Tag Archives: Wrangler

Trailblazing a Development Environment for Workers

Post Syndicated from Avery Harnish original https://blog.cloudflare.com/trailblazing-a-development-environment-for-workers/

Trailblazing a Development Environment for Workers

Trailblazing a Development Environment for Workers

When I arrived at Cloudflare for an internship in the summer of 2018, I was taken on a tour, introduced to my mentor who took me out for coffee (shoutout to Preston), and given a quick whiteboard overview of how Cloudflare works. Each of the interns would work on a small project of their own and they’d try to finish them by the end of the summer. The description of the project I was given on my very first day read something along the lines of “implementing signed exchanges in a Cloudflare Worker to fix the AMP URL attribution problem,” which was a lot to take in at once. I asked so many questions those first couple of weeks. What are signed exchanges? Can I put these stickers on my laptop? What’s a Cloudflare Worker? Is there a limit to how much Topo Chico I can take from the fridge? What’s the AMP URL attribution problem? Where’s the bathroom?

I got the answers to all of those questions (and more!) and eventually landed a full-time job at Cloudflare. Here’s the story of my internship and working on the Workers Developer Experience team at Cloudflare.

Getting Started with Workers in 2018

After doing a lot of reading, and asking a lot more questions, it was time to start coding. I set up a Cloudflare account with a Workers subscription, and was greeted with a page that looked something like this:

Trailblazing a Development Environment for Workers

I was able to change the code in the text area on the left, click “Update”, and the changes would be reflected on the right — fairly self-explanatory. There was also a testing tab which allowed me to handcraft HTTP requests with different methods and custom headers. So far so good.

As my project evolved, it became clear that I needed to leave the Workers editor behind. Anything more than a one-off script tends to require JavaScript modules and multiple files. I spent some time setting up a local development environment for myself with npm and webpack (see, purgatory: a place or state of temporary suffering. merriam-webster.com).

After I finally got everything working, my iteration cycle looked a bit like this:

  1. Make a change to my code
  2. Run npm run build (which ran webpack and bundled my code in a single script)
  3. Open ./dist/worker.min.js (the output from my build step)
  4. Copy the entire contents of the built Worker to my clipboard
  5. Switch to the Cloudflare Workers Dashboard
  6. Paste my script into the Workers editor
  7. Click update
  8. Investigate the behavior of my recently modified script
  9. Rinse and repeat

There were two main things here that were decidedly not a fantastic developer experience:

  1. Inspecting the value of a variable by adding a console.log statement would take me ~2-3 minutes and involved lots of manual steps to perform a full rebuild.
  2. I was unable to use familiar HTTP clients such as cURL and Postman without deploying to production. This was because the Workers Preview UI was an iframe nested in the dashboard.

Luckily for me, Cloudflare Workers deploy globally incredibly quickly, so I could push the latest iteration of my Worker, wait just a few seconds for it to go live, and cURL away.

A Better Workers Developer Experience in 2019

Shortly after we shipped AMP Real URL, Cloudflare released Wrangler, the official CLI tool for developing Workers, and I was hired full time to work on it. Wrangler came with a feature that automated steps 2-7 of my workflow by running the command wrangler preview, which was a significant improvement. Running the command would build my Worker and open the browser automatically for me so I could see log messages and test out HTTP requests. That summer, our intern Matt Alonso created wrangler preview --watch. This command automatically updates the Workers preview window when changes are made to your code. You can read more about that here. This was, yet again, another improvement over my old friend Build and Open and Copy and Switch Windows and Paste Forever and Ever, Amen. But there was still no way that I could test my Worker with any HTTP client I wanted without deploying to production — I was still locked in to using the nested iframe.

A few months ago we decided it was time to do something about it. To the whiteboard!

Enter wrangler dev

Most web developers are familiar with developing their applications on localhost, and since Wrangler is written in Rust, it means we could start up a server on localhost that would handle requests to a Worker. The idea was to somehow start a server on localhost and then transform incoming requests and send them off to a preview session running on a Cloudflare server.

Proof of Concept

What we came up with ended up looking a little something like this — when a developer runs wrangler dev, do the following:

Trailblazing a Development Environment for Workers

  1. Build the Worker
  2. Upload the Worker via the Cloudflare API as a previewable Worker
  3. The Cloudflare API takes the uploaded script and creates a preview session, and returns an access token
  4. Start listening for incoming HTTP requests at localhost:8787

Top secret fact: 8787 spells out Rust on a phone numpad Happy Easter!

