From fcc348e38fdd927d8e1bd8ef36185f8d201d580d Mon Sep 17 00:00:00 2001 From: jgoteam Date: Thu, 18 Apr 2024 15:03:01 -0700 Subject: [PATCH 01/13] feat: basic landing page skeleton - Incorporate fade-in scroll effect on landing page with `useIsVisible` hook and `FadeInSection` component - Insert initial CLI gif Co-authored-by: Alex Sklar Co-authored-by: Erik Margetis --- blog/2019-05-28-first-blog-post.md | 12 -- blog/2019-05-29-long-blog-post.md | 44 ----- blog/2021-08-01-mdx-blog-post.mdx | 20 -- .../docusaurus-plushie-banner.jpeg | Bin 96122 -> 0 bytes blog/2021-08-26-welcome/index.md | 25 --- blog/authors.yml | 17 -- docs/index.md | 1 + docusaurus.config.js | 6 +- .../HomepageFeatures/FadeInSection.jsx | 20 ++ src/components/HomepageFeatures/index.js | 172 ++++++++++++------ src/hooks/useIsVisible.js | 18 ++ src/pages/case-study.mdx | 4 + src/pages/index.js | 6 +- static/img/syncosaurus-deploy.gif | Bin 0 -> 27096 bytes 14 files changed, 163 insertions(+), 182 deletions(-) delete mode 100644 blog/2019-05-28-first-blog-post.md delete mode 100644 blog/2019-05-29-long-blog-post.md delete mode 100644 blog/2021-08-01-mdx-blog-post.mdx delete mode 100644 blog/2021-08-26-welcome/docusaurus-plushie-banner.jpeg delete mode 100644 blog/2021-08-26-welcome/index.md delete mode 100644 blog/authors.yml create mode 100644 src/components/HomepageFeatures/FadeInSection.jsx create mode 100644 src/hooks/useIsVisible.js create mode 100644 static/img/syncosaurus-deploy.gif diff --git a/blog/2019-05-28-first-blog-post.md b/blog/2019-05-28-first-blog-post.md deleted file mode 100644 index 02f3f81..0000000 --- a/blog/2019-05-28-first-blog-post.md +++ /dev/null @@ -1,12 +0,0 @@ ---- -slug: first-blog-post -title: First Blog Post -authors: - name: Gao Wei - title: Docusaurus Core Team - url: https://github.com/wgao19 - image_url: https://github.com/wgao19.png -tags: [hola, docusaurus] ---- - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet diff --git a/blog/2019-05-29-long-blog-post.md b/blog/2019-05-29-long-blog-post.md deleted file mode 100644 index 26ffb1b..0000000 --- a/blog/2019-05-29-long-blog-post.md +++ /dev/null @@ -1,44 +0,0 @@ ---- -slug: long-blog-post -title: Long Blog Post -authors: endi -tags: [hello, docusaurus] ---- - -This is the summary of a very long blog post, - -Use a `` comment to limit blog post size in the list view. - - - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. Lorem ipsum dolor sit amet - -Lorem ipsum dolor sit amet, consectetur adipiscing elit. Pellentesque elementum dignissim ultricies. Fusce rhoncus ipsum tempor eros aliquam consequat. 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features](https://docusaurus.io/docs/blog) are powered by the [blog plugin](https://docusaurus.io/docs/api/plugins/@docusaurus/plugin-content-blog). - -Simply add Markdown files (or folders) to the `blog` directory. - -Regular blog authors can be added to `authors.yml`. - -The blog post date can be extracted from filenames, such as: - -- `2019-05-30-welcome.md` -- `2019-05-30-welcome/index.md` - -A blog post folder can be convenient to co-locate blog post images: - -![Docusaurus Plushie](./docusaurus-plushie-banner.jpeg) - -The blog supports tags as well! - -**And if you don't want a blog**: just delete this directory, and use `blog: false` in your Docusaurus config. diff --git a/blog/authors.yml b/blog/authors.yml deleted file mode 100644 index bcb2991..0000000 --- a/blog/authors.yml +++ /dev/null @@ -1,17 +0,0 @@ -endi: - name: Endilie Yacop Sucipto - title: Maintainer of Docusaurus - url: https://github.com/endiliey - image_url: https://github.com/endiliey.png - -yangshun: - name: Yangshun Tay - title: Front End Engineer @ Facebook - url: https://github.com/yangshun - image_url: https://github.com/yangshun.png - -slorber: - name: Sébastien Lorber - title: Docusaurus maintainer - url: https://sebastienlorber.com - image_url: https://github.com/slorber.png diff --git a/docs/index.md b/docs/index.md index f06e3b3..bd76b7f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,5 +1,6 @@ --- slug: / +title: Introduction sidebar_position: 1 --- diff --git a/docusaurus.config.js b/docusaurus.config.js index 6a3ac24..f21b97f 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -7,8 +7,6 @@ import 'dotenv/config' import { themes as prismThemes } from 'prism-react-renderer' import tailwindPlugin from './plugins/tailwind-config.cjs' -import remarkMath from 'remark-math' -import rehypeKatex from 'rehype-katex' /** @type {import('@docusaurus/types').Config} */ const config = { @@ -53,9 +51,7 @@ const config = { sidebarPath: './sidebars.js', sidebarCollapsed: false, }, - blog: { - showReadingTime: true, - }, + blog: false, theme: { customCss: './src/css/custom.css', }, diff --git a/src/components/HomepageFeatures/FadeInSection.jsx b/src/components/HomepageFeatures/FadeInSection.jsx new file mode 100644 index 0000000..f8e5034 --- /dev/null +++ b/src/components/HomepageFeatures/FadeInSection.jsx @@ -0,0 +1,20 @@ +import { useRef } from 'react'; +import useIsVisible from '@site/src/hooks/useIsVisible' + +const FadeInSection = ({ children }) => { + const sectionRef = useRef(); + const isVisible = useIsVisible(sectionRef); + + return ( +
+ {children} +
+ ); +} + +export default FadeInSection; diff --git a/src/components/HomepageFeatures/index.js b/src/components/HomepageFeatures/index.js index 67625be..998861f 100644 --- a/src/components/HomepageFeatures/index.js +++ b/src/components/HomepageFeatures/index.js @@ -2,63 +2,127 @@ import clsx from 'clsx' import Heading from '@theme/Heading' import styles from './styles.module.css' -const FeatureList = [ - { - title: 'Easy to Use', - Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default, - description: ( - <> - Docusaurus was designed from the ground up to be easily installed and - used to get your website up and running quickly. - - ), - }, - { - title: 'Focus on What Matters', - Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default, - description: ( - <> - Docusaurus lets you focus on your docs, and we'll do the chores. Go - ahead and move your docs into the docs directory. - - ), - }, - { - title: 'Powered by React', - Svg: require('@site/static/img/undraw_docusaurus_react.svg').default, - description: ( - <> - Extend or customize your website layout by reusing React. Docusaurus can - be extended while reusing the same header and footer. - - ), - }, -] - -function Feature({ Svg, title, description }) { - return ( -
-
- -
-
- {title} -

{description}

-
-
- ) -} +import FadeInSection from './FadeInSection' export default function HomepageFeatures() { return ( -
-
-
- {FeatureList.map((props, idx) => ( - - ))} + <> + +
+
+
+
+
+ image +
+
+
+
+
+

+ Awesome CLI tool +

+

+ A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application +

+
+
+
+
+
+
+ + +
+
+
+
+
+ image +
+
+
+
+
+

+ Awesome CLI tool +

+

+ A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application +

+
+
+
+
+
+
+ + +
+
+
+
+
+ image +
+
+
+
+
+

+ Awesome CLI tool +

+

+ A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application +

+
+
+
+
+
+
+ + +
+
+
+
+
+ image +
+
+
+
+
+

+ Awesome CLI tool +

+

+ A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application +

+
+
+
+
+
-
-
+ + ) } diff --git a/src/hooks/useIsVisible.js b/src/hooks/useIsVisible.js new file mode 100644 index 0000000..7fa1fb7 --- /dev/null +++ b/src/hooks/useIsVisible.js @@ -0,0 +1,18 @@ +import { useEffect, useState } from 'react'; + +export default function useIsVisible(ref) { + const [isIntersecting, setIntersecting] = useState(false); + + useEffect(() => { + const observer = new IntersectionObserver(([entry]) => { + setIntersecting(entry.isIntersecting); + }) + + observer.observe(ref.current); + return () => { + observer.disconnect(); + } + }, [ref]) + + return isIntersecting; +} diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index faeafbf..88c8ed1 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -1,3 +1,7 @@ +--- +title: Case Study +--- + import Dia2ClientChangesSync from './diagrams/Dia2ClientChangesSync.jsx' import LatencySlider from '@site/src/components/LatencySlider/LatencySlider' diff --git a/src/pages/index.js b/src/pages/index.js index 8a01dc4..487f78a 100644 --- a/src/pages/index.js +++ b/src/pages/index.js @@ -30,12 +30,8 @@ function HomepageHeader() { } export default function Home() { - const { siteConfig } = useDocusaurusContext() return ( - +
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++++++----------------- src/pages/index.js | 2 +- static/img/dashboard_screenshot.png | Bin 0 -> 127233 bytes 3 files changed, 18 insertions(+), 55 deletions(-) create mode 100644 static/img/dashboard_screenshot.png diff --git a/src/components/HomepageFeatures/index.js b/src/components/HomepageFeatures/index.js index 998861f..0fcf762 100644 --- a/src/components/HomepageFeatures/index.js +++ b/src/components/HomepageFeatures/index.js @@ -8,13 +8,13 @@ export default function HomepageFeatures() { return ( <> -
-
+
+
image @@ -24,11 +24,8 @@ export default function HomepageFeatures() {

- Awesome CLI tool + A synchronization engine based on server reconciliation

-

- A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application -

@@ -37,39 +34,20 @@ export default function HomepageFeatures() {
-
-
+
+
-
- image -
-
-
-
+

- Awesome CLI tool + A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application

-

- A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application -

-
-
-
- - -
-
-
-
+
+
-
-
-
-

- Awesome CLI tool -

-

- A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application -

-
-
-
-
-
+
+
-
+
image
-
+

- Awesome CLI tool + An analytics dashboard to monitor your collaborative application's usage and error metrics

-

- A convenient CLI tool to seamlessly create, configure, manage, and deploy your collaborative application -

diff --git a/src/pages/index.js b/src/pages/index.js index 487f78a..4ecbf70 100644 --- a/src/pages/index.js +++ b/src/pages/index.js @@ -11,7 +11,7 @@ import styles from './index.module.css' function HomepageHeader() { const { siteConfig } = useDocusaurusContext() return ( -
+

{siteConfig.title}

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-0700 Subject: [PATCH 03/13] style: rounded navbar + hero section with minimal transparency effect Co-authored-by: Alex Sklar Co-authored-by: Erik Margetis --- docusaurus.config.js | 12 +++++---- package-lock.json | 1 + package.json | 1 + src/css/custom.css | 21 +++++++++++++++ src/pages/index.js | 41 +++++++++++++++++++++++++----- static/img/logo_transparent.png | Bin 0 -> 45553 bytes static/img/outlink.svg | 1 + static/img/scroll-down-arrow.png | Bin 0 -> 225 bytes static/img/syncosaurus-deploy.gif | Bin 27096 -> 26593 bytes 9 files changed, 66 insertions(+), 11 deletions(-) create mode 100644 static/img/logo_transparent.png create mode 100644 static/img/outlink.svg create mode 100644 static/img/scroll-down-arrow.png diff --git a/docusaurus.config.js b/docusaurus.config.js index f21b97f..4036d36 100644 --- a/docusaurus.config.js +++ b/docusaurus.config.js @@ -12,7 +12,7 @@ import tailwindPlugin from './plugins/tailwind-config.cjs' const config = { title: 'Syncosaurus', tagline: - 'Syncosaurus is a React-and-Javascript-based framework for building real-time, collaborative React applications backed by the Cloudflare edge network of Workers and Durable Objects.', + "A performant, collaborative, real-time Javascript framework that enables developers to focus on their application's features and business logic, instead of the complexities of state synchronization and conflict resolution.", favicon: 'img/favicon.ico', // Set the production url of your site here @@ -62,8 +62,6 @@ const config = { themeConfig: /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ ({ - // Replace with your project's social card - image: 'img/docusaurus-social-card.jpg', navbar: { title: 'Syncosaurus', logo: { @@ -76,7 +74,7 @@ const config = { { type: 'doc', label: 'Docs', docId: 'index', position: 'right' }, { to: 'https://github.com/syncosaurus', - label: 'GitHub', + label: 'Github', position: 'right', }, ], @@ -97,9 +95,13 @@ const config = { to: '/case-study', }, { - label: 'Team', + label: 'The Team', to: '/team', }, + { + label: 'Docs', + to: '/docs', + }, { label: 'GitHub', to: 'https://github.com/syncosaurus', diff --git a/package-lock.json b/package-lock.json index b81d395..31fbad9 100644 --- a/package-lock.json +++ b/package-lock.json @@ -8,6 +8,7 @@ "name": "syncosaurus-github-io", "version": "0.0.0", "dependencies": { + "@babel/plugin-syntax-jsx": "^7.24.1", "@docusaurus/core": "3.2.1", "@docusaurus/preset-classic": "3.2.1", "@emotion/styled": "^11.11.5", diff --git a/package.json b/package.json index 0f17bc3..51257d0 100644 --- a/package.json +++ b/package.json @@ -14,6 +14,7 @@ "write-heading-ids": "docusaurus write-heading-ids" }, "dependencies": { + "@babel/plugin-syntax-jsx": "^7.24.1", "@docusaurus/core": "3.2.1", "@docusaurus/preset-classic": "3.2.1", "@emotion/styled": "^11.11.5", diff --git a/src/css/custom.css b/src/css/custom.css index f8c5762..c996558 100644 --- a/src/css/custom.css +++ b/src/css/custom.css @@ -33,6 +33,27 @@ --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); } +#hero-landing { + width: 99.5%; + align-self: center; +} + +.navbar { + width: 99.5%; + align-self: center; + background-color: white; + opacity: 90%; + outline: none; + border-bottom-right-radius: 1.5rem; /* 24px */ + border-bottom-left-radius: 1.5rem; /* 24px */ + box-shadow: 0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1); + font-weight: bold; +} + +.navbar__items { + font-weight: bold; +} + .col--2 { --ifm-col-width: calc(20%); } diff --git a/src/pages/index.js b/src/pages/index.js index 4ecbf70..c424e83 100644 --- a/src/pages/index.js +++ b/src/pages/index.js @@ -4,28 +4,57 @@ import useDocusaurusContext from '@docusaurus/useDocusaurusContext' import Layout from '@theme/Layout' import HomepageFeatures from '@site/src/components/HomepageFeatures' import Puzzle from '@site/src/components/Puzzle' +import { useState, useEffect } from 'react' import Heading from '@theme/Heading' import styles from './index.module.css' function HomepageHeader() { + const [scrollDownArrowDisplay, setScrollDownArrowDisplay] = useState('block') + + const setScroll = () => { + const displayValue = + window.scrollY / document.body.scrollHeight < 0.05 ? 'block' : 'none' + setScrollDownArrowDisplay(displayValue) + } + + useEffect(() => { + window.addEventListener('scroll', setScroll) + return () => { + window.removeEventListener('scroll', setScroll) + } + }, []) + const { siteConfig } = useDocusaurusContext() + return ( -
+ // rounded-2xl bg-indigo-50 py-10 overflow-hidden m-5 lg:m-0 2xl:py-16 xl:py-8 lg:rounded-tl-2xl lg:rounded-bl-2xl +

