flyctl VS engine

Fly.io is a platform that enables developers to deploy and run their applications close to their users. It leverages a global network of servers to provide low-latency, high-performance hosting solutions. It simplifies the deployment process by offering a powerful CLI and automated workflows, making it easy to deploy applications with minimal hassle. Additionally, Fly.io supports various programming languages and frameworks, including Next.js, making it a versatile choice for modern web development.

With the Wasp CLI, you can deploy the React frontend, Node.js backend (server), and PostgreSQL database generated by the Wasp compiler to Fly.io with a single command.

This is a MVP for Serverless Postgres.

1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join).

2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2].

3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris using background workers.

I wouldn't recommend using this in production, but I think it's in a good spot to provoke some discussion and ideas. You can get it running on your own machine with the steps provided - connecting to a remote Tigris bucket (can also be an AWS S3 bucket).

[0] https://fly.io

[1] https://www.orioledb.com/

[2] Oriole Experiemental s3: https://www.orioledb.com/docs/usage/decoupled-storage

[3] Tigris: https://www.tigrisdata.com/

Fly.io - Very similar to Heroku too, easy to use and support for multiple stacks/languages.

Fly.io is a cloud platform that allows developers to easily deploy scalable applications. In this article, we will introduce how to manage databases effectively in an application using Remix, Prisma, and LiteFS on Fly.io.

Deploying applications can be a complex and time-consuming process. App deployment tools, such as Fly.io, aim to simplify this process by providing a platform for easily deploying and managing applications.

To begin with, you could go with a Platform-as-a-Service (PaaS) provider like Heroku, or Fly for a more seamless experience. You can also do a bit of DevOps: set up a Docker installation on a VPS and deploy your app there.

To begin visit fly.io to create an account. Next install flyctl a command line tool for creating and deploying fly apps. macOS

For frontend deployment, I used Netlify (for the generous free package) and the recommended fly.io for server + database (also cheap package).

Create an account on Fly.io.

Qovery: Qovery simplifies the deployment process for Kubernetes by letting you declare your project's structure and dependencies, making it an excellent choice for startups looking to focus on development without worrying about infrastructure.

Enter Qovery - an Internal Developer Platform that can be installed on any Kubernetes cluster to bring a delightful and simplified developer experience. But don't take my word for granted. In this quick step-by-step article, I will show you how to deploy one of my GitHub apps and a Postgres database on my Kubernetes cluster running on GCP. And what's really really cool is that I don't even need to understand how Kubernetes work!

Qovery is a comprehensive PaaS tool that offers a range of features to simplify the deployment and management of applications. With Qovery, you can easily deploy your applications in various cloud environments, eliminating the complexities of infrastructure setup. Its intuitive and developer-friendly interface, Git integration, and automatic scaling capabilities make it a powerful choice for building a custom PaaS. Qovery's seamless integration with popular frameworks and databases further enhances its appeal.

Qovery https://www.qovery.com

I have one of my customers who want to use Qovery to deploy their apps on AWS China. Technically speaking, Qovery runs on Kubernetes and on all the usual AWS regions. But AWS China (Beijing) is a bit different (cf here)

Combining GitLab (CI) with Qovery (CD) sounds what you need.

I am eager to get your feedback on Qovery - an open-source CD platform that helps thousands of developers and DevOps to build and scale on AWS.

Qovery - an open-source platform that makes AWS easier and there is a Terraform provider available