[nickjj]

> You don’t need to route every write to primary though, but only those writes that have dependencies on other writes.

Thanks, can you give an example of how that works? Did you write your own fork of Postgres or are you using a third party solution like BDR?

Also do you have a few use cases where you'd want writes being dependent on another write?

> 6-7 probably do the job quite well

You could, let's call it 5.

For a 2gb set up would that be about $50 for the web app, $50 for the background workers, $160ish for postgres and then $50 for Redis? We're still at $300+?

I was thinking maybe 5 background workers wasn't necessary but frameworks like Rails will put a bunch of things through a background worker where you would want low latency even if they're happening in the background because it's not only things like sending an email where it doesn't matter if it's delayed for 2 seconds behind the scenes. It's performing various Hotwire Turbo actions which render templates and modify records where you'd want to see those things reflected in the web UI as soon as possible.

[manmal]

> Thanks, can you give an example of how that works?

I just noticed I formulated it wrong, my apologies. What I meant is that the replicating regions don’t need to wait for the primary writes to go through before they respond to clients. They will still be read-only Postgres replicas, and info could be shuttled to primary in a fire-and-forget manner, if that’s an option.

Whenever an instance notices that it‘s not primary, but it is currently dealing with a critical write, it can refuse to handle the request, and return a 409 with the fly-replay header that specifies the primary region. Their infra will replay the original request in the specified region.

> Did you write your own fork of Postgres or are you using a third party solution like BDR?

When using fly.io, the best option would probably be to use their postgres cluster service which supports read-only replicas (can take a few seconds for updates to reach replicas): https://fly.io/docs/getting-started/multi-region-databases/

> For a 2gb set up would that be about $50 for the web app, $50 for the background workers, $160ish for postgres and then $50 for Redis? We're still at $300+?

Maybe. A few thoughts:

- Why would you need 5 web workers, would one running on primary not be ideal? If you need so much compute for background work, then that’s not fly‘s fault, I guess.

- Not sure the Postgres read replicas would need to be as powerful as primary

- Crazy idea: Use SQLite (replicated with Litestream) instead of Redis and save 50 bucks

[nickjj]

> Why would you need 5 web workers, would one running on primary not be ideal?

It's not ideal due to some frameworks using background jobs to handle pushing events through to your web UI, such as broadcasting changes over websockets with Hotwire Turbo.

The UI would update when that job completes and if you only have 1 worker then it's back to waiting 100-350ms to reach the primary worker to see UI changes based on your location which loses the appeal of global distribution. You might as well consider running everything on 1 DigitalOcean server for 15x less at this point and bypass the idea of global distribution if your goal was to reduce latency for your visitors.

> Crazy idea: Use SQLite (replicated with Litestream) instead of Redis and save 50 bucks

A number of web frameworks let you use Redis as a session, cache and job queue back-end with no alternatives (or having to make pretty big compromises to use a SQL DB as an alternative). Also, Rails depends on Redis for Action Cable, swapping that for SQLite isn't an option.

[nicoburns]

For low-latency workers like that it might make sense to just run them on the same instance as the web servers.

[nickjj]

Does Fly let you run multiple commands in separate Docker images? That's usually the pattern on how to run a web app + worker with Docker, as opposed to creating an init system in Docker and running (2) processes in 1 container (this goes against best practices). The Fly docs only mention the approach of using an init system inside of your image and also tries to talk you into running a separate VM[0] to keep your web app + worker isolated.

In either case I think the price still doubles because both your web app and worker need memory for a bunch of common set ups like Rails + Sidekiq, Flask / Django + Celery, etc..

[0]: https://fly.io/docs/app-guides/multiple-processes/

[throwaway892238]

It's interesting that their bash init uses fg %1. That may return only on the first process changing state, rather than either process exiting. It should probably use this instead:

  #!/usr/bin/env bash
  /app/server &
  /app/server -bar &
  wait -f -n -p app ; rc=$?
  printf "%s: Application '%s' exited: status '%i'\n" "$0" "$app" "$rc"
  exit $rc

[tptacek]

That looks a million times better than the horrible hack I wrote. Do you want credit for it when I fix the doc?

[throwaway892238]

Only if it's credited to either "IPBH" or "Some Bash-loving troll on Hacker News" (ninja edit, sry)

[tptacek]

Done!

[tptacek]

It sounds like you're asking if we offer some alternative between running multiple processes in a VM, and running multiple VMs for multiple processes. What's the third option you're looking for? Are you asking if you can run Docker inside a VM, and parcel that single VM out that way? You've got root in a full-fledged Linux VM, so you can do that.

[nickjj]

> Are you asking if you can run Docker inside a VM, and parcel that single VM out that way? You've got root in a full-fledged Linux VM, so you can do that.

On a single server VPS I'd use Docker Compose and up the project to run multiple containers.

On a multi-server set up I'd use Kubernetes and set up a deployment for each long running container.

On Heroku I'd use a Procfile to spin up web / workers as needed.

The Fly docs say if you have 1 Docker image you need to run an init system in the Docker image and manage that in your image, it also suggests not using 2 processes in 1 VM and recommends spinning up 1 VM per process.

I suppose I was looking for an easy solution to run multiple processes in 1 VM (in this case multiple Docker containers). The other 3 solutions are IMO easy because once you learn how they work you depend on the happy path of those tools using the built in mechanisms they support. In the Fly case, not even the docs cover how to do it other than rolling your own init system in Docker.

If you have root, can I run docker-compose up in a Fly VM? Will it respect things like graceful timeouts out of the box? Does it support everything Docker Compose supports in the context of that single VM?

[mrkurt]

This is embarrassingly non obvious in the docs, but you can run workers/web just like you would on Heroku: https://community.fly.io/t/preview-multi-process-apps-get-yo...

Most people run workers in their primary region with the writable DB, then distribute their web/DB read replicas.

[tptacek]

The document you cited (I wrote it!) is entirely about the different ways to run multiple processes in 1 VM.

There's no reason I can see why you couldn't run a VM that itself ran Docker, and have docker-compose run at startup. I wouldn't recommend it? It's kind of a lot of mechanism for a simple problem. I'd just use a process supervisor instead. But you could do it, and maybe I'm wrong and docker-compose is good for this.

What you can't do is use docker-compose to boot up a bunch of different containers in different VMs on Fly.io.

[nicoburns]

I think docker-compose is pretty good at this. One advantage is that you get a development environment and a production setup in a singe config file.

I feel like this setup might make quite a lot of sense if you have a bunch of micro services that are small enough that they can share resources.

[nicoburns]

Not sure how Ruby works, but can you not run the workers and the web server in the same process? In our Node.js apps, this is as simple as importing a function and calling it.

[nickjj]

Most of the popular background workers in Ruby run as a separate process (Sidekiq, Resque, GoodJob). The same goes for using Celery with Python. I'm not sure about PHP but Laravel's docs mention running a separate command for the worker so I'm guessing that's also a 2nd process.

It's common to separate them due to either language limitations or to let you individually scale your workers vs your web apps since in a lot of cases you might be doing a lot of computationally intensive work in the workers and need more of them vs your web apps. Not just more in number of replicas but potentially a different class of compute resources too. Your wep apps might be humming along with a consistent memory / CPU usage but your workers might need double or triple the memory and better cpus.

[nicoburns]

Yeah, it definitely makes sense to be able to scale workers and web processes separately. It just so happens that they app I work on for my day job is:

1. Fairly low traffic (requests per minute not requests per second except very occasional bursts)

2. Has somewhat prematurely been split into 6 microservices (used to be 10, but I've managed to rein that back a bit!). Which means despite running on the smallest instances available we are rather over-provisioned. We could likely move up one instances size and run absolutely everything on the one machine rather than having 12 separate instances!

3. Is for the most part only really using queue-tasks to keep request latency low.

Probably what would make most sense for us is to merge back in to a monolith, but continue to run web and worker processes separately I guess. But in general, I there is maybe a niche for running both together for apps with very small resource requirements.