{siteConfig.title}

-

+

{siteConfig.tagline}

-
+
- Read the case study + Read Case Study
-
+
+ +
+
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20 Apr 2024 17:49:59 -0500 Subject: [PATCH 04/13] feat (case-study): initial conversion of case study to markdown Co-authored-by: Alex Sklar Co-authored-by: Franco Waisfeld Co-authored-by: Joseph Liang --- src/pages/case-study.mdx | 548 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 548 insertions(+) diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index 6d692d9..f0f37a9 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -52,3 +52,551 @@ On the surface, building real-time collaborative applications may not seem any d + +# Overview + +- Syncosaurus is a React-Javascript developer framework for rapidly building browser-based real-time, collaborative web applications +- In this case study, we will: + - define real-time collaborative applications + - explain why real-time collaborative applications are not trivial to build + - compare existing solutions used to facilitate building collaborative applications, including Syncosaurus + - discuss how to use Syncosaurus + - explain how Syncosaurus was built + - discuss future improvements for Syncosaurus + +# Introduction + +## Defining Real-Time Collaboration Applications + +Broadly, real-time collaboration is a term used to describe software or technologies that allow multiple users to [work together on a project simultaneously](https://www.techopedia.com/definition/15608/real-time-collaboration). For our purposes, collaborative applications are browser-based web applications [that enable multiple users to simultaneously edit and maintain a synchronized view of an artifact](https://ably.com/blog/the-rise-of-realtime-collaboration) (e.g. a word document or an online whiteboard). + +With the rise of [remote work and distributed teams](https://medium.com/@anupamr/distributed-teams-are-the-new-cloud-for-startups-14240a9822d7), apps like these [are becoming critical in the modern work environment](https://northzone.com/2023/06/20/perspectives-the-rise-of-multiplayer-software/). Well-known examples include Google Docs, Figma, and Notion among others: + +[graphic here] + +While [a broader definition](https://www.microsoft.com/en-us/microsoft-365/business-insights-ideas/resources/real-time-collaboration-what-it-is-and-how-it-helps-your-business) of real-time collaboration applications can include video conferencing and messaging software, those types of applications have different technical requirements and will be excluded from the scope of this case study. + +## Preface on Architecture + +At a fundamental level when multiple users are “collaborating” on the same artifact, they are exchanging data to manipulate the synchronized view of the artifact. Practically, this means that all users who are collaborating on the artifact will need to exchange information back and forth in real-time via the open internet. Although there are numerous architectures for web applications, [they can broadly be categorized ](https://www.geeksforgeeks.org/difference-between-client-server-and-peer-to-peer-network/)into two categories: + +- Centralized +- Decentralized + +### Centralized + +Centralized includes the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally [authoritative](https://medium.com/mighty-bear-games/what-are-server-authoritative-realtime-games-e2463db534d1), meaning it is the source of truth. + +[graphic here] + +### Decentralized + +Decentralized includes the peer-to-peer architecture where every machine (known as a node) is treated equally and is responsible for sending for and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth + +[graphic here] + +Though [it is possible](https://www.tag1consulting.com/blog/yjs-webrtc-part-1) to build decentralized real-time collaboration web apps, decentralized architectures are notoriously complex. Instead [many existing real-time collaborative apps use a form of the client-server architecture](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) due to their comparative [efficiency and ease of maintenance](https://fwx.finance/learn/article/centralized-app-vs-dapp). Therefore, we will assume that any application considering Syncosaurus will be using a form of centralized architecture + +# Building Real-Time Collaborative Applications Is Not Trivial + +Initially, building real-time collaborative web apps may not seem different than building other web apps, however, if we break down each word of “real-time collaboration” into more concrete requirements, we quickly realize that is not the case + +## What Does Real-time Entail? + +### Defining Real-time + +Due to the laws of physics (e.g. the speed of light) and other causes of [network latency](https://aws.amazon.com/what-is/latency/), [true real-time](https://www.merriam-webster.com/dictionary/real%20time) on the internet can never be achieved. Therefore, real-time communication benchmarks for the Internet are often described in milliseconds - response times of up to [100 milliseconds](https://www.pubnub.com/blog/how-fast-is-realtime-human-perception-and-technology/) are usually categorized as real-time. The basis for this benchmark is a study that determined the average human requires [250 milliseconds](https://www.pubnub.com/blog/how-fast-is-realtime-human-perception-and-technology/) to register and process a visual event. + +### Importance of Real-time + +The need for real-time depends on the web application and generally apps that mirror in-person interaction or need rapid information sharing are strong candidates, including: + +- [Gaming](https://www.pubnub.com/blog/how-fast-is-realtime-human-perception-and-technology/) +- [Collaborative productivity and e-learning](https://www.mdpi.com/2079-9292/11/24/4152) +- [Video conferencing](https://21stcenturyav.com/good-latency-for-video-conferencing/) + +To illustrate this need and the impact latency can have on a user’s experience, use the demo below and notice how increased latency causes a noticeable delay in changing the red circle’s position to match the blue one: + +[graphic here] + +### Achieving Real-time Communication + +At the application layer of the internet, HTTP underpins much of the communication, however, it is designed around a request-response cycle pattern which is not necessarily conducive to real-time latency standards given that a roundtrip from client to server is required for all communication. Therefore, since the type of real-time collaboration applications we are considering uses a client-server architecture, need [bi-directional communication](https://en.wikibooks.org/wiki/Communication_Networks/Network_Basics) due to sub 100 ms latency requirements, and need [high data integrity](https://ably.com/topic/webrtc-vs-websocket#:~:text=While%20WebSocket%20works%20only%20over,the%20underlying%20reliability%20of%20TCP) to ensure all users see the same view, only a few communication options ([among several](https://rxdb.info/articles/websockets-sse-polling-webrtc-webtransport.html)) merit our consideration: + +- Long polling +- WebSockets +- WebTransport + +Note that using [streams over HTTP/2](https://getstream.io/blog/communication-protocols/) was also considered due to its bi-directional nature and built-in multiplexing, however, the need to broadcast data to multiple clients in real-time collaborative apps (which we will discuss later) made them unsuitable for our purposes + +#### Long Polling + +Long polling is a technique to emulate server push communications via normal HTTP requests. Long polling works like this: + +[graphic here] + +Although every browser supports long polling, it has high latency compared to other options such as WebSockets, and a risk of missing messages without extensive code on the client and server. Therefore, long polling [is generally better suited as a fallback option as opposed to a primary means of bi-directional communication](https://ably.com/topic/long-polling#:~:text=HTTP%20long%20polling%20solves%20the,make%20requests%20and%20servers%20respond.) + +#### WebSockets + +[WebSockets](https://developer.mozilla.org/en-US/docs/Web/API/WebSocket?retiredLocale=de) is an application layer protocol that provides a [full-duplex](https://www.comms-express.com/infozone/article/half-full-duplex/) communication channel over a single, long-lived connection between the client and server. This means that similar to a phone call, the connection from the client to the server will stay open as long the network is not interrupted and neither the client nor the server actively terminates it. This open connection enables clients and servers to freely exchange data without the overhead of the HTTP request-response cycle, but because it is built on top of [TCP](https://www.ibm.com/docs/ro/aix/7.1?topic=protocols-transmission-control-protocol), it still has guaranteed in-order message delivery. WebSockets work like this: + +[graphic here] + +Once the handshake is complete, the WebSocket connection is established and both parties are now free to transmit data at any time + +Overall, Websockets are [low latency compared to HTTP](https://ably.com/topic/websockets-pros-cons) and [are widely supported in modern browsers](https://caniuse.com/websockets), though they can be somewhat tricky to scale and maintain in production because the connections [have to remain open and there is a risk of message loss when connections are interrupted](https://ably.com/topic/websockets-pros-cons) + +#### WebTransport + +WebTransport is an application layer protocol built on the [QUIC protocol, a more performant alternative to TCP](https://ably.com/blog/can-webtransport-replace-websockets) that still provides the benefits of guaranteed message delivery, with the performance of UDP. The WebTransport process works very similarly to WebSockets, however, the [handshake process](https://www.fastly.com/blog/quic-handshake-tls-compression-certificates-extension-study) is quicker. Unlike WebSockets though, WebTransport provides [multiplexing](https://en.wikipedia.org/wiki/Multiplexing), [which can decrease latency](https://www.videosdk.live/blog/websocket-vs-webtransport#what-is-websocket) and reduce [head-of-line blocking](https://en.wikipedia.org/wiki/Head-of-line_blocking) concerns. + +While the characteristics of WebTransport make it seem like a strong [fit for real-time collaborative ](https://www.videosdk.live/blog/websocket-vs-webtransport#what-is-websocket)web apps, the technology has [yet to reach the same level of browser support as previously mentioned options](https://caniuse.com/webtransport). + +### Choosing A Technique + +With real-time collaborative apps requiring a communication option with low latency, bi-directional messaging, wide browser support, and minimal data loss, many developers, including us, opt to use WebSockets. Though, as noted Websockets are not without their concerns, which will be discussed later in the case study. + +Now that we have a more concrete definition of real-time communication latency requirements (< 100 milliseconds) and the communication options to enable that, we will seek to define collaboration. + +## What Does Collaboration Entail? + +As mentioned previously, when multiple clients are “collaborating” on the same artifact, they are exchanging data to manipulate the synchronized view of the artifact. This synchronized view is known as the application state - the data or variables that determine the application’s appearance or behavior and which is often referred to as the [“document”](https://diginomica.com/brief-history-collaborative-documents) in collaborative applications. + +To better illustrate the concepts of the current and subsequent sections in our case study, we will use a hypothetical example - a collaborative whiteboard application built using WebSockets. + +### Demonstrating Collaboration + +In our example whiteboard application, all users expect to simultaneously see the same shapes (i.e. a consistent application state) so that they can react and respond accordingly: + +[graphic here] + +If we assume the app is using a client-server architecture where the clients do not hold any state of their own (i.e. [thin clients](https://www.fortinet.com/resources/cyberglossary/thin-client)), the change-initiating client would need to wait until the change is received and confirmed by the server and then propagated to all clients before seeing the change reflected in its state. + +### Consistency vs Latency + +One may assume that because our application is using WebSockets, the information would travel fast enough to meet real-time latency requirements. However, depending on where the backend server(s) is located (among other factors), [the distance between the client and the server can increase latency](https://www.inkandswitch.com/local-first/#1-no-spinners-your-work-at-your-fingertips). Unfortunately, this latency can create a laggy user experience for the change-initiating client while it waits to communicate with the server (note that this discussion alludes to the inverse relationship between state consistency and latency which is described by the [PACELC theorem](https://www.scylladb.com/glossary/pacelc-theorem/)). Using our whiteboard example, you can see that the users have a different experience when latency is introduced: + +[graphic here] + +To increase consistency in our application, we will now explore [tools and techniques](https://developer.mozilla.org/en-US/docs/Web/Performance) to help us reduce latency. + +### Latency Reduction to Local Client-state + +When striving to reduce latency in real-time applications for the change-initiating client, some potential approaches include: + +- Using the edge network +- Tuning WebSocket messaging +- Updating the UI optimistically + +The edge network is a distributed computing paradigm that brings computation and data storage as close as possible to the client. While using the [edge network](https://www.heavy.ai/technical-glossary/edge-network) could be advantageous in reducing latency, it may involve overhauling the backend and could introduce [complexity and consistency concerns of its own](https://originstamp.com/blog/what-are-the-challenges-of-edge-computing/) due to its distributed nature. Therefore, it may not be our initial choice. + +Next, while [tuning our WebSocket messaging](https://pusher.com/blog/websockets-realtime-gaming-low-latency/#websockets-to-reduce-latency-and-ensure-smooth-gameplay) to be more performant could also help in reducing latency, this strategy reaches diminishing returns because there will always be at least some latency in the network. Therefore, it will only get us so far. + +Finally, [optimistically updating the client’s UI](https://javascript.plainenglish.io/what-is-optimistic-ui-656b9d6e187c#:~:text=An%20Optimistic%20User%20Interface%20is%20a%20design,a%20user%20performs%20an%20action%20(such%20as%E2%80%A6) (known as [client-side prediction](https://en.wikipedia.org/wiki/Client-side_prediction) in the gaming world) takes a different approach - instead of seeking to reduce actual latency, it seeks to reduce [perceived latency](https://developer.mozilla.org/en-US/docs/Learn/Performance/Perceived_performance) (i.e. how fast a website seems to the user), which as [demonstrated in product design](https://medium.com/@danielpidcock/actual-usability-vs-perception-of-usability-db236cd77bde) is often just as powerful. For our whiteboard application, this means the latency will still exist, but it will not be as apparent to the user. Optimistic UI works like this: + +[graphic here] + +An important implication of implementing optimistic UI is that each client has a local replica of the state that must be kept in sync with the server. Thus using it in our whiteboard app means that it now has distributed state. [Figma uses this same technique](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) - when a client opens a Figma design file, a copy of the document is sent from the server to the client and it must be kept in sync: + +[graphic here] + +However, as we’ll see in the next section, maintaining multiple copies of client state and a server state in the context of shared editing means conflicts can and will arise. + +### Inevitability of conflicts + +Since the advent of Google Docs, the ability for multiple clients to simultaneously edit a document has [become commonplace](https://diginomica.com/brief-history-collaborative-documents). However, simultaneous editing [invariably leads to shared state conflicts](https://rocicorp.dev/blog/ready-player-two) because multiple clients can make changes to the same part of the state at the same time. Using our whiteboard app as a demonstration let’s say client A decides that they want to change the color of an existing blue shape to green, while client B decides they want to change the color of the same shape to red at the same time: + +[graphic here] + +If these changes occur simultaneously, a conflict clearly occurs and to maintain a consistent, synchronized view across clients (i.e. state convergence), there must be some kind of conflict-resolution strategy in place + +### Conflict Resolution Strategies + +There are [several well-known strategies](https://exaspark.medium.com/top-5-ways-to-implement-real-time-rich-text-editor-ranked-by-complexity-3bc26e3c777f) for resolving conflicts in a distributed state, including: + +- Transactional Conflict Resolution +- Conflict-free Replicated Data Types (CRDTs) +- Operational Transformation (OT) + +However, before comparing strategies, it is worth reiterating that the initial decision to focus on apps using the client-server architecture affords the option to designate the server as the source of truth and the machine with the sole authority to resolve conflicts to ensure state convergence. Whereas with a peer-to-peer architecture, the only option to ensure state convergence is to use some kind of [consensus algorithm](https://www.baeldung.com/cs/consensus-algorithms-distributed-systems), which can be complex and difficult to implement. + +#### Transactional Conflict Resolution + +[Transactional conflict resolution](https://rocicorp.dev/blog/ready-player-two), also known as Client-side Prediction and Server Reconciliation [in video