEO of Fortmatic, a company that is building tools to improve the Ethereum developer experience. Fortmatic simplifies wallet creation, user identity management, security, and money transfer for Ethereum developers. Before starting Fortmatic, Sean was the founder of Kitematic, a company that made the developer experience of Docker easier. Kitematic was acquired by Docker. Sean is one of the few people with significant experience in both the enterprise container ecosystem and the cryptocurrency ecosystem. Sean joins the show to discuss his time in the Docker ecosystem, his new company Fortmatic, and his perspective on how to build tools for developers. Someday there will be hundreds of thousands of developers building applications around cryptocurrencies, just like people use cloud computing today. The road to getting there is unclear, and Sean provides useful insights and predictions for the future.
#1078
Mar 4, 2019 · 52 min
StarkWare: Transparent Computational Integrity with Eli Ben Sasson
Computational integrity is a property that is required for financial transactions on the Internet. Computational integrity means that the output of a certain computation is correct. If I deposit money into my bank, my bank sends me a number that represents the new balance in my account. I assume that the number they have sent me is correct. The bank could be lying to me–maybe this bank is not actually trustworthy. But I use a bank with a good reputation. If the bank stole money from its users, it would quickly go out of business. Therefore, I feel safe by trusting a bank with my money, because the bank needs to maintain its reputation. The problem with reputation-based systems is that they are opaque. It’s not easy for us to audit the bank and prove the bank actually has the money that it claims to have. Most of the time, the reputation-based systems work fine. But occasionally, we have catastrophic events–think of the 2008 financial crisis, or the Bernie Madoff financial scandal. These circumstances would have been avoided if the financial institutions could have been continuously audited for their solvency. With blockchains and cryptocurrencies, we now have tools that allow us to maintain computational integrity without the opaque systems of reputation. We no longer have to trust a central authority–we can verify computational integrity with math. Eli Ben-Sasson is a co-founder and chief scientist at StarkWare Industries, a company that is bringing zero-trust technology to market. Implementations of zero-trust technology include zk-STARKs, zk-SNARKs, and bulletproofs. StarkWare is focused on the application of zk-STARKs, which can be used to improve scalability and privacy. Eli joins the show to discuss the topic of computational integrity, and how STARKs can be used to provide scalable, secure infrastructure to blockchain applications.
#1077
Mar 3, 2019 · 8 min
FindCollabs
Collaboration on the Internet creates innovation. New inventions, new art, and new products–built by people working together on the Internet. FindCollabs is a product we have been working on to enable people to find and collaborate with each other. If you want to try it out, you can go to FindCollabs.com. FindCollabs is for finding people to create your projects with, and getting those projects built. Whether you are a programmer, a writer, a musician, a game designer, an actor, a videographer, or a project manager–you can find people to collaborate with. I love to work on so many different types of projects, and I love to collaborate with other people. For me, the best way that I learn new skills is by building things. I like to write music, create software, make podcasts, and build businesses. I like to create all the time. For big projects, it’s easier to build your project with a team. Finding team members can be very hard. I value other people who are creative and reliable. FindCollabs lets you find and invite people to your projects, so that you can put together a team to build your project. FindCollabs also has a reputation system. When you work on a project, your collaborators rate you. As you make contributions to projects, you show the FindCollabs community that you are reliable and productive–and other people will want to work with you because of that. The only way to build huge, ambitious projects as a team is for people to trust each other. If you are unreliable, people will not want to work with you. When you join a project on FindCollabs, you are committing to doing work that will add value to that project. If you like to build projects and be creative, you might like FindCollabs. To get started, you can go to FindCollabs.com, log in, and post a project. Or join someone else’s project. If you are ever confused about anything, you can always send me an email. We are sponsoring a series of hackathons on FindCollabs. These hackathons are for anyone with a creative project–whether you want to make a music video, a virtual reality game, an acoustic guitar song, a cryptocurrency whitepaper, a mobile app, a commercial–anything creative. Our first hackathon starts today, March 3rd 2019, and ends at 11:59 PM PST on Saturday March 16th. On March 17 2019 we will announce the winners of the first hackathon, and send them emails. We will also announce the details of the second hackathon. Prizes In the first hackathon, the prizes are not very big. But they will get bigger over time. If you like the idea of FindCollabs, it might benefit you to get involved now, so that you can build your reputation and find better people to work with in the future. 1st place: $500 divided evenly among the winning team; SE Daily hoodies for each member of the team 2nd place: SE Daily hoodies for each member of the team Most valuable feedback on the product: SE Daily Towel Most helpful community member award: SE Daily Old School Bucket Hat The FindCollabs hackathons will be judged by a panel of investors, entrepreneurs, podcasters, artists, and technologists. We will announce the judges of the first hackathon in the next few days. These judges will be voting based on which projects they like the most. Every project on the FindCollabs site before 11:59 PM PST on Saturday March 16th will be entered to win the contest. To find our detailed terms and conditions, go to findcollabs.com/terms. Thanks for taking the time to read through this post. If you get a chance, check out FindCollabs and feel free to send me feedback. I’d love to know what you think, and any suggestions you have.
