stargz-snapshotter
deno
stargz-snapshotter | deno | |
---|---|---|
10 | 448 | |
1,048 | 92,975 | |
1.7% | 0.3% | |
8.4 | 9.9 | |
4 days ago | 4 days ago | |
Go | Rust | |
Apache License 2.0 | MIT License |
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.
stargz-snapshotter
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Tree-shaking, the horticulturally misguided algorithm
A lazy chunked delivery strategy like used in the k8s stargz-snapshotter[0] project could be effective here, where it only pulls chunks as needed, but it would probably require wasm platform changes.
[0] https://github.com/containerd/stargz-snapshotter
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Show HN: depot.ai – easily embed ML / AI models in your Dockerfile
To optimize build speed, cache hits, and registry storage, we're building each image reproducibly and indexing the contents with eStargz[0]. The image is stored on Cloudflare R2, and served via a Cloudflare Worker. Everything is open source[1]!
Compared to alternatives like `git lfs clone` or downloading your model at runtime, embedding it with `COPY` produces layers that are cache-stable, with identical hash digests across rebuilds. This means they can be fully cached, even if your base image or source code changes.
And for Docker builders that enable eStargz, copying single files from the image will download only the requested files. eStargz can be enabled in a variety of image builders[2], and we’ve enabled it by default on Depot[3].
Here’s an announcement post with more details: https://depot.dev/blog/depot-ai.
We’d love to hear any feedback you may have!
[0] https://github.com/containerd/stargz-snapshotter/blob/main/docs/estargz.md
[1] https://github.com/depot/depot.ai
[2] https://github.com/containerd/stargz-snapshotter/blob/main/docs/integration.md#image-builders
[3] https://depot.dev
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A Hidden Gem: Two Ways to Improve AWS Fargate Container Launch Times
Seekable OCI (SOCI) is a technology open-sourced by AWS that enables containers to launch faster by lazily loading the container image. It’s usually not possible to fetch individual files from gzipped tar files. With SOCI, AWS borrowed some of the design principles from stargz-snapshotter, but took a different approach. A SOCI index is generated separately from the container image and is stored in the registry as an OCI Artifact and linked back to the container image by OCI Reference Types. This means that the container images do not need to be converted, image digests do not change, and image signatures remain valid.
- containerd/stargz-snapshotter: Fast container image distribution plugin with lazy pulling
- EStargz: Lazy pull container images for faster cold starts
- How to optimize the security, size and build speed of Docker images
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Speeding up LXC container pull by up to 3x
This is interesting and seems general purpose. Not merely for container images.
There’s this option for OCI containers which I don’t pretend to understand: https://github.com/containerd/stargz-snapshotter
It is used by containerd and nerdctl. You do have to build the image with it. Images work in OCI compatible registry. By fetching most used files first container can be started before loading is finished. Or so I gather.
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Optimizing Docker image size and why it matters
stargz is a gamechanger for startup time. You might not need to care about image size at all
kubernetes and podmand support it, and docker support is likely coming. It lazy loads the filesystem on start-up, making network requests for things that are needed and therefore can often start up large images very fast.
https://github.com/containerd/stargz-snapshotter
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FOSS News International #2: November 8-145, 2021
containerd/stargz-snapshotter: Fast container image distribution plugin with lazy pulling (github.com)
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Introducing GKE image streaming for fast application startup and autoscaling
Yes, see https://github.com/containerd/stargz-snapshotter
deno
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Bun - The One Tool for All Your JavaScript/Typescript Project's Needs?
NodeJS is the dominant Javascript server runtime environment for Javascript and Typescript (sort of) projects. But over the years, we have seen several attempts to build alternative runtime environments such as Deno and Bun, today’s subject, among others.
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Bun 1.1
https://github.com/denoland/deno/issues is the ideal place -- we try to triage all incoming issues, the more specific the repro the easier it is to address but we will take a look at everything that comes in.
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I have created a small anti-depression script
Install Node.js (or Bun, or Deno, or whatever JS runtime you prefer) if it's not there
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How QUIC is displacing TCP for speed
QUIC is very exciting, after seeing what it can do for performance in Cloudflare network and Cloudflare workers, I can't wait to finally see it in Deno[0] 1.41.
[0] https://github.com/denoland/deno/pull/21942#issuecomment-192...
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Unison Cloud
So as an end user it's kind of like https://deno.com/ where you buy into a runtime + comes prepacked with DBs (k/v stores), scheduling, and deploy stuff?
> by storing Unison code in a database, keyed by the hash of that code, we gain a perfect incremental compilation cache which is shared among all developers of a project. This is an absolutely WILD feature, but it's fantastic and hard to go back once you've experienced it. I am basically never waiting around for my code to compile - once code has been parsed and typechecked once, by anyone, it's not touched again until it's changed.
Interesting. Whats it like upgrading and managing dependencies in that code? I'd assume it gets more complex when it's not just the Union system but 3rd party plugins (stuff interacting with the OS or other libs).
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Deno in 2023
~90MB+ at this stage and do now allow compression without erroring out. Deploying ala Golang is not feasible at that level but could well be down the line if this dev branch is picked up again!
The exe output grew from from ~50MB to plus ~90MB from 2021 to 2024: https://github.com/denoland/deno/discussions/9811 which mean Deno is worse than Node.js's pkg solution by a decent margin.
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Mini site for recommending songs using Svelte & Deno
Behind the scenes is a simple Sveltekit-powered server function to fetch a Spotify client token then find a user's recommendation playlist and its track information. A Deno edge function to performs this data fetch and renders server-side Svelte.
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Supercharge your app with user extensions using Deno JavaScript runtime
If your application is written in JavaScript, integrating it with JavaScript extensions is a no-brainer. However, Secutils.dev is entirely written in Rust. How would I even begin? Fortunately, I recently came across an excellent blog post series explaining how to implement your JavaScript runtime in a Rust application with Deno:
- Deno, the next-generation JavaScript runtime
- Oxlint – written in Rust – 50-100 Times Faster than ESLint
What are some alternatives?
kube-fledged - A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
ASP.NET Core - ASP.NET Core is a cross-platform .NET framework for building modern cloud-based web applications on Windows, Mac, or Linux.
acr - Azure Container Registry samples, troubleshooting tips and references
typescript-language-server - TypeScript & JavaScript Language Server
containerd - An open and reliable container runtime
pnpm - Fast, disk space efficient package manager
soci-snapshotter - A containerd snapshotter plugin which enables standard OCI images to be lazily loaded without requiring a build-time conversion step.
esbuild - An extremely fast bundler for the web
snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
uChmViewer - A fork of Kchmviewer, the best software for viewing .chm (MS HTML help) and .epub eBooks.
Koa - Expressive middleware for node.js using ES2017 async functions