BLACK FRIDAY: Save 50% on all my Swift books and bundles! >>

How to configure your Mac for server-side Swift development

Learn how to set up Docker on your Mac so you can get busy with server-side Swift today.

Paul Hudson       @twostraws

Working with server-side Swift is quite different from client-side Swift such as iOS and macOS for one large reason: macOS is very rarely used on servers. It’s possible to use macOS for your web server, but this usually only happens if someone desperately needs macOS features such as Xcode running on a remote server.

Instead, servers are primarily the domain of Linux, an open-source operating system that has some things – but not many! – in common with macOS. Swift was ported to Linux some time ago, but only some of Apple’s libraries have been ported, and even then aren’t still 100% complete.

As a result, the best way to ensure your server-side Swift code will work on your server is to build and run your code on Linux every step of the way. You can code on macOS if you want, it doesn’t really matter – but you do need to build and run on Linux, to ensure what you’ve written can be deployed to a real server.

If you aren’t already running Linux as your desktop operating system, there are four options you can take:

  1. Use virtualization software such as VMware Fusion or Parallels. This lets you install a full version of Ubuntu Linux locally, for coding and testing.
  2. Set up a cloud server using something like Digital Ocean. This costs about $5 per month, or less if you pause the instance when you don’t need it.
  3. Use Docker, which is a bit like an invisible virtual machine running Linux on macOS.
  4. Pretend Linux doesn’t exist, and build and run everything on macOS.

Of the four options, #3 is by far the most popular, and it’s what we’ll be using for this article. Docker is a free program you can install, it lets you create Linux containers that are pre-configured for running Kitura, and it blurs the lines between macOS and Linux because you can write your code on macOS and run it inside the Linux instance.

To get started with Docker, go to https://docs.docker.com/docker-for-mac/ and click “Get Docker for Mac (stable)” to download the latest version of Docker. When the DMG has downloaded, double-click it to open, then drag it to Applications. Once it has finished copying, browse to your Applications folder in Finder and double-click Docker to start it – you’ll be asked to enter your admin password in order to complete setup.

Note: this article is an excerpt from my book Server-Side Swift.

Save 50% in my WWDC sale.

SAVE 50% All our books and bundles are half price for Black Friday, so you can take your Swift knowledge further without spending big! Get the Swift Power Pack to build your iOS career faster, get the Swift Platform Pack to builds apps for macOS, watchOS, and beyond, or get the Swift Plus Pack to learn advanced design patterns, testing skills, and more.

Save 50% on all our books and bundles!

A brief Docker primer

To make things simple for people starting server-side Swift, I’ve crafted one Docker command that does everything you need to create, start, and gain access to an environment where you can run your projects.

Once you’ve installed the Docker app and started it, you should see a whale icon in your Mac’s status bar - that shows the Docker virtualization system is running.

Now open a terminal and run these commands to create a directory on your desktop where you’ll store all your server projects:

cd Desktop
mkdir server
cd server

Note: It’s possible your terminal starts you at a different location. If you see “~” in there then the commands above are correct, but if you see “~/Desktop” or similar then you’re already in your Desktop directory and can skip the first command.

That creates a directory called “server” and changes into it so that it’s the current working directory. Now run this command:

docker run -itv $(pwd):/projects --name projects -w /projects -p 8089:8089 -p 8090:8090 -p 5984:5984 twostraws/server-side-swift /bin/bash

Yes, that’s quite a lot, but it’s because I’ve tried to cram everything into one!

What the command does is:

  • Tell Docker that we want to run a command in a new container – an isolated virtual machine that will run Linux.
  • Request an interactive terminal (“it”), which is something we can type commands using /bin/bash – the default Linux terminal.
  • Attaches a volume (“v”), which means “/projects” inside the container will refer to the current working directory.
  • Tells Docker that we want to map our network port 8089 to the container’s port 8089, map our network port 8090 to the container’s port 8090, and our network port 5984 to the container’s port 5984. More on that in a moment!
  • Names the container “projects” (“--name projects”) so we can refer to it more easily.
  • Sets the working directory to be “/projects” so we start ready to go.
  • Tells Docker to build the container using “twostraws/server-side-swift”, which is a pre-configured Docker container that I’ve designed to make this book easy to follow. It contains everything we need to get started.

When you run that command Docker will need to download all the components required to make the container work, including Ubuntu itself as well as my customizations. If you’re curious, my customized version updates all the software, adds Swift, Curl, CouchDB, and MySQL, ready for all the projects in my Server-Side Swift book, and is based on IBM’s own Docker container.

After a few minutes you’ll find yourself looking at a terminal prompt like this:

root@f2429f0045db:/projects#

That means installation has now completed: you’re now in the “projects” directory inside the container. This is mapped to the current working directory, so if you create any files here you’re really creating files in the “server” directory on your Mac’s desktop, and if you change any files in macOS those changes will be reflected in the Docker container.

Using one Docker container for all projects isn’t the preferred way of working, but it’s fine for beginners. When you become more experienced you’ll start creating individual containers for each project, and indeed each part of a project, but the single-container approach makes life easier for now.

