parse-server VS Packer

Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else.

Prototype Pollution Fix

Parse Server is a great way to quickly spin up a backend for your project. Parse is a Node based utility that sits on top of ExpressJS.

Parse

You can try https://parseplatform.org/, it is self-hosted if you need. And also there are a number of cloud services with compatible API, like https://www.back4app.com/ It has dart-friendly generated API client, much simpler than firebase and is built on top of postgresql and mongodb.

Parse - https://parseplatform.org/

Not to crash the party or anything. Supabase is great and all but in terms of feature completeness and getting actual products built, it doesn't come close to Parse[0].

Same with Appwrite. Both of these are very popular but they either lack essential features or have them behind a subscription wall. For example, the OSS version of Supabase (last I checked) doesn't include the edge functions which are really important for easily computing stuff on the server side. Parse on the other hand is 100% open source and has a huge feature set. It's older than all of these lo-code tools and actually helps solve the issues one comes across when using such tools.

Another thing is extending these tools which is a pain. For example, Parse supports multiple databases by default (postgres & MongoDB) and the ability to write a custom adapter if you need something else. Similarly, if you at any point need to go 100% custom it also makes that possible so you are never locked in. These tools however don't have that level of low-level control and are general all or nothing kind of tools best for small-to-medium sized problems which don't have a lot of room to grow.

But both of these (Appwrite & Supabase) are super markety. Appwrite is all over the place with their ads, Supabase got a huge trend when it launched etc. Parse on the other hand is not too good at marketing their product being fully community run which is one reason not many know of it. Another is their not-so-fancy docs.

I have no stake in any of these products: just my conclusion after having tried all of these.

[0] https://parseplatform.org/

The missing piece of puzzle is the AMI "golden image" that will be used to start the instances in autoscaling group. The AMI has to have NGINX and PHP installed with the list of required modules enabled. The great tool to brew one is hashicorp packer.

To manage a VM, you can use something as simple as just manual actions over SSH, or can use tools like Ansible, Hashicorp's Packer and Terraform or other automations. For an app where there is minimal load and security/reliability concern, VMs are still a great option that provide a lot of value for the buck

Server templating: Using Packer has never been easier to create reusable server configurations in a platform-independent and documented manner.

I'll give you hard, but rewarding and easy to modify(once you know what you're doing) way. Packer may be a thing you're looking for.

It is straightforward to build them with packer (I have built AMIs for 13.0 and 13.1, but 13.2 should be exactly the same). I've been meaning to write a blog post about it for a while, but have not gotten to it yet... In any case, what I am doing is using the EBS Surrogate Builder to start an instance running the official FreeBSD 13.2 image with an extra volume attached and run a script to create a zpool on the extra volume and bootstrap and configure FreeBSD 13.2-RELEASE on it. After that packer takes care of creating an AMI out of that extra volume, so you can use it... If you have any issues, let me know, and maybe I will finally get to writing that blog post...

HashiCorp Packer is a tool for creating machine images for a variety of platforms, including AWS, Azure, and VMware. It allows you to define machine images as code and supports a wide range of configuration options.

Packer is a tool that can be used to build machine images. Basically, it takes a base image, runs a series of steps to provision that image, and then burns a new image. In my workplace we use it heavily to build AWS AMIs. But it has an ARM plugin that looks to be very very suitable for building customised Raspberry Pi images (my quick read of the doco there says it can go ahead and write the final image to an SD card for you too).

Seems related to https://github.com/hashicorp/packer/issues/12118 But the workaround discribed in the comments doesn’t seems to work anymore

I'd suggest using a tool like Packer to build a gold image based on your base AMI and all your changes. Then you'll have your own AMI you can launch new instances with.