#1076
Mar 1, 2019 · 1 hr 2 min
Internet History (and Future) with Brian McCullough
The Internet has transformed humanity. The Internet is the result of a long series of innovations from military, academia, business, and the open source community. In his book, How The Internet Happened: From Netscape to the iPhone, Brian McCullough tells the story of the last 25 years of Internet development through the lens of companies like ebay, Amazon, Google, and Apple. Whereas other books have focused on the trajectory of these individual companies, Brian explains how innovations in one company often lead to success in another. Without the lessons from Napster, we might not have Spotify. Without the trust model pioneered by ebay, we would not have marketplaces like Airbnb. Brian is also the host of The Internet History Podcast and the Techmeme Ride Home podcast. In The Internet History Podcast, Brian interviews entrepreneurs and engineers who were firsthand witnesses to the developments that led to our modern Internet, including early employees at Amazon, Tesla, and TheGlobe.com. In his other podcast, the Techmeme Ride Home, Brian gives a daily overview of the day’s Internet news. Through his podcasts about the Internet’s past and present, Brian has also accumulated an intuition about the future. He joins the show to discuss his book, the art of podcasting, and the historical lessons of technology.
#1075
Feb 28, 2019 · 59 min
Ad Fraud Economics with Craig Silverman
Advertising fraud steals billions of dollars every year. BuzzFeed reporter Craig Silverman reports on advertising fraud and its impact on the Internet. In one investigation, Craig uncovered a mobile advertising fraud scheme in which four people stole millions of dollars (perhaps as much as $75 million or even $750 million) by serving advertisements to automated users on mobile apps. The scheme worked as follows: This scheme was easy to pull off. It did not require much sophistication in terms of engineering or business skills. If a group of four people can generate tens of millions of dollars, how much ill-gotten capital is being generated by large corporations that are deeply involved in the advertising market? Craig’s article went viral, and he has followed it up with other pieces about ad networks, fraud investigations by Google, and the potential for mobile apps to be used for large scale surveillance of Americans by the Chinese. Craig is the most dedicated reporter covering advertising fraud today. His work is invaluable because he is asking difficult questions about the economics of our Internet. As we discuss in the episode, there is currently no effective automated means of detecting a bot from a human on the internet. We have also discussed this in detail on previous episodes about ad fraud, the advertising industry, advertising analytics, and the techniques of ad fraud. Ad fraud is not the fault of any one party. It is an emergent result of the way that our Internet is set up. It is as hard to imagine a world without advertising fraud as it is to imagine a world without email spam.
