clusterplex
QEMU
clusterplex | QEMU | |
---|---|---|
11 | 190 | |
388 | 9,385 | |
- | 2.5% | |
7.4 | 10.0 | |
17 days ago | 5 days ago | |
JavaScript | C | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clusterplex
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Run a single Plex server across multiple physical servers?
Clusterplex
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Plex on Kubernetes with intel iGPU passthrough - Small how to
I'm also very interested in distributing transcoding jobs via https://github.com/pabloromeo/clusterplex. Have you tried that yet?
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Has anyone used HAproxy for load balancing their PMS?
Here is a link to one of the Cluster projects: https://github.com/pabloromeo/clusterplex
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[FS][USA-CT] Intel NUC NUC6i7KYK Skull Canyon (32GB RAM, 256GB NVME SSD)
I use a forked version of this: https://github.com/pabloromeo/clusterplex which has been working awesome.
- Unraid, Plex transcoding and Rocket/Alder/Raptor lake or GPU
- Tdarr is a lifechanger!
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4k transcoding performance, CPU or old Nvidia card?
This is not true. You could setup Plex in a cluster and based on which content is requested let it handle by a certain transcoding worker. You have Clusterplex or you have UnicornTranscoder. Both are actively maintained repositories. This does however require some knowledge of Linux/Kubernetes so if OP (/u/slacktopuss) doesn't know how Ubuntu and Kubernetes works, it's going to take a long time before you're up and running.
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Transcode Media on different machine
And if UnicornTranscoder isn't it, you can always look intoClusterPlex's implementation. Basically the same as how UnicornTranscoder works (Node.JS as balancer and some remote FFMPEG installs).
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Multi-arch docker images the easy way, with Github Actions
To see full working examples of this we can take a look at the builds of two pet projects of mine: Docker-Dogecoin and ClusterPlex.
- /r/Plex's Share Your Build Thread - 2021-11-20
QEMU
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QEMU Version 9.0.0 Released
My most-wanted QEMU feature: https://github.com/qemu/qemu/commit/a2260983c6553
Using `gic-version=3` on macOS you can now use more than 8 cores on ARM chips.
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Autoconf makes me think we stopped evolving too soon
A better solution is just to write a plain ass shell script that tests if various C snippets compile.
https://github.com/oilshell/oil/blob/master/configure
https://github.com/oilshell/oil/blob/master/build/detect-pwe...
Not an unholy mix of m4, shell, and C, all in the same file.
---
These are the same style as a the configure scripts that Fabrice Bellard wrote for tcc and QEMU.
They are plain ass shell scripts, because he actually understands the code he writes.
https://github.com/qemu/qemu/blob/master/configure
https://github.com/TinyCC/tinycc/blob/mob/configure
OCaml’s configure script is also “normal”.
You don’t have to copy and paste thousands of lines of GNU stuff that you don’t understand.
(copy of lobste.rs comment)
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WASM Instructions
Related:
A fast Pascal (Delphi) WebAssembly interpreter:
https://github.com/marat1961/wasm
WASM-4:
https://github.com/aduros/wasm4
Curated list of awesome things regarding WebAssembly (wasm) ecosystem:
https://github.com/mbasso/awesome-wasm
Also, it would be nice if there was a WASM (soft) CPU for QEMU, which (if it existed!) would go here:
https://github.com/qemu/qemu/tree/master/target
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Revng translates (i386, x86-64, MIPS, ARM, AArch64, s390x) binaries to LLVM IR
> architectural registers are always updated
In tiny code, the guest registers (global TCG variables) are stored in the host's registers until you either call an helper which can access the CPU state or you return (`git grep la_global_sync`). This is the reason why QEMU is not so terribly slow.
But after a check, this also happens when you access the guest memory address space! https://github.com/qemu/qemu/blob/master/include/tcg/tcg-opc... (TCG_OPF_SIDE_EFFECTS is what matters)
But still, in the end, it's the same problem. What QEMU does, can be done in LLVM too. You could probably be more efficient in LLVM by using the exception handling mechanism (invoke and friends) to only serialize back to memory when there's an actual exception, at the cost of higher register pressure. More or less what we do here: https://rev.ng/downloads/bar-2019-paper.pdf
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State of x86-64 emulation of non-MacOS binaries
Um, in case you don't know, UTM (based on QEMU) is out for quite a while.
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Multipass: Ubuntu Virtual Machines Made Easy
Some of these tools include Oracle VM VirtualBox (that I've used since before the acquisition of Sun Microsystems by Oracle), VMWare Workstation Player, and QEMU, but last year, I found out about Multipass.
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Libsodium: A modern, portable, easy to use crypto library
For C/C++ projects that use meson as the build system, there is an excellent way to manage dependencies:
https://mesonbuild.com/Wrapdb-projects.html
https://mesonbuild.com/Wrap-dependency-system-manual.html
meson will download and build the libraries automatically and give you a variable which you pass as a regular dependency into the built target:
https://github.com/qemu/qemu/tree/005ad32358f12fe9313a4a0191...
https://github.com/harfbuzz/harfbuzz/tree/main/subprojects
https://github.com/harfbuzz/harfbuzz/blob/37457412b3212463c5...
Or, if you're using proper operating systems, they're managed by the usual package manager, just like everything else.
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Top 6 Virtual Machine Software in 2023
For all the users of the Linux platform, QEMU is the VM that you should go for. This software comes without any price tag and works as an emulator of various machines with utmost ease and completion; the software uses dynamic translations to emulate hardware peripherals and enhances its overall performance. If you are using QEMU as a virtualizer, then it will function exactly like the host system (provided you have the right set of hardware).
- Show HN: I'm 17 and wrote this guide on how CPUs run programs
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UTM for Developers
In this tutorial, we set up macOS and Windows virtual machines on UTM, a macOS application that provides a GUI wrapper for QEMU, a powerful open-source emulator and virtualizer. UTM allows you to easily manage and run virtual machines without memorizing complex commands. It also has special handling for macOS, making it simpler to install compared to other virtual machine software.
What are some alternatives?
UnicornTranscoder - Remote transcoder for Plex
UTM - Virtual machines for iOS and macOS
HBBatchBeast - A free GUI application for HandBrake and FFmpeg/FFprobe with an emphasis on batch conversion (including recursive folder scans and folder watching) -Windows, macOS, Linux & Docker
TermuxArch - Experience the pleasure of the Linux command prompt in Android, Chromebook, Fire OS and Windows on smartphone, smartTV, tablet and wearable https://termuxarch.github.io/TermuxArch/
setup-qemu-action - GitHub Action to install QEMU static binaries
Unicorn Engine - Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)
intel-device-plugins-for-kubernetes - Collection of Intel device plugins for Kubernetes
Vagrant - Vagrant is a tool for building and distributing development environments.
home-cluster - k3s cluster using gitops (flux) and renovate automation
xemu - Original Xbox Emulator for Windows, macOS, and Linux (Active Development)
setup-buildx-action - GitHub Action to set up Docker Buildx
em-dosbox - An Emscripten port of DOSBox