#cloud

Build serverless functions in TypeScript, and then compile them to WebAssembly (Wasm) to be run in the cloud. This is a different model than the original Wasm design suggested, but it is proving to be a powerful concept. In this talk, we dive into the background of Wasm, then look at its broader applications before examining a novel way of building TypeScript code into a Wasm binary for execution in the cloud.

While the technology goes further and further, web development tries to get closer to the user. CDNs and web servers are evolving, and they now offer us the possibility to execute server-side logic without depending on a unique data center located in a specific place in the world. Let’s present the concept of The Edge. We will see how it works, and we’ll talk about Edge Functions. We’ll discuss why the main hosting providers are introducing this technology, and why different JavaScript frameworks are modeling their approaches based on Edge computing.

Building search into applications can be quite easy. This talk has been really fun for audiences because I often get audience members involved, often building out the code themselves, while they try to stump each other by naming the hardest things to find. The application is hosted in a Code Sandbox, so the audience takes the code home with them. Also, I can do the same presentation with movies, if the organizers prefer.

Scaling and maintaining applications can be a pain, especially when thinking of how to build to get the user experience to a level that you are proud of. With all these shifting parts to consider, it is important to abstract parts of your applications to global reliable services. In this talk, we will discuss some of the services that Cloudflare provides, and the role they play in improving the overall developer and user experience.

Serverless technologies help us build better and more scalable applications in the cloud. It's a powerful paradigm that allows us to focus on creating business values and letting the cloud provider handle the undifferentiated heavy-liftings such as managing the underlying infrastructure. In this session, Yan Cui would take us through many of the lessons that he has learnt from running serverless workloads in production over the last five years, including development tips, testing and observability strategies, and much more.
You can check the slides for Yan's talk
here
.

One of the benefits of GraphQL is that it enables a single entry point into any number of back end service or databases. More and more companies are adopting cloud technologies – leading to more jobs, more money, and more opportunities in cloud computing. When GraphQL is integrated with a cloud back end, enabling secure and direct access to dozens of databases and managed services, the limitations are endless. The problem is often that building out these implementations from scratch, and getting them right, is hard. In this talk, I’ll show how you can build cloud-based GraphQL back ends connecting to multiple databases (SQL and NoSQL), serverless functions, machine learning services, and microservices using TypeScript, AppSync, and AWS CDK – and do so in fewer lines of code than you’d expect. We’ll also look at how subscriptions, security, caching, and authentication are all handled, enabling you to build APIs that can simultaneously connect to tens of millions of clients at once to offer true real-time applications at scale. By the end of the talk, you should feel comfortable knowing that you can become a cloud engineer using an existing GraphQL skillset.

In this talk I’ll show how we can use a combination of GraphQL SDL along with a new DSL (GraphQL Transform) created the Amplify team to build out a full stack cloud application directly from your GraphQL schema. Using this GraphQL DSL, we’ll walk through how to model a Database, authorization rules, relationships, and custom access patterns. We’ll look at how to rapidly prototype an example application, and view some demos including a voting app capable of handling over 100,000 operations per second.

GraphQL is being used in some really interesting ways in parts of the developer ecosystem that you may be surprised to hear about, including Ethereum as well as for building comprehensive graphs from various third party APIs. In this talk, I'll show how to use a similar approach to build a cloud programming interface into AWS with GraphQL and why using this approach makes sense coming from a front end developer looking to leverage their existing skillset.