Javascript

Deploying Next.js Applications to Fly.io

Published Feb 21, 2024

Updated Feb 21, 2024

7 min read

Fly.io has gained significant popularity in the developer community recently, particularly after being endorsed by Kent C. Dodds for hosting his Epic Web project. It's a go-to choice for hobby projects, thanks to its starting plans that are effectively free, making it highly accessible for individual developers. While Next.js applications are often deployed to Vercel, Fly.io has emerged as a perfectly viable alternative, offering robust hosting solutions and global deployment capabilities. In this blog post, we'll give an overview of how to install a Next.js app to Fly.io, mentioning any gotchas you should be aware of along the way.

The Project

Our project is a simple Next.js project using the latest version of Next.js at the time of the writing (14). It uses the app directory and integrates with Spotify to get a list of episodes for our podcast, Modern Web. The bulk of the logic is in the page.tsx file, shown below, which represents the front page that is server-rendered after retrieving a list of episodes from Spotify.

// app/page.tsx
import { getEpisodes } from '@/spotify/spotify';

export default async function Home() {
  const modernWebShowId = '5FGA58foRFkJ6IgJbCFYgm';
  const show = await getEpisodes(modernWebShowId);

  return (
    <main className="flex min-h-screen flex-col items-center justify-between p-24">
      <div className="mb-32 grid text-center lg:max-w-5xl lg:w-full lg:mb-0 lg:grid-cols-4 lg:text-left">
        {show.episodes.items.map(
          (episode) => <a
            key={episode.id}
            href={episode.external_urls.spotify}
            className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
            target="_blank"
            rel="noopener noreferrer"
          >
            <h2 className={`mb-3 text-2xl font-semibold`}>
              {episode.name}{' '}
              <span
                className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
              -&gt;
            </span>
            </h2>
            <p className={`m-0 max-w-[30ch] text-sm opacity-50`}>
              {episode.description}
            </p>
          </a>)}
      </div>
    </main>
  )
}

The getEpisodes is a custom function that is a wrapper around the Spotify API. It uses the Spotify client ID and secret (provided through the SPOTIFY_CLIENT_ID and SPOTIFY_CLIENT_SECRET environment variables, respectively) to get an access token from Spotify and invoke a REST endpoint to get a list of episodes for the given show ID. As can be seen from the above code, the Home is an async, server-rendered component.

Scaffolding of Fly.io Configuration

To get started with Fly.io and deploy a new project using flyctl, you need to go through a few simple steps: installing the flyctl CLI, logging into Fly.io, and using the flyctl launch command.

Installing the CLI

Installing flyctl is different depending on the operating system you use:

If you're on Windows, the easiest way to install flyctl is by using scoop, a command-line installer. First, install scoop if you haven’t already, then run scoop install flyctl in your command prompt or PowerShell.
For macOS users, you can use Homebrew, a popular package manager. Simply open your terminal and run brew install superfly/tap/flyctl.
Linux users can install flyctl by running the following script in the terminal: curl -L https://fly.io/install.sh | sh. This will download and install the latest version.

Logging In

After installing flyctl, the next step is to log in to your Fly.io account. Open your terminal or command prompt and enter flyctl auth login. This command will open a web browser prompting you to log in to Fly.io. If you don’t have an account, you can create one at this step. Once you're logged in through the browser, the CLI will automatically be authenticated.

Scaffolding the Fly.io Configuration

The next step is to use fly launch to add all the necessary files for deployment, such as a Dockerfile and a fly.toml file, which is the main Fly.io configuration file. This command initiates a few actions:

It detects your application type and proposes a configuration.
It sets up your application on Fly.io, including provisioning a new app name if you don’t specify one.
It allows you to select a region to deploy to. There are really many to choose from, so you can get really picky here.

Once the process completes, flyctl will be ready for deploying the application.

In our case, the process went like this:

➜ flyctl launch
Creating app in /Users/dario/Projects/blog-demos/thisdot-nextjs
Scanning source code
Detected a Next.js app
? Choose an app name (leave blank to generate one): thisdot-nextjs-blog
automatically selected personal organization: This Dot
Some regions require a paid plan (bom, fra, maa).
See https://fly.io/plans to set up a plan.