#1073
Feb 27, 2019 · 57 min
Fake Podcast Charts with Jack Rhysider
Podcast listeners usually find out about a new podcast in one of two ways: either a friend recommends that podcast or the Apple podcast charts rank that new podcast highly. The Apple podcast charts are created using an algorithm that is not public. Many people believe that the chart ranking of a podcast is based on the number of podcast subscribers, the number of podcast downloads, and the reviews that are written about the podcasts on iTunes. Jack Rhysider is the host of Darknet Diaries, a podcast about the dark and strange elements of the Internet. Darknet Diaries is told in a high quality, narrative audio format. Jack is a security engineer with a deep understanding of technology, and has been blogging for a long time. As Jack has built a following with his podcast, he has spent more time looking at the iTunes podcast charts. He has seen the rank of Darknet Diaries increase–but he has seen the rank of other podcasts increase much faster. Some of these podcasts have low quality content. The audio quality is poor, the host is unprepared–these are the kinds of podcasts you would listen to once, and never subscribe to. And yet, numerous podcasts with low quality were somehow able to game the rankings and make it to the top of the charts. In episode 27 of Darknet Diaries, Jack investigated the phenomenon of fraudulent podcast chart manipulation. It was one of my favorite podcast episodes ever (and this is coming from someone who has listened to a lot of podcasts). The investigation went to several unexpected places, but Jack did solve the riddle of how low quality podcasts climb the iTunes charts. Jack joins the show to talk about fraudulent–and the broader implications of the fake Internet. Today’s episode is a simple example of how easily Internet platforms can be gamed–for a deeper dive into the fake Internet, listen to our past episodes on advertising fraud, or tomorrow’s episode with ad fraud investigative journalist Craig Silverman, which I am very excited about.
#1071
Feb 26, 2019 · 47 min
AWS Internet of Things with Dirk Didascalou
Many devices in our world are not “smart.” Air conditioners, electric guitars, power outlets, and factory conveyor belts, just to name a few. There are exciting software applications that we could build around these devices, but we need to be able to interface with them programmatically. We need to be able to know the state of these devices. We need to be able to save that state, and then we can use that state data to perform actions that change the state of those devices. To make these devices smart, we can use a microcontroller, a small device with a constrained amount of CPU, memory, and I/O. Device data can be sent to the cloud or processed locally, and that data can be used perform predictive maintenance, or create machine learning models, or create simple dashboards so human operators can understand the state of their hardware. Dirk Didascalou is the VP of Internet of Things with Amazon Web Services. Dirk joins today’s show to discuss the strategy and philosophy of the AWS Internet of Things set of tools. We talk about a wide-ranging set of topics–including IoT security, edge deployments, and machine learning.
#1070
Feb 25, 2019 · 54 min
Edge Computing Open Source with Arpit Joshipura
Edge computing refers to computation involving drones, connected cars, smart factories, or IoT sensors. Any software deployment that is not a large centralized server installation could qualify as an edge device–even a smartphone. Today, much of our heavy computation takes place in the cloud–a set of remote data centers some distance away from our client devices. For many use cases, this works fine. But there are a growing number of use cases with lower latency and higher bandwidth requirements at the edge. A simple example is video. Let’s say you want to record a video stream, and detect people in that video stream in real time. Based on who those people in the video stream are, you want to do different things–maybe you want to send them a text message, or report to the police that a dangerous person has entered the premises. This video stream could be captured by a drone, or by a smart car, or by a video camera mounted somewhere. Where is the video stream getting stored? Where is the machine learning model running? How do you deploy new machine learning models to the operating system with the machine learning model? This is a simple example, and there are many open questions as to how to best solve such a problem. With the increased resource constraints at the edge, there is a need for new hardware and software to power these edge applications. This led to the creation of LF Edge, a new open source group under the Linux Foundation. The goal of LF Edge is to build an open source framework for the edge. Arpit Joshipura is the general manager of networking, orchestration, edge computing, and IoT with the Linux Foundation. He joins the show to describe the state of edge computation, and the mission of LF Edge. This episode was exciting for several reasons. After seeing the rise of Kubernetes for container orchestration, we know that a popular open source technology that solves a widespread problem can have dramatic influence on the software world. And when multiple large companies get involved in that open source project, it can gain traction quite quickly. Edge computing has a large set of unanswered questions, but telecom providers like AT&T and large infrastructure companies like Dell EMC are getting heavily involved with the Linux Foundation Edge group. This represents a significant expansion of the open source model, and a suggestion of further investment into open source projects in the near future.
