chamber VS flyctl

Chamber takes an opinionated view on AWS Parameter store as compared to ssmsh

Building on this I’ve found https://github.com/segmentio/chamber to be super useful

For secrets, the PaaS platform (Github Actions, Fly.io, etc.) I usually use has a method that works with environment variables. If I need something custom on AWS, then I use Chamber backed by AWS KMS.

We use Chamber (https://github.com/segmentio/chamber) to do this for us. Bring it into your image and use the environment variables as necessary. Some applications support using environment variables natively, you might need to add a script to write them into your config files.

You can take a look at some code I wrote a while back to do this if you want examples https://github.com/segmentio/chamber/blob/master/store/ssmstore.go .

We use AWS Parameter Store and segmentio/chamber.

https://github.com/segmentio/chamber is nice with parameter store, ive used it in the past.

Use Chamber.

For interacting with SSM, I would recommend using https://github.com/segmentio/chamber. You could add something to your user-data script that uses chamber to load a config file (chamber export is one way to do it) from SSM on startup. You could also use Systems Manager to enable you to do a "hot reload" of sorts by sending a command to your server to run the chamber command and restart your application.

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.

You can learn more about fly.io and tigris, we will need to create an account on both platforms for this project regardless. Anyway with the theory out of the way let's get started in the next section as we create our accounts and start building the app.

Fly.io is a platform that helps you run your apps and databases closer to your users all around the world. It takes your app code, packages it up neatly, and puts it on virtual machines that can be quickly started or stopped. This makes your app faster for users and more reliable. Fly.io is easy to use, works well for small projects or personal apps. It's a great way to make sure your app runs smoothly for people no matter where they are.

In this post, we'll start from scratch, running FerretDB locally via Docker, trying out the connection with mongosh and the MongoDB Node.js client, and finally deploy FerretDB to Fly.io for a production ready set up.

2- fly.io

Fly is a cloud platform that focuses on global edge computing. Fly specializes in high-performance hosting and provides a global network of edge locations. Fly is known for its scalability and performance optimizations.

But videototextai.com is built using NextJS + Firebase auth + Firestore and a backend deployed at fly.io . Fly makes it really easy to deploy docker containers and that is IMO the fastest way to develop, you can setup a local setup

Alternatives explored: * northflank: While running the wrk test, requests were taking 3-7 seconds. Couldn't repeat Heroku's phenomenon of "400ms-800ms" during such a load test. * fly.io: Reliability: It’s Not Great * render.com: I remember the time when indiehackers.com was down because of an outage on Render, not sure if it's worth trusting.