games](https://www.gabrielgambetta.com/client-side-prediction-server-reconciliation.html), is a technique to resolve conflicts using the intent of each state change rather than the outcome of each change to ensure that state converges. + +This means that if a change is intended to be applied relative to the current state (e.g. adding 1 to a count shared across multiple clients), multiple changes that could be considered conflicting would be stacked on top of each other instead. For example: + +[graphic here] + +However, if a change is meant to be [deterministic](https://en.wikipedia.org/wiki/Deterministic_algorithm), meaning the same outcome is produced based on the same input (e.g. changing the color of shape), multiple changes to that property would result in the last one to arrive as the outcome: + +[graphic here] + +The process of transactional conflict resolution is somewhat simple to reason about and [works as follows](https://rocicorp.dev/blog/ready-player-two): + +- If two clients make a concurrent change to the same object but modify a different property, no conflicts occur. Because clients only send the **intent **of a change, these can both be processed in the order of arrival by the server + +[graphic here] + +- When concurrent changes occur to the same property, a conflict occurs. By default, the server resolves this conflict using a simple [Last Write Wins](https://dzone.com/articles/conflict-resolution-using-last-write-wins-vs-crdts) (LWW) approach. The server then broadcasts the resolved state to all clients. + +[graphic here] + +- However, depending on the application, it is possible to build in any custom conflict resolution that would override the default Last Write Wins Behavior + +While this strategy may not be best suited for use cases where LLW is not the desired default resolution strategy or for decentralized architectures, it is highly flexible and easy to reason about + +#### Conflict-Free Replicated Data Types (CRDTs) + +A CRDT is a technique to solve conflicts using [a complex data structure that relies on the mathematical properties of commutativeness](https://en.wikipedia.org/wiki/Conflict-free_replicated_data_type) (i.e. states can be merged in any order and the same result will be produced) to ensure that conflicts are resolved and states converge. There are CRDTs designed for different use cases, but broadly, [there are two categories](https://jakelazaroff.com/words/an-interactive-intro-to-crdts/): + +- State-based CRDTs which transmit their full state between peers, and a new state is obtained by merging all the states together +- Operation-based CRDTs which transmit only the actions that users take, which can be used to calculate a new state + +We will use a simple operation-based CRDT example to demonstrate how they work in a broad sense: + +[graphic here] + +Generally, although CRDTs [can be used in server authority models](https://exaspark.medium.com/top-5-ways-to-implement-real-time-rich-text-editor-ranked-by-complexity-3bc26e3c777f), they are best suited [for decentralized systems](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) because they do not require an authoritative server. CRDTs are also a strong fit for [applications with offline support](https://exaspark.medium.com/top-5-ways-to-implement-real-time-rich-text-editor-ranked-by-complexity-3bc26e3c777f) because the data structure can preserve edits by an offline client and automatically merge them when the client regains connectivity. + +However, CRDTs require a lot of [computational and bandwidth overhead](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) and are [overkill for some use cases where they are applied](https://rocicorp.dev/blog/ready-player-two). + +#### Operation Transformation (OT) + +OT is a technique to solve conflicts using [a set of algorithms that compare concurrent operations]() and detect if the operations will allow the state to converge. If not, the operations are modified (or transformed) to resolve conflicts before being applied to the state: + +[graphic here] + +Much like CRDTs, OT is known to be complex to reason about and can [theoretically be implemented in a distributed fashion](https://digitalfreepen.com/2018/01/04/operational-transform-hard.html), however, it is overly complex so most OT implementations rely on a central server, which is still complex to implement itself. Unlike CRDTs, however, OT [is known to be less overhead](https://news.ycombinator.com/item?id=23806285#:~:text=You%20can%20approximately%20view%20it,store%20a%20lot%20of%20metadata.). + +### Choosing a Strategy + +As illustrated, no one-size-fits-all solution for conflict resolution exists because it depends on developer preference, application requirements, and the application’s architecture. However, because transactional conflict resolution meshes well with the client-server model, is the most flexible (it can even be used in tandem with CRDTs), and gives control back to the developer to resolve any conflict how they see fit, it is a natural fit for many real-time collaborative applications + +## Real-time Collaboration in an Application + +As demonstrated WebSockets and transactional conflict resolution are a strong fit for many real-time, collaborative applications. However, there are additional considerations if we were to build a production-ready collaborative application. + +### Rooms + +Returning to our whiteboard example, once clients have sent a request to connect to the whiteboard, we’d need a way to maintain their WebSocket connection, handle incoming updates, and then broadcast those updates to each client's WebSocket connections. Multiple collaborative application framework providers ([Reflect](https://hello.reflect.net/concepts/rooms) and [Liveblocks](https://liveblocks.io/docs/concepts/how-liveblocks-works#Rooms)) refer to this concept of a group of active WebSocket connections and a document as a “Room.” It is also the term Syncosaurus adopted in its terminology and we will be using it throughout the rest of this case study. + +### Client Routing + +Let’s also assume we want to extend our application to allow a user to create multiple whiteboards and collaborate on each one with a unique set of other users. To achieve this, we’d need a routing mechanism to ensure clients are connected to the correct room and can initially load the correct document. + +### Document Storage + +Finally, let’s assume we want to extend our whiteboard application to allow clients to collaborate on the same document across multiple sessions. To achieve this, we’d need a storage mechanism to enable the persistent storage and retrieval of documents upon room connection. + +# Solutions + +Now that we understand some of the considerations of building real-time collaborative applications, let’s imagine we were to follow through with the implementation of our whiteboard application. Broadly, we’d have two options: + +- **DIY** - provision infrastructure and build everything from scratch and/or integrate existing tools +- **Commercial** - use a comprehensive framework that addresses infrastructure, state syncing, and conflict resolution for real-time collaborative applications + +## DIY + +From a simplified perspective, implementing a DIY solution will consist of the following steps: + +- Deploy Infrastructure: + 1. Choose a cloud provider (e.g. AWS) + 2. Set up servers to maintain WebSocket connections + 3. Set up persistent storage for documents + 4. Set up routing for clients +- Write application code: 5. Research and implement a conflict-resolution and state-syncing strategy (e.g. [YJS](https://yjs.dev/) could be used for CRDTs) 6. Write backend logic to handle updates from clients, manage shared state via the chosen conflict-resolution strategy, persist state to storage, and broadcast updates to clients via WebSockets 7. Write client logic to capture user events, make changes to the state, implement optimistic UI, and communicate with the server + +As you can see, building from scratch is quite an undertaking, even if you take advantage of existing tools. However, this approach does offer greater control and customization over the entire system. + +## Commercial + +Some of the most notable commercial solutions are [Liveblocks](https://liveblocks.io/) and [Reflect](https://reflect.net/), which are primarily differentiated by the conflict resolution model each one employs. These commercial solutions offer convenience by abstracting much of the discussed complexity of a DIY solution by automatically deploying the infrastructure and handling the backend logic while exposing a client-side SDK to developers. However, this convenience comes with a price - these solutions each use a monthly [freemium](https://www.investopedia.com/terms/f/freemium.asp#:~:text=our%20editorial%20policies-,What%20Is%20Freemium%3F,for%20supplemental%20or%20advanced%20features.) pricing model. Liveblocks paid tiers start at $99 / month and Reflect paid tiers start at $30 / month as of the time of writing this. Additionally, using a commercial solution limits the amount of control and customization the developer has over the backend of their application. + +## Where does Syncosaurus fit in? + +Syncosaurus is a React Javascript client-side SDK with full ready-to-be-deployed backend functionality. It is best suited for developers of small-to-medium-sized applications who want to rapidly develop and ship real-time, collaborative features in their applications. + +Similar to commercial solutions like Liveblocks and Reflect, Syncosaurus exposes a client-side SDK while abstracting the backend logic and handling much of the deployment - the only thing a developer has to do to get the backend deployed is sign up for a Cloudflare account and use our CLI to deploy. However, unlike the commercial solutions, the Syncosaurus framework is free to use and open source so a developer can alter the default backend code if they choose. + +[insert comparison table] + +# Using Syncosaurus + +To better understand Syncosaurus we will explore the syncing model and then walk through how a developer might use the tool. + +## Syncing Model + +As mentioned, Syncosaurus uses a real-time syncing model with transactional conflict resolution to keep state consistent across multiple clients: + +- When a client makes a change to state, it is immediately applied to the client’s locally and the client places a copy of the intent of the change (i.e. a state mutation) in a pending queue. +- Next, the mutation is sent across the WebSocket connection to the Syncosaurus server. + +[graphic here] + +- Once the change is made to the authoritative state, the server sends a confirmation update to the client, which the client then uses to update its state to match the server and remove the pending state mutation from the queue. + +[graphic here] + +- When more than one client is connected to a given room, any mutations from one client are broadcast to all other clients by the server. Because an update from the server is authoritative, all client states are guaranteed to converge. + +[graphic here]) + +## Development + +Now that we understand the fundamental syncing model of Syncosaurus, we will discuss how to use the framework. + +### CLI Setup + +The first step to use Syncosaurus is to install the CLI tool by running `npm install -g syncosaurus-cli` + +Next one can choose to add Syncosaurus to an existing React project using `npx syncosaurus setup` or create a project from scratch using `npx syncosaurus init` + +[insert nice CLI graphic / gif] + +### Create and launch + +To use Syncosaurus in a React application’s code, one should import and initialize Syncosaurus: + +```JavaScript +const synco = new Syncosaurus({ + mutators, + userID: user.id, +}); +``` + +Next define the logic to create and/or join a room by passing in a RoomID to the `launch` method: + +```JavaScript +synco.launch(roomID); +``` + +### Model Data Shape + +Next, one should model the data shape that backs their application. Though the data shape of the key-value data store (i.e. document) is not strictly enforced, modeling it upfront allows a developer to better reason about their application logic + +The shape for our to-do list could look like this in JavaScript: + +```JavaScript +{ + 'todo/1234': { + id: 1234, + text: 'walk the dog', + complete: true + }, + 'todo/1235': { + id: 1235, + text: 'take out the trash', + complete: false + } +} +``` + +### Define Mutators + +Next, we need to define the “write” logic for the application using mutators. Mutators are javascript developer-defined functions that contain the logic to update and manipulate the shared state based on user events in your application. + +A mutator to add a new to-do to a list could look like this: + +```Javascript +function addTodo(tx, { id, text }) { + const todo = { id, text, complete: false }; + await tx.set(`todo/${id}`, todo); + return todo; +} +``` + +### Define Subscriptions + +Finally, to render the shared state on the client, we need to read the data from our local key-value store and determine how to display it using subscriptions. A subscription is implemented in the client code using a custom React hook called `useSubscribe` that reads data from the local store and re-renders components when updates to the value(s) for a specific key or set of keys (known as a watchlist) in the local storage occur. + +A subscription to get all todos could look like this: + +```Javascript + const todos = useSubscribe( + syncosaurus, + (tx) => { + let todoObject = tx.scan(key => { + return key.includes('todo'); + }); + return Object.values(todoObject); + }, + [] + ); +``` + +### Putting it together + +We have prepared a sample todo list application to demonstrate the mutator and client code and the behavior we expect. + +[insert code example] + +Go ahead and enter some todos into Client 1: + +[insert todo list demo] + +## Deployment + +After you’re satisfied with the local version of the application, it can be deployed to Cloudflare by running `npx syncosaurus deploy`. Your deployed Cloudflare architecture will consist of Cloudflare Workers and Durable Objects. For each room your clients create, a new Durable Object will be created and any client will be able to connect to it through a worker: + +## Monitoring + +After your application is deployed, you can monitor its usage and get help debugging via the analytics dashboard and a live tail log. + +The dashboard includes hourly time-series metrics related to errors and usage for each room so you can verify users are able to access and use the application in a bug-free manner + +[insert screenshot of dashboard] + +For even more detail, a tail logging session for your deployed backend can be started by running `npx syncosaurus tail` + +# Building Syncosaurus + +Now that we understand Syncosaurus at a high level, we will discuss how we built it, starting with a brief recap on requirements, then a discussion on architecture, followed by a discussion on decisions and tradeoffs made while building Syncosaurus. + +## Requirements + +Before we can discuss the architecture of Syncosaurus, it’s important to summarize the requirements we’ve mentioned so far. Since we are building Syncosaurus to support production-ready applications, at a minimum it should support: + +- The syncing model with transactional conflict resolution +- Multiple concurrent rooms (maintaining WebSocket connections and broadcasting messages) +- Persistent storage of documents + +[insert graphic of multiple rooms with clients connected and a new client trying to connect to a particular room] + +## Architecture + +### Server vs Serverless + +There are many different models of cloud computing [ranging from infrastructure-as-a-service to serverless](https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-cloud-computing) and each one offers varying degrees of infrastructure upkeep and flexibility. While server-based models (e.g. virtual private servers) offer greater control over the infrastructure, when choosing a model for Syncosaurus we quickly narrowed in on a [serverless model](https://martinfowler.com/articles/serverless.html#WhatIsServerless) (i.e. [functions-as-a-service](https://www.redhat.com/en/topics/cloud-native-apps/what-is-faas)) due to its alignment with our use case of supporting the rapid development and release of real-time features in small-to-medium sized applications, including: + +- Less overhead because there is no need to manage and maintain servers +- Granular scalability which creates potential cost savings as there are fewer wasted resources compared to a server-based model where you have to pay for the server even if it is not being used +- High availability which can reduce response times and aid in meeting real-time latency requirements + +Although, serverless is not without its tradeoffs including [cold start issues and challenges around testing and debugging](https://www.cloudflare.com/learning/serverless/why-use-serverless/) + +### Traditional Cloud vs Edge + +Several serverless model cloud providers offer both traditional and edge-based options (e.g. AWS Lambda vs AWS Lambda@Edge). Traditional cloud computing connotes remote servers in managed data centers that are not necessarily close to their clients which can increase latency. Whereas edge computing means servers and data storage are positioned “as close as possible” to the source of data with the intent of reducing latency. + +For Syncosarus, we ultimately elected to deploy on the edge and accept tradeoffs around [added complexity and reduced robustness](https://www.kio.tech/en-us/blog/data-center/advantages-and-disadvantages-of-edge-computing) since reducing latency in real-time applications is paramount. + +### Cloudflare Workers and Durable Objects + +When choosing a provider to build on, we narrowed in on a couple of options + +First, we could have built our serverless edge infrastructure using a combination of AWS Lambda@Edge, Amazon API Gateway, and a persistent storage mechanism like AWS Dynamo DB: + +[insert graphic] + +While this is a perfectly valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. + +As previously mentioned, we instead ended up choosing a Cloudflare-based architecture consisting of Workers and Durable Objects due to its simplicity and extremely strong fit for our use case. + +[insert