The command you ran bridged the network ports 8089, 8090, and 5984 inside the container to ports 8089, 8090, and 5984 on your Mac. What this means is that if you try access any of those ports on your Mac, you get seamlessly transferred to the container.

We did this because IBM’s Kitura server runs on port 8090 by default, so it allows us to test content directly from a web browser on your Mac. Port 5984 isn’t used until project two in the book, and 8089 isn’t used until project eleven, but we need to configure both them and 8090 now, when creating the container. You’ll see this in action soon enough!

Before we’re done, I want to show you a few important Docker commands to help you get into and out of your container.

Right now, you see a prompt like this one:

root@f2429f0045db:/projects#

I say “like” because the string of letters after the @ sign will be unique to you – container IDs are created randomly. The # sign means you’re currently root, so you have full control over the virtual system, and we’ll be using that to install extra software later on.

Try running the command exit now, and after a few seconds you’ll be back to your regular macOS terminal prompt. What you just did was quit your Docker terminal, which effectively terminates the container. It still exists on your disk, but because “/bin/bash” was the main process of the machine and we just quit it, the container will cease running.

Now that you’re back on the macOS terminal, run this command: docker ps. This shows a list of running containers, and you’ll see it doesn’t show any containers. Instead, you’ll see just some column headers where information would be, such as “CONTAINER ID”, “IMAGE”, and so on.

The list is empty because it shows only running containers, and exiting our container stopped it from running. We can ask for a list of all containers, running or otherwise, with this command: docker ps -a. Note the extra “-a” in there. This time you’ll see the “projects” container listed, and it will have the status “Exited”.

We gave our container the name “projects” so that it’s easy to refer to, so let’s start it now: run docker start projects then wait a few seconds. You should see “projects” written back to your terminal window, then your regular macOS command prompt. That’s Docker’s extremely laconic way of saying “your container is now running.”

To verify that “projects” is active, try running the docker ps again. This time you’ll see your container listed with the status “Up about a minute”, showing that it’s active. This time, though, it’s active without us having a Bash terminal inside, so we can carry on working inside the macOS terminal as if Docker weren’t there.

So, now we have a fully configured Kitura Docker container up and running, and it’s effectively invisible – you could quit the Mac’s Terminal app altogether and Linux would carry on running in the background. This is the preferred state for containers once you’ve finished development: you start them up, then forget about them.

Of course, sometimes you’re going to want to get back into the container to make changes. Later on, for example, we’re going to be installing MySQL inside the container so that we have access to a database. To do that, you need to attach to a container that’s running – to connect to its existing Bash terminal so you’re back at the root prompt.

To attach to the “projects” container, run this command: docker attach projects. You might need to press Return a couple of times, but after a few seconds you should be back at the root prompt inside your container. During development – when you need to run builds frequently – I usually keep the container attached for easy access.

Tip: If you want to start your container and attach at the same time, use docker start -i projects.

Now that you’re back inside the container, running exit will make it terminate just like before. More commonly you’ll want to detach from the container, which means “get me back to my macOS terminal, but leave the container running.” This is done using two special keystrokes: Ctrl+p followed by Ctrl+q. These should be pressed one after the other rather than together.

When you press those two, you’ll immediately be returned to your macOS terminal, but the “projects” container will carry on running. You can attach again using docker attach, then detach, attach, detach, and so on; it will just carry on running.

If you ever want to destroy the container, use docker rm projects. If it’s currently running you’ll be told to stop it first, or add the -f parameter to force removal.

One last thing before we’re done with Docker: once you’ve created your Kitura container, Docker automatically saves the image required to recreate it. This means you can create more containers from the same image – “ibmcom/kitura-ubuntu” – in just a few seconds, because Docker doesn’t need to download it again.

Once again, Docker really is the preferred approach to server-side Swift development. With the setup above, you’re able to write your code using your preferred macOS tools, test using your preferred macOS web browser, but build and run using Linux. This means you’re in the perfect position to transfer your code to a real server when you’re ready, without having to constantly transfer files along the way.

Save 50% in my WWDC sale.

SAVE 50% All our books and bundles are half price for Black Friday, so you can take your Swift knowledge further without spending big! Get the Swift Power Pack to build your iOS career faster, get the Swift Platform Pack to builds apps for macOS, watchOS, and beyond, or get the Swift Plus Pack to learn advanced design patterns, testing skills, and more.

Save 50% on all our books and bundles!

BUY OUR BOOKS
Buy Pro Swift Buy Pro SwiftUI Buy Swift Design Patterns Buy Testing Swift Buy Hacking with iOS Buy Swift Coding Challenges Buy Swift on Sundays Volume One Buy Server-Side Swift Buy Advanced iOS Volume One Buy Advanced iOS Volume Two Buy Advanced iOS Volume Three Buy Hacking with watchOS Buy Hacking with tvOS Buy Hacking with macOS Buy Dive Into SpriteKit Buy Swift in Sixty Seconds Buy Objective-C for Swift Developers Buy Beyond Code

Was this page useful? Let us know!

 
Unknown user

You are not logged in

Log in or create account
 

Link copied to your pasteboard.