? Choose a region for deployment: Atlanta, Georgia (US) (atl)
App will use 'atl' region as primary

Created app 'thisdot-nextjs-blog' in organization 'personal'
Admin URL: https://fly.io/apps/thisdot-nextjs-blog
Hostname: thisdot-nextjs-blog.fly.dev
installing: npm install @flydotio/dockerfile@latest --save-dev

added 20 packages, and audited 352 packages in 5s

119 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities
     create  Dockerfile
Wrote config file fly.toml
Validating /Users/dario/Projects/blog-demos/thisdot-nextjs/fly.toml
Platform: machines
✓ Configuration is valid

If you need custom packages installed, or have problems with your deployment
build, you may need to edit the Dockerfile for app-specific changes. If you
need help, please post on https://community.fly.io.

Now: run 'fly deploy' to deploy your Next.js app.

Deploying

Now, if this was a simpler Next.js app without any environment variables, running flyctl deploy would build the Docker image in a specialized "builder" app container on Fly.io and deploy that image to the app container running the app. However, in our case, executing flyctl deploy will fail:

#0 1.486    Creating an optimized production build ...
#0 9.227  ✓ Compiled successfully
#0 9.227    Linting and checking validity of types ...
#0 12.17    Collecting page data ...
#0 13.06    Generating static pages (0/5) ...
#0 13.26 Error: Missing client ID or secret
#0 13.26     at getEpisodes (/app/.next/server/app/page.js:1:2140)
#0 13.26     at Home (/app/.next/server/app/page.js:1:2884)

This is because our page is statically rendered, and the Next.js build process attempts to run Home, our server-rendered component to cache its output. Before we can do this, we need to add our environment variables so that Fly.io is aware of them, but this is somewhat a tricky subject, so let's explain why in the following chapter.

Handling of Secrets

Most complex web apps will need some secrets injected into the app via environment variables. Environment variables are a good way to inject sensitive information, such as API secret keys, to your web app without storing them in the repository, the file system, or any other unprotected place.

Unlike other providers such as the previously mentioned Vercel, Fly.io distinguishes built-time and run-time secrets, which are then injected as environment variables. Build-time secrets are those secrets that your app requires to build itself, while run-time secrets are needed while the app is running.

In our case, due to the fact that Next.js will attempt to cache our static pages upfront, the Spotify client ID and client secret are needed during both build-time and run-time (after the cache expires).

Build-Time Secrets

Our Next.js app is built while building the Docker image, therefore build-time secrets should be passed to the Docker context. The recommended, Docker-way of doing this, is through Docker's build-time secrets, which are added through a special --mount=type=secret flag to the RUN command that builds the site. This is a relatively newer feature that allows you to securely pass secrets needed during the build process without including them in the final image or even as an intermediate layer.

This means that, instead of having the following build command in our Dockerfile:

RUN npm run build

we will have:

RUN --mount=type=secret,id=SPOTIFY_CLIENT_ID \
    --mount=type=secret,id=SPOTIFY_CLIENT_SECRET \
    SPOTIFY_CLIENT_ID="$(cat /run/secrets/SPOTIFY_CLIENT_ID)" \
    SPOTIFY_CLIENT_SECRET="$(cat /run/secrets/SPOTIFY_CLIENT_SECRET)" \
    npm run build

Now, you can either modify the Dockerfile manually and add this, or you can use a helpful little utility called dockerfile:

npx dockerfile --mount-secret=SPOTIFY_CLIENT_ID --mount-secret=SPOTIFY_CLIENT_SECRET

If we were using docker build to build our image, we would pass the secret values like so:

docker build --secret id=SPOTIFY_CLIENT_ID,src=someClientId --secret id=SPOTIFY_CLIENT_SECRET,src=someClientSecret

However, in our case we use fly deploy, which is just a wrapper around docker build. To pass the secrets, we would use the following command:

fly deploy --build-secret SPOTIFY_CLIENT_ID=someClientId --build-secret SPOTIFY_CLIENT_SECRET=someClientSecret

And now, the app builds and deploys successfully in a few minutes.

To summarize, if you have any secrets which are necessary at build-time, they will need to be provided to the fly deploy command. This means that if you have a CI/CD pipeline, you will need to make sure that these secrets are available to your CI/CD platform. In the case of GitHub actions, they would need to be stored in your repository's secrets.

Run-Time Secrets

Run-time secrets are handled in a different way - you need to provide them to Fly.io via the fly secrets set command:

fly secrets set SPOTIFY_CLIENT_ID=someClientId SPOTIFY_CLIENT_SECRET=someClientSecret

Now, you might be wondering why fly deploy cannot use these secrets if they are already stored in Fly.io. The architecture of Fly.io is set up in such a way that reading these secrets through the API, once they are set, is not possible. Secrets are stored in an encrypted vault. When you set a secret using fly secrets set, it sends the secret value through the Fly.io API, which writes it to the vault for your specific Fly.io app. The API servers can only encrypt; they cannot decrypt secret values. Therefore, the fly deploy process, which is, if you remember, just a wrapper around docker build, cannot access the decrypted secret values.

