Writing efficient embedded applications have until recently required using C or C++ and adopting a specific Real Time Operating System (RTOS) or project for building and maintaining the application. Moreover, writing safe code is hard when the compiler cannot detect data races or other unsafe situations in your code. This workshop will give an introduction to the the Rust embedded ecosystem and why it is a great alternative for embedded. After the introduction, we will explore the anatomy of a Rust embedded application, and the tooling that allows you to write Rust applications targeting embedded similar to regular applications. Using a development kit from STMicroelectronics, we continue by running our application on the device and sending sensor data to the cloud. Once the basic application is running, we will extend the application to show the development cycle, including testing, for a Rust embedded application. Code: https://github.com/lulf/devconf2022 PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=pgG95y0hBDc https://www.youtube.com/watch?v=7eRRrEGL4H4

You can deploy your applications to Kubernetes; that's great! You can have pipelines and a breadth of tools to do analysis, etc. But what about how you develop and what you develop, and finally, how you interact with applications deployed in Kubernetes while in the development inner loop. How can that be done easier, simpler, faster? Java has been there for a long time, and all of us have ways to develop applications and tools that we all love. So how does Quarkus do any of this differently? Live coding, adding functionality, extensions without restarting, spinning up dev services e.g., databases, making coding and testing easier and continuous, enhancing the inner loop, etc. In this talk, I will create an application from scratch with Quarkus, add databases to it, add a front-end, stream etc. And finally, work with it while it's deployed in Kubernetes using my dev machine and effectively live code remotely. Join this talk to learn about the Java developers journey to developer Joy! PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=WzO93lPJXhw&t=23s https://www.youtube.com/watch?v=pA1UaFH9mMY

Check out William Lyon's book 📖 Full Stack GraphQL Applications | http://mng.bz/NxO2 📖 DISCOUNT CODE ⭐ watchlyon40 ⭐ In this talk, William Lyon discusses the Neo4j GraphQL Library and how to get started with it, as well as issues that arise when building GraphQL APIs. The video covers how to translate business requirements to a graph data model and how to design our API using GraphQL type definitions, creating a CRUD GraphQL API using the Neo4j GraphQL Library, adding custom logic using the Cypher schema directive, and securing our API using authorization rules. 📚📚📚
Full Stack GraphQL Applications | http://mng.bz/NxO2
To save 40% off this book use discount code: watchtlyon40 📚📚📚 About the author:
William Lyon is a software developer at Neo4j, working on integrations with other technologies and helping users build applications with Neo4j. He is the creator and maintainer of neo4j-graphql.js, a JavaScript library for creating GraphQL APIs, and is a contributor to GRANDstack.io. He serves as Neo4j’s representative on the GraphQL Foundation. About the book:
Full Stack GraphQL Applications teaches you to leverage the power of GraphQL to create modern APIs that streamline data loads by allowing client applications to selectively fetch only the data required. GRANDstack.io contributor and GraphQL Foundation member William Lyon teaches you everything you need to know to design, deploy, and maintain a GraphQL API from scratch and create graph-aware fullstack web applications. In this project-driven book, you’ll build a complete business reviews application using the cutting-edge GRANDstack, learning how the different parts fit together. Chapter-by-chapter, you’ll master creating a GraphQL service with Apollo Server, modelling a GraphQL API with GraphQL type definitions, installing the Neo4j Database on different platforms, and more. By the time you’re done, you’ll be able to deploy all of the components of a serverless fullstack application in a secure and cost-effective way that takes full advantage of GraphQL’s performance capabilities. Along the way, you’ll also get tips for applying these techniques to other stacks. https://www.youtube.com/watch?v=wZyAnz0fFfk