Collaborative applications and how to make them fast
from appflowy.io (Poland)
About speaker
OSS contributor for over 10 years. Co-creator of Yrs: a library for building collaborative applications. In the past: core team member of Akka.NET and F# GraphQL Server.
About speakers company
Appflowy I an open source alternative to knowledge base management systems like notion. It comes with free self-hosting server deplyment (alongside our comercial public cloud option) and native client apps, capable of enchancing users with AI features and collaborative document edition even without an Internet access.
Abstracts
As the remote work is gaining popularity, so are the applications allowing multiple people to collaborate together in responsive manner. While some well-known tools like Google Docs have kept their status, we're would like to embed similar features into our own products, which would also allow us to work offline, in remote areas, on the data that we own on our personal computers and have full control over.
During this session we'll cover how to make these promises a reality, understand their inner workings and what challenges can we expect. We'll also gain some intuition to consciously deal with trade-offs of local-first software and P2P systems, compared to more traditional service-oriented architectures.
Focus on our talk will be on how to design and implement algorithms that make a same-document collaboration possible, even when we accept that users may work offline for prolonged periods of time. For that we'll go over challenges, tradeoffs and optimizations that make our approach scale in real-life scenarios.
As the point of reference, we'll use Yjs/Yrs, which are one of the most widely used libraries for building collaborative applications on that field, used currently in products such as Evernote and Jupyter Notebooks.
The Program Committee has not yet taken a decision on this talk
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