Other Things to Consider

Beware of .env Files

In Next.js, you can use .env as well as .env.local for storing environment variable values for local development. However, keep in mind that only .env.local files are ignored by the Docker build process via the .dockerignore file generated by Fly.io. This means that if you happen to be using an .env file, this file could be bundled into your Docker image, which is potentially a security risk if it contains sensitive information. To prevent this from happening, be sure to add .env to your .dockerignore file as well.

Not Enough Memory?

For larger Next.js sites, you might run into situations where the memory of your instance is simply not enough to run the app, especially if you are on the hobby plan.

If that happens, you have two options.

The first one does not incur any additional costs, and it involves increasing the swap size. This is not ideal, as more disk operation is involved, making the entire process slower, but it is good enough if you don't have any other options. To set swap size to something like 512 MB, you need to add the following line to the fly.toml file near the top:

swap_size_mb = 512

The second one is increasing memory size of your instance. This does incur additional cost, however. If you decide to use this option, the command to use is:

fly scale memory [memoryInMb]

For example, to increase RAM memory to 1024 MB, you would use the command:

fly scale memory 1024

After making the changes, you can try redeploying and seeing if the process is still crashing due to lack of memory.

Conclusion

In conclusion, deploying Next.js applications to Fly.io offers a flexible and robust solution for developers looking for alternatives to more commonly used platforms like Vercel. We hope this blog post has provided you with some useful insights on the things to consider when doing so. Be sure to also check out our Next starter templates on starter.dev if you'd like to integrate a few other frameworks into your Next.js project.

The entire source code for this project is available on Stackblitz.

This Dot is a consultancy dedicated to guiding companies through their modernization and digital transformation journeys. Specializing in replatforming, modernizing, and launching new initiatives, we stand out by taking true ownership of your engineering projects.

We love helping teams with projects that have missed their deadlines or helping keep your strategic digital initiatives on course. Check out our case studies and our clients that trust us with their engineering.

About the author(s)

Dario Djuric
Dario is a full-stack engineer who has spent most of his career doing enterprise Java projects. He has always had a hidden passion for frontend, though -- and he is now able to pursue that passion at This Dot. He spends most of his free time with his two sons, but occasionally, he manages to squeeze in some casual sports activities such as jogging, cycling, and soccer.
@dario_djuric @dariodjuric

The Journey To Making A New Framework: TanStack Start with Tanner Linsley

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Introduction to Zod for Data Validation