graphic] + +A Worker is an edge-based serverless function on the Cloudflare network. A Durable Object (DO) is a special type of Worker - a globally unique [JavaScript isolate ](https://v8docs.nodesource.com/node-0.8/d5/dda/classv8_1_1_isolate.html)(a unique JS engine) with access to its own private strongly consistent [storage](https://developers.cloudflare.com/durable-objects/api/transactional-storage-api/) and built-in [caching](https://developers.cloudflare.com/durable-objects/reference/in-memory-state/#:~:text=The%20Durable%20Object's%20storage%20has,be%20instantly%20returned%20from%20cache.). + +DOs provide a single point of coordination for WebSockets and have built-in document persistence allowing us to make the workers stateful without the use of a remote persistent storage mechanism like Dynamo DB in the above AWS solution, which can lead to increased latency. It is important to note that a DO (including its persistent storage) can be [geographically migrated based on client location, which limits the latency negation of requests accessing storage](https://developers.cloudflare.com/durable-objects/reference/data-location/#provide-a-location-hint), an important factor when deciding between cloud vs edge + +However, it should also be noted that DOs have limitations, most notably that the persistent storage only supports key-value pairs and that a DO has a soft limit of 1,000 requests per second. This means that depending on the volume of requests a single client sends and the number of concurrent WebSocket connections, a DO could run into scaling issues. + +As we’ve defined, real-time collaborative applications should emulate at most a board meeting (~15 WebSocket connections), not a town hall (~100 WebSocket connections), therefore scaling concerns around the number of concurrent WebSocket connections and the number of requests per second were minor with optimizations put in place as we’ll discuss shortly + +## Engineering Challenges + +When engineering Syncosuaurus, we had to be thoughtful about the efficiency of the syncing system and ensure that a developer using the framework would have a pleasant experience. In this section, we will discuss some of the considerations that went into those engineering decisions. + +### Challenge: Authoritative Update Size + +A naive implementation of authoritative updates sent from the server to clients would be to broadcast the entire state from the server to all clients when each change occurs. However, an issue with this approach is that as the document grows in size, the message size containing the authoritative state sent from the server to the client will grow equivalently. This has two consequences: + +- Larger update sizes mean that the WebSocket messages will take longer to transmit +- Once a message arrives at the client, it will take longer to process and update its entire local state + +An alternative approach to prevent this is to send an update that only contains the changes that the server, also known as a [delta update](https://en.wikipedia.org/wiki/Delta_update) approach: + +[insert example delta update message example here] + +We ultimately decided on the delta update approach for the efficiency gains, however, this decision introduced the risk that a missed update by a client could lead to a divergent state. + +### Challenge: Missed Authoritative Updates + +As mentioned, a risk of using delta updates is the heightened potential for missed messages and divergent state. This is because [when a WebSocket connection temporarily drops and reconnects, missed updates can occur in the interim](https://socket.io/docs/v4/connection-state-recovery). Therefore, we needed to implement a connection state recovery mechanism that would bring the client back up to date in this scenario. + +To do so, we implemented an incrementing `batchID` which is sent by the DO as a property on every update message broadcasted to the clients. Each client tracks the `batchID` of the last message it received from the DO and when it receives a new message, it compares the previous `batchID` against the new one to determine if it missed an update. If a client misses an update, it sends a special request to the DO for a copy of the entire latest state. + +[insert diagram of process] + +Note that sending only the delta updates missed could reduce the state recovery message size and latency, however, the DO currently does not keep a log of the updates it broadcasts. This is an area for future investigation since it would likely create greater memory and storage demands on the DO. + +### Challenge: Authoritative Update Frequency + +Another area of consideration was the trigger mechanism of authoritative updates sent by the DO. Generally, we considered two approaches: + +- Event-driven model +- Time-driven model + +#### Event-driven model + +Using an event-driven model means that for every message sent by a single client to the DO, M update messages are broadcasted by the DO, where M represents the number of connected clients. While this approach requires simple logic, in production, it can quickly present a scaling concern. + +If we assume all clients are sending messages simultaneously and we are targeting a certain message per second rate (i.e. [frame rate per second (FPS)](https://www.100ms.live/blog/frame-rate#)) broadcasting would scale at a rate of O(M^2\*N) where N represents the number of messages sent per second by a single client + +[insert graphic] + +In [testing](https://news.ycombinator.com/item?id=37942258) done by Reflect, the target budget of a DO should be approximately 2,000 calls per second to `WebSocket.send `(a call to transmit a message over a WebSocket connection). This means, that if an app wants to target 60 FPS (a standard [in gaming](https://www.100ms.live/blog/frame-rate#)) it can only have 6 concurrent users (60 messages/second = 2000 calls / (6 users^2)). While a 6-user limit is suitable for some applications, it does shrink the pool of applications Syncosaurus could support. + +#### Time-driven model + +A time-driven model means that the DO would group state changes into a single update and send out a periodic message based on a configurable time frequency + +[insert graphic] + +This frequency directly correlates with the frame rate and makes the messaging system scale at a rate of O(M\*N). Therefore, if an app wanted to target 60 FPS (approximately every 16ms), it can support up to 33 concurrent connections. + +The tradeoff with this approach is that a message will be sent whether an update has occurred or not, meaning there may be unnecessary empty messages sent. However, we decided this tradeoff was worth it to make our messaging more efficient (message scales at a rate of O(M*N) instead of O(M^2 * N)) and to expand the pool of Syncosaurus-compatible applications. + +[insert graphic] + +### Challenge: Re-rendering and Subscriptions + +An additional consideration was reducing unnecessary client-side rendering in React and making our subscription system robust. A naive implementation of subscriptions would re-rendered the entire UI every time an update from the server was received. However, this could lead to [performance bottlenecks](https://medium.com/@nadeem.ahmad.na/react-bottlenecks-uncovered-a-comprehensive-guide-to-solving-common-performance-issues-in-your-app-90a3f98b3669) and does not take advantage of React’s model to re-render modular components individually when an update to the state they are concerned with occurs. + +To make subscriptions fit React’s granular rendering model, we decided to allow developers to write query functions on per component basis that indicate which keys in the local store they want to watch for updates (known as a key “watchlist”). Furthermore, by allowing subscriptions to accept a query callback, the developer can transform data in this callback before returning the value to React to be rendered. Finally, an additional mechanism we put in place to reduce unnecessary re-renders was a check to ensure the result of the query had changed since its last rerender (i.e. memoization), otherwise a new render would not be initiated. + +[insert diagram of process] + +Though, there may be additional memory overhead with memoizing query results and maintaining a key watchlist, eliminating unnecessary UI re-renders and making subscriptions more robust leads to a snappier UI and gives developers more control over the rendering of their application, respectively + +### Challenge: Ease of use + +The last area of consideration was how to make Syncosaurus easier to use by other developers. After researching several solutions in the space and putting ourselves in a developer’s shoes, we decided to implement a couple of additional features: + +- Optional authentication support for room access using JWTs +- An Analytics Dashboard to monitor and debug rooms + +#### Authentication + +The Syncosaurus framework supports token-based authentication that allows a developer to enforce proper room access if they choose. JWTs are commonly utilized for this, but other types of token-based authentication like OAuth can be used as well. To implement authentication, a developer must provide two components to work with our authentication handler: + +- A token(s) or preferably a library or service that can generate new tokens +- An authentication service that verifies the validity of tokens + +#### Analytics Dashboard + +As demonstrated, Syncosaurus includes an analytics tool to easily view and analyze aggregate and single-room metrics for an application. The dashboard allows a developer to gain insights into usage and debug their application if necessary. The architecture for the analytics dashboard displays data from Cloudflare’s endpoints and visualizes it in a locally running front-end application that pulls from a custom-built GraphQL backend : + +[insert graphic] + +# Future of Syncosaurus + +And that's Sycosaurus! While it fully supports real-time collaborative applications like the puzzle shown on our landing page and beyond, there is still much room for improvement and feature parity with existing solutions. A few areas we plan to investigate next are: + +- Offline mode support +- Undo/redo support +- More robust web socket connection handling +- More syncing model efficiency improvements + +For more information regarding how to use Syncosaurus please see our documentation From cd3b1af89960a92481cf0c3290624a5c643bf6bf Mon Sep 17 00:00:00 2001 From: emargetis Date: Sat, 20 Apr 2024 20:51:29 -0500 Subject: [PATCH 05/13] feat (case study): cleaned up case study and added code snippets Co-authored-by: Alex Sklar Co-authored-by: Franco Waisfeld Co-authored-by: Joseph Liang --- src/pages/case-study.mdx | 306 ++++++++++++++++++++++---------- src/pages/todo-list-client.jsx | 62 +++++++ src/pages/todo-list-mutators.js | 14 ++ 3 files changed, 284 insertions(+), 98 deletions(-) create mode 100644 src/pages/todo-list-client.jsx create mode 100644 src/pages/todo-list-mutators.js diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index f0f37a9..adc772b 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -8,61 +8,18 @@ import TodoList from '@site/src/components/TodoList/TodoList' import Tabs from '@theme/Tabs' import TabItem from '@theme/TabItem' -## Overview +# Overview - +Syncosaurus is a React-Javascript developer framework for rapidly building browser-based real-time, collaborative web applications backed by Cloudflare Workers and Durable Objects. -Syncosaurus is a React Javascript developer framework for rapidly building real-time, collaborative applications backed by the Cloudflare edge network of Workers and Durable Objects In this case study, we will: -- define real-time collaborative applications -- explain why they are not trivial to build -- explore existing solutions -- discuss core concepts to understand and use Syncosaurus -- explain how Syncosaurus was built -- discuss potential future improvements - -### Preface on architecture - -At a fundamental level when multiple users are “collaborating” on the same artifact, they are exchanging data to manipulate the synchronized view of the artifact. Practically, this means that all users who are observing and making changes to the artifact on the web application will need to exchange information back and forth in real-time via the open internet. - -Although there are numerous architectures for web applications, they can broadly be categorized as: - -- **Centralized** such as the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally authoritative, meaning it is the source of truth. - - - -- **Decentralized** such as the peer-to-peer architecture where every machine (known as a node) is treated equally and responsible for sending and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth. - -Though it is possible to build decentralized real-time collaboration web apps, it is notoriously complex and many existing real-time collaborative apps use a form of the client-server architecture. This is because the client-server architecture is often more efficient and easier to maintain, although, it does introduce a single point of failure risk. -Given this and the predominance of the client-server architecture in web apps, we will assume that any application considering Syncosaurus will be using some form of a centralized backend. Note that the centralized backend of a client-server architecture can be made up of many servers in the case of a distributed client-server architecture, however, we will still refer to the backend collectively as the “server”. - -# Building Real-Time Collaborative Applications Is Not Trivial - -On the surface, building real-time collaborative applications may not seem any different than building other web applications, however, if we break down each word of “real-time collaboration” into more concrete and technical definitions, we quickly realize that is not the case. - - - - ``` Javascript console.log('hello') console.log('hello') ``` - - - ``` Javascript console.log('subscriptions'); console.log('subscriptions'); - ``` - - - - - -# Overview - -- Syncosaurus is a React-Javascript developer framework for rapidly building browser-based real-time, collaborative web applications -- In this case study, we will: - - define real-time collaborative applications - - explain why real-time collaborative applications are not trivial to build - - compare existing solutions used to facilitate building collaborative applications, including Syncosaurus - - discuss how to use Syncosaurus - - explain how Syncosaurus was built - - discuss future improvements for Syncosaurus +- Define real-time collaborative applications +- Explain why real-time collaborative applications are not trivial to build +- Compare existing solutions used to facilitate building collaborative applications, including Syncosaurus +- Discuss how to use Syncosaurus +- Explain how Syncosaurus was built +- Discuss future improvements for Syncosaurus # Introduction @@ -83,23 +40,19 @@ At a fundamental level when multiple users are “collaborating” on the same a - Centralized - Decentralized -### Centralized - Centralized includes the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally [authoritative](https://medium.com/mighty-bear-games/what-are-server-authoritative-realtime-games-e2463db534d1), meaning it is the source of truth. [graphic here] -### Decentralized - -Decentralized includes the peer-to-peer architecture where every machine (known as a node) is treated equally and is responsible for sending for and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth +Decentralized includes the peer-to-peer architecture where every machine (known as a node) is treated equally and is responsible for sending for and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth. [graphic here] -Though [it is possible](https://www.tag1consulting.com/blog/yjs-webrtc-part-1) to build decentralized real-time collaboration web apps, decentralized architectures are notoriously complex. Instead [many existing real-time collaborative apps use a form of the client-server architecture](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) due to their comparative [efficiency and ease of maintenance](https://fwx.finance/learn/article/centralized-app-vs-dapp). Therefore, we will assume that any application considering Syncosaurus will be using a form of centralized architecture +Though [it is possible](https://www.tag1consulting.com/blog/yjs-webrtc-part-1) to build decentralized real-time collaboration web apps, decentralized architectures are notoriously complex. Instead [many existing real-time collaborative apps use a form of the client-server architecture](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) due to their comparative [efficiency and ease of maintenance](https://fwx.finance/learn/article/centralized-app-vs-dapp). Therefore, we will assume that any application considering Syncosaurus will be using a form of centralized architecture. # Building Real-Time Collaborative Applications Is Not Trivial -Initially, building real-time collaborative web apps may not seem different than building other web apps, however, if we break down each word of “real-time collaboration” into more concrete requirements, we quickly realize that is not the case +Initially, building real-time collaborative web apps may not seem different than building other web apps, however, if we break down each word of “real-time collaboration” into more concrete requirements, we quickly realize that is not the case. ## What Does Real-time Entail? @@ -115,9 +68,9 @@ The need for real-time depends on the web application and generally apps that mi - [Collaborative productivity and e-learning](https://www.mdpi.com/2079-9292/11/24/4152) - [Video conferencing](https://21stcenturyav.com/good-latency-for-video-conferencing/) -To illustrate this need and the impact latency can have on a user’s experience, use the demo below and notice how increased latency causes a noticeable delay in changing the red circle’s position to match the blue one: +To illustrate this need and the impact latency can have on a user’s experience, drag the blue slider below and notice how higher latencies cause a noticeable delay in updating the red slider’s position to match: -[graphic here] + ### Achieving