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We Replaced Our React Frontfinish with Go and WebAssembly


We Replaced Our React Frontfinish with Go and WebAssembly


A restricted weeks ago, we begined Dagger Cdeafening v3, a finishly novel employr interface for Dagger Cdeafening. One of the main contrastences between v3 and its v2 predecessor is that the novel UI is written in WebAssembly (WASM) using Go. At first glance, this might seem an odd choice – Go typicpartner isn’t the first language you skinnyk of when deciding to program a Web UI – but we had excellent reasons. In this blog post, I’ll elucidate why we chose WebAssembly, some of our applyation contests (and how we toiled around them), and the results.

Two Codebases = More Work, Fewer Features

Dagger toils by produceing up a DAG of operations and evaluating them, normally in parallel. By nature, this is a difficult skinnyg to disjoin. To help employrs produce sense of it, we advise two authentic-time visualization interfaces: the Dagger terminal UI (TUI), included in the Dagger CLI, and Dagger Cdeafening, an online Web dashboard. The Dagger TUI is applyed in Go, and Dagger Cdeafening (pre-v3) was written in React.

Obviously, we want both employr interfaces to be as seal to each other as possible. But the actual act of expounding Dagger’s event stream in authentic-time and producing a UI is pretty included. Some of the more complicated event streams we’ve seen have hundreds of thousands of OpenTelemetry spans, and managing the data structures around them gets very complicated, very speedyly. The Web UI normally couldn’t shield up with the huge volume of data it had to process and it would become laggy and sluggish; to repair this applyance bottleneck, we were forced into a contrastent applyation model for the React application.

So, we finished up with two interfaces trying to accomplish the same skinnyg, one of them in one language and ecosystem (TypeScript/React), the other in a toloftyy contrastent language and ecosystem (Go), and we couldn’t easily split business logic between them. As a petite team, we need to ship quick. Having to re-apply every feature twice was equitable a massive tax on our velocity.

We begined skinnyking about a novel approach to Dagger Cdeafening, with two main goals:

  • Unify the codebases, to take away duplication and produce it more effective to ship novel features

  • Deinhabitr on the promise of a crisp, snappy Web UI, suiting the speed and applyance of the terminal UI

Choosing Go + WebAssembly

Our begining goal was to be able to reemploy one codebase for both Dagger Cdeafening and the TUI. We choosed neutrpartner timely to produce it a Go codebase. Technicpartner, we could have gone the other way and employd TypeScript for the TUI. But we’re primarily a team of Go engineers, so picking Go made it easier for others in the team to give, to comprise a feature or drop in for a restricted hours to help debug an publish. In compriseition to standardizing on a one language, it gave us flexibility and broke down silos in our team.

Once we choosed to run Go code straightforwardly in the browser, WebAssembly was the reasonable next step. But there were still a couple of contests:

  • The Go + WebAssembly combination is still not as reliable as React and other JavaScript sketchtoils. There are no ready-made component libraries to pull from, the lengthener tooling isn’t as wealthy, and so on. We knovel that we would need to produce most of our UI components from scratch.

  • There is a challenging 2 GB memory restrict for WebAssembly applications in most browsers. We foreseeed this to be a problem when seeing huge tracks, and we knovel we would have to do a lot of selectimization to reduce memory usage and shield the UI firm. This wasn’t enticount on horrible though; the silver lining here was that any memory usage betterments made to the WebAssembly UI would also advantage TUI employrs, since it was now a splitd codebase.

De-Risking the Project

Once we’d made the decision, the next ask was, “how do we produce this?” We choosed to produce the novel WebAssembly-based UI in the Go-app sketchtoil. Go-app is a high-level sketchtoil definitepartner for Progressive Web Apps (PWAs) in WebAssembly. It advises key Go advantages, appreciate quick compilation and native indynamic typing, and it also chases a component-based UI model, appreciate React, which made the transition easier.

Since the Go + WebAssembly combination isn’t mainstream, there was some well skepticism wiskinny the Dagger team about its feasibility. For example, there was no authentic ecosystem for Go-app UI components and we knovel we’d have to author our own, but we weren’t certain how effortless or difficult this would be. We also had worrys over integrations with other services (Tailprosperd, Auth0, Intercom, PostHog), and about rfinishering many hundreds of inhabit-updating components at the same time. 