As web developers, we're often working with data from external sources like APIs we don't control or user inputs submitted to our backends. We can't always rely on this data to take the form we expect, and we can encounter unexpected errors when it deviates from expectations. But with the Zod library, we can define what our data ought to look like and parse the incoming data against those defined schemas. This lets us work with that data confidently, or to quickly throw an error when it isn't correct. Why use Zod? TypeScript is great for letting us define the shape of our data in our code. It helps us write more correct code the first time around by warning us if we are doing something we shouldn't. But TypeScript can't do everything for us. For example, we can define a variable as a string or a number, but we can't say "a string that starts with user_id_ and is 20 characters long" or "an integer between 1 and 5". There are limits to how much TypeScript can narrow down our data for us. Also, TypeScript is a tool for us developers. When we compile our code, our types are not available to the vanilla JavaScript. JavaScript can't validate that the data we actually use in our code matches what we thought we'd get when we wrote our TypeScript types unless you're willing to manually write code to perform those checks. This is where we can reach for a tool like Zod. With Zod, we can write data schemas. These schemas, in the simplest scenarios, look very much like TypeScript types. But we can do more with Zod than we can with TypeScript alone. Zod schemas let us create additional rules for data parsing and validation. A 20-character string that starts with user_id_? It's z.string().startsWith('user_id_').length(20). An integer between 1 and 5 inclusive? It's z.number().int().gte(1).lte(5). Zod's primitives give us many extra functions to be more specific about *exactly* what data we expect. Unlike TypeScript, Zod schemas aren't removed on compilation to JavaScript—we still have access to them! If our app receives some data, we can verify that it matches the expected shape by passing it to your Zod schema's parse function. You'll either get back your data in exactly the shape you defined in your schema, or Zod will give you an error to tell you what was wrong. Zod schemas aren't a replacement for TypeScript; rather, they are an excellent complement. Once we've defined our Zod schema, it's simple to derive a TypeScript type from it and to use that type as we normally would. But when we really need to be sure our data conforms to the schema, we can always parse the data with our schema for that extra confidence. Defining Data Schemas Zod schemas are the variables that define our expectations for the shape of our data, validate those expectations, and transform the data if necessary to match our desired shape. It's easy to start with simple schemas, and to add complexity as required. Zod provides different functions that represent data structures and related validation options, which can be combined to create larger schemas. In many cases, you'll probably be building a schema for a data object with properties of some primitive type. For example, here's a schema that would validate a JavaScript object representing an order for a pizza: ` Zod provides a number of primitives for defining schemas that line up with JavaScript primitives: string, number, bigint, boolean, date, symbol, undefined, and null. It also includes primitives void, any, unknown, and never for additional typing information. In addition to basic primitives, Zod can define object, array, and other native data structure schemas, as well as schemas for data structures not natively part of JavaScript like tuple and enum. The documentation contains considerable detail on the available data structures and how to use them. Parsing and Validating Data with Schemas With Zod schemas, you're not only telling your program what data should look like; you're also creating the tools to easily verify that the incoming data matches the schema definitions. This is where Zod really shines, as it greatly simplifies the process of validating data like user inputs or third party API responses. Let's say you're writing a website form to register new users. At a minimum, you'll need to make sure the new user's email address is a valid email address. For a password, we'll ask for something at least 8 characters long and including one letter, one number, and one special character. (Yes, this is not really the best way to write strong passwords; but for the sake of showing off how Zod works, we're going with it.) We'll also ask the user to confirm their password by typing it twice. First, let's create a Zod schema to model these inputs: ` So far, this schema is pretty basic. It's only making sure that whatever the user types as an email is an email, and it's checking that the password is at least 8 characters long. But it is *not* checking if password and confirmPassword match, nor checking for the complexity requirements. Let's enhance our schema to fix that! ` By adding refine with a custom validation function, we have been able to verify that the passwords match. If they don't, parsing will give us an error to let us know that the data was invalid. We can also chain refine functions to add checks for our password complexity rules: ` Here we've chained multiple refine functions. You could alternatively use superRefine, which gives you even more fine grained control. Now that we've built out our schema and added refinements for extra validation, we can parse some user inputs. Let's see two test cases: one that's bound to fail, and one that will succeed. ` There are two main ways we can use our schema to validate our data: parse and safeParse. The main difference is that parse will throw an error if validation fails, while safeParse will return an object with a success property of either true or false, and either a data property with your parsed data or an error property with the details of a ZodError explaining why the parsing failed. In the case of our example data, userInput2 will parse just fine and return the data for you to use. But userInput1 will create a ZodError listing all of the ways it has failed validation. ` ` We can use these error messages to communicate to the user how they need to fix their form inputs if validation fails. Each error in the list describes the validation failure and gives us a human readable message to go with it. You'll notice that the validation errors for checking for a valid email and for checking password length have a lot of details, but we've got three items at the end of the error list that don't really tell us anything useful: just a custom error of Invalid input. The first is from our refine checking if the passwords match, and the second two are from our refine functions checking for password complexity (numbers and special characters). Let's modify our refine functions so that these errors are useful! We'll add our own error parameters to customize the message we get back and the path to the data that failed validation. ` Now, our error messages from failures in refine are informative! You can figure out which form fields aren't validating from the path, and then display the messages next to form fields to let the user know how to remedy the error. ` By giving our refine checks a custom path and message, we can make better use of the returned errors. In this case, we can highlight specific problem form fields for the user and give them the message about what is wrong. Integrating with TypeScript Integrating Zod with TypeScript is very easy. Using z.infer<typeof YourSchema> will allow you to avoid writing extra TypeScript types that merely reflect the intent of your Zod schemas. You can create a type from any Zod schema like so: ` Using a TypeScript type derived from a Zod schema does *not* give you any extra level of data validation at the type level beyond what TypeScript is capable of. If you create a type from z.string.min(3).max(20), the TypeScript type will still just be string. And when compiled to JavaScript, even that will be gone! That's why you still need to use parse/safeParse on incoming data to validate it before proceeding as if it really does match your requirements. A common pattern with inferring types from Zod schemas is to use the same name for both. Because the schema is a variable, there's no name conflict if the type uses the same name. However, I find that this can lead to confusing situations when trying to import one or the other—my personal preference is to name the Zod schema with Schema at the end to make it clear which is which. Conclusion Zod is an excellent tool for easily and confidently asserting that the data you're working with is exactly the sort of data you were expecting. It gives us the ability to assert at runtime that we've got what we wanted, and allows us to then craft strategies to handle what happens if that data is wrong. Combined with the ability to infer TypeScript types from Zod schemas, it lets us write and run more reliable code with greater confidence....

