Scale Your Code Podcast

Containers have exploded in popularity in recent years. To help with the deploying, scaling, and managing of containerized applications, Brendan Burns co-founded Kubernetes - a production-grade container orchestration system. In this episode, Brendan shares how he and his co-founders came up with the idea, how they got started, and what containers mean for the future of Virtual Machines.

Adam got a Red Hat tattoo on his forearm even before working there because of his passion for the open source community. This episode explores why he fell in love with the open source community, as well as the contributions that he and his team have put forth into the Fedora project, Ansible, and OpenShift. We discuss why and how these tools have changed the way people work, and how they can be used with container technologies such as Docker, Kubernetes, and more.

How do you go from having a monolithic application to microservices and how do you build teams and processes around increasing development velocity? In this episode, we find out with James Judd from Lucid Software.

Blockchain is probably the single hottest technology right now, and our guest today is using it for something you might not expect (hint: it’s not another cryptocurrency). A repeat guest shares a new product that his company has been working on which will help companies solve tasks on terabytes of data while paying you for your unused CPU cycles.

Peer-to-peer possibilities are now embedded in modern browsers thanks to technology like WebRTC. It enables browsers to talk with each other without needing any middlemen, like servers, to relay information. This has unlocked a number of fascinating possibilities, one of which we explore in this brand new episode. Shahar Mor from Peer5 joins us to explain how they are streaming data in a much faster and more scalable way than CDNs can do on their own.

Shopify is an impressive platform for a number of reasons. It runs a heavy load for customers that rely on uptime for their businesses to survive and thrive, it was one of the first large production workloads to run Docker, and they’ve got a lot of bright minds. Simon is one of those minds, and he joins us back for another episode to talk about migrating to the cloud, Kubernetes, maintaining a simple, scalable codebase while still delivering within deadlines, and the challenges of growing from a few dozen to a few hundred engineers. Those are just a few of the topics we cover - check out the episode to find out how Shopify does simplicity at scale.

Please help me welcome Anthony James, our new co-host! Anthony built Linux Academy from the ground up into what's become one of the fastest growing private companies in the U.S. on the Inc 500 list. He's learned a lot of technical and business lessons along the way, which he shares in this episode. If you're a technical founder, entrepreneur, or if you want to learn more about the show's new co-host and our plans for 2018, check this out.

As Chief Architect at BigCommerce and CTO at TwitPic, Steve has grown engineering teams from two to 100+ and has learned a great deal along the way. Now, he's diving headfirst into cryptocurrency and playing with new technologies.

Imagine you were put in charge of building a data analytics platform for one of your products in a matter of weeks or months. How would you pull that off? Manisha was put in that position, and her team built a pipeline based on a Lambda architecture, all using AWS services. This architecture is capable of handling real-time as well as historical and predictive analytics. We cover this, and more, in this episode.

If implementing artificial intelligence sounds as intimidating to you as it does to me, then this may peak your interest. We met up with Keen Browne, the co-founder and Head of Product at Bons.ai, because they are working on a way to make it much easier for programmers to integrate AI in their systems. How does Bons.ai do it? How did they get started? Find out in this in-person interview.

What keeps the Stack Exchange suite of websites running under massive load? This episode covers the infrastructure and engineering ingenuity powering our favorite platform.

Tracking errors and performance issues in production environments and in real time can help drastically improve user experience. This episode not only talks about implementing exactly that, but it also talks about building and scaling Raygun, which is a service that provides this solution. This episode covers both business and technical knowledge.

Learn how to build scalable APIs with features like performance analytics, from a company that focuses on building API integrations. Also learn about their development pipeline, culture, and communication, and how important these are when you are growing quickly.

Artificial Intelligence, Augmented Reality, and Virtual Reality are all popular topics right now, but what can we expect from them and what role will JavaScript play in this future? We talk about these points, and we also talk about finding the right talent when hiring, and how to get jobs in the industry.

Whether you are a new startup or a larger and established company, data analytics can give you unique answers to business and engineering questions. How can you build an engine with limited resources on AWS, and how can you make sense of data? Jeff answers these critical questions.

Take a look at how HashiCorp's engineering culture promotes building well-polished open source tools. We also go over each tool to see how they simplify infrastructure and development.

This episode gives us unique insight into Etsy's engineering culture, thanks to Jon Cowie's remote work experience as a Staff Operations Engineer. In addition to that, we peek inside their architecture and scale.

In this interview with Thomas Meeks, Code School's CTO, we learn about how they use a service-oriented architecture to spread around the load. We also talk about Docker, which they use in their newer coding sandboxes to run student's code and verify it. On top of that, we discuss caching, databases, monitoring, and company culture.

We talk about his experience at Google, ImageShack, and how his engine can process images in 25ms on the cloud.

Should you still build apps natively, or can you use web apps? What about building an API that can support all of these different devices? Schuyler from Plex.tv joins us to explain their decision making.