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Organizing data into a sequence of CRUD operations have a long history in software. But with newer and never-ending data streams, different models are emerging. Guest Andrzej Ludwikowski, a software architect at SoftwareMill joins host Robert Blumen to discuss the architecture patterns of event sourcing and CQRS as alternatives.
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As microservices and container orchestration have grown in popularity, reusable layers of logic, such as authentication and rate limiting, have been pulled out into separate entities known as a service mesh. Luke Kysow, a software engineer at HashiCorp, covers their history and evolution.
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Chaos engineering is a way of testing your software predicated on the fact that something in your system, at some point, will break. By intentionally causing disruptions--for example, dropping network connections--and observing how your system responds, you'll better prepare yourself for when the unexpected happens. Mikolaj Pawlikowski, author of "Chaos Engineering: Crash test your applications" explains the philosophies and best practices behind these resiliency techniques.
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Too often, there's an assumption that putting one's application "in the cloud" simply means hosting your code on a server somewhere--but that's just the beginning. Guest Cornelia Davis, CTO of Weaveworks, talks with Joe Kutner about what it really means to be a cloud native application, discussing everything from resiliency patterns to deployment practices.
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There are many different ways to architecturally structure a program, which has invariably led to debates on which system is "the best." We'll explore several of these strategies--nicknamed DRY (Don't Repeat Yourself), DAMP (Don't Abstract Methods Prematurely), and WET (Write Everything Twice)--with Ev Haus, the Head of Technology at ZenHub, including when each is best to use.
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Programmers are often expected to not only know complicated math equations, but to cherish them dearly; in reality, nothing could be further from the truth. Although mathematics forms the basis for a lot of software, most people are still put off by it. Paul Orland, a mathematician turned programmer, found this so perplexing that he wrote a book breaking down math concepts for programmers. He'll share his reasons for doing so, as well as why he believes maths is essential to every job.
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A "deep fake" is the derisive name given to the rise of manipulated pictures and videos. Will newer forms of computer generated media cause us doubt what we see and hear online? Dmytro Bielievtsov is the CTO and co-founder of Respeecher, a speech-to-speech platform that produces AI-generated audio samples. In this second half of a two-part episode, he'll explain how audio can be faked, why it can be advantageous, and more importantly, how faked audio can be detected.
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The COVID-19 pandemic has forced many industries to rethink how they operate. Amidst those changes, businesses are looking for new ways to keep on top of rapidly changing health guidelines. Microshare is a provider of data-driven solutions for IoT devices. Tim Panagos, their CTO, talks about what they built and what they adapted in order to massively pivot their business to provide solutions that communities desperately need.
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The rise of manipulated pictures and videos have given a name to this notorious practice: deep fakes. But Alex Serdiuk, the CEO of Respeecher, suggests its how we use these tools that makes them bad, not the technology in and of itself. He'll explain how his platform, which produces AI-generated audio samples, is actually helping the entertainment industry deliver fresh content to its customers.
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Not every tech company gets to move fast and break things. For companies operating in heavily regulated spaces, like banking, efforts to modernize legacy systems must be made carefully. Yobota explains how they're able to deliver custom APIs and solutions to financial institutions with guaranteed uptime and functionality.
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