[smaili]

I believe this little piece answers your question:

> We likely could have addressed this behavior in Image Proxy, but we had been experimenting with using more Go, and it seemed like a good place to try Go out.

At the heart of if, they were looking for opportunities to use more Go in their stack and they deemed this situation as a fit.

[prophesi]

And they ended up open-sourcing the library they built, so it's a win on all sides.

[fleitz]

The age old solution in search of a problem.

[Karrot_Kream]

I think that's a bit reductionist, no? There are many reasons they may have been searching for moving to Go. Off the top of my head I can think of:

1. Static typing increasing confidence and velocity

2. Better developer-facing tooling increasing velocity

3. More employees knowledgeable about Go than Python

4. More enthusiasm (and therefore faster velocity) around Go development.

The blog post was about the engineering challenges they faced and how they solved them and I think it was a great write-up in that regard. The post wasn't about why they switched this service from Python to Go.

[fleitz]

It might be, then again I see a lot of wheel reinvention in tech / NIH syndrome.

I'm the kind of hacker who if a service runs out of memory every 2 hours, writes a crontab to restart it every hour after X random minutes so they don't all restart at the same time. It gets a lot of eye rolls from the other engineers searching for perfection, but it tends to produce services quickly that are highly reliable.

And look now the engineers who like chaos monkey don't even have to set that up. It's built in.

It looks like most of the savings were in switching from pillow to opencv, something that thumbor already does. https://github.com/thumbor/opencv-engine

[brightball]

Part of it is just Discord’s operating scale. They are already leveraging Elixir clustering to an extremely high rate of concurrency and when you start thinking about problems from that standpoint Go becomes a much more natural fit within the stack for low level micro services.

[Karrot_Kream]

I agree that tech in general and Silicon Valley in particular has a lot of NIH, but I also think this isn't really the case here. In particular, we're discussing a Python service that performs slow image resize calls. They would have (probably, speculation on my part/experience) had to do 2 things:

1. Add profiling and telemetry to their Python code. Refactor the codebase based on insights from this.

2. Write a C<->Python interop for their image libraries.

I can't see the cost of #2 being any different than the cost they paid on writing it in Go. As for #1, depending on how the code is structured, a rewrite may have been less time than profiling spaghetti code. At that point, it depends on how much Go experience the team has.