We start with a use case: why would you even want to move to a microfrontends architecture? You’ll learn the motivation, core concepts and principles behind microservices, how they can help your frontend team work more efficiently, and the tradeoffs that are normally involved when you try to apply them to single-page applications. Luckily, Docker and Kubernetes can alleviate a lot of these issues, and we’ll walk through a minimal but concrete example of building a microfrontends architecture with these tools on your local machine. Finally, you’ll see how you could migrate gradually and what it takes to bring this architecture to production. No previous knowledge of Docker or Kubernetes is required. What are the key takeaways from this talk?
– A real-life use case for microfrontends and motivation for adopting microfrontends (tech autonomy, reduced impact of failure, team independence)
– Core concepts, principles, and prerequisites of microservices (highly decentralized, independent deployment, modeled after the business domain, and more), and the tradeoffs usually involved when applied to microfrontends (dev/prod parity, interactivity, iframes, developer experience)
– Docker and Kubernetes/Helm fundamentals – the purpose of each tool and how they complement each other
– A minimal but concrete example of how to implement a microfrontends architecture on their local machine with Docker and Kubernetes
– How to migrate to this type of architecture in a gradual way and what’s involved in deploying this architecture to production EVENT: JS Kongress 2019 SPEAKER: Monica Lent PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). ATTRIBUTION CREDITS: Original video source: https://www.youtube.com/watch?v=ZuzSEQGE9qM&t=61s https://www.youtube.com/watch?v=Td7w0_nD5_4

Python as a language has enjoyed a decade of usage in both industry and academia. It has been the most popular abstractions to scientific computing and machine learning, yet the base remains single-threaded. Just how is productivity in these fields being maintained with a single-threaded language? "Python has a terrible reputation when it comes to its parallel processing capabilities. Ignoring the standard arguments about its threads and the GIL (which are mostly valid), the real problem with parallelism in Python isn't a technical one, but a pedagogical one. The common tutorials surrounding Threading and Multiprocessing in Python, while generally excellent, are pretty “heavy.” They start in the intense stuff and stop before they get to the really good, day-to-day useful parts. The talk will highlight the impact of Global Interpreter Lock on multithreaded programs and include code snippets to compare single and multithreaded programs using a real life example. Then, we move on to the concept of multiprocessing and the address its benefits over multithreading and mention some examples for it. The talk will end with an application of multiprocessing in the area of Computer Vision and how it speeds up the completion of a task by 82%. Moreover this talks aims to inspire both novices and experts to look more into this subject and create something that could possibly be of benefit to the entire python community around the world." EVENT: Kiwi Pycon X 2019 SPEAKER: My name is Rounak Vyas, I’m currently a junior at SRM University Chennai, India. I’m majoring in Information Technology. I’m a student researcher at Next Tech Lab and also a member of the Artificial Intelligence Research Team in the Association of Computing Machinery – SRM Chapter. My area of research involves working with computer vision models and multi-agent reinforcement learning, I’ve been a speaker at two Tech conferences in India: PyData KTR and ChennaiPy, talking about the parallel processing capabilities of python. PUBLICATION PERMISSIONS: Original video was published with the Video licence: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/) ATTRIBUTION CREDITS: Original video source: https://www.youtube.com/watch?v=VwE49XvrGx0 https://www.youtube.com/watch?v=QRF1637j6NU

In this episode, Robert is joined by Ed Charbeneau. Ed was on Toolbox last fall introducing us to Blazor, a framework for building interactive client-side web UI using C# instead of JavaScript. Ed returns to share and answer some of the most frequently asked questions he receives when showing folks Blazor. SPEAKER: Ed Charbeneau PUBLICATION PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). ATTRIBUTION CREDITS: Original video source: https://www.youtube.com/watch?v=KlPaM0yWWbQ https://www.youtube.com/watch?v=3duXMxwnkXI