  1. All incoming requests to localhost:8787 are modified:

  • All headers are prepended with cf-ew-raw- (for instance, X-Auth-Header would become cf-ew-raw-X-Auth-Header)
  • The URL is changed to https://rawhttp.cloudflareworkers.com/${path}
  • The Host header is changed to rawhttp.cloudflareworkers.com
  • The cf-ew-preview header is added with the access token returned from the API in step 3

  1. After sending this request, the response is modified

  • All headers not prefixed with cf-ew-raw- are discarded and headers with the prefix have it removed (for instance, cf-ew-raw-X-Auth-Success would become X-Auth-Success)

The hard part here was already done — the Workers Core team had already implemented the API to support the Preview UI. We just needed to gently nudge Wrangler and the API to be the best of friends. After some investigation into Rust’s HTTP ecosystem, we settled on using the HTTP library hyper, which I highly recommend if you’re in need of a low level HTTP library — it’s fast, correct, and the ergonomics are constantly improving. After a bit of work, we got a prototype working and carved Wrangler ❤️ Cloudflare API into the old oak tree down by Lady Bird Lake.


Let’s say I have a Workers script that looks like this:

addEventListener('fetch', event => {

async function handleRequest(request) {
  let message = "Hello, World!"
  return new Response(message)

If I created a Wrangler project with this code and ran wrangler dev, this is what it looked like:

$ wrangler dev
👂  Listening on

In another terminal session, I could run the following:

$ curl localhost:8787
Hello, World!

It worked! Hooray!

Just the Right Amount of Scope Creep

At this point, our initial goal was complete: any HTTP client could test out a Worker before it was deployed. However, wrangler dev was still missing crucial functionality. When running wrangler preview, it’s possible to view console.log output in the browser editor. This is incredibly useful for debugging Workers applications, and something with a name like wrangler dev should include a way to view those logs as well. “This will be easy,” I said, not yet knowing what I was signing up for. Buckle up!

console.log, V8, and the Chrome Devtools Protocol, Oh My!

My first goal was to get a Hello, World! message streamed to my terminal session so that developers can debug their applications using wrangler dev. Let’s take the script from earlier and add a console.log statement to it:

addEventListener('fetch', event => {

async function handleRequest(request) {
  let message = "Hello, World!"
  console.log(message) // this line is new
  return new Response(message)

If you’d like to follow along, you can paste that script into the editor at cloudflareworkers.com using Google Chrome.

This is what the Preview editor looks like when that script is run:

Trailblazing a Development Environment for Workers

You can see that Hello, World! has been printed to the console. This may not be the most useful example, but in more complex applications logging different variables is helpful for debugging. If you’re following along, try changing console.log(message) to something more interesting, like console.log(request.url).

The console may look familiar to you if you’re a web developer because it’s the same interface you see when you open the Developer Tools in Google Chrome. Since Cloudflare Workers is built on top of V8 (more info about that here and here), the Workers runtime is able to create a WebSocket that speaks the Chrome Devtools Protocol. This protocol allows the client (your browser, Wrangler, or anything else that supports WebSockets) to send and receive messages that contain information about the script that is running.

In order to see the messages that are being sent back and forth between our browser and the Workers runtime:

  1. Open Chrome Devtools
  2. Click the Network tab at the top of the inspector
  3. Click the filter icon underneath the Network tab (it looks like a funnel and is nested between the cancel icon and the search icon)
  4. Click WS to filter out all requests but WebSocket connections

Your inspector should look like this:

Trailblazing a Development Environment for Workers

Then, reload the page, and select the /inspect item to view its messages. It should look like this:

Trailblazing a Development Environment for Workers

Hey look at that! We can see messages that our browser sent to the Workers runtime to enable different portions of the developer tools for this Worker, and we can see that the runtime sent back our Hello, World! Pretty cool!

On the Wrangler side of things, all we had to do to get started was initialize a WebSocket connection for the current Worker, and send a message with the method Runtime.enable so the Workers runtime would enable the Runtime domain and start sending console.log messages from our script.