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Integrating Next.js with New Relic

Integrating Next.js with New Relic When it comes to application monitoring, New Relic is genuinely one of the veterans in the market. Founded in 2008, it offers a large set of tools designed for developers to help them analyze application performance, troubleshoot problems, and gain insight into user behavior through real-time analytics. We needed to integrate New Relic's application monitoring with a modern Next.js app built on top of the app router. This blog post will explain your options if you want to do the same in your project. Please keep in mind that depending on when you read this blog post, there may be some advances in how New Relic works with Next.js. You can always refer to the official New Relic website for up-to-date documentation. The approach is also different, depending on whether you use Vercel's managed Next.js hosting (or any other provider that is lambda-based) or self-host Next.js on an alternative provider such as Fly.io. We'll start with the typical steps you need to do for both ways of deploying; then we'll continue with the self-hosted option, which uses a complete set of features from New Relic, and finish with Vercel where we recommend the OpenTelemetry integration for now. Common Prerequisite Steps First, let's install the necessary packages. These were built by New Relic and are needed whether you self-host your Next.js app or host it on Vercel. ` The next thing you'll want to do is define your app name. The name will be different depending on the environment the app is running in, such as a local environment, staging, or production. This will ensure that the data you send to New Relic is always tagged with a proper app name and will not be mixed between environments. An environment-changing parameter, such as the app name, should always be included in an environment variable. In your local environment, that would be in .env.local, while staging/production or any other hosted environments would be configured in the provider. ` To get full coverage with New Relic, in Next.js, we need to cover the parts running on the client (in the browser) and on the server. The server-running part is different on Vercel's managed hosting, where all of the logic is executed within lambdas, and self-hosting variants, where the server logic is executed on a Node.js server. The client part is configured by going to the New Relic dashboard and clicking "Add Data" / "Browser Monitoring". Choose "place a JavaScript snippet in frontend code," name it the same name you used in the environment variable above, click "Continue" to the last step, and copy the part between the script tags: ` Then paste it to a variable inside any module of your code. For example, this is how we did it: ` Now, create a component that will use this script and put it to Next's Script component. Then you can use the component in your root layout: ` There are several things to note here. First, we need to set a unique ID for the Script component for Next.js to track and optimize the script. We also need to set the strategy to beforeInteractive so that the New Relic script is added to the document’s head element. Finally, we use some environment helper variables. IS_PRODUCTION and IS_STAGING are just helper variables that read the environment variables to determine if we are in a local environment, staging, or production. Now you can create an app router error page and report any uncaught errors to New Relic: ` With this in place, the client part is covered, and you should start seeing data in the New Relic dashboard under "All Entities" / "Browser Applications." Let's now focus on the server part, with both a self-hosted option and Vercel. Self-Hosting Next.js If you self-host Next.js, It will typically run through a Node server (containerized or not), meaning you can fully utilize New Relic's APM agent. Start by adding this to the Next.js config (next.config.js) to mark the newrelic package as external, otherwise you would not be able to import it. ` The next step that New Relic recommends is to copy the newrelic.js file from the newrelic library to the root of the folder. However, we want to keep our project root clean, and we'll store the file in o11y/newrelic.js (“o11y” is an abbreviation for observability). This will also demonstrate the configuration needed to make this possible. This file, by default, will look something like this. ` As you can see, some environment variables are involved, such as NEW_RELIC_APP_NAME and NEW_RELIC_LICENSE_KEY. These environment variables will be needed when the New Relic agent starts up. The trick here is that the agent doesn't start up with your app but *earlier* by preloading the library through another environment variable, NODE_OPTIONS. On the server, that would be done by modifying the start script to this: ` This ensures the agent is preloaded before starting the app, and the rest of the environment variables (such as NEW_RELIC_APP_NAME and NEW_RELIC_LICENSE_KEY) should already exist. Making sure this works in local development is not that easy due to different stages of loading environment variables. The environment variables from .env.local are loaded by the framework, which is too late for the New Relic agent (which is preloaded by the Node process). However, it is possible with a trick. First, add the following new environment variables to .env.local: ` (We have not mentioned NEW_RELIC_HOME so far, but the New Relic agent implicitly uses it to locate the newrelic.js file. We need to specify that since we moved it to the o11y folder.) Next, install the nodenv package. ` The nodenv package provides a cross-platform way of preloading environment variables before we start the Node process. If we provide it with the .env.local file, this means all of the environment variables from that file will be available to the New Relic agent! Change the scripts in package.json: ` And that's it. If you now start the local server using the dev command, nodenv will make environment variables available to the Node process. The Node process will preload the New Relic agent (because we have NODE_OPTIONS in .local.env), the agent will read all the environment variables needed by newrelic.js, and everything will work as expected. The first thing you might notice is the creation of the newrelic_agent.log. This is just a log file by the agent which you can use to troubleshoot if the agent is not working correctly. You can safely add this file to .gitignore. From this point on, the server-side part of the app can utilize New Relic's API (such as noticeError and recordLogEvent) and the agent will automatically be recording transactions made through the server. The data should be visible in the New Relic dashboard, under "All Entities" / "Services - APM". This is how you would log an error in your server action, for example: ` The full source of this type of integration is available on StackBlitz. Using Vercel's Managed Next.js Hosting Using the New Relic APM agent on Vercel is currently not possible, as the server part of Next.js runs within lambdas, and not within a typical Node server as in the self-hosted option. In the future, this may be possible. At the moment, the only way to integrate Vercel and New Relic is by using the Vercel OpenTelemetry collector, which is only available for some plans. The first step is to enable the integration in Vercel's dashboard and then install the following packages: ` Create an instrumentation.ts file in the root of your project and add the following code: ` In the the Next.js config (next.config.js), add: ` The OpenTelemetry integration does not work locally, hence the above conditional check. With the above configuration, the collected OpenTelemetry data should be visible in the New Relic dashboard under "All Entities" / "Services - OpenTelemetry". Optionally, Logging via New Relic API When using the Vercel OpenTelemetry integration, there is no easy way to submit custom logs to New Relic. New Relic offers a logging API, however, so to send custom logs from your backend, you could use a logger such as Winston, which has good library support for custom transports, such as the one for New Relic. 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NextJS