Real-time Communication @@ -127,7 +80,7 @@ At the application layer of the internet, HTTP underpins much of the communicati - WebSockets - WebTransport -Note that using [streams over HTTP/2](https://getstream.io/blog/communication-protocols/) was also considered due to its bi-directional nature and built-in multiplexing, however, the need to broadcast data to multiple clients in real-time collaborative apps (which we will discuss later) made them unsuitable for our purposes +Note that using [streams over HTTP/2](https://getstream.io/blog/communication-protocols/) was also considered due to its bi-directional nature and built-in multiplexing, however, the need to broadcast data to multiple clients in real-time collaborative apps (which we will discuss later) made them unsuitable for our purposes. #### Long Polling @@ -135,7 +88,7 @@ Long polling is a technique to emulate server push communications via normal HTT [graphic here] -Although every browser supports long polling, it has high latency compared to other options such as WebSockets, and a risk of missing messages without extensive code on the client and server. Therefore, long polling [is generally better suited as a fallback option as opposed to a primary means of bi-directional communication](https://ably.com/topic/long-polling#:~:text=HTTP%20long%20polling%20solves%20the,make%20requests%20and%20servers%20respond.) +Although every browser supports long polling, it has high latency compared to other options such as WebSockets, and a risk of missing messages without extensive code on the client and server. Therefore, long polling [is generally better suited as a fallback option as opposed to a primary means of bi-directional communication](https://ably.com/topic/long-polling#:~:text=HTTP%20long%20polling%20solves%20the,make%20requests%20and%20servers%20respond.). #### WebSockets @@ -143,9 +96,9 @@ Although every browser supports long polling, it has high latency compared to ot [graphic here] -Once the handshake is complete, the WebSocket connection is established and both parties are now free to transmit data at any time +Once the handshake is complete, the WebSocket connection is established and both parties are now free to transmit data at any time. -Overall, Websockets are [low latency compared to HTTP](https://ably.com/topic/websockets-pros-cons) and [are widely supported in modern browsers](https://caniuse.com/websockets), though they can be somewhat tricky to scale and maintain in production because the connections [have to remain open and there is a risk of message loss when connections are interrupted](https://ably.com/topic/websockets-pros-cons) +Websockets are [low latency compared to HTTP](https://ably.com/topic/websockets-pros-cons) and [are widely supported in modern browsers](https://caniuse.com/websockets), though they can be somewhat tricky to scale and maintain in production because the connections [have to remain open and there is a risk of message loss when connections are interrupted](https://ably.com/topic/websockets-pros-cons). #### WebTransport @@ -153,7 +106,7 @@ WebTransport is an application layer protocol built on the [QUIC protocol, a mor While the characteristics of WebTransport make it seem like a strong [fit for real-time collaborative ](https://www.videosdk.live/blog/websocket-vs-webtransport#what-is-websocket)web apps, the technology has [yet to reach the same level of browser support as previously mentioned options](https://caniuse.com/webtransport). -### Choosing A Technique +### Choosing a Technique With real-time collaborative apps requiring a communication option with low latency, bi-directional messaging, wide browser support, and minimal data loss, many developers, including us, opt to use WebSockets. Though, as noted Websockets are not without their concerns, which will be discussed later in the case study. @@ -175,7 +128,9 @@ If we assume the app is using a client-server architecture where the clients do ### Consistency vs Latency -One may assume that because our application is using WebSockets, the information would travel fast enough to meet real-time latency requirements. However, depending on where the backend server(s) is located (among other factors), [the distance between the client and the server can increase latency](https://www.inkandswitch.com/local-first/#1-no-spinners-your-work-at-your-fingertips). Unfortunately, this latency can create a laggy user experience for the change-initiating client while it waits to communicate with the server (note that this discussion alludes to the inverse relationship between state consistency and latency which is described by the [PACELC theorem](https://www.scylladb.com/glossary/pacelc-theorem/)). Using our whiteboard example, you can see that the users have a different experience when latency is introduced: +One may assume that because our application is using WebSockets, the information would travel fast enough to meet real-time latency requirements. However, depending on where the backend server(s) is located (among other factors), [the distance between the client and the server can increase latency](https://www.inkandswitch.com/local-first/#1-no-spinners-your-work-at-your-fingertips). Unfortunately, this latency can create a laggy user experience for the change-initiating client while it waits to communicate with the server (note that this discussion alludes to the inverse relationship between state consistency and latency which is described by the [PACELC theorem](https://www.scylladb.com/glossary/pacelc-theorem/)). + +Using our whiteboard example, you can see that the users have a different experience when latency is introduced: [graphic here] @@ -193,7 +148,9 @@ The edge network is a distributed computing paradigm that brings computation and Next, while [tuning our WebSocket messaging](https://pusher.com/blog/websockets-realtime-gaming-low-latency/#websockets-to-reduce-latency-and-ensure-smooth-gameplay) to be more performant could also help in reducing latency, this strategy reaches diminishing returns because there will always be at least some latency in the network. Therefore, it will only get us so far. -Finally, [optimistically updating the client’s UI](https://javascript.plainenglish.io/what-is-optimistic-ui-656b9d6e187c#:~:text=An%20Optimistic%20User%20Interface%20is%20a%20design,a%20user%20performs%20an%20action%20(such%20as%E2%80%A6) (known as [client-side prediction](https://en.wikipedia.org/wiki/Client-side_prediction) in the gaming world) takes a different approach - instead of seeking to reduce actual latency, it seeks to reduce [perceived latency](https://developer.mozilla.org/en-US/docs/Learn/Performance/Perceived_performance) (i.e. how fast a website seems to the user), which as [demonstrated in product design](https://medium.com/@danielpidcock/actual-usability-vs-perception-of-usability-db236cd77bde) is often just as powerful. For our whiteboard application, this means the latency will still exist, but it will not be as apparent to the user. Optimistic UI works like this: +Finally, [optimistically updating the client’s UI](https://javascript.plainenglish.io/what-is-optimistic-ui-656b9d6e187c#) (known as [client-side prediction](https://en.wikipedia.org/wiki/Client-side_prediction) in the gaming world) takes a different approach - instead of seeking to reduce actual latency, it seeks to reduce [perceived latency](https://developer.mozilla.org/en-US/docs/Learn/Performance/Perceived_performance) (i.e. how fast a website seems to the user), which as [demonstrated in product design](https://medium.com/@danielpidcock/actual-usability-vs-perception-of-usability-db236cd77bde) is often just as powerful. For our whiteboard application, this means the latency will still exist, but it will not be as apparent to the user. + +Optimistic UI works like this: [graphic here] @@ -233,17 +190,17 @@ However, if a change is meant to be [deterministic](https://en.wikipedia.org/wik [graphic here] -The process of transactional conflict resolution is somewhat simple to reason about and [works as follows](https://rocicorp.dev/blog/ready-player-two): +The process of transactional conflict resolution is somewhat simple to reason about. -- If two clients make a concurrent change to the same object but modify a different property, no conflicts occur. Because clients only send the **intent **of a change, these can both be processed in the order of arrival by the server +If two clients make a concurrent change to the same object but modify a different property, no conflicts occur. Because clients only send the intent of a change, these can both be processed in the order of arrival by the server [graphic here] -- When concurrent changes occur to the same property, a conflict occurs. By default, the server resolves this conflict using a simple [Last Write Wins](https://dzone.com/articles/conflict-resolution-using-last-write-wins-vs-crdts) (LWW) approach. The server then broadcasts the resolved state to all clients. +When concurrent changes occur to the same property, a conflict occurs. By default, the server resolves this conflict using a simple [Last Write Wins](https://dzone.com/articles/conflict-resolution-using-last-write-wins-vs-crdts) (LWW) approach. The server then broadcasts the resolved state to all clients. [graphic here] -- However, depending on the application, it is possible to build in any custom conflict resolution that would override the default Last Write Wins Behavior +However, depending on the application, it is possible to build in any custom conflict resolution that would override the default Last Write Wins Behavior While this strategy may not be best suited for use cases where LLW is not the desired default resolution strategy or for decentralized architectures, it is highly flexible and easy to reason about @@ -268,11 +225,13 @@ OT is a technique to solve conflicts using [a set of algorithms that compare con [graphic here] -Much like CRDTs, OT is known to be complex to reason about and can [theoretically be implemented in a distributed fashion](https://digitalfreepen.com/2018/01/04/operational-transform-hard.html), however, it is overly complex so most OT implementations rely on a central server, which is still complex to implement itself. Unlike CRDTs, however, OT [is known to be less overhead](https://news.ycombinator.com/item?id=23806285#:~:text=You%20can%20approximately%20view%20it,store%20a%20lot%20of%20metadata.). +Much like CRDTs, OT is known to be complex to reason about and can [theoretically be implemented in a distributed fashion](https://digitalfreepen.com/2018/01/04/operational-transform-hard.html), however, it is overly complex so most OT implementations rely on a central server, which is still complex to implement itself. + +Unlike CRDTs, however, OT [is known to be less overhead](https://news.ycombinator.com/item?id=23806285#:~:text=You%20can%20approximately%20view%20it,store%20a%20lot%20of%20metadata.). ### Choosing a Strategy -As illustrated, no one-size-fits-all solution for conflict resolution exists because it depends on developer preference, application requirements, and the application’s architecture. However, because transactional conflict resolution meshes well with the client-server model, is the most flexible (it can even be used in tandem with CRDTs), and gives control back to the developer to resolve any conflict how they see fit, it is a natural fit for many real-time collaborative applications +As illustrated, no one-size-fits-all solution for conflict resolution exists because it depends on developer preference, application requirements, and the application’s architecture. However, because transactional conflict resolution meshes well with the client-server model, is the most flexible (it can even be used in tandem with CRDTs), and gives control back to the developer to resolve any conflict how they see fit, it is a natural fit for many real-time collaborative applications. ## Real-time Collaboration in an Application @@ -294,25 +253,30 @@ Finally, let’s assume we want to extend our whiteboard application to allow cl Now that we understand some of the considerations of building real-time collaborative applications, let’s imagine we were to follow through with the implementation of our whiteboard application. Broadly, we’d have two options: -- **DIY** - provision infrastructure and build everything from scratch and/or integrate existing tools -- **Commercial** - use a comprehensive framework that addresses infrastructure, state syncing, and conflict resolution for real-time collaborative applications +- DIY which means provisionining infrastructure and building everything from scratch and/or integrating existing tools +- Commercial which means using a comprehensive framework that addresses infrastructure, state syncing, and conflict resolution for real-time collaborative applications ## DIY From a simplified perspective, implementing a DIY solution will consist of the following steps: -- Deploy Infrastructure: - 1. Choose a cloud provider (e.g. AWS) - 2. Set up servers to maintain WebSocket connections - 3. Set up persistent storage for documents - 4. Set up routing for clients -- Write application code: 5. Research and implement a conflict-resolution and state-syncing strategy (e.g. [YJS](https://yjs.dev/) could be used for CRDTs) 6. Write backend logic to handle updates from clients, manage shared state via the chosen conflict-resolution strategy, persist state to storage, and broadcast updates to clients via WebSockets 7. Write client logic to capture user events, make changes to the state, implement optimistic UI, and communicate with the server +1. Deploy Infrastructure: + 1. Choose a cloud provider (e.g. AWS) + 2. Set up servers to maintain WebSocket connections + 3. Set up persistent storage for documents + 4. Set up routing for clients +2. Write application code: + 1. Research and implement a conflict-resolution and state-syncing strategy (e.g. [YJS](https://yjs.dev/) could be used for CRDTs) + 2. Write backend logic to handle updates from clients, manage shared state via the chosen conflict-resolution strategy, persist state to storage, and broadcast updates to clients via WebSockets + 3. Write client logic to capture user events, make changes to the state, implement optimistic UI, and communicate with the server As you can see, building from scratch is quite an undertaking, even if you take advantage of existing tools. However, this approach does offer greater control and customization over the entire system. ## Commercial -Some of the most notable commercial solutions are [Liveblocks](https://liveblocks.io/) and [Reflect](https://reflect.net/), which are primarily differentiated by the conflict resolution model each one employs. These commercial solutions offer convenience by abstracting much of the discussed complexity of a DIY solution by automatically deploying the infrastructure and handling the backend logic while exposing a client-side SDK to developers. However, this convenience comes with a price - these solutions each use a monthly [freemium](https://www.investopedia.com/terms/f/freemium.asp#:~:text=our%20editorial%20policies-,What%20Is%20Freemium%3F,for%20supplemental%20or%20advanced%20features.) pricing model. Liveblocks paid tiers start at $99 / month and Reflect paid tiers start at $30 / month as of the time of writing this. Additionally, using a commercial solution limits the amount of control and customization the developer has over the backend of their application. +Some of the most notable commercial solutions are [Liveblocks](https://liveblocks.io/) and [Reflect](https://reflect.net/), which are primarily differentiated by the conflict resolution model each one employs. These commercial solutions offer convenience by abstracting much of the discussed complexity of a DIY solution by automatically deploying the infrastructure and handling the backend logic while exposing a client-side SDK to developers. + +However, this convenience comes with a price - these solutions each use a monthly [freemium](https://www.investopedia.com/terms/f/freemium.asp#:~:text=our%20editorial%20policies-,What%20Is%20Freemium%3F,for%20supplemental%20or%20advanced%20features.) pricing model. Liveblocks paid tiers start at $99 / month and Reflect paid tiers start at $30 / month as of the time of writing this. Additionally, using a commercial solution limits the amount of control and customization the developer has over the backend of their application. ## Where does Syncosaurus fit in? @@ -320,7 +284,64 @@ Syncosaurus is a React Javascript client-side SDK with full ready-to-be-deployed Similar to commercial solutions like Liveblocks and Reflect, Syncosaurus exposes a client-side SDK while abstracting the backend logic and handling much of the deployment - the only thing a developer has to do to get the backend deployed is sign up for a Cloudflare account and use our CLI to deploy. However, unlike the commercial solutions, the Syncosaurus framework is free to use and open source so a developer can alter the default backend code if they choose. -[insert comparison table] + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
DIYLiveblocksReflectSyncosaurus
Open-source✅❌❌✅
Managed Service❌✅✅❌
Easy to Deploy❌✅✅✅
Conflict Resolution MechanismAnyCRDTsTransactional Conflict ResolutionTransactional Conflict Resolution
Authentication Support✅✅✅✅
Offline Client Support✅✅✅❌
Analytics✅✅✅✅