After those initial steps, it quickly became clear that a lot more work was needed to get to a useful developer tool. There’s a lot that goes into the Chrome Devtools Inspector and most of the libraries for interacting with it are written in languages other than Rust (which we use for Wrangler). We spent a lot of time switching WebSocket libraries due to incompatibilities across operating systems (turns out TLS is hard) and implementing the part of the Chrome Devtools Protocol in Rust that we needed to. There’s a lot of work that still needs to be done in order to make wrangler dev a top notch developer tool, but we wanted to get it into the hands of developers as quickly as possible.

Try it Out!

wrangler dev is currently in alpha, and we’d love it if you could try it out! You should first check out the Quick Start and then move on to wrangler dev. If you run into issues or have any feedback, please let us know!

Signing Off

I’ve come a long way from where I started in 2018 and so has the Workers ecosystem. It’s been awesome helping to improve the developer experience of Workers for future interns, internal Cloudflare teams, and of course our customers. I can’t wait to see what we do next. I have some ideas for what’s next with Wrangler, so stay posted!

P.S. Wrangler is also open source, and we are more than happy to field bug reports, feedback, and community PRs. Check out our Contribution Guide if you want to help out!

Learn more about Workers Sites at Austin & San Francisco Meetups

Post Syndicated from Andrew Fitch original https://blog.cloudflare.com/learn-more-about-workers-sites-at-austin-san-francisco-meetups/

Learn more about Workers Sites at Austin & San Francisco Meetups

Learn more about Workers Sites at Austin & San Francisco Meetups

Last Friday, at the end of Cloudflare’s 9th birthday week, we announced Workers Sites.

Now, using the Wrangler CLI, you can deploy entire websites directly to the Cloudflare Network using Cloudflare Workers and Workers KV. If you can statically generate the assets for your site, think create-react-app, Jekyll, or even the WP2Static plugin, you can deploy it to our global network, which spans 194 cities in more than 90 countries.

If you’d like to learn more about how it was built, you can read more about this in the technical blog post. Additionally, I wanted to give you an opportunity to meet with some of the developers who contributed to this product and hear directly from them about their process, potential use cases, and what it took to build.

Check out these events. If you’re based in Austin or San Francisco (more cities coming soon!), join us on-site. If you’re based somewhere else, you can watch the recording of the events afterwards.

Growing Dev Platforms at Scale & Deploying Static Websites

Talk 1: Inspiring with Content: How to Grow Developer Platforms at Scale

Serverless platforms like Cloudflare Workers provide benefits like scalability, high performance, and lower costs. However, when talking to developers, one of the most common reactions is, “this sounds interesting, but what do I build with it?”

In this talk, we’ll cover how at Cloudflare we’ve been able to answer this question at scale with Workers Sites. We’ll go over why this product exists and how the implementation leads to some unintended discoveries.

Speaker Bio:
Victoria Bernard is a full-stack, product-minded engineer focused on Cloudflare Workers Developer Experience. An engineer who started a career working at large firms in hardware sales and moved throughout Cloudflare from support to product and to development. Passionate about building products that make developer lives easier and more productive.

Talk 2:  Extending a Serverless Platform: How to Fake a File System…and Get Away With It

When building a platform for developers, you can’t anticipate every use case. So, how do you build new functionality into a platform in a sustainable way, and inspire others to do the same?

Let’s talk about how we took a globally distributed serverless platform (Cloudflare Workers) and key-value store (Workers KV) intended to store short-lived data and turned them into a way to easily deploy static websites. It wasn’t a straightforward journey, but join as we overcome roadblocks and learn a few lessons along the way.

Speaker Bio:
Ashley Lewis headed the development of the features that became Workers Sites. She’s process and collaboration oriented and focused on user experience first at every level of the stack. Ashley proudly tops the leaderboard for most LOC deleted.


  • 6:00pm – Doors open
  • 6:30pm – Talk 1: Inspiring with Content: How to Grow Developer Platforms at Scale
  • 7:00pm – Talk 2:  Extending a Serverless Platform: How to Fake a File System…and Get Away With It
  • 7:30pm – Networking over food and drinks
  • 8:00pm – Event conclusion

Austin, Texas Meetup

Learn more about Workers Sites at Austin & San Francisco Meetups

Register Here »

San Francisco, California Meetup

Learn more about Workers Sites at Austin & San Francisco Meetups

Register Here »

While you’re at it, check out our monthly developer newsletter: The Serverlist

Have you built something interesting with Workers? Let us know @CloudflareDev!

