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- RASPBERRY PI SABNZBD SOFTWARE
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Why would anyone want build a cluster of any type of computer? I already mentioned you don't just get to lump together all the resources.
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But why a cluster?īut before we get to specifically why some people build Pi clusters, let's first talk about clusters in general. And many people run things like Home Assistant on Pis to manage home automation, and there are thousands of different Pi-based automation solutions for home and industry.
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I'm considering hosting NextCloud and Bitwarden soon, to help reduce my dependence on cloud services and for better password management. And that includes most things you'd run on servers these days, thanks to Apple adopting ARM with the new M1 Macs, and Amazon using Graviton instances in their cloud.
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Pretty much any application that can be compiled for ARM processors will run on the Pi.
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I also have another set of Pis that typically runs Kubernetes (and hosts, among other sites), but I'm rebuilding that cluster right now, so the other sites are running on a DigitalOcean VPS.īut there's tons of other software that runs great on Pis. (I'll be exploring my backup strategy in-depth and sharing my open source backup configuration later this year.) This next Pi runs Docker and serves the website .Īnd the next one manages backups for my entire digital life, backing up everything offsite on Amazon Glacier. That Pi's also running Pi-hole for custom DNS and to prevent ad tracking on my home network. Luckily, there's a LOT of software that does run well in smaller chunks, in parallel.įor example, right now in my little home cluster-which I'm still building out-I'm running Prometheus and Grafana on one Pi, monitoring my Internet connection, indoor air quality, and household power consumption. Software like that simply won't run on any Pi cluster, no matter how big.
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Throwing Flight Simulator at a giant cluster of computers isn't gonna make it any faster. But there's other software, like games, that can only address one GPU and one CPU at a time. Some software will work well in parallel. The key here is that tasks must be split up to work on members of the cluster. Instead, a cluster is a group of similar computers-or even in some cases, wildly different computers-that can be coordinated through some sort of cluster management to perform certain tasks. Storage can sometimes be aggregated in a cluster, to a degree, but even there, you suffer a performance penalty and the complexity is much higher over just having one server with a lot more hard drives. You still have two separate 4-core CPUs, and two separately-addressable 8 gig portions of RAM. Some people think when you put together two computers in a cluster, let's say both of them having 4 CPU cores and 8 gigs of RAM, you end up with the ability to use 8 CPU cores and 16 gigs of RAM.
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Go watch the video on YouTube if you'd rather watch the video instead of reading this post! What a Pi cluster CAN'T do Note: This blog post corresponds to my YouTube video of the same name: Why would you build a Raspberry Pi Cluster?. Well, the first thing I have to clear up is what a Pi cluster isn't. right?īefore we go any further, I'd say probably 90 percent of my readers shouldn't build a Pi cluster.
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Many asked out of curiosity, while others seemed to shudder at the very idea of a Pi cluster, because obviously a cheap PC would perform better. After I posted my Raspberry Pi Blade server video last week, lots of commenters asked what you'd do with a Pi cluster.