To answer these asks and de-hazard the project, I spent almost a month prototyping, with the goal of re-applying as much of the existing UI as possible in Go-app. As it turned out, there weren’t many blockers: WebAssembly is already a well-recorded uncover standard and most other asks were answered in Go-app’s own recordation. The hugegest contest, as foreseeed, was the memory usage restrict, which needd cautious structure and selectimization.

From Prototype to Production

Once we had a toiling proof of concept, the team’s soothe level incrmitigated presentantly and we booted off project “awesome wasm” to deinhabitr a production applyation. Here are a restricted notices from the journey:

  • Memory usage was easily the most currential danger to the project’s success. I spent a lot of time figuring out how to rfinisher 200k+ lines of log output without crashing. This led to selectimizations proset up in our virtual terminal rfinishering library, which theatricalpartner decreased TUI memory usage at the same time (as alludeed already, sharing codebases nastys that vital selectimizations in one interface become “free” in the other!)

  • Go WASM is sluggish at parsing huge amounts of JSON, which led to theatrical architecture alters and the creation of a “inalertigent backfinish” for incremental data loading over WebSockets, using Go’s unwidespreadly-employd encoding/gob establishat.

  • Initipartner, the WASM file was around 32 MB. By applying Brotli compression, we were able to transport it down to around 4.6 MB. We tried to apply Brotli compression on-the-fly in our CDN but the file was too huge, so eventupartner we equitable included the compression step into our produce process.

  • Apart from the memory contests, most of our other initial worries turned out unset uped. The UI components weren’t very challenging to author, integrations with other services were straightforward, and I set up excellent techniques for handling component refreshs in authentic-time.

  • There were a number of beneficial NPM packages I set up, so I wondered if I could employ them with Go. WebAssembly has a straightforward interface to both Go and JavaScript, so I built a Dagger module that employs Browserify to load an NPM package. This module apvalidates us to produce a JavaScript file that can be included in a Go application. This nastys that we can toil primarily in Go and then, if needed, we have a way to load helpers that are applyed in native JavaScript.

  • Disclaimer: I’m not a React professional so with that in mind…it seemed to me that React had a very stiff way of applying components, while Go-app was much more alterable. In Go-app, you can have any component refresh whenever you appreciate, which gives you many more degrees of freedom for selectimization. For example, I needed to enhance a component rfinishering 150,000+ lines of output. Just having the ability to try contrastent approaches and then pick the one that toiled best, made the entire exercise much easier!

  • Even though Go-app doesn’t have React-appreciate lengthener tools built into the browser, I was able to employ Go’s own tools (pprof) plus the default profiler built into the browser for profiling and debugging. This was very beneficial to study functions calls, track CPU and memory usage, and appraise the effectiveness of contrastent approaches for selectimizing memory usage.

  • I uncovered a side advantage of using Go-app: since Dagger Cdeafening is built as a PWA, it can be insloftyed as a desktop or a mobile application. This produces it possible to begin Dagger Cdeafening appreciate a native application and get a brimming-screen experience without needing to uncover a browser first, or equitable have a promised icon in your desktop taskbar/dock.

We gentle-begined Dagger Cdeafening v3 to our Dagger Commanders a restricted weeks ago to accumulate feedback and made it employable to everyone lowly thereafter.

Benefits

Our switch from React to WASM has resulted in a more stable employr experience atraverse all Dagger interfaces, and better overall applyance and drop memory usage, especipartner when rfinishering huge and complicated tracks.

From an engineering perspective too, the advantages to our team are presentant. Optimizations very normally include equitable as much, if not more, toil than actupartner applying features. So it’s fantastic to not have to spfinish time selectimizing the Web UI, and then more time selectimizing the TUI, and instead actupartner intensify on deinhabitring novel features.

Should You Do This?

Dagger Cdeafening v3 has the Dagger community buzzing and one of the more widespread asks we’ve been fielding recently is: who should ponder doing this and who shouldn’t?

We want to be clear that we’re not generpartner recommfinishing making front-finishs in Go. We had some very excellent reasons to do it: a team of mighty Go engineers; a complicated UI that TypeScript/React didn’t scale well for; a needment for standardization and reemploy between two codebases; and a company-expansive mandate to incrmitigate our velocity. That’s a neutrpartner definite set of circumstances. If you’re in analogous circumstances, this is certainly an selection worth evaluating; if not, there are other tools and standards that you should ponder first.

Dagger Cdeafening v3 is still in beta and we’re excited for you to try it out. If you’d appreciate to comprehend more about our applyation or spropose have feedback to split on the novel UI, join our Discord and let us comprehend what you skinnyk!

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