Hello, my name is Gabriel. I work at auction.com and I'm going to be talking about how we improved the performance of GraphQL resolvers for our GraphQL service. We had a problem with our subscription deployment, where we were experiencing a high number of restarts due to memory allocation failures. This prompted us to investigate and optimize the memory consumption of our resolvers. To assess the performance, we set up a local environment with Kafka, Graph, and a client that connected 4000 WebSockets to Graph. After running the test, we found that we were only able to process and distribute 16 messages to our clients. Yay. The memory consumption graph showed peaks and valleys as messages were delivered. Three distinct phases were observed: idle, Sockets connected with no messages, and messages being processed. We decided to optimize the context, which contains request-specific information and backend details. Since subscriptions primarily involve sending Kafka messages, we realized that the message itself often has all the necessary information. Therefore, we only create backends when a call is made to them. We optimized our backend creation process using the proxy object, which allows us to create backends lazily only when they are accessed. This resulted in less memory consumption without changing the code or the schema. The less memory consumption is evident in the second phase of the recording, where the plateau formed from having multiple contexts is significantly lower. Most of the savings were achieved by reducing temporary objects and using native iterators instead of Lodash calls for converting key names to Snakecase. All of a sudden, the performance increased by 18%, resulting in increased memory consumption. Upgrading to newer versions of GraphQL Redis subscriptions did not have a significant impact on memory usage. However, optimizing the conversion of key names to snake case by using memoization improved computational efficiency. Our performance significantly improved after implementing snake case. However, memory consumption remained high. To address the memory leak, we introduced auto-scaling and restarted the service every night. Additionally, we optimized the code generation process to improve memory consumption. We explored using heap snapshots in Google Dev tools to analyze and reduce memory consumption. By identifying unnecessary objects and removing them, we were able to free up memory and improve performance. We patched the location object to improve performance and reduce memory consumption. We also optimized data loaders to avoid N+1 queries and improve efficiency.

We're going to talk about the age of universal React, the next paradigm shift of React. Universal React is cross-platform and follows the principle of learn once, write once, and run anywhere. React Native is born as a declarative way to build iOS and Android apps. React Native components and APIs are implemented in an interoperable way with React DOM, powering a large part of Twitter's web platform. Code sharing in a universal React app maximizes code reuse, reduces duplication, and allows platform optimization. React Native for Web is the compatibility layer that enables universal development, handling translations between React Native and React Dom. Expo is the framework of choice for React Native, with Expo Router V3 completing the universal story. Challenges in achieving parity with React Native Core due to specific platform implementations. React Strict DOM prioritizes web, bringing web APIs to React Native. Taking a universal React approach can improve performance across platforms. React Native Web and React Strict DOM prioritize performance and accessibility.

Hello, I'm Naman and today I'm going to talk about atomic power and the story of StylX. CSS preprocessors like Sass and Less emerged to address challenges with CSS. In the evolution of CSS, there was a fork in the road with some moving towards CSS modules and others towards CSS in JS. Atomic CSS is about breaking styles into small, reusable pieces. Tailwind is a successful implementation of atomic styles. Stylix is a JavaScript compiler that generates atomic CSS and allows for defining styles once and reusing them. The speaker demonstrates the conversion of a design to Tailwind classes using Stylix. The TW function and parser in StyleX are discussed for defining constants and converting them into StyleX objects. Atomic CSS is a widely agreed concept and Tailwind can be used with StyleX. The React Strict DOM project is mentioned as a tool for writing UIs for web and React Native.

Welcome to Beyond 1.0, a talk about scaling and maintaining design systems. A design system is a collection of reusable components, principles, constraints, and best practices governed by clear standards. We have expanded our design system over six and a half years to include over 70 components and support over 50 developers. To maintain a maintainable code base for your design system, enforce a singular code style across your entire code base through a linter. Use Next.js for a comprehensive and custom design system documentation site built with Markdown. We've improved our design system documentation by using react.gen typescript to dynamically parse out component props, allowing for more interactive and maintainable documentation.