How We Design Features for Wrangler, the Cloudflare Workers CLI

Post Syndicated from Ashley M Lewis original https://blog.cloudflare.com/how-we-design-features-for-wrangler/

How We Design Features for Wrangler, the Cloudflare Workers CLI

How We Design Features for Wrangler, the Cloudflare Workers CLI

The most recent update to Wrangler, version 1.3.1, introduces important new features for developers building Cloudflare Workers — from built-in deployment environments to first class support for Workers KV. Wrangler is Cloudflare’s first officially supported CLI. Branching into this field of software has been a novel experience for us engineers and product folks on the Cloudflare Workers team.

As part of the 1.3.1 release, the folks on the Workers Developer Experience team dove into the thought process that goes into building out features for a CLI and thinking like users. Because while we wish building a CLI were as easy as our teammate Avery tweeted…

… it brings design challenges that many of us have never encountered. To overcome these challenges successfully requires deep empathy for users across the entire team, as well as the ability to address ambiguous questions related to how developers write Workers.

Wrangler, meet Workers KV

Our new KV functionality introduced a host of new features, from creating KV namespaces to bulk uploading key-value pairs for use within a Worker. This new functionality primarily consisted of logic for interacting with the Workers KV API, meaning that the technical work under “the hood” was relatively straightforward. Figuring out how to cleanly represent these new features to Wrangler users, however, became the fundamental question of this release.

Designing the invocations for new KV functionality unsurprisingly required multiple iterations, and taught us a lot about usability along the way!

Attempt 1

For our initial pass, the path originally seemed so obvious. (Narrator: It really, really wasn’t). We hypothesized that having Wrangler support familiar commands — like ls and rm — would be a reasonable mapping of familiar command line tools to Workers KV, and ended up with the following set of invocations below:

# creates a new KV Namespace
$ wrangler kv add myNamespace									
# sets a string key that doesn't expire
$ wrangler kv set myKey=”someStringValue”

# sets many keys
$ wrangler kv set myKey=”someStringValue” myKey2=”someStringValue2” ...

# sets a volatile (expiring) key that expires in 60 s
$ wrangler kv set myVolatileKey=path/to/value --ttl 60s

# deletes three keys
$ wrangler kv rm myNamespace myKey1 myKey2 myKey3

# lists all your namespaces
$ wrangler kv ls

# lists all the keys for a namespace
$ wrangler kv ls myNamespace

# removes all keys from a namespace, then removes the namespace		
$ wrangler kv rm -r myNamespace

While these commands invoked familiar shell utilities, they made interacting with your KV namespace a lot more like interacting with a filesystem than a key value store. The juxtaposition of a well-known command like ls with a non-command, set, was confusing. Additionally, mapping preexisting command line tools to KV actions was not a good 1-1 mapping (especially for rm -r; there is no need to recursively delete a KV namespace like a directory if you can just delete the namespace!)

This draft also surfaced use cases we needed to support: namely, we needed support for actions like easy bulk uploads from a file. This draft required users to enter every KV pair in the command line instead of reading from a file of key-value pairs; this was also a non-starter.

Finally, these KV subcommands caused confusion about actions to different resources. For example, the command for listing your Workers KV namespaces looked a lot like the command for listing keys within a namespace.

Going forward, we needed to meet these newly identified needs.

Attempt 2

Our next attempt shed the shell utilities in favor of simple, declarative subcommands like create, list, and delete. It also addressed the need for easy-to-use bulk uploads by allowing users to pass a JSON file of keys and values to Wrangler.

# create a namespace
$ wrangler kv create namespace <title>

# delete a namespace
$ wrangler kv delete namespace <namespace-id>

# list namespaces
$ wrangler kv list namespace

# write key-value pairs to a namespace, with an optional expiration flag
$ wrangler kv write key <namespace-id> <key> <value> --ttl 60s

# delete a key from a namespace
$ wrangler kv delete key <namespace-id> <key>

# list all keys in a namespace
$ wrangler kv list key <namespace-id>

# write bulk kv pairs. can be json file or directory; if dir keys will be file paths from root, value will be contents of files
$ wrangler kv write bulk ./path/to/assets

# delete bulk pairs; same input functionality as above
$ wrangler kv delete bulk ./path/to/assets

Given the breadth of new functionality we planned to introduce, we also built out a taxonomy of new subcommands to ensure that invocations for different resources — namespaces, keys, and bulk sets of key-value pairs — were consistent:

How We Design Features for Wrangler, the Cloudflare Workers CLI

Designing invocations with taxonomies became a crucial part of our development process going forward, and gave us a clear look at the “big picture” of our new KV features.