How Nuxt Studio is Redefining Developer & User Experience with Baptiste Leproux & Ferdinand Coumau

In this episode of the Modern Web Podcast, Danny Thompson sits down with Ferdinand Como and Baptiste Leproux from Nuxt Labs to uncover the story behind Nuxt Studio, a tool that's transforming how developers and non-technical users interact with Nuxt applications. Ferdinand and Baptiste share how Nuxt Studio bridges the gap between developer customization and user-friendly content management. Built to empower agencies, freelancers, and their clients, Nuxt Studio combines powerful features like live previews, Vue component integration, and schema-driven forms to make managing content seamless. The conversation also explores the broader mission of Nuxt Labs—building sustainable open-source tools that enhance developer experience and meet real-world needs. With insights into the future of Nuxt Studio and its potential to scale for larger organizations, this episode is a must-listen for anyone passionate about innovation in web development. Chapters 1. Introduction and Setting the Stage (00:00:00) 2. The Vision Behind Nuxt Studio (00:03:10) 3. Nuxt Studio’s Core Features (00:08:45) 4. Challenges in Building Nuxt Studio (00:16:20) 5. Target Audience and Use Cases (00:22:35) 6. Sustainability in Open Source (00:29:00) 7. The Future of Nuxt Studio (00:35:10) 8. Nuxt Studio’s Role in the Nuxt Ecosystem (00:42:30) 9. Closing Thoughts and What’s Next (00:48:00) 10. Sponsor Shoutout and Wrap-Up (00:53:20) Follow Baptiste Leproux and Ferdinand Coumau Baptiste Twitter: https://x.com/_larbish Ferdinand Twitter: https://x.com/CoumauFerdinand Baptiste Linkedin: https://www.linkedin.com/in/baptiste-leproux-618842b0/ Ferdinand Linkedin: https://www.linkedin.com/in/ferdinand-coumau-nuxt/ Sponsored by This Dot: thisdot.co...

Nov 20, 2024

2 mins

VueNuxtJS

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Deploying Next.js Applications to Fly.io

The Project

Scaffolding of Fly.io Configuration

Installing the CLI

Logging In

Scaffolding the Fly.io Configuration

Deploying

Handling of Secrets

Build-Time Secrets

Run-Time Secrets

Other Things to Consider

Beware of .env Files

Not Enough Memory?

Conclusion

Dario Djuric

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