# Using Syncosaurus @@ -341,7 +362,7 @@ As mentioned, Syncosaurus uses a real-time syncing model with transactional conf - When more than one client is connected to a given room, any mutations from one client are broadcast to all other clients by the server. Because an update from the server is authoritative, all client states are guaranteed to converge. -[graphic here]) +[graphic here] ## Development @@ -426,20 +447,109 @@ A subscription to get all todos could look like this: ); ``` -### Putting it together +### Putting it all together -We have prepared a sample todo list application to demonstrate the mutator and client code and the behavior we expect. +We have prepared a simple todo list application to illustrate the mutator and client code and the behavior we expect. -[insert code example] + + + ```Javascript + export default { + addTodo, + removeTodo, + } + + function addTodo(tx, { id, text }) { + const todo = { id, text, complete: false } + tx.set(`todo/${id}`, todo) + return todo + } + + function removeTodo(tx, { id }) { + tx.delete(`todo/${id}`) + } + ``` -Go ahead and enter some todos into Client 1: + + + ```Javascript + import { useState } from 'react' + import Syncosaurus from 'syncosaurus' + import { useSubscribe } from 'syncosaurus' + import mutators from '../mutators.js' + + const synco = new Syncosaurus({ + mutators, + userID: '1234', + server: import.meta.env.VITE_DO_URL, + }) + + synco.launch('yourRoomID') + + export default function App() { + const [inputValue, setInputValue] = useState('') + + function handleChange(e) { + setInputValue(e.target.value) + } + + function handleSubmit(e) { + e.preventDefault() + synco.mutate.addTodo({ + id: uuidv4(), + text: inputValue, + }) + + setInputValue('') + } + + function handleDelete(id) { + synco.mutate.removeTodo({ id }) + } + + const todos = useSubscribe( + synco, + tx => { + let todoObject = tx.scan(key => { + return key.includes('todo') + }) + return Object.values(todoObject) + }, + [] + ) + + return ( +
+
+ + +
+
    + {todos.map(todo => ( +
  • + {todo.text} + +
    • + ))} +
+
+ ) + } + ``` -[insert todo list demo] + + + +Go ahead and enter some todos into Client 1 and watch them appear on Client 2 after a simulated latency of 1 second: + + ## Deployment After you’re satisfied with the local version of the application, it can be deployed to Cloudflare by running `npx syncosaurus deploy`. Your deployed Cloudflare architecture will consist of Cloudflare Workers and Durable Objects. For each room your clients create, a new Durable Object will be created and any client will be able to connect to it through a worker: +[insert screenshot of architecture] + ## Monitoring After your application is deployed, you can monitor its usage and get help debugging via the analytics dashboard and a live tail log. @@ -474,7 +584,7 @@ There are many different models of cloud computing [ranging from infrastructure- - Granular scalability which creates potential cost savings as there are fewer wasted resources compared to a server-based model where you have to pay for the server even if it is not being used - High availability which can reduce response times and aid in meeting real-time latency requirements -Although, serverless is not without its tradeoffs including [cold start issues and challenges around testing and debugging](https://www.cloudflare.com/learning/serverless/why-use-serverless/) +Although, serverless is not without its tradeoffs including [cold start issues and challenges around testing and debugging](https://www.cloudflare.com/learning/serverless/why-use-serverless/). ### Traditional Cloud vs Edge @@ -484,13 +594,13 @@ For Syncosarus, we ultimately elected to deploy on the edge and accept tradeoffs ### Cloudflare Workers and Durable Objects -When choosing a provider to build on, we narrowed in on a couple of options +When choosing a provider to build on, we narrowed in on a couple of options. First, we could have built our serverless edge infrastructure using a combination of AWS Lambda@Edge, Amazon API Gateway, and a persistent storage mechanism like AWS Dynamo DB: [insert graphic] -While this is a perfectly valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. +While this is a totally valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. As previously mentioned, we instead ended up choosing a Cloudflare-based architecture consisting of Workers and Durable Objects due to its simplicity and extremely strong fit for our use case. @@ -502,7 +612,7 @@ DOs provide a single point of coordination for WebSockets and have built-in docu However, it should also be noted that DOs have limitations, most notably that the persistent storage only supports key-value pairs and that a DO has a soft limit of 1,000 requests per second. This means that depending on the volume of requests a single client sends and the number of concurrent WebSocket connections, a DO could run into scaling issues. -As we’ve defined, real-time collaborative applications should emulate at most a board meeting (~15 WebSocket connections), not a town hall (~100 WebSocket connections), therefore scaling concerns around the number of concurrent WebSocket connections and the number of requests per second were minor with optimizations put in place as we’ll discuss shortly +As we’ve defined, real-time collaborative applications should emulate at most a board meeting (~15 WebSocket connections), not a town hall (~100 WebSocket connections), therefore scaling concerns around the number of concurrent WebSocket connections and the number of requests per second were minor with optimizations put in place as we’ll discuss shortly. ## Engineering Challenges @@ -542,7 +652,7 @@ Another area of consideration was the trigger mechanism of authoritative updates Using an event-driven model means that for every message sent by a single client to the DO, M update messages are broadcasted by the DO, where M represents the number of connected clients. While this approach requires simple logic, in production, it can quickly present a scaling concern. -If we assume all clients are sending messages simultaneously and we are targeting a certain message per second rate (i.e. [frame rate per second (FPS)](https://www.100ms.live/blog/frame-rate#)) broadcasting would scale at a rate of O(M^2\*N) where N represents the number of messages sent per second by a single client +If we assume all clients are sending messages simultaneously and we are targeting a certain message per second rate (i.e. [frame rate per second (FPS)](https://www.100ms.live/blog/frame-rate#)) broadcasting would scale at a rate of O(M^2\*N) where N represents the number of messages sent per second by a single client. [insert graphic] @@ -550,7 +660,7 @@ In [testing](https://news.ycombinator.com/item?id=37942258) done by Reflect, the #### Time-driven model -A time-driven model means that the DO would group state changes into a single update and send out a periodic message based on a configurable time frequency +A time-driven model means that the DO would group state changes into a single update and send out a periodic message based on a configurable time frequency. [insert graphic] @@ -568,7 +678,7 @@ To make subscriptions fit React’s granular rendering model, we decided to allo [insert diagram of process] -Though, there may be additional memory overhead with memoizing query results and maintaining a key watchlist, eliminating unnecessary UI re-renders and making subscriptions more robust leads to a snappier UI and gives developers more control over the rendering of their application, respectively +Though, there may be additional memory overhead with memoizing query results and maintaining a key watchlist, eliminating unnecessary UI re-renders and making subscriptions more robust leads to a snappier UI and gives developers more control over the rendering of their application, respectively. ### Challenge: Ease of use @@ -577,7 +687,7 @@ The last area of consideration was how to make Syncosaurus easier to use by othe - Optional authentication support for room access using JWTs - An Analytics Dashboard to monitor and debug rooms -#### Authentication +### Authentication The Syncosaurus framework supports token-based authentication that allows a developer to enforce proper room access if they choose. JWTs are commonly utilized for this, but other types of token-based authentication like OAuth can be used as well. To implement authentication, a developer must provide two components to work with our authentication handler: @@ -586,7 +696,7 @@ The Syncosaurus framework supports token-based authentication that allows a deve #### Analytics Dashboard -As demonstrated, Syncosaurus includes an analytics tool to easily view and analyze aggregate and single-room metrics for an application. The dashboard allows a developer to gain insights into usage and debug their application if necessary. The architecture for the analytics dashboard displays data from Cloudflare’s endpoints and visualizes it in a locally running front-end application that pulls from a custom-built GraphQL backend : +As demonstrated, Syncosaurus includes an analytics tool to easily view and analyze aggregate and single-room metrics for an application. The dashboard allows a developer to gain insights into usage and debug their application if necessary. The architecture for the analytics dashboard displays data from Cloudflare’s endpoints and visualizes it in a locally running front-end application that pulls from a custom-built GraphQL backend: [insert graphic] diff --git a/src/pages/todo-list-client.jsx b/src/pages/todo-list-client.jsx new file mode 100644 index 0000000..c92a33f --- /dev/null +++ b/src/pages/todo-list-client.jsx @@ -0,0 +1,62 @@ +// import { useState } from 'react' +// import Syncosaurus from 'syncosaurus' +// import { useSubscribe } from 'syncosaurus' +// import mutators from '../mutators.js' + +// const synco = new Syncosaurus({ +// mutators, +// userID: '1234', +// server: import.meta.env.VITE_DO_URL, +// }) + +// synco.launch('yourRoomID') + +// export default function App() { +// const [inputValue, setInputValue] = useState('') + +// function handleChange(e) { +// setInputValue(e.target.value) +// } + +// function handleSubmit(e) { +// e.preventDefault() +// synco.mutate.addTodo({ +// id: uuidv4(), +// text: inputValue, +// }) + +// setInputValue('') +// } + +// function handleDelete(id) { +// synco.mutate.removeTodo({ id }) +// } + +// const todos = useSubscribe( +// synco, +// tx => { +// let todoObject = tx.scan(key => { +// return key.includes('todo') +// }) +// return Object.values(todoObject) +// }, +// [] +// ) + +// return ( +//
+//
+// +// +//
+//
    +// {todos.map(todo => ( +//
  • +// {todo.text} +// +//
    • +// ))} +//
+//
+// ) +// } diff --git a/src/pages/todo-list-mutators.js b/src/pages/todo-list-mutators.js new file mode 100644 index 0000000..d168b9e --- /dev/null +++ b/src/pages/todo-list-mutators.js @@ -0,0 +1,14 @@ +// export default { +// addTodo, +// removeTodo, +// } + +// function addTodo(tx, { id, text }) { +// const todo = { id, text, complete: false } +// tx.set(`todo/${id}`, todo) +// return todo +// } + +// function removeTodo(tx, { id }) { +// tx.delete(`todo/${id}`) +// } From 2becb992a86caa4b7ef006e5e552a6bea651d7d5 Mon Sep 17 00:00:00 2001 From: emargetis Date: Sat, 20 Apr 2024 22:54:49 -0500 Subject: [PATCH 06/13] chore: added aws diagram image to static directory Co-authored-by: Alex Sklar Co-authored-by: Franco Waisfeld Co-authored-by: Joseph Liang --- src/pages/case-study.mdx | 2 +- static/img/diagrams/AWS-Lambda-Diagram.png | Bin 0 -> 86181 bytes 2 files changed, 1 insertion(+), 1 deletion(-) create mode 100644 static/img/diagrams/AWS-Lambda-Diagram.png diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index adc772b..b76ec27 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -600,7 +600,7 @@ First, we could have built our serverless edge infrastructure using a combinatio [insert graphic] -While this is a totally valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. +While this is a valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. 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- ) -} - -export default Dia2ClientChangesSync diff --git a/src/pages/diagrams/Dia2ClientChangesSync.svg b/src/pages/diagrams/Dia2ClientChangesSync.svg deleted file mode 100644 index d177ff3..0000000 --- a/src/pages/diagrams/Dia2ClientChangesSync.svg +++ /dev/null @@ -1,4 +0,0 @@ - - - - From 09bd15457b6320d6d8320896f6c583f50d3adebb Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Mon, 22 Apr 2024 14:54:31 -0700 Subject: [PATCH 08/13] feat(diag): import Websockets Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- src/components/Diagrams/index.js | 7 +++++++ src/pages/case-study.mdx | 6 ++++-- static/img/diagrams/diag-websocket-handshake.svg | 6 ++++++ 3 files changed, 17 insertions(+), 2 deletions(-) create mode 100644 src/components/Diagrams/index.js create mode 100644 static/img/diagrams/diag-websocket-handshake.svg diff --git a/src/components/Diagrams/index.js b/src/components/Diagrams/index.js new file mode 100644 index 0000000..0481612 --- /dev/null +++ b/src/components/Diagrams/index.js @@ -0,0 +1,7 @@ +export const Websockets = () => { + return +} \ No newline at end of file diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index b6c3e62..1e47d40 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -1,8 +1,10 @@ -import Dia2ClientChangesSync from './diagrams/Dia2ClientChangesSync.jsx' import LatencySlider from '@site/src/components/LatencySlider/LatencySlider' import TodoList from '@site/src/components/TodoList/TodoList' import Tabs from '@theme/Tabs' import TabItem from '@theme/TabItem' +import { Websockets } from '@site/src/components/Diagrams/index.js' + + ## Overview @@ -26,7 +28,7 @@ Although there are numerous architectures for web applications, they can broadly - **Centralized** such as the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally authoritative, meaning it is the source of truth. - +[insert P2P] - **Decentralized** such as the peer-to-peer architecture where every machine (known as a node) is treated equally and responsible for sending and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth. diff --git a/static/img/diagrams/diag-websocket-handshake.svg b/static/img/diagrams/diag-websocket-handshake.svg new file mode 100644 index 0000000..6563723 --- /dev/null +++ b/static/img/diagrams/diag-websocket-handshake.svg @@ -0,0 +1,6 @@ + + + From a5b4115f4c3c1af84aee9f30cc9d46b7017f17bf Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Mon, 22 Apr 2024 14:58:01 -0700 Subject: [PATCH 09/13] feat(diag): remove old files Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- static/img/diagrams/3-Concurrent Change Diff Props.svg | 6 ------ static/img/diagrams/4-Concurrent Conflicting Edits.svg | 6 ------ 2 files changed, 12 deletions(-) delete mode 100644 static/img/diagrams/3-Concurrent Change Diff Props.svg delete mode 100644 static/img/diagrams/4-Concurrent Conflicting Edits.svg diff --git a/static/img/diagrams/3-Concurrent Change Diff Props.svg b/static/img/diagrams/3-Concurrent Change Diff Props.svg deleted file mode 100644 index af8525a..0000000 --- a/static/img/diagrams/3-Concurrent Change Diff Props.svg +++ /dev/null @@ -1,6 +0,0 @@ - - - diff --git a/static/img/diagrams/4-Concurrent Conflicting Edits.svg b/static/img/diagrams/4-Concurrent Conflicting Edits.svg deleted file mode 100644 index 8659da9..0000000 --- a/static/img/diagrams/4-Concurrent Conflicting Edits.svg +++ /dev/null @@ -1,6 +0,0 @@ - - - From 295285e206ba37cfe6fa706f88e31c2e5c2b79a5 Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Mon, 22 Apr 2024 18:26:56 -0700 Subject: [PATCH 10/13] feat(diag): add most diagrams, first drafts Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- src/components/Diagrams/allDiagrams.js | 33 +++ src/components/Diagrams/index.js | 192 ++++++++++++++++ src/pages/case-study.mdx | 216 ++++++++++-------- static/img/diagrams/diag-CRDT.svg | 122 ++++++++++ static/img/diagrams/diag-DeltaUpdates.svg | 6 + static/img/diagrams/diag-ON-messaging.svg | 6 + static/img/diagrams/diag-ON2-messaging.svg | 6 + static/img/diagrams/diag-OT.svg | 94 ++++++++ static/img/diagrams/diag-StateUpdates.svg | 6 + static/img/diagrams/diag-absolute-update.svg | 6 + static/img/diagrams/diag-centralized.svg | 1 + static/img/diagrams/diag-conflict-edits.svg | 6 + static/img/diagrams/diag-long-polling.svg | 6 + .../diagrams/diag-new-client-connection.svg | 6 + .../img/diagrams/diag-no-conflict-edits.svg | 6 + static/img/diagrams/diag-optimistic-ui.svg | 29 +++ static/img/diagrams/diag-p2p.svg | 1 + static/img/diagrams/diag-relative-update.svg | 30 +++ static/img/diagrams/diag-syncingModel-1.svg | 6 + static/img/diagrams/diag-syncingModel-2.svg | 6 + static/img/diagrams/diag-syncingModel-3.svg | 6 + static/img/diagrams/diag-syncingModel-4.svg | 6 + .../img/diagrams/diag-timeDrivenMessages.svg | 6 + .../img/diagrams/diag-whiteboard-conflict.svg | 6 + .../diag-whiteboard-demo-dual-latency.svg | 18 ++ .../diagrams/diag-whiteboard-demo-dual.svg | 18 ++ 26 files changed, 752 insertions(+), 92 deletions(-) create mode 100644 src/components/Diagrams/allDiagrams.js create mode 100644 static/img/diagrams/diag-CRDT.svg create mode 100644 static/img/diagrams/diag-DeltaUpdates.svg create mode 100644 static/img/diagrams/diag-ON-messaging.svg create mode 100644 static/img/diagrams/diag-ON2-messaging.svg create mode 100644 static/img/diagrams/diag-OT.svg create mode 100644 static/img/diagrams/diag-StateUpdates.svg create mode 100644 static/img/diagrams/diag-absolute-update.svg create mode 100644 static/img/diagrams/diag-centralized.svg create mode 100644 static/img/diagrams/diag-conflict-edits.svg create mode 100644 static/img/diagrams/diag-long-polling.svg create mode 100644 static/img/diagrams/diag-new-client-connection.svg create mode 100644 static/img/diagrams/diag-no-conflict-edits.svg create mode 100644 static/img/diagrams/diag-optimistic-ui.svg create mode 100644 static/img/diagrams/diag-p2p.svg create mode 100644 static/img/diagrams/diag-relative-update.svg create mode 100644 static/img/diagrams/diag-syncingModel-1.svg create mode 100644 static/img/diagrams/diag-syncingModel-2.svg create mode 100644 static/img/diagrams/diag-syncingModel-3.svg create mode 100644 static/img/diagrams/diag-syncingModel-4.svg create mode 100644 static/img/diagrams/diag-timeDrivenMessages.svg create mode 100644 static/img/diagrams/diag-whiteboard-conflict.svg create mode 100644 static/img/diagrams/diag-whiteboard-demo-dual-latency.svg create mode 100644 static/img/diagrams/diag-whiteboard-demo-dual.svg diff --git a/src/components/Diagrams/allDiagrams.js b/src/components/Diagrams/allDiagrams.js new file mode 100644 index 0000000..f0d5ccc --- /dev/null +++ b/src/components/Diagrams/allDiagrams.js @@ -0,0 +1,33 @@ +import {Websockets, AbsoluteUpdates, Centralized, ConflictEdits, CRDT, DeltaUpdate, LongPolling, NewClientConnection, ONMessaging, ON2Messaging, OptimisticUI, OT, P2P, RelativeUpdate, StateUpdates, SyncingModel1, SyncingModel2, SyncingModel3, SyncingModel4, TimeDrivenMessages, WhiteboardDemo, WhiteboardDemoLatency } from '@site/src/components/Diagrams/index.js' + +const AllDiagrams = () => { + + return ( + <> + + + + + + + + + + + + + + + + + + + + + + + + ) +} + +export default AllDiagrams \ No newline at end of file diff --git a/src/components/Diagrams/index.js b/src/components/Diagrams/index.js index 0481612..5eeb1b6 100644 --- a/src/components/Diagrams/index.js +++ b/src/components/Diagrams/index.js @@ -4,4 +4,196 @@ export const Websockets = () => { data="/img/diagrams/diag-websocket-handshake.svg" className="w-96" > +} + +export const AbsoluteUpdates = () => { + return +} + +export const Centralized = () => { + return +} + +export const ConflictEdits = () => { + return +} + +export const CRDT = () => { + return +} + +export const DeltaUpdate = () => { + return +} + +export const LongPolling = () => { + return +} + +export const NewClientConnection = () => { + return +} + +export const ONMessaging = () => { + return +} + +export const ON2Messaging = () => { + return +} + +export const OptimisticUI = () => { + return +} + +export const OT = () => { + return +} + +export const P2P = () => { + return +} + +export const RelativeUpdate = () => { + return +} + +export const StateUpdates = () => { + return +} + +export const SyncingModel1 = () => { + return +} + +export const SyncingModel2 = () => { + return +} + +export const SyncingModel3 = () => { + return +} + +export const SyncingModel4 = () => { + return +} + +export const TimeDrivenMessages = () => { + return +} + +export const WhiteboardConflict = () => { + return +} + +export const WhiteboardDemo = () => { + return +} + +export const WhiteboardDemoLatency = () => { + return +} + +export const NoConflictEdits = () => { + return +} + +export const Template = () => { + return } \ No newline at end of file diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index 6f24776..2c046e4 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -2,9 +2,33 @@ import LatencySlider from '@site/src/components/LatencySlider/LatencySlider' import TodoList from '@site/src/components/TodoList/TodoList' import Tabs from '@theme/Tabs' import TabItem from '@theme/TabItem' -import { Websockets } from '@site/src/components/Diagrams/index.js' - - +import AllDiagrams from '@site/src/components/Diagrams/allDiagrams.js' +import { + Websockets, + AbsoluteUpdates, + Centralized, + ConflictEdits, + CRDT, + DeltaUpdate, + LongPolling, + NewClientConnection, + ONMessaging, + ON2Messaging, + OptimisticUI, + OT, + P2P, + RelativeUpdate, + StateUpdates, + SyncingModel1, + SyncingModel2, + SyncingModel3, + SyncingModel4, + TimeDrivenMessages, + WhiteboardConflict, + WhiteboardDemo, + WhiteboardDemoLatency, + NoConflictEdits, +} from '@site/src/components/Diagrams/index.js' # Overview @@ -27,7 +51,7 @@ Broadly, real-time collaboration is a term used to describe software or technolo With the rise of [remote work and distributed teams](https://medium.com/@anupamr/distributed-teams-are-the-new-cloud-for-startups-14240a9822d7), apps like these [are becoming critical in the modern work environment](https://northzone.com/2023/06/20/perspectives-the-rise-of-multiplayer-software/). Well-known examples include Google Docs, Figma, and Notion among others: -[graphic here] +[TODO graphic here] While [a broader definition](https://www.microsoft.com/en-us/microsoft-365/business-insights-ideas/resources/real-time-collaboration-what-it-is-and-how-it-helps-your-business) of real-time collaboration applications can include video conferencing and messaging software, those types of applications have different technical requirements and will be excluded from the scope of this case study. @@ -38,9 +62,11 @@ At a fundamental level when multiple users are “collaborating” on the same a - Centralized - Decentralized -Centralized includes the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally [authoritative](https://medium.com/mighty-bear-games/what-are-server-authoritative-realtime-games-e2463db534d1), meaning it is the source of truth. + + +- **Centralized** includes the client-server architecture where client machines send resource requests to a backend server. In the client-server architecture, the server is generally [authoritative](https://medium.com/mighty-bear-games/what-are-server-authoritative-realtime-games-e2463db534d1), meaning it is the source of truth. -[insert P2P] + - **Decentralized** such as the peer-to-peer architecture where every machine (known as a node) is treated equally and responsible for sending and responding to requests for resources. In the peer-to-peer architecture, every machine has equal authority and a consensus must usually be reached to determine the truth. @@ -82,7 +108,7 @@ Note that using [streams over HTTP/2](https://getstream.io/blog/communication-pr Long polling is a technique to emulate server push communications via normal HTTP requests. Long polling works like this: -[graphic here] + Although every browser supports long polling, it has high latency compared to other options such as WebSockets, and a risk of missing messages without extensive code on the client and server. Therefore, long polling [is generally better suited as a fallback option as opposed to a primary means of bi-directional communication](https://ably.com/topic/long-polling#:~:text=HTTP%20long%20polling%20solves%20the,make%20requests%20and%20servers%20respond.). @@ -90,7 +116,7 @@ Although every browser supports long polling, it has high latency compared to ot [WebSockets](https://developer.mozilla.org/en-US/docs/Web/API/WebSocket?retiredLocale=de) is an application layer protocol that provides a [full-duplex](https://www.comms-express.com/infozone/article/half-full-duplex/) communication channel over a single, long-lived connection between the client and server. This means that similar to a phone call, the connection from the client to the server will stay open as long the network is not interrupted and neither the client nor the server actively terminates it. This open connection enables clients and servers to freely exchange data without the overhead of the HTTP request-response cycle, but because it is built on top of [TCP](https://www.ibm.com/docs/ro/aix/7.1?topic=protocols-transmission-control-protocol), it still has guaranteed in-order message delivery. WebSockets work like this: -[graphic here] + Once the handshake is complete, the WebSocket connection is established and both parties are now free to transmit data at any time. @@ -118,7 +144,7 @@ To better illustrate the concepts of the current and subsequent sections in our In our example whiteboard application, all users expect to simultaneously see the same shapes (i.e. a consistent application state) so that they can react and respond accordingly: -[graphic here] + If we assume the app is using a client-server architecture where the clients do not hold any state of their own (i.e. [thin clients](https://www.fortinet.com/resources/cyberglossary/thin-client)), the change-initiating client would need to wait until the change is received and confirmed by the server and then propagated to all clients before seeing the change reflected in its state. @@ -128,7 +154,7 @@ One may assume that because our application is using WebSockets, the information Using our whiteboard example, you can see that the users have a different experience when latency is introduced: -[graphic here] + To increase consistency in our application, we will now explore [tools and techniques](https://developer.mozilla.org/en-US/docs/Web/Performance) to help us reduce latency. @@ -148,11 +174,11 @@ Finally, [optimistically updating the client’s UI](https://javascript.plaineng Optimistic UI works like this: -[graphic here] + An important implication of implementing optimistic UI is that each client has a local replica of the state that must be kept in sync with the server. Thus using it in our whiteboard app means that it now has distributed state. [Figma uses this same technique](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) - when a client opens a Figma design file, a copy of the document is sent from the server to the client and it must be kept in sync: -[graphic here] + However, as we’ll see in the next section, maintaining multiple copies of client state and a server state in the context of shared editing means conflicts can and will arise. @@ -160,7 +186,7 @@ However, as we’ll see in the next section, maintaining multiple copies of clie Since the advent of Google Docs, the ability for multiple clients to simultaneously edit a document has [become commonplace](https://diginomica.com/brief-history-collaborative-documents). However, simultaneous editing [invariably leads to shared state conflicts](https://rocicorp.dev/blog/ready-player-two) because multiple clients can make changes to the same part of the state at the same time. Using our whiteboard app as a demonstration let’s say client A decides that they want to change the color of an existing blue shape to green, while client B decides they want to change the color of the same shape to red at the same time: -[graphic here] + If these changes occur simultaneously, a conflict clearly occurs and to maintain a consistent, synchronized view across clients (i.e. state convergence), there must be some kind of conflict-resolution strategy in place @@ -180,21 +206,21 @@ However, before comparing strategies, it is worth reiterating that the initial d This means that if a change is intended to be applied relative to the current state (e.g. adding 1 to a count shared across multiple clients), multiple changes that could be considered conflicting would be stacked on top of each other instead. For example: -[graphic here] + However, if a change is meant to be [deterministic](https://en.wikipedia.org/wiki/Deterministic_algorithm), meaning the same outcome is produced based on the same input (e.g. changing the color of shape), multiple changes to that property would result in the last one to arrive as the outcome: -[graphic here] + The process of transactional conflict resolution is somewhat simple to reason about. If two clients make a concurrent change to the same object but modify a different property, no conflicts occur. Because clients only send the intent of a change, these can both be processed in the order of arrival by the server -[graphic here] + When concurrent changes occur to the same property, a conflict occurs. By default, the server resolves this conflict using a simple [Last Write Wins](https://dzone.com/articles/conflict-resolution-using-last-write-wins-vs-crdts) (LWW) approach. The server then broadcasts the resolved state to all clients. -[graphic here] + However, depending on the application, it is possible to build in any custom conflict resolution that would override the default Last Write Wins Behavior @@ -209,7 +235,7 @@ A CRDT is a technique to solve conflicts using [a complex data structure that re We will use a simple operation-based CRDT example to demonstrate how they work in a broad sense: -[graphic here] + Generally, although CRDTs [can be used in server authority models](https://exaspark.medium.com/top-5-ways-to-implement-real-time-rich-text-editor-ranked-by-complexity-3bc26e3c777f), they are best suited [for decentralized systems](https://www.figma.com/blog/how-figmas-multiplayer-technology-works/) because they do not require an authoritative server. CRDTs are also a strong fit for [applications with offline support](https://exaspark.medium.com/top-5-ways-to-implement-real-time-rich-text-editor-ranked-by-complexity-3bc26e3c777f) because the data structure can preserve edits by an offline client and automatically merge them when the client regains connectivity. @@ -219,7 +245,7 @@ However, CRDTs require a lot of [computational and bandwidth overhead](https://w OT is a technique to solve conflicts using [a set of algorithms that compare concurrent operations]() and detect if the operations will allow the state to converge. If not, the operations are modified (or transformed) to resolve conflicts before being applied to the state: -[graphic here] + Much like CRDTs, OT is known to be complex to reason about and can [theoretically be implemented in a distributed fashion](https://digitalfreepen.com/2018/01/04/operational-transform-hard.html), however, it is overly complex so most OT implementations rely on a central server, which is still complex to implement itself. @@ -281,62 +307,64 @@ Syncosaurus is a React Javascript client-side SDK with full ready-to-be-deployed Similar to commercial solutions like Liveblocks and Reflect, Syncosaurus exposes a client-side SDK while abstracting the backend logic and handling much of the deployment - the only thing a developer has to do to get the backend deployed is sign up for a Cloudflare account and use our CLI to deploy. However, unlike the commercial solutions, the Syncosaurus framework is free to use and open source so a developer can alter the default backend code if they choose. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
DIYLiveblocksReflectSyncosaurus
Open-source✅❌❌✅
Managed Service❌✅✅❌
Easy to Deploy❌✅✅✅
Conflict Resolution MechanismAnyCRDTsTransactional Conflict ResolutionTransactional Conflict Resolution
Authentication Support✅✅✅✅
Offline Client Support✅✅✅❌
Analytics✅✅✅✅
DIYLiveblocksReflectSyncosaurus
Open-source✅❌❌✅
Managed Service❌✅✅❌
Easy to Deploy❌✅✅✅
Conflict Resolution MechanismAnyCRDTsTransactional Conflict ResolutionTransactional Conflict Resolution
Authentication Support✅✅✅✅
Offline Client Support✅✅✅❌
Analytics✅✅✅✅
# Using Syncosaurus @@ -350,15 +378,15 @@ As mentioned, Syncosaurus uses a real-time syncing model with transactional conf - When a client makes a change to state, it is immediately applied to the client’s locally and the client places a copy of the intent of the change (i.e. a state mutation) in a pending queue. - Next, the mutation is sent across the WebSocket connection to the Syncosaurus server. -[graphic here] + - Once the change is made to the authoritative state, the server sends a confirmation update to the client, which the client then uses to update its state to match the server and remove the pending state mutation from the queue. -[graphic here] + - When more than one client is connected to a given room, any mutations from one client are broadcast to all other clients by the server. Because an update from the server is authoritative, all client states are guaranteed to converge. -[graphic here] + ## Development @@ -370,7 +398,7 @@ The first step to use Syncosaurus is to install the CLI tool by running `npm ins Next one can choose to add Syncosaurus to an existing React project using `npx syncosaurus setup` or create a project from scratch using `npx syncosaurus init` -[insert nice CLI graphic / gif] +[TODO insert nice CLI graphic / gif] ### Create and launch @@ -544,7 +572,7 @@ Go ahead and enter some todos into Client 1 and watch them appear on Client 2 af After you’re satisfied with the local version of the application, it can be deployed to Cloudflare by running `npx syncosaurus deploy`. Your deployed Cloudflare architecture will consist of Cloudflare Workers and Durable Objects. For each room your clients create, a new Durable Object will be created and any client will be able to connect to it through a worker: -[insert screenshot of architecture] +[TODO insert screenshot of architecture] ## Monitoring @@ -552,7 +580,7 @@ After your application is deployed, you can monitor its usage and get help debug The dashboard includes hourly time-series metrics related to errors and usage for each room so you can verify users are able to access and use the application in a bug-free manner -[insert screenshot of dashboard] +[TODO insert screenshot of dashboard] For even more detail, a tail logging session for your deployed backend can be started by running `npx syncosaurus tail` @@ -568,7 +596,7 @@ Before we can discuss the architecture of Syncosaurus, it’s important to summa - Multiple concurrent rooms (maintaining WebSocket connections and broadcasting messages) - Persistent storage of documents -[insert graphic of multiple rooms with clients connected and a new client trying to connect to a particular room] +[TODO insert graphic of multiple rooms with clients connected and a new client trying to connect to a particular room] ## Architecture @@ -594,13 +622,13 @@ When choosing a provider to build on, we narrowed in on a couple of options. First, we could have built our serverless edge infrastructure using a combination of AWS Lambda@Edge, Amazon API Gateway, and a persistent storage mechanism like AWS Dynamo DB: -[insert graphic] +[TODO insert graphic] While this is a valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. As previously mentioned, we instead ended up choosing a Cloudflare-based architecture consisting of Workers and Durable Objects due to its simplicity and extremely strong fit for our use case. -[insert graphic] +[TODO insert graphic] A Worker is an edge-based serverless function on the Cloudflare network. A Durable Object (DO) is a special type of Worker - a globally unique [JavaScript isolate ](https://v8docs.nodesource.com/node-0.8/d5/dda/classv8_1_1_isolate.html)(a unique JS engine) with access to its own private strongly consistent [storage](https://developers.cloudflare.com/durable-objects/api/transactional-storage-api/) and built-in [caching](https://developers.cloudflare.com/durable-objects/reference/in-memory-state/#:~:text=The%20Durable%20Object's%20storage%20has,be%20instantly%20returned%20from%20cache.). @@ -616,14 +644,18 @@ When engineering Syncosuaurus, we had to be thoughtful about the efficiency of t ### Challenge: Authoritative Update Size -A naive implementation of authoritative updates sent from the server to clients would be to broadcast the entire state from the server to all clients when each change occurs. However, an issue with this approach is that as the document grows in size, the message size containing the authoritative state sent from the server to the client will grow equivalently. This has two consequences: +A naive implementation of authoritative updates sent from the server to clients would be to broadcast the entire state from the server to all clients when each change occurs. + + + +However, an issue with this approach is that as the document grows in size, the message size containing the authoritative