This approach was closer to what we wanted. It offered bulk put and bulk delete operations that would read multiple key-value pairs from a JSON file. After specifying an action subcommand (e.g. delete), users now explicitly stated which resource an action applied to (namespace , key, bulk) and reduced confusion about which action applied to which KV component.

This draft, however, was still not as explicit as we wanted it to be. The distinction between operations on namespaces versus keys was not as obvious as we wanted, and we still feared the possibility of different delete operations accidentally producing unwanted deletes (a possibly disastrous outcome!)

Attempt 3

We really wanted to help differentiate where in the hierarchy of structs a user was operating at any given time. Were they operating on namespaces, keys, or bulk sets of keys in a given operation, and how could we make that as clear as possible? We looked around, comparing the ways CLIs from kubectl to Heroku’s handled commands affecting different objects. We landed on a pleasing pattern inspired by Heroku’s CLI: colon-delimited command namespacing:

plugins:install PLUGIN    # installs a plugin into the CLI
plugins:link [PATH]       # links a local plugin to the CLI for development
plugins:uninstall PLUGIN  # uninstalls or unlinks a plugin
plugins:update            # updates installed plugins

So we adopted kv:namespace, kv:key, and kv:bulk to semantically separate our commands:

# namespace commands operate on namespaces
$ wrangler kv:namespace create <title> [--env]
$ wrangler kv:namespace delete <binding> [--env]
$ wrangler kv:namespace rename <binding> <new-title> [--env]
$ wrangler kv:namespace list [--env]
# key commands operate on individual keys
$ wrangler kv:key write <binding> <key>=<value> [--env | --ttl | --exp]
$ wrangler kv:key delete <binding> <key> [--env]
$ wrangler kv:key list <binding> [--env]
# bulk commands take a user-generated JSON file as an argument
$ wrangler kv:bulk write <binding> ./path/to/data.json [--env]
$ wrangler kv:bulk delete <binding> ./path/to/data.json [--env]

And ultimately ended up with this topology:

How We Design Features for Wrangler, the Cloudflare Workers CLI

We were even closer to our desired usage pattern; the object acted upon was explicit to users, and the action applied to the object was also clear.

There was one usage issue left. Supplying namespace-ids–a field that specifies which Workers KV namespace to perform an action to–required users to get their clunky KV namespace-id (a string like 06779da6940b431db6e566b4846d64db) and provide it in the command-line under the namespace-id option. This namespace-id value is what our Workers KV API expects in requests, but would be cumbersome for users to dig up and provide, let alone frequently use.

The solution we came to takes advantage of the wrangler.toml present in every Wrangler-generated Worker. To publish a Worker that uses a Workers KV store, the following field is needed in the Worker’s wrangler.toml:

kv-namespaces = [
	{ binding = "TEST_NAMESPACE", id = "06779da6940b431db6e566b4846d64db" }

This field specifies a Workers KV namespace that is bound to the name TEST_NAMESPACE, such that a Worker script can access it with logic like:


We also decided to take advantage of this wrangler.toml field to allow users to specify a KV binding name instead of a KV namespace id. Upon providing a KV binding name, Wrangler could look up the associated id in wrangler.toml and use that for Workers KV API calls.

Wrangler users performing actions on KV namespaces could simply provide --binding TEST_NAMESPACE for their KV calls let Wrangler retrieve its ID from wrangler.toml. Users can still specify --namespace-id directly if they do not have namespaces specified in their wrangler.toml.

Finally, we reached our happy point: Wrangler’s new KV subcommands were explicit, offered functionality for both individual and bulk actions with Workers KV, and felt ergonomic for Wrangler users to integrate into their day-to-day operations.

Lessons Learned

Throughout this design process, we identified the following takeaways to carry into future Wrangler work:

  1. Taxonomies of your CLI’s subcommands and invocations are a great way to ensure consistency and clarity. CLI users tend to anticipate similar semantics and workflows within a CLI, so visually documenting all paths for the CLI can greatly help with identifying where new work can be consistent with older semantics. Drawing out these taxonomies can also expose missing features that seem like a fundamental part of the “big picture” of a CLI’s functionality.
  2. Use other CLIs for inspiration and sanity checking. Drawing logic from popular CLIs helped us confirm our assumptions about what users like, and learn established patterns for complex CLI invocations.
  3. Avoid logic that requires passing in raw ID strings. Testing CLIs a lot means that remembering and re-pasting ID values gets very tedious very quickly. Emphasizing a set of purely human-readable CLI commands and arguments makes for a far more intuitive experience. When possible, taking advantage of configuration files (like we did with wrangler.toml) offers a straightforward way to provide mappings of human-readable names to complex IDs.

