spawner
QEMU
spawner | QEMU | |
---|---|---|
6 | 190 | |
451 | 9,277 | |
- | 1.3% | |
9.0 | 10.0 | |
over 1 year ago | 7 days ago | |
Rust | 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.
spawner
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Container + SSH = a good development environment
For the “jhub but for any container that speaks HTTP” use case, you might find our Spawner project interesting: https://github.com/drifting-in-space/spawner
We don’t have a good story for volumes yet, but I’m open to ideas.
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Are V8 isolates the future of computing?
Is the appeal of isolates in this case the cold start time or the isolation? We're working on some open source infrastructure for running sandboxed (gVisor) containers on the fly from web services[1], and one of the use cases people have is serving Jupyter notebooks which seems like it might resemble your use case?
[1] https://github.com/drifting-in-space/spawner/
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Fly Machines: An API for Fast-Booting VMs
yes! a fellow HN user e-mailed me about his project "Spawner"
https://github.com/drifting-in-space/spawner
check out the demo: https://www.youtube.com/watch?v=aGsxxcQRKa4
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Ask HN: Who is hiring? (May 2022)
Drifting in Space | Full-time | NYC | https://driftingin.space
We make Jamsocket (https://jamsocket.com/), which allows application developers to spin up and connect to server-side compute. This allows browser-based applications to do computationally-intensive things that are otherwise impossible in the browser.
We went through YC and just raised a seed round and are looking to build up our team. We are based in NYC but are open to remote for experience candidates.
Our tech stack includes Rust, NATS, Docker, Postgres, TypeScript. We have lots of fun technical problems that get into the nitty-gritty of networking and operating systems. We are excited to build a diverse team and encourage non-traditional candidates to apply.
Email [email protected] or see more details here: https://www.ycombinator.com/companies/drifting-in-space/jobs...
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Launch HN: Drifting in Space (YC W22) – A server process for every user
Hi HN, we’re Paul and Taylor, and we’re launching Drifting in Space (https://driftingin.space). We build server software for performance-intensive browser-based applications. We make it easy to give every user of your app a dedicated server-side process, which starts when they open your application and stops when they close the tab.
Many high-end web apps give every user a dedicated connection to a server-side process. That is how they get the low latency that you need for ambitious products like full-fledged video editing tools and IDEs. This is hard for smaller teams to recreate, though, because it takes a significant ongoing engineering investment. That’s where we come in—we make this architecture available to everyone, so you can focus on your app instead of its infrastructure. You can think of it like Heroku, except that each of your users gets their own server instance.
I realized that something like this was needed while working on data-intensive tools at a hedge fund. I noticed that almost all new application software, whether it was built in-house or third-party SaaS, was delivered as a browser application rather than native. Although browsers are more powerful than ever, I knew from experience that industrial-scale data-heavy apps posed problems, because neither the browser or a traditional stateless server architecture could provide the compute resources needed for low-latency interaction with large datasets. I began talking about this with my friend Taylor, who had encountered similar limitations while working on data analysis and visualization tools at Datadog and Uber. We decided to team up and build a company around solving it.
We have two products, an open source package and a managed platform. Spawner, the open source part, provides an API for web apps to spawn a session-lived process. It manages the process’s lifecycle, exposing it over HTTPS, tracking inbound connections, and shutting it down when it becomes idle (i.e. when the user closes their tab). It’s open source (MIT) and available at https://github.com/drifting-in-space/spawner.
Jamsocket is our managed platform, which uses Spawner internally. It provides the same API, but frees you from having to deal with any cluster or network configuration to ship code. From an app developer’s point of view, using it is similar to using platforms like Netlify or Render. You stay in the web stack and never have to touch Kubernetes.
Here's an example. Imagine you make an application for investigating fraud in a large transaction database. Users want to interactively filter, aggregate, and visualize gigabytes of transactions as a graph. Instead of sending all of the data down to the browser and doing the work there, you would put your code in a container and upload it to our platform. Then, whenever a fraud analyst opens your application, you hit an API we provide to spin up a dedicated backend for that analyst. Your browser code then opens a WebSocket connection directly to that backend, which it uses to stream data as the analyst applies filters or zooms/pans the visualization.
We're different from most managed platforms because we give each user a dedicated process. That said, there are a few other services that do run long-lived processes for each user. Architecturally, we're most similar to Agones. Agones is targeted at games where the client can speak UDP to an arbitrary IP; we target applications that want to connect directly from browsers to a hostname over HTTPS. In the Erlang world, the OTP stack provides similar functionality, but you have to embrace Erlang/Elixir to get the benefits of it; we are entirely language-agnostic. Cloudflare Durable Objects support a form of long-lived processes, but are focused on use cases around program state synchronization rather than arbitrary high-compute/memory use cases.
We have a usage-based billing model, similar to Heroku. We charge you for the compute you use and take a cut. Usage billing scales to zero, so it’s approachable for weekend experiments. We have not solidified a price plan yet, but we’re aiming to provide an instance capable of running VS Code (as an example) for about 10 cents an hour, fractionally metered. High-memory and high-CPU backends will cost more, and heavy users will get volume discounts. Our target customers are desktop-like SaaS apps and internal data tools.
As mentioned, our core API is open source and available at https://github.com/drifting-in-space/spawner. The managed platform is in beta and we’re currently onboarding users from a waitlist, to make sure that we have the server capacity to scale. If you’re interested, you’re welcome to sign up for it here: https://driftingin.space.
Have you built a similar infrastructure for your application? We’re always interested in hearing the approaches people have already taken to this problem and learning what their pain points are.
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?
splitter - React component for building split views like in VS Code
UTM - Virtual machines for iOS and macOS
stateroom - A lightweight framework for building WebSocket-based application backends.
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/
blueboat - All-in-one, multi-tenant serverless JavaScript runtime.
Unicorn Engine - Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)
wizer - The WebAssembly Pre-Initializer
Vagrant - Vagrant is a tool for building and distributing development environments.
ContainerSSH - ContainerSSH: Launch containers on demand
xemu - Original Xbox Emulator for Windows, macOS, and Linux (Active Development)
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
em-dosbox - An Emscripten port of DOSBox