#server cache

Introduction to Cache Components in Next.js 16, transforming the app router with new features like partial pre-rendering, Dynamic I.O., and caching directives. Deep dive into static params generation in Next.js focusing on changes in generating static params for improved performance. Exploring challenges of generating static params and balancing static vs. dynamic rendering for better performance. Addressing challenges with cache components, optimizing static and dynamic rendering for improved performance. Understanding impact of parameters on rendering with cache components, managing dynamic components, and introducing suspense boundaries for faster page loads. Enhancing cache life APIs, introducing a new caching model for static outputs in Next.js. Revolutionizing cache management with granular control over cache lifetimes and dynamic segment configuration. Navigating data and caching in Next.js, exploring cache components guidance and caching differences between server and client components.

This Talk discusses handling local state in software development, particularly when dealing with asynchronous behavior and API requests. It explores the challenges of managing global state and the need for actions when handling server data. The Talk also highlights the issue of fetching data not in Vuex and the challenges of keeping data up-to-date in Vuex. It mentions alternative tools like Apollo Client and React Query for handling local state. The Talk concludes with a discussion on GitLab going public and the celebration that followed.

Today's Talk focuses on GraphQL caching and improving performance using Fastify and Mercurius. The experiment involves federated services, resolver caching, and load testing with AutoCANON. Enabling caching with a 0 second TTL can increase throughput by 4 times. The AsyncCacheDedupe module allows for efficient caching and avoiding unnecessary computations. Redis pipelining has improved requests per second by 100 times. Cache invalidation is an ongoing topic of development.

Max Stoiber, co-founder of GraphCDN, discusses the challenges faced with RethinkDB and the need for caching in a read-heavy API. He explores how GraphQL clients handle caching and the potential of running a GraphQL client at the edge for faster response times. Authorization and cache key management at the edge are also discussed, along with the benefits of edge-caching and the importance of caching in GraphQL APIs. The audience response reveals that a significant percentage are already caching their APIs, while different use cases for caching and the concept of edge computing are explained.