We're excited to announce not one but… 4 new regions in public preview! Everyone with Starter access or more can now deploy simultaneously across our 6 regions in EU, US, and APAC in literally 1 minute. 🇺🇸 🇩🇪 🇸🇬 🇫🇷 🇯🇵 🌐
You can now deploy across multiple continents with one CLI command, one API call, or one click: we build your application and deploy it on high-performance hardware with built-in load-balancing and private networking across 6 locations.
While the world has been swept away with generative AI, we've stayed focused on our core mission: allowing you to push applications to production with your team, globally, and in minutes. If you're into AI or LLMs, we didn't forget you, you can deploy inference workloads globally on our high-performance hardware.
Here is how you can deploy a Golang application across continents in one CLI command:
koyeb app init fast \ --git github.com/koyeb/go \ --git-branch main \ --regions fra,was,par,sfo,sin,tyo
That's it! In less than 5 minutes, your app will be deployed in 6 regions and, thanks to our global networking layer, your users' traffic will be automatically routed to the nearest location.
You can also do this with the control panel:
For those new to Koyeb, here's what we're all about: we're building a platform that allows you to deploy and run full-stack apps and APIs written with your favorite framework and language without having to deal with infrastructure. No server, networking, or Kubernetes management necessary to get your apps running globally. You simply push your code to your Git repository and we handle the build process and deploy inside of Firecracker microVMs with a ready-to-use network stack.
The public preview adoption has been massive: 50,000 developers have already joined us to build and deploy faster. But we still see teams everywhere struggling to build, run, and scale apps and these new locations will help teams all around the world do exactly this.
New regions follow the same pricing, starting with the nano size at $2.7/mo, accounted per second. We're also excited to share that we will make getting started on the platform even more accessbile with a new Hobby plan including a free machine. Managed PostgreSQL databases are also coming shortly.
Let's dive into why we are building a platform to simplify global deployments, what this requires, how it works, and what is left to do.
The key driver for global deployments is performance: you don't want your users to wait several seconds each time they click on your app waiting for requests to cross oceans and continents.
With many solutions, global means one of two things:
We provide both: anywhere and everywhere.
You can easily deploy to one region, all regions, or anything in between:
If you deploy in 4 regions, users will be routed automatically to the nearest location via our global edge network which has 255 locations.
Our goal is to simplify global deployment while providing an ability to maintain control over:
Our target is to provide an outstanding developer experience and a serverless feeling. We want to be able to deploy and run code globally with the same ops-less feeling that we have when we run locally.
We made the choice to support the usual full-stack apps, microservices, and monolith frameworks because, as of today, it's still the standard way of building applications.
You can simply
git push projects build with your favorite framework to a repo and we'll build your code into a container and deploy it for you. To do this, we build with buildpacks or using a Dockerfile in your repository.
We believe that functions are still not standard or easy to test and maintain. We don't want you to have to learn a non-standard way of writing apps and APIs to deploy to production.
If you already have a Docker or OCI image built with a CI pipeline you like, that's fine by us: you can deploy just as easily from a pre-built container.
Once you've built a container, how do you deploy on hundreds of servers located in several locations and make the app accessible? Deploying globally means dealing with several orechestration and networking components:
Now let's dive into how to deploy everywhere or anywhere using the Koyeb demo app.
Using the Koyeb CLI, we can deploy the application to the Frankfurt, Washington, Tokyo, Singapore, Paris, and San Francisco regions with the following command:
koyeb app init multi-region --docker docker.io/koyeb/demo --ports 3000:http --routes /:3000 \ --regions fra,was,tyo,sin,par,sfo
This automatically triggers the deployment of the app with traffic routed to port 3000. The CLI returns the domain of my app, in this case multi-region-yann.koyeb.app.
App id d67e8fcc name multi-region status STARTING domains ["multi-region-yann.koyeb.app"] created_at 25 Sep 23 22:45 UTC Service ID APP NAME STATUS CREATED AT 1783a351 multi-region multi-region STARTING 25 Sep 23 22:45 UTC
We made a lot of tweaks recently to accelerate network propagation. In about 3 minutes, your app should be live in the US, Europe, and Asia.
$ watch -n 1 koyeb service describe multi-region/multi-region
After about 2 minutes, my app is running in multiple locations.
Every 1.0s: koyeb service describe multi-region/multi-region Service id 8eb373dd app multi-region name multi-region status HEALTHY created_at 25 Sep 23 22:45 UTC Deployments ID SERVICE TYPE STATUS MESSAGES REGIONS CREATED AT a5bdbd39 multi-region/multi-region WEB HEALTHY Deployment is healthy. fra,was,tyo,sin,par,sfo 25 Sep 23 22:45 UTC Instances ID SERVICE STATUS REGION DATACENTER CREATED AT a47e6f0a multi-region/multi-region HEALTHY was was1 25 Sep 23 22:46 UTC 65112cb0 multi-region/multi-region HEALTHY sin sin1 25 Sep 23 22:46 UTC f15e06a4 multi-region/multi-region HEALTHY fra fra1 25 Sep 23 22:46 UTC ec31afb7 multi-region/multi-region HEALTHY tyo tyo1 25 Sep 23 22:46 UTC d1dde41b multi-region/multi-region HEALTHY par par1 25 Sep 23 22:46 UTC dd19d2d4 multi-region/multi-region HEALTHY sfo sfo1 25 Sep 23 22:46 UTC
On the left side of the image, I'm connecting to the Paris edge location which routes me to the Paris location, the nearest one to me at that time. Latencies are high as I'm on a train with poor connectivity. On the other side, I'm located in Vancouver, I go through the Vancouver edge location and I'm routed to San Francisco, the nearest location in this case.
This works with one or dozens of containers per location. The traffic will be automatically routed to the region closest to the request and load-balanced inside of each location.
We're super excited to see how you will leverage this new regions! With just a single CLI command, API call, or a simple click, you can now seamlessly deploy your applications worldwide in the regions that matter most to you. Our advanced networking capabilities and built-in multi-region deployments let you to scale and optimize your apps like never before.
The best part, our pricing remains consistent across all these new regions, starting at just $2.7 per month for a nano instance. Check out our pricing page to learn more
Stay tuned for our upcoming engineering post, where we'll delve deeper into how we built our multi-region engine and how you can leverage our advanced networking capabilities.
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