.NET Rocks!

How do you handle credit card payments in your applications? Carl and Richard talk to Craig McKeachie about his work with different payment solutions, including Stripe. The conversation digs into the challenges of building your own payment system versus using a third-party system - starting with PCI compliance! Craig talks about different tooling for embedding payment, including the stripe.net library on GitHub for plugging into Stripe, and so on. Taking payments is important, so is doing it right - you have to think about security in a deep way. Don't build what you don't have to!

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Hang on to your hats, here comes a ServiceStack update! Carl and Richard talk to Demis Bellot, who for the past couple of years has been full time on ServiceStack, and wow, a ton of development has been done! Demis (at very high speed) rattles through the feature list of ServiceStack, talking about the array of platforms it supports - which is pretty much everything from the phone to the cloud. While the focus has always been on providing web services, Demis also talks about running the entire stack inside a machine so that you can provide local services as well. Check it out!

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How much can a language do with only 25 keywords? Carl and Richard talk to Michael Van Sickle about Google's Go Language. The focus in Go is on simplicity and structure - it's amazing what you can do with so few keywords, plus fixed locations for braces, indentations, and so on. The benefit of Go is easy-to-read code that has great concurrency capabilities - the Actor model is a standard pattern of development for Go. Michael also digs into the tooling around Go, using Atom for an editor and various plug ins to make coding and debugging easier. So how good is Go? Docker is written in Go! Check it out!

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There's more great stuff in Studio than you realize! Carl and Richard talk to Charles Sterling about the web performance testing tools built into Visual Studio 2015. Actually, the testing tools have been there since 2008, but only in the test edition, and after that they were moved to the Ultimate Edition - they were part of what made that product so expensive! But as of 2015, the testing tools are available as part of Visual Studio Online, which means they're free for teams of five or fewer as well as all MSDN subscribers! Chuck talks about what it takes to build really great load tests - the kinds of questions you can answer, and how to build those tests into your continuous deployment system. Check it out!

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If you've been listening to the latest episodes, you've heard Omnisharp mentioned - time for a show on it! Carl and Richard talk to David Driscoll about his efforts contributing to Omnisharp. Omnisharp is a set of tools to bring .NET development to all sorts of different development environments, including Visual Studio Code. David discusses the impact that working on a dev tools project like Omnisharp has had on his own career, changing the way he thinks about development - for the better! If you're digging into open source web development in the new Microsoft stack, you really should know about Omnisharp!

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Rob Conery has the Elixir bug! Carl and Richard chat with Rob about being on show 1200, and how Elixir has sucked him in. Elixir is the syntactically friendly language over top of Erlang that has gotten a lot of attention lately. The conversation digs into the strategies around learning a new language, starting with building a good old fashion forms-over-data application. Rob used the Phoenix MVC framework with Elixir to build web pages quickly. He also talks about changing your thinking - how his Elixir code rapidly evolved from an old way of thinking to new, with terser syntax and taking advantage of the language style to build in a new way!

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Kathleen Dollard has been exploring different development environments and wants to tell the world! Carl and Richard talk to Kathleen about her experience using Python and Django with JetBrain's IntelliJ development environment. As Kathleen says, it's the whole development suite, not just a given language, that you have to evaluate as a whole. But if you're going to live in the dynamic language like Python, you need to take testing seriously - and Kathleen dives into her experience of doing semantic testing to build resilient tests that are easy to read and have comprehensive coverage. The conversation turns to the story of how all this came to pass - Kathleen's new job and new leadership role with a consulting firm has pushed her to try new things!

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Ready to do some method interception? Carl and Richard talk to Ricardo Barbosa about CodeCop, his method interception library that you configure with JSON. The conversation starts out talking about why you would want to do method interception in the first place - aspect oriented programming, instrumentation, isolating plumbing code, and so on. There are a bunch of ways to address these problems, and method interception has some advantages. Ricardo talks about building the tool and its gradual evolution as he got a deeper understanding of the underpinnings of .NET. There's a free version of the product, take it out for a spin!

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Document databases as a service? For sure! Carl and Richard talk to Ryan CrawCour about Azure DocumentDB. DocumentDB is a JSON store - with an amazing set of features, including SQL querying. What? Ryan talks about how DocumentDB provides a fast, scalable place to store objects and write your queries any way you like. You write the rules for how your data partitions between collections, as well as the performance of each of those collections, and you can change them on the fly. More sophisticated than a simple key-value-pair store, but less structured that a relational database, DocumentDB sits in a great spot in your data storage needs. Check it out!

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The most requested (and most postponed) Geek Out of them all - Quantum Computing. How much is hype, and how much is real? Richard walks through the history of quantum computing, starting with the understanding of quantum mechanics in the first place, and how modelling that in a classical computer created problems. As it turns out, there are many approaches to quantum computing, and no "one right way" has appeared yet. The state of quantum computing today is like the state of classical computing in the 1950s before the advent of the transistor. Possible, but very difficult and not broadly applicable. Let us know what you think!

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