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Stargz-snapshotter Alternatives
Similar projects and alternatives to stargz-snapshotter
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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dapr
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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)
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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
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wolfssl
The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud. wolfSSL supports up to TLS 1.3