#1068
Feb 22, 2019 · 50 min
React Native Rearchitecture with G2i Team
React Native allows developers to build native applications for iOS and Android using components written in the React JavaScript framework. These ReactJS components render to native application code by going over a JavaScript bridge, a message bus that communicates between JavaScript code and native iOS or Android runtimes. For most mobile application use cases, React Native works well. But in some cases, the platform suffers from performance issues due to the functionality of the JavaScript bridge. For example, mobile games with high demands on graphics, networking, and fast real-time updates to the UI can stutter when using React Native. To address the performance issues of React Native, the core team working on React Native at Facebook is rearchitecting the React Native runtime within a project called Fabric. Fabric consists of changes to the threading model, the data handling system, and the JavaScript bridge. Chris Severns and Lee Johnson work at G2i, a group of React and React Native specialists. Chris and Lee join the show to discuss the rearchitecture, including the engineering history of React, the technical debt within the React project, and the vision that the React team has for the future. We also discuss Google’s Flutter project, a cross-platform native framework with a different architectural model than React Native.
#1067
Feb 21, 2019 · 57 min
PlanetScale: Sharded Database Management with Jiten Vaidya and Dan Kozlowski
In the early days of YouTube, there were scalability problems with the MySQL database that hosted the data model for all of YouTube’s videos. The state of the art solution to scaling MySQL at the time was known as “application-level sharding.” To scale a database using application-level sharding, you break up the database into shards–disjoint regions of data. When you want to query the database, you need know which shard to query. In your application code, you have to issue the query to a specific shard. The solution of application-level sharding does scale your database. But the downside is that every application that interfaces with the database now has to include code that is aware of the sharding schema. If you are an application engineer, you don’t want to have to worry about the way that the database is sharded, because it adds significant complexity to your code. The engineers at YouTube decided to fix this problem with a project called Vitess. Vitess abstracts away the details of sharding by orchestrating reads and writes across the distributed database. In a previous episode, we covered the architecture, read and write path, and the story of Vitess in detail. In today’s episode, Jiten Vaidya and Dan Kozlowski of PlanetScale Data join the show to give their perspective on MySQL scalability, and their work taking Vitess to market as a solution to scaling relational databases.
#1066
Feb 20, 2019 · 1 hr 5 min
Zoox Self-Driving with Ethan Dreyfuss
Zoox is a full-stack self-driving car company. Zoox engineers work on everything a self-driving car company needs, from the physical car itself to the algorithms running on the car to the ride hailing system which the company plans to use to drive around riders. Since starting in 2014, Zoox has grown to over 500 employees. Ethan Dreyfuss is a software infrastructure engineer at Zoox. He joins the show to discuss scaling an engineering team for self-driving. Machine learning was a big part of our conversation, because there are so many different approaches that an engineering team can take when it comes to machine learning for cars. Can you take computer vision algorithms from academic papers and apply them to cars? Can you use the computer vision APIs from the cloud providers for anything useful? What about physical world mapping companies like Mapillary? How do you do data labeling, and data management? And how do you manage the interactions across the stack, from mechanical engineering to user interface design? We touched on some of these areas, but barely scratched the surface of the self-driving car domain.
#1065
Feb 19, 2019 · 45 min
Store2Vec: DoorDash Recommendations with Mitchell Koch
DoorDash is a food delivery company where users find restaurants to order from. When a user opens the DoorDash app, the user can search for types of food or specific restaurants from the search bar or they can scroll through the feed section and look at recommendations that the app gives them within their local geographic area. Recommendations is a classic computer science problem. Much like sorting, or mapping, or scheduling, we will probably never “solve” recommendations. We will adapt our recommendation systems based off of discoveries in computer science and software engineering. One pattern that has been utilized recently by software engineers in many different areas is the “word2vec”-style strategy of embedding entities in a vector space and then finding relationships between them. If you have never heard of the word2vec algorithm, you can listen to the episode we did with computer scientist and venture capitalist Adrian Colyer or listen to this episode in which we will describe the algorithm with a few brief examples. Store2vec is a strategy used by DoorDash to model restaurants in vector space and find relationships between them in order to generate recommendations. Mitchell Koch is a senior data scientist with DoorDash, and he joins the show to discuss the application of store2vec, and the more general strategy of word2vec-like systems. This episode is also a great companion to our episode about data infrastructure at DoorDash.
