Deep Dive: Mastering Full-stack

Durable Objects are a part of CloudFlare's long-term goal to expand application possibilities on workers, allowing for the building of scalable collaborative applications. Durable Objects provide a way to store global state and coordinate multi-client applications. They can be created as close to the user as possible and have unique IDs for routing requests. Durable Objects have a persistent storage API with strongly consistent semantics and IO gates to prevent correctness errors. They are well-suited for collaborative applications and can be used with WebSockets. Performance impact and read replicas are considerations for accessing Durable Objects globally.

Microfrontends follow the microservices paradigm and observability is crucial for debugging runtime production issues. Error boundaries and tracking errors help identify and resolve issues. Automation of alerts improves incident response. Observability can help minimize the time it takes to understand and resolve production issues. Catching errors from the client and implementing boundaries can be done with tools like OpenTelemetry.

Welcome to this session on Lambda Developer Experience. Learn about using AWS Cloud Development Kit (CDK) to write code in your favorite language and automatically generate CloudFormation templates. Test locally with the SAM CLI and deploy with CDK. Accelerate testing and updates with CDK flags. Use the AWS Toolkit to invoke Lambda functions, analyze logs, and generate code with Application Composer.

Welcome to my session on Serverless for Front-ends. Serverless functions eliminate the need for a runtime and handle orchestration for you. Microfrontends require a runtime and orchestration, but side-less UIs provide a runtime-free solution. In the demo, a new team adds functionality to an application and publishes it easily. Building and deploying applications is quick and easy with micro apps and PowerCLI, offering true loose coupling and instant availability without a runtime.

Remix and Prisma enable front-end developers to become full-stack developers by working across different parts of the stack without diving into complexities. They provide a great framework for writing code and interacting with databases, making it easier to be a full-stack developer. Prisma's ORM allows mapping database models to JavaScript or JSON models. Developing a full stack app with Remix requires structuring components and loaders differently, but simplifies development by focusing on one place.

This talk discusses working with databases on the Edge, the challenges of serverless and databases, and the challenges of working with databases on the Edge. It explores solutions such as using proxy connections and globally replicated data stores. The talk also highlights the use of Prisma for caching data and the considerations for edge migration. Additionally, it mentions the caching strategy with SWR and the availability of edge solutions for caching.

I'm going to be talking about modern databases in the React ecosystem. The development work used to be simple, with front-end and backend developers working separately. However, with the rise of Node.js and full stack frameworks like Next.js, the ecosystem has evolved. Now, front-end developers are often writing back-end code, and databases have become a crucial component. In this talk, we'll explore the modern solutions and their strengths when it comes to databases. We'll discuss the changes in the databases world and how React and other frameworks have made accessing databases easier. Serverless databases simplify the complexity of managing databases, but there are considerations like vendor lock-in and limited customization options. AI databases with vector functionality provide deeper searches on unstructured data. Multimodal databases like SurrealDB allow for different kinds of data in one storage. Tools like Prisma, Drizzle, and EdgeDB provide good type safety and ease of use. EdgeDB is a graph relational database that combines SQL and GraphQL, making querying relations easier. Database selection is not permanent, and it's important to consider user needs and stay informed about modern trends. Early adoption of cutting-edge databases comes with risks, but also full-time support. Using the best tool for the job is crucial, and trying new tricks for specific data is recommended.