stargz-snapshotter
dive
stargz-snapshotter | dive | |
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10 | 91 | |
1,048 | 43,709 | |
1.7% | - | |
8.4 | 6.6 | |
4 days ago | 4 days ago | |
Go | Go | |
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
dive
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Show HN: Docker-phobia: Analyze Docker image size with a treemap
Cool, gonna try this soon. Would be great to use in combination with Dive (https://github.com/wagoodman/dive)
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Mastering Docker Image Optimization: 6 Key Strategies for building Lighter, Faster, and Safer images
Dive is an open-source tool that allows you to explore the various layers of a Docker image. It shows you the content of each layer and helps you identify voluminous or unnecessary parts.
- Optimisation des images Docker: 6 Stratégies clés pour des images plus légeres et plus performantes
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I reduced the size of my Docker image by 40% – Dockerizing shell scripts
Dive is a great tool for debugging this. I like image reduction work just because it gives me a chance to play with Dive: https://github.com/wagoodman/dive
One easy low hanging fruit I see a LOT for ballooning image sizes is people including the kitchen sink SDK/CLI for their cloud provider (like AWS or GCP), when they really only need 1/100 of that. The full versions of both of these tools are several hundred mb each
- Dive: A tool for exploring a Docker image, layer contents and more
- Dive – A tool for exploring each layer in a Docker image
- FLaNK Stack Weekly for 12 September 2023
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Dive Into Docker part 4: Inspecting Docker Image
This post is going to be shorter. I'd like to highlight a tool that I really enjoy working with called "Dive" It is an essential tool when working to build and optimize docker containers.
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Top 10 CLI Tools for DevOps Teams
Whether you work with Docker regularly or even create your own Docker containers, Dive is a great tool for streamlining image sizes, potentially helping you save storage costs and speed up deployments.
- Dive – exploring a Docker image, layer contents, and shrinking a image size
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
skopeo - Work with remote images registries - retrieving information, images, signing content
acr - Azure Container Registry samples, troubleshooting tips and references
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
containerd - An open and reliable container runtime
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
soci-snapshotter - A containerd snapshotter plugin which enables standard OCI images to be lazily loaded without requiring a build-time conversion step.
lnav - Log file navigator
snoop - Snoop — инструмент разведки на основе открытых данных (OSINT world)
Whaler - Program to reverse Docker images into Dockerfiles
uChmViewer - A fork of Kchmviewer, the best software for viewing .chm (MS HTML help) and .epub eBooks.
distroless - 🥑 Language focused docker images, minus the operating system.