The brand new view transition API is hot right now, sveltekit recently added a way to interact with it and while really powerful it's pretty low level. But what if there was a better way?

The brand new view transition API is hot right now, sveltekit recently added a way to interact with it and while really powerful it's pretty low level. But what if there was a better way?

Sunil Pai is Founder and CEO of Partykit, a London based startup for building realtime, collaborative applications.

Ditto.live is one of the leading local-first software platforms. In this talk, Senior Distributed Systems Engineer and CRDT wrangler Russell Brown shows how Ditto replicates data by syncing differences in state.

A quick load up on what local-first software is, why it's cool and how it works.

Pedro Diogo, Senior Technical Program Manager at The Graph Foundation, will go over The Graph's role as the indexing protocol in the web3 ecosystem. Pedro will cover how developers and data consumers are leveraging GraphQL to access open and public blockchain data. Pedro works closely with core developers of the protocol and technical ecosystem grantees helping build The Graph protocol.

Modeling, storing, and querying application data as a graph can help developers quickly get projects up and running by working with data the same way that we think about our domain: as a graph. In this talk we will explore how to apply this graph thinking technique to building GraphQL APIs using the Neo4j GraphQL Library and how we can leverage developer tools to go from idea to backend with nothing but graphs and GraphQL.

We currently worked with an API that had to scale to serve multiple regions and millions of users. Introducing caching for such numbers is a common and battle-tested way to reduce costs. With services like Stellate, this is no longer impossible even when using GraphQL.

That is great news, however, also poses some challenges. We need to pay attention to how structure our types so we can fully utilize caching.

How to rethink some GraphQL schema designs so we can have the best of the data-driven paradigm of GQL and have amazing caching capabilities at the same time?