#1064
Feb 18, 2019 · 56 min
Policy Enforcement with Shimon Tolts
The nature of software projects is changing. Projects are using a wider variety of cloud providers and SaaS tools. Projects are being broken up into more git repositories, and the code in those repositories are being deployed into small microservices. With the increased number of tools, repositories, and deployment targets, it can become difficult to manage software policy. “Policy” defines how different parts of an application can behave. Which parts of your application can access an Amazon S3 bucket? Which parts of your application can communicate with the authentication microservice? Which developers are allowed to push a new build to production? Shimon Tolts is the CTO and co-founder of Datree, a platform for policy enforcement and code compliance. He joins the show to talk about continuous delivery, configuration management, and policy enforcement. He also explains the motivation for his company Datree, which performs analysis across a user’s GitHub repo to map the committers, code components, and repositories.
#1063
Feb 15, 2019 · 1 hr 23 min
Ethsimple: Ethereum Tools with Brian Soule
Ethereum allows developers to run decentralized applications. But the tooling for building and managing those decentralized applications is immature. Experienced software engineers have difficulty getting started with writing Ethereum applications because the stack of tools is so unfamiliar and different than traditional software tools. Whether or not Ethereum itself succeeds, developers in the future will probably be building some decentralized apps. We will be treating money as a first-class citizen and architecting software that transfers financial value as easily as we transmit JavaScript today. “Web3” will be a world in which many more software applications will be possible. As we move towards Web3, many new tools will be built. Web2 was the result of Ruby on Rails, Amazon Web Services, the iPhone, and other software tools that made it easier to deploy web servers and consume Internet services. In the world of Web2, we saw the birth of Airbnb, Uber, and Netflix. In the world of Web3, we will see new types of gig economy apps, sharing economy platforms, and social networks. These new applications will arrive gradually as the tooling improves, and makes it easier for developers to hack together businesses and side projects built on cryptocurrencies. Brian Soule is the founder or Ethsimple, a company that makes tools for Ethereum developers. Brian joins the show to talk about the state of cryptocurrencies, the tooling that developers have access to, and his company Ethsimple. We cover high-level ideas, such as Bitcoin maximalism and also talk about some more technical areas of the Ethereum ecosystem, such as the Ethereum Name Service.
#1062
Feb 14, 2019 · 50 min
Kubernetes Security with Liz Rice
A Kubernetes cluster presents multiple potential attack surfaces: the cluster itself, a node running on the cluster, a pod running in the node, a container running in a pod. If you are managing your own Kubernetes cluster, you need to be aware of the security settings on your etcd, your API server, and your container build pipeline. Many of the security risks of a Kubernetes cluster can be avoided by using the default settings of Kubernetes, or by using a managed Kubernetes service from a cloud provider or an infrastructure company. But it is useful to know about the fundamentals of operating a secure cluster, so that you can hopefully avoid falling victim to the most common vulnerabilities. Liz Rice wrote the book Kubernetes Security with co-author Michael Hausenblas. Liz works at Aqua Security, a company that develops security tools for containerized applications. In today’s show, Liz gives an overview of the security risks of a Kubernetes cluster, and provides some best practices including secret management, penetration testing, and container lifecycle management.
#1061
Feb 13, 2019 · 58 min
Replicated: On-Prem Deployments with Grant Miller
Cloud computing has been popular for less than twenty years. Large software companies have existed for much longer. If your company was started before the cloud became popular, you probably have a large, data center on your companies premises. The shorthand term for this software environment is “on-prem”. Deploying software to your own on-prem servers can be significantly different than deploying to remote servers in the cloud. In the cloud, servers and resources are more standardized. It is often easier to find documentation and best practices for how to use cloud services. Many of the software vendors who got started in the last decade created their software in the cloud. For example, Readme.io makes it easy for companies to create hosted documentation. Their early customers were startups and other cloud-native companies. All of those companies were happy to consume the software in the cloud. As time went on, Readme found that other customers wanted to use the Readme product as a self-hosted, on-prem service. Readme needed to figure out how to deploy their software easily to the “on-prem” environment. It turns out that this is a common problem. Software vendors who want to sell to on-prem enterprises must have a defined strategy for making those deployments to on-prem infrastructure–and those deployments are not always easy to configure. Replicated is a company that allows cloud-based software to easily deploy to on-prem infrastructure. Grant Miller is the founder of Replicated and he joins the show to discuss on-prem, cloud, and the changing adoption patterns of enterprise software companies.

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