The O’Reilly Programming podcast features conversations that give developers, engineers, and architects tips on getting projects done better and faster.

O'Reilly Programming Podcast

microservices

Tech

Wesley Reisz talks to Daniel Bryant on moving from monoliths to micro-services, covering bounded contexts, when to break up micro-services, event storming, practices like observability and tracing, and more.

Why listen to this podcast:

- Migrating a monolith to micro-services is best done by breaking off a valuable but not critical part first.
 - Designing a greenfield application as micro-services requires a strong understanding of the domain.
 - When a request enters the system, it needs to be tagged with a correlation id that flows down to all fan-out service requests.
 - Observability and metrics are essential parts to include when moving micro-services to production.
 - A service mesh allows you to scale services and permit binary transports without losing observability.

More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2pFYBiT

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Show Notes

Daniel Bryant on Microservices and Domain Driven Design

This is a reading by James Kelly of his own blog available here: http://jameskelly.net/blog/2017/6/19/are-service-meshes-the-next-gen-sdn

JamesKelly.net Blogs

Are Service Meshes the Next-Gen SDN?

In this episode of the Data Show, we look back to a recent conversation I had at the Spark Summit in San Francisco with Ion Stoica (UC Berkeley professor and executive chairman of Databricks) and Matei Zaharia (assistant professor at Stanford and chief technologist of Databricks). Stoica and Zaharia were core members of UC Berkeley’s AMPLab, which originated Apache Spark, Apache Mesos, and Alluxio.

The State Of Machine Learning In Apache Spark

In this episode of the Data Show, I spoke with Bruno Fernandez-Ruiz, co-founder and CTO of Nexar. We first met when he was leading Yahoo! technical teams charged with delivering a variety of large-scale, real-time data products. His new company is helping build out critical infrastructure for the emerging transportation sector.

Vehicle-to-Vehicle Communication Networks Can Help Fuel Smart Cities

In this episode of the Data Show, I spoke with Rhea Liu, analyst at China Tech Insights, a new research firm that is part of Tencent’s Online Media Group. If there’s one place where AI and machine learning are discussed even more than the San Francisco Bay Area, that would be China. Each time I go to China, there are new applications that weren’t widely available just the year before. This year, it was impossible to miss bike sharing, mobile payments seemed to be accepted everywhere, and people kept pointing out nascent applications of computer vision (facial recognition) to identity management and retail (unmanned stores).

Machine Intelligence for Content Distribution, Logistics, Smarter Cities, and More

In this episode of the O’Reilly Programming Podcast, I talk with Matt Stine, global CTO of architecture at Pivotal. He is the presenter of the O’Reilly live online training course "Cloud-Native Architecture Patterns," and he has spoken about cloud-native architecture at the recent O’Reilly Software Architecture Conference and O’Reilly Security Conference.

Matt Stine on Cloud-Native Architecture

In this episode of the O’Reilly Programming Podcast, I talk with Paul Bakker, senior software engineer on the edge developer experience team at Netflix, and Sander Mak, a fellow at Luminis Technologies. They are the authors of the O’Reilly book "Java 9 Modularity," in which they call the introduction of the module system to the platform “the start of a new era.”

Paul Bakker and Sander Mak on Java 9 Modularity

In this episode of the O’Reilly Programming Podcast, I talk with Richard Warburton and Raoul-Gabriel Urma of Iteratr Learning. They are the presenters of a series of O’Reilly Learning Paths, including "Getting Started with Reactive Programming" and "Build Reactive Applications in Java 8." Warburton is the author of "Java 8 Lambdas," and Urma is the author of "Java 8 in Action."

Richard Warburton and Raoul-Gabriel Urma on Java 8 and Reactive Programming

In this episode of the O’Reilly Programming Podcast, I talk about Jenkins 2 and Git with Brent Laster, who presents a number of live online training courses on these topics (including "Building a deployment pipeline with Jenkins 2," and "Next level Git"). Laster will also present the workshop "Power Git" at the O’Reilly Open Source Convention, July 16-19, 2018, in Portland, Oregon, and he is the author of the forthcoming O’Reilly book "Jenkins 2: Up and Running."

Brent Laster on Jenkins 2 and Git

In this episode of the O’Reilly Programming Podcast, I talk about Kubernetes, containers, and more with Bridget Kromhout, a principal cloud developer advocate at Microsoft, and a frequent speaker at tech conferences. She will be leading the workshop "Kubernetes 101" at the O’Reilly Velocity Conference in San Jose, June 11-14, 2018, and at the O’Reilly Open Source Convention (OSCON), July 16-19, 2018.

Bridget Kromhout on Kubernetes

In this episode of the O’Reilly Programming Podcast, I talk with two of the program chairs for the upcoming O’Reilly Fluent Conference (July 11-14 in San Jose), Kyle Simpson and Tammy Everts. Simpson is co-author of the "HTML 5 Cookbook," and the author of the "You Don’t Know JS" series of books. Everts is the chief experience officer at SpeedCurve and the author of "Time is Money: The Business Value of Web Performance."

Kyle Simpson and Tammy Everts on the Challenges of the Modern Web

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Matt Stine on Cloud-Native Architecture

O'Reilly Radar