We’re excited to continue using these design principles we’ve learned and documented as we grow Wrangler into a one-stop Cloudflare Workers shop.

If you’d like to try out Wrangler, check it out on GitHub and let us know what you think! We would love your feedback.

How We Design Features for Wrangler, the Cloudflare Workers CLI

Live Preview: Build and Test Workers Faster with Wrangler CLI 1.2.0

Post Syndicated from Matt Alonso original https://blog.cloudflare.com/live-preview-build-and-test-workers-faster-with-wrangler-cli-1-2-0/

Live Preview: Build and Test Workers Faster with Wrangler CLI 1.2.0

As part of my internship on the Workers Developer Experience team, I set out to polish the Wrangler CLI for Cloudflare Workers. If you’re not familiar with Workers, the premise is quite simple: Write a bit of Javascript that takes in an HTTP request, does some processing, and spits out a response. The magic lies in where your Workers scripts run: on Cloudflare’s edge network, which spans 193 cities in more than 90 countries. Workers can be used for nearly anything from configuring Cloudflare caching behavior to building entire serverless web applications. And, you don’t have to worry about operations at all.

I was excited to focus on Wrangler, because Wrangler aims to make developing and publishing Workers projects a pleasant experience for everyone, whether you’re a solo dev working on the next big thing, or an engineer at a Fortune 100 enterprise. The whole point of serverless is about reducing friction, and Wrangler reflects that ethos.

However, when I started at Cloudflare in early June, some parts of the development experience still needed some love. While working on a new WASM tutorial for the Workers documentation, I noticed a storm brewing in my browser…

Live Preview: Build and Test Workers Faster with Wrangler CLI 1.2.0

Wrangler lets you test your Workers project with a subcommand called wrangler preview, and every time I called it to test a new change it opened a new tab. Fast iteration is the most crucial part of a good developer experience, and while the preview was fast, things were getting messy. I was fighting my tooling, having to keep track of the latest preview tab every time I wanted to test a new change. I knew that if I was annoyed about this, others would be too.

So, I thought about what our customers wanted: similarity with tooling that they already used. I set out to create an experience inspired by `webpack-dev-server` and other similar watch-and-build tools, where you would have a single tab that would refresh live with your latest changes. However, I knew that getting changes into the Workers runtime to achieve this goal would be a tall order for week 2 of my internship, so I started thinking about solutions to send updates directly to the previewer.

Wrangler is written in Rust, so I was able to utilize the crates.io ecosystem while developing this feature. I used the notify crate, which provides a cross-platform abstraction layer over the various file system event APIs provided by major OSes. However, there are some gotchas when implementing a file watcher that triggers a build and upload: you can’t simply trigger a build after every filesystem event, as a single file save can emit several events in quick succession depending on which editor you use! To prevent wasteful builds, I implemented a cooldown period, which only triggers the build process when no new file system events have been detected for at least 2 seconds. Rust’s rich standard library makes implementing concurrent behaviors like this very elegant:

/* rx.recv_timeout returns Ok if there was an event on the rx channel
 * or Err if the cooldown period has passed. The while let Ok(_) syntax
 * will end the loop if the cooldown period has ended, or restart the cooldown period if there was an event on the rx channel
while let Ok(_) = rx.recv_timeout(cooldown) {
  message::working("Detected change during cooldown...");

Another challenge was handling communication with the previewer. I settled on an unconventional application of WebSockets, creating one to localhost to allow for a browser application to communicate with the Wrangler CLI running on the local machine. I coordinated with the Workers UI team to get my WebSocket client added to the preview UI, and with the security team to pass a security review for the feature, to make sure script contents were properly protected from exposure.

This was the result:

Live Preview: Build and Test Workers Faster with Wrangler CLI 1.2.0

This is what Developer Experience is all about. You should feel like 💆🏻‍♀️💆🏽‍♂️ when using Wrangler, not like 😡. If this isn’t the case, we want to hear about it.