state sent from the server to the client will grow equivalently. This has two consequences: - Larger update sizes mean that the WebSocket messages will take longer to transmit - Once a message arrives at the client, it will take longer to process and update its entire local state An alternative approach to prevent this is to send an update that only contains the changes that the server, also known as a [delta update](https://en.wikipedia.org/wiki/Delta_update) approach: -[insert example delta update message example here] + We ultimately decided on the delta update approach for the efficiency gains, however, this decision introduced the risk that a missed update by a client could lead to a divergent state. @@ -633,7 +665,7 @@ As mentioned, a risk of using delta updates is the heightened potential for miss To do so, we implemented an incrementing `batchID` which is sent by the DO as a property on every update message broadcasted to the clients. Each client tracks the `batchID` of the last message it received from the DO and when it receives a new message, it compares the previous `batchID` against the new one to determine if it missed an update. If a client misses an update, it sends a special request to the DO for a copy of the entire latest state. -[insert diagram of process] +[TODO insert diagram of process] Note that sending only the delta updates missed could reduce the state recovery message size and latency, however, the DO currently does not keep a log of the updates it broadcasts. This is an area for future investigation since it would likely create greater memory and storage demands on the DO. @@ -650,7 +682,7 @@ Using an event-driven model means that for every message sent by a single client If we assume all clients are sending messages simultaneously and we are targeting a certain message per second rate (i.e. [frame rate per second (FPS)](https://www.100ms.live/blog/frame-rate#)) broadcasting would scale at a rate of O(M^2\*N) where N represents the number of messages sent per second by a single client. -[insert graphic] + In [testing](https://news.ycombinator.com/item?id=37942258) done by Reflect, the target budget of a DO should be approximately 2,000 calls per second to `WebSocket.send `(a call to transmit a message over a WebSocket connection). This means, that if an app wants to target 60 FPS (a standard [in gaming](https://www.100ms.live/blog/frame-rate#)) it can only have 6 concurrent users (60 messages/second = 2000 calls / (6 users^2)). While a 6-user limit is suitable for some applications, it does shrink the pool of applications Syncosaurus could support. @@ -658,13 +690,13 @@ In [testing](https://news.ycombinator.com/item?id=37942258) done by Reflect, the A time-driven model means that the DO would group state changes into a single update and send out a periodic message based on a configurable time frequency. -[insert graphic] + This frequency directly correlates with the frame rate and makes the messaging system scale at a rate of O(M\*N). Therefore, if an app wanted to target 60 FPS (approximately every 16ms), it can support up to 33 concurrent connections. The tradeoff with this approach is that a message will be sent whether an update has occurred or not, meaning there may be unnecessary empty messages sent. However, we decided this tradeoff was worth it to make our messaging more efficient (message scales at a rate of O(M*N) instead of O(M^2 * N)) and to expand the pool of Syncosaurus-compatible applications. -[insert graphic] + ### Challenge: Re-rendering and Subscriptions @@ -672,7 +704,7 @@ An additional consideration was reducing unnecessary client-side rendering in Re To make subscriptions fit React’s granular rendering model, we decided to allow developers to write query functions on per component basis that indicate which keys in the local store they want to watch for updates (known as a key “watchlist”). Furthermore, by allowing subscriptions to accept a query callback, the developer can transform data in this callback before returning the value to React to be rendered. Finally, an additional mechanism we put in place to reduce unnecessary re-renders was a check to ensure the result of the query had changed since its last rerender (i.e. memoization), otherwise a new render would not be initiated. -[insert diagram of process] +[TODO insert diagram of process] Though, there may be additional memory overhead with memoizing query results and maintaining a key watchlist, eliminating unnecessary UI re-renders and making subscriptions more robust leads to a snappier UI and gives developers more control over the rendering of their application, respectively. @@ -694,7 +726,7 @@ The Syncosaurus framework supports token-based authentication that allows a deve As demonstrated, Syncosaurus includes an analytics tool to easily view and analyze aggregate and single-room metrics for an application. The dashboard allows a developer to gain insights into usage and debug their application if necessary. The architecture for the analytics dashboard displays data from Cloudflare’s endpoints and visualizes it in a locally running front-end application that pulls from a custom-built GraphQL backend: -[insert graphic] +[TODO insert graphic] # Future of Syncosaurus diff --git a/static/img/diagrams/diag-CRDT.svg b/static/img/diagrams/diag-CRDT.svg new file mode 100644 index 0000000..f365c68 --- /dev/null +++ b/static/img/diagrams/diag-CRDT.svg @@ -0,0 +1,122 @@ + +Client 1 + +H + +0a + +e + +1a + +l + +2a + +o + +3a + +l + +4a + +! + +4b + +insert ' + +l + +' with ID + +4a + + after + +2a + +Client 2 + +H + +0a + +e + +1a + +l + +2a + +o + +3a + +! + +4b + +l + +4a + +insert ' + +! + +' with ID + +4b + + after + +3a + +Client 1 + +H + +0a + +e + +1a + +l + +2a + +o + +3a + +Client 2 + +H + +0a + +e + +1a + +l + +2a + +o + +3a + + + + + diff --git a/static/img/diagrams/diag-DeltaUpdates.svg b/static/img/diagrams/diag-DeltaUpdates.svg new file mode 100644 index 0000000..00131dd --- /dev/null +++ b/static/img/diagrams/diag-DeltaUpdates.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-ON-messaging.svg b/static/img/diagrams/diag-ON-messaging.svg new file mode 100644 index 0000000..fc50d39 --- /dev/null +++ b/static/img/diagrams/diag-ON-messaging.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-ON2-messaging.svg b/static/img/diagrams/diag-ON2-messaging.svg new file mode 100644 index 0000000..58c651c --- /dev/null +++ b/static/img/diagrams/diag-ON2-messaging.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-OT.svg b/static/img/diagrams/diag-OT.svg new file mode 100644 index 0000000..25b76b3 --- /dev/null +++ b/static/img/diagrams/diag-OT.svg @@ -0,0 +1,94 @@ + +Client 2 + +ab + +c + +x + +0    1   + +2 + +delete + +char + + at position + +2 + +Client 1 + +ab + +c + +x + +0    1    2 + +3 + +insert ' + +x + +' at position + +0 + +3 + +Client 2 + +ab + +c + +x + +0    1   + +2 + +delete + +char + + at position + +2 + +Client 1 + +ab + +c + +x + +0    1    2 + +3 + +insert ' + +x + +' at position + +0 + +3 + + + + + diff --git a/static/img/diagrams/diag-StateUpdates.svg b/static/img/diagrams/diag-StateUpdates.svg new file mode 100644 index 0000000..1635de4 --- /dev/null +++ b/static/img/diagrams/diag-StateUpdates.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-absolute-update.svg b/static/img/diagrams/diag-absolute-update.svg new file mode 100644 index 0000000..db584eb --- /dev/null +++ b/static/img/diagrams/diag-absolute-update.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-centralized.svg b/static/img/diagrams/diag-centralized.svg new file mode 100644 index 0000000..167886d --- /dev/null +++ b/static/img/diagrams/diag-centralized.svg @@ -0,0 +1 @@ + diff --git a/static/img/diagrams/diag-conflict-edits.svg b/static/img/diagrams/diag-conflict-edits.svg new file mode 100644 index 0000000..e4a2945 --- /dev/null +++ b/static/img/diagrams/diag-conflict-edits.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-long-polling.svg b/static/img/diagrams/diag-long-polling.svg new file mode 100644 index 0000000..f912707 --- /dev/null +++ b/static/img/diagrams/diag-long-polling.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-new-client-connection.svg b/static/img/diagrams/diag-new-client-connection.svg new file mode 100644 index 0000000..05fb580 --- /dev/null +++ b/static/img/diagrams/diag-new-client-connection.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-no-conflict-edits.svg b/static/img/diagrams/diag-no-conflict-edits.svg new file mode 100644 index 0000000..c2ea07b --- /dev/null +++ b/static/img/diagrams/diag-no-conflict-edits.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-optimistic-ui.svg b/static/img/diagrams/diag-optimistic-ui.svg new file mode 100644 index 0000000..8f41473 --- /dev/null +++ b/static/img/diagrams/diag-optimistic-ui.svg @@ -0,0 +1,29 @@ + +interaction + +User + +nothing + + Do + +Interface + +Update + +to server + + Send mutation + +update? + + Successful + +no + +yes + + + diff --git a/static/img/diagrams/diag-p2p.svg b/static/img/diagrams/diag-p2p.svg new file mode 100644 index 0000000..4c9b733 --- /dev/null +++ b/static/img/diagrams/diag-p2p.svg @@ -0,0 +1 @@ + diff --git a/static/img/diagrams/diag-relative-update.svg b/static/img/diagrams/diag-relative-update.svg new file mode 100644 index 0000000..d5d5a62 --- /dev/null +++ b/static/img/diagrams/diag-relative-update.svg @@ -0,0 +1,30 @@ + +1 + +0 + +2 + +4 + ++1 + ++2 + ++1 + +-1 + +-1 + ++2 + + + + + diff --git a/static/img/diagrams/diag-syncingModel-1.svg b/static/img/diagrams/diag-syncingModel-1.svg new file mode 100644 index 0000000..b5a64e6 --- /dev/null +++ b/static/img/diagrams/diag-syncingModel-1.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-syncingModel-2.svg b/static/img/diagrams/diag-syncingModel-2.svg new file mode 100644 index 0000000..eced9bf --- /dev/null +++ b/static/img/diagrams/diag-syncingModel-2.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-syncingModel-3.svg b/static/img/diagrams/diag-syncingModel-3.svg new file mode 100644 index 0000000..0ba075c --- /dev/null +++ b/static/img/diagrams/diag-syncingModel-3.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-syncingModel-4.svg b/static/img/diagrams/diag-syncingModel-4.svg new file mode 100644 index 0000000..f556055 --- /dev/null +++ b/static/img/diagrams/diag-syncingModel-4.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-timeDrivenMessages.svg b/static/img/diagrams/diag-timeDrivenMessages.svg new file mode 100644 index 0000000..97563c8 --- /dev/null +++ b/static/img/diagrams/diag-timeDrivenMessages.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-whiteboard-conflict.svg b/static/img/diagrams/diag-whiteboard-conflict.svg new file mode 100644 index 0000000..e554984 --- /dev/null +++ b/static/img/diagrams/diag-whiteboard-conflict.svg @@ -0,0 +1,6 @@ + + + diff --git a/static/img/diagrams/diag-whiteboard-demo-dual-latency.svg b/static/img/diagrams/diag-whiteboard-demo-dual-latency.svg new file mode 100644 index 0000000..644b29e --- /dev/null +++ b/static/img/diagrams/diag-whiteboard-demo-dual-latency.svg @@ -0,0 +1,18 @@ + + Bob + +Alice + + Bob + +Alice + + + + + diff --git a/static/img/diagrams/diag-whiteboard-demo-dual.svg b/static/img/diagrams/diag-whiteboard-demo-dual.svg new file mode 100644 index 0000000..4fc6c51 --- /dev/null +++ b/static/img/diagrams/diag-whiteboard-demo-dual.svg @@ -0,0 +1,18 @@ + + Bob + +Alice + + Bob + +Alice + + + + + From 348c8ad2bb09f2a4f10b4de173522e248d19a78e Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Mon, 22 Apr 2024 18:41:57 -0700 Subject: [PATCH 11/13] bug(snippets): remove todo-list code files that cause docusaurus build errors Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- src/pages/todo-list-client.jsx | 62 --------------------------------- src/pages/todo-list-mutators.js | 14 -------- 2 files changed, 76 deletions(-) delete mode 100644 src/pages/todo-list-client.jsx delete mode 100644 src/pages/todo-list-mutators.js diff --git a/src/pages/todo-list-client.jsx b/src/pages/todo-list-client.jsx deleted file mode 100644 index c92a33f..0000000 --- a/src/pages/todo-list-client.jsx +++ /dev/null @@ -1,62 +0,0 @@ -// import { useState } from 'react' -// import Syncosaurus from 'syncosaurus' -// import { useSubscribe } from 'syncosaurus' -// import mutators from '../mutators.js' - -// const synco = new Syncosaurus({ -// mutators, -// userID: '1234', -// server: import.meta.env.VITE_DO_URL, -// }) - -// synco.launch('yourRoomID') - -// export default function App() { -// const [inputValue, setInputValue] = useState('') - -// function handleChange(e) { -// setInputValue(e.target.value) -// } - -// function handleSubmit(e) { -// e.preventDefault() -// synco.mutate.addTodo({ -// id: uuidv4(), -// text: inputValue, -// }) - -// setInputValue('') -// } - -// function handleDelete(id) { -// synco.mutate.removeTodo({ id }) -// } - -// const todos = useSubscribe( -// synco, -// tx => { -// let todoObject = tx.scan(key => { -// return key.includes('todo') -// }) -// return Object.values(todoObject) -// }, -// [] -// ) - -// return ( -//
-//
-// -// -//
-//
    -// {todos.map(todo => ( -//
  • -// {todo.text} -// -//
    • -// ))} -//
-//
-// ) -// } diff --git a/src/pages/todo-list-mutators.js b/src/pages/todo-list-mutators.js deleted file mode 100644 index d168b9e..0000000 --- a/src/pages/todo-list-mutators.js +++ /dev/null @@ -1,14 +0,0 @@ -// export default { -// addTodo, -// removeTodo, -// } - -// function addTodo(tx, { id, text }) { -// const todo = { id, text, complete: false } -// tx.set(`todo/${id}`, todo) -// return todo -// } - -// function removeTodo(tx, { id }) { -// tx.delete(`todo/${id}`) -// } From 2ee85526857ddb02e1f61dd73de4b8f346723973 Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Mon, 22 Apr 2024 19:48:33 -0700 Subject: [PATCH 12/13] feat(diag): syncing model diagrams Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- src/components/Diagrams/index.js | 48 +++++++++++++++++++------------- src/pages/case-study.mdx | 11 +++++--- 2 files changed, 35 insertions(+), 24 deletions(-) diff --git a/src/components/Diagrams/index.js b/src/components/Diagrams/index.js index 5eeb1b6..b5a2728 100644 --- a/src/components/Diagrams/index.js +++ b/src/components/Diagrams/index.js @@ -119,35 +119,43 @@ export const StateUpdates = () => { } export const SyncingModel1 = () => { - return + return
+ +
} export const SyncingModel2 = () => { - return + return
+ +
} export const SyncingModel3 = () => { - return + return
+ +
} export const SyncingModel4 = () => { - return + return
+ +
} export const TimeDrivenMessages = () => { diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index 2c046e4..a4c1357 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -375,19 +375,22 @@ To better understand Syncosaurus we will explore the syncing model and then walk As mentioned, Syncosaurus uses a real-time syncing model with transactional conflict resolution to keep state consistent across multiple clients: + + - When a client makes a change to state, it is immediately applied to the client’s locally and the client places a copy of the intent of the change (i.e. a state mutation) in a pending queue. -- Next, the mutation is sent across the WebSocket connection to the Syncosaurus server. - + -- Once the change is made to the authoritative state, the server sends a confirmation update to the client, which the client then uses to update its state to match the server and remove the pending state mutation from the queue. +- Next, the mutation is sent across the WebSocket connection to the Syncosaurus server. -- When more than one client is connected to a given room, any mutations from one client are broadcast to all other clients by the server. Because an update from the server is authoritative, all client states are guaranteed to converge. +- Once the change is made to the authoritative state, the server sends a confirmation update to the client, which the client then uses to update its state to match the server and remove the pending state mutation from the queue. +- When more than one client is connected to a given room, any mutations from one client are broadcast to all other clients by the server. Because an update from the server is authoritative, all client states are guaranteed to converge. + ## Development Now that we understand the fundamental syncing model of Syncosaurus, we will discuss how to use the framework. From af112f52e39e6c3f26002213573ec50abf2e8e10 Mon Sep 17 00:00:00 2001 From: Alex Sklar Date: Tue, 23 Apr 2024 10:13:18 -0700 Subject: [PATCH 13/13] feat(diag): add AWS diagram Co-authored-by: Erik Margetis Co-authored-by: Joseph Liang --- src/pages/case-study.mdx | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/src/pages/case-study.mdx b/src/pages/case-study.mdx index a4c1357..5773242 100644 --- a/src/pages/case-study.mdx +++ b/src/pages/case-study.mdx @@ -583,7 +583,7 @@ After your application is deployed, you can monitor its usage and get help debug The dashboard includes hourly time-series metrics related to errors and usage for each room so you can verify users are able to access and use the application in a bug-free manner -[TODO insert screenshot of dashboard] +dashboard screenshot For even more detail, a tail logging session for your deployed backend can be started by running `npx syncosaurus tail` @@ -625,7 +625,10 @@ When choosing a provider to build on, we narrowed in on a couple of options. First, we could have built our serverless edge infrastructure using a combination of AWS Lambda@Edge, Amazon API Gateway, and a persistent storage mechanism like AWS Dynamo DB: -[TODO insert graphic] +AWS Architecture Diagram While this is a valid approach, it does involve provisioning and connecting several components which can increase the complexity of deployment and maintenance. @@ -649,7 +652,7 @@ When engineering Syncosuaurus, we had to be thoughtful about the efficiency of t A naive implementation of authoritative updates sent from the server to clients would be to broadcast the entire state from the server to all clients when each change occurs. - + However, an issue with this approach is that as the document grows in size, the message size containing the authoritative state sent from the server to the client will grow equivalently. This has two consequences: