[artiscode]

I would really like to see how a raspi cluster fares with "real world" loads, like running an app or a distributed system, instead of calculating pi. I'm genuinely curious whether there would be any gains by running Docker containers, each on a separate Raspberry Pi. I personally am a web developer, therefore my technology stack is almost always the same - an app server, a background worker, a queue and a database. Often the app server and the background worker is the same process, therefore a cluster of 3-4 Pi's would be sufficent for such workloads. Theoretically the combined horsepower of all these Pi's should stack up and deliver better performance than writing code on my M1. Or perhaps I'm trying to solve a problem that doesn't exist.

[thraway123412]

> Theoretically the combined horsepower of all these [4] Pi's should stack up and deliver better performance than writing code on my M1.

If that is the case, then M1 should be the slowest CPU Apple has used in the past 10 years.

[jvanderbot]

M1 is good at ops/watt and also ops/second. M1 probably will still beat the Pi cluster by having a tighter Pareto curve.

[ThrowawayR2]

There's the Geekbench 5 measurements:

Apple M1: https://browser.geekbench.com/v5/cpu/search?utf8=%E2%9C%93&q...

Raspberry Pi 4: https://browser.geekbench.com/v5/cpu/search?utf8=%E2%9C%93&q...

[b3lvedere]

I think that's a great idea! Personally i'd like a nice failover test using a Pi Cluster. So if Pi's when failing and getting replaced on the fly if processes would still be up and running flawlessly. Probably a pretty useless and expensive setup, but i think it'd be awesome to watch.