Live Preview was shipped in the 1.2.0 release of Wrangler, exposed under wrangler preview --watch. It works for all Wrangler projects, even ones that use WebAssembly.

And to the Workers Developer Experience team, Dubs, Ashley, Avery, Gabbi, Kristian, Sven, and Victoria: thank you. Y’all are motivated, talented, and I genuinely had fun every day this summer.

🤠 The Wrangler CLI: Deploying Rust with WASM on Cloudflare Workers

Post Syndicated from Ashley Williams original https://blog.cloudflare.com/introducing-wrangler-cli/

🤠 The Wrangler CLI: Deploying Rust with WASM on Cloudflare Workers
Wrangler is a CLI tool for building Rust WebAssembly Workers

🤠 The Wrangler CLI: Deploying Rust with WASM on Cloudflare Workers

Today, we’re open sourcing and announcing wrangler, a CLI tool for building, previewing, and publishing Rust and WebAssembly Cloudflare Workers.

If that sounds like some word salad to you, that’s a reasonable reaction. All three of the technologies involved are relatively new and upcoming: WebAssembly, Rust, and Cloudflare Workers.

Why WebAssembly?

Cloudflare’s mission is to help build a better Internet. We see Workers as an extension of the already incredibly powerful Web Platform, where JavaScript has allowed users to go from building small bits of interactivity, to building full applications. Node.js first extended this from the client to the server- unifying web application development around a single language – JavaScript. By choosing to use V8 isolates (the technology that powers both Node.js and the most popular browser, Chrome), we sought to make its Workers product a fully compatible, new platform for the Web, eliding the distinction between server and client. By leveraging its large global network of servers, Workers allows users to run code as close as possible to end users, eliminating the latency associated server-side logic or large client-side bundles.

But not everyone wants to write JavaScript, and JavaScript is not well suited to express every application. WebAssembly emerged in 2017 as a way to further extend the Web Platform to applications, such as games and other high resource intensive programs, that were previously excluded by the limitations of JavaScript.

V8 isolates give us both JavaScript and WebAssembly. This means that you can leverage the prototyping power and extensive ecosystem of JavaScript, alongside the power of WebAssembly, which in addition to fast, predictable, performance, also opens up the wealth of libraries written in languages that can target WebAssembly, like C, C++, and Rust.

WebAssembly on Workers eliminates trade-offs that were originally considered irresolvable: low-latency, high-performing, and Web Platform compatible- pick three.

Why Rust?

Rust is a relatively new programming language with the goal of “empowering everyone to build reliable and efficient software”. It’s a systems level language that offers its users a high amount of control, while still seeking to offer an ergonomic, friendly and modern development experience.

The Rust-WebAssembly Working Group made incredible efforts last year to build out a suite of developer tools for WebAssembly. At Cloudflare, we’re excited to support those efforts with paid developer hours and leverage those efforts to empower our users to start harnessing the power of WebAssembly on Workers now.

There are several other toolchains including Emscripten (C, C++) and AssemblyScript (TypeScript) that we’re eager to support in the future. Rust is just the beginning (but we think it’s a pretty great place to start!).

Why now?

When developing new, highly technical, products, it’s easy to get caught up in the promise and vision- often to the detriment of getting the technology into the hands of the folks who will be using it every day in the future.

We want to broaden the community that has access at the early stages of this technology- who can bring their valuable perspectives and experience, and help us shape the future of these tools.

The first step to accomplishing that is building the tools that can enable folks to engage with the new platform. wrangler is a that enabling tool. It’s just enough to unblock users who were previously unable to interact with the platform because there was no paved path.

We don’t plan to stop here. Folks will rightly note that there are some critical developer workflow steps that are missing from wrangler: linting, testing, benchmarking, and size profiling are a few that come to mind. We’ve got some big plans and we’re excited to build out more, but we’re eager to release this now to enable more folks to participate in the process. The best way to know what developers need is to ask and listen- by creating and open sourcing wrangler in such an early phase we’re hoping to shorten the feedback cycle between product and user- and build the right thing, faster.

You can install wrangler using cargo:

cargo install wrangler

To get started, head on over to the Cloudflare docs and follow the tutorial. You’ll build and preview a Cloudflare Worker that uses Rust compiled to WebAssembly to parse Markdown.

Don’t stop there though. Please check out the repo, file some issues, build project templates, and write about your experience- we want to hear from you.

We’re really excited to see what y’all build!