Today's Talk focused on performance optimization in React apps, specifically in handling and rendering enormous amounts of data. The speaker discussed various techniques and tools to achieve better performance, such as optimizing data relay, rendering, data processing, memory usage, and denormalization. They also highlighted the importance of optimizing network performance, payload size, and request handling. The Talk emphasized the need to measure before optimizing, focus on bottlenecks, and make small improvements that actually benefit users. Overall, the Talk provided valuable insights and recommendations for improving performance in React apps.

Thank you all for welcoming me here. I am giving a remote talk on testing. The community here is warm and amazing. I hope Marin does well and we hope to see him soon. Six years ago, I joined a big tech company working on improving UX and UI. We released the UX improvement to 60 million users, but overlooked leveraging the design system. Recognizing the importance of the design system, I reached out to the design system manager to address the issue. I proposed solving meeting fatigue and defined my role as an internal developer advocate. Challenges in shipping code for developers and building credibility were discussed. The importance of fostering open communication, supporting users, and expanding workshops was emphasized. Continuing conversations through office hours and release demos improved adoption. Streamlining code updates and celebrating advocacy were key strategies. The speaker now runs a developer tools company called Tool Space.

My name is Aurora, a web developer from Norway. Today, I'll be teaching you how to elevate speed, interactivity, and user experience with React components. I'll be coding a project task manager and improving it using Next.js, Prisma, Azure SQL, and Tailwind CSS. We will review the code, starting with the important layout component. We will also learn how to improve navigation and data fetching, enhance visual stability and user experience, fix search functionality, and add category filters with loading states. Additionally, we will explore the use of React 19 hooks to enhance interactivity. Finally, we will optimize rendering and achieve improved Lighthouse scores for better performance. Overall, this Talk covers a range of techniques and tools to enhance React projects and deliver a better user experience.

Thank you for joining my session on untangling your dependencies. I encountered errors when trying to update dependencies in the project, leading to a tangled mess of issues. Managing dependencies can be like working with a ball of yarn, trying to knit a project. I'll share my favorite practices for managing dependencies and provide some background about myself. Leonardo da Vinci said, 'art is never finished, only abandoned,' and this applies to software as well. I'll share tricks and tips for managing complex dependency management systems and understanding different types of dependencies. Working with dependencies often comes with challenges, especially when using React Native. Examples of tools that assist with managing dependencies include yarn upgrade interactive, NPM check updates, and React Native upgrade helper. When encountering issues, breaking them down into smaller chunks helps find solutions. To tackle dependency issues, focus on one platform at a time and choose the right tools. Tools like NPM why and Clip can help identify unnecessary dependencies and unused files. Monorepos and tools like Yarn workspaces and npm shrinkwrap are useful for managing monorepos. Bleeding edge branches and dependency updates allow for incremental and broken commits. Regular updates are recommended to stay aligned with platform changes.

Hi, everyone. My name is Debbie O'Brien, Principal Technical PM at Microsoft. I'm focusing on Playwright, a reliable end-to-end testing tool for modern web apps. It works on any browser and platform, has powerful tooling, and tests run fast. Advanced techniques include UI mode, HTML reports, and trace viewer. Use annotations in Playwright to enhance reporting and test organization. Mocking API responses and external links is possible with Playwright. You can also test date and time by setting a fixed fake time. Playwright offers CLI test options and has a vibrant community. Join the Playwright Discord server and follow the important docs and YouTube channel for more information.

React Query is a popular library with significant weekly downloads and positive user sentiment. It may have trade-offs like bundle size, but the actual size shipped is smaller. Bundle size optimization can be achieved by exporting only necessary features. React Query's declarative approach eliminates the need for custom data fetching solutions. It offers caching, request duplication, background updates, and more. RackQuery doesn't support normalized caching, but refetching after invalidation works fine. React's vision includes suspense architecture and server components. The documentation could be improved with a more structured flow. TensorStack Query can be a good choice for Next.js apps, but not necessary with mature frameworks. The 10 stack query and router concepts were discussed. Combining React Query with HTTP caching provides a robust caching solution.