spawner
wizer
spawner | wizer | |
---|---|---|
6 | 10 | |
451 | 879 | |
- | 1.6% | |
9.0 | 7.1 | |
over 1 year ago | 17 days ago | |
Rust | Rust | |
MIT License | Apache License 2.0 |
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.
wizer
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RustPython
> once by the wasm runtime to compile the rust-python wasm
I'm not sure what you mean by that. The runtime doesn't compile WASM, it simply executes it.
There are tools for dealing with interpreter runtime overhead this by pre-initalizing the environment like Wizer[0]. ComponentizeJS[1] uses it to pre-initialize the Spidermoney engine it packages to gain fast startup times (and you can then prune the initialization only code with wasm-opt). As techniques like ComponentizeJS are also being applied for a specific set of interpreted files, you can even prune parts of the interpreter that would never be used for that specific program. If you want to go even further you could record specific execution profiles and optimize further by those.
[0]: https://github.com/bytecodealliance/wizer
[1]: https://github.com/bytecodealliance/ComponentizeJS
- Are V8 isolates the future of computing?
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Netlify Edge Functions: A new serverless runtime powered by Deno
Edge functions are typically run intermittently, with their runtime stopped to free up resources between runs. Therefore a big factor is startup and shutdown speed. Containers are pretty bad there. Deno is better, and WASM is unbeatable, especially with things like Wizer[0].
[0]https://github.com/bytecodealliance/wizer
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Building a WebAssembly-powered serverless platform
I imagine startup cost could be amortized by something like wizer: https://github.com/bytecodealliance/wizer
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Containerless! How to Run WebAssembly Workloads on Kubernetes with Rust
There are security benefits to running each request in its own instance, as it helps prevent accidental leaking of state between requests. To avoid doing lots of expensive initializations, we have a tool called wizer which lets users run their program's initialization once, create a snapshot, and then use that snapshot to do fast startups that don't rerun the whole initialization each time.
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Is it possible in Rust to save the complete state of a program and restore it later? Such as may be accomplished in some implementations of Common Lisp
See https://github.com/bytecodealliance/wizer for an implementation of this approach.
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Bytecode Alliance
It should probably be named "Making JavaScript to startup fast on WebAssembly", since the runtime speed is not really improved by the approach they exposed.
Besides that I think Wizer [1] is both an elegant and a simple solution to speed up startup speed with Wasm.
[1] - https://github.com/bytecodealliance/wizer#using-wizer-as-a-l...
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A JavaScript optimizing compiler
A similar project, for WebAssembly so with limited scope is this: https://github.com/bytecodealliance/wizer. And somehow similar but limited on LLVM IR a colleague worked on this for Cheerp (the compiler used here as backend): https://github.com/leaningtech/cheerp-meta/wiki/Cheerp-PreExecuter.
- Wizer: snapshot an initialized Wasm instance and save the result as a new, pre-initialized Wasm module. Up to 6x faster start up on my test workloads
- Wiser: snapshot an initialized Wasm instance and save the result as a new, pre-initialized Wasm module. Up to 6x faster start up on my test workloads
What are some alternatives?
splitter - React component for building split views like in VS Code
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
stateroom - A lightweight framework for building WebSocket-based application backends.
TablaM - The practical relational programing language for data-oriented applications
blueboat - All-in-one, multi-tenant serverless JavaScript runtime.
wasmtime - A fast and secure runtime for WebAssembly
ContainerSSH - ContainerSSH: Launch containers on demand
go - The Go programming language
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
go-wasm-bake - Experimenting with eager evaluation of Go WASM code
QEMU - Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.
wagi - Write HTTP handlers in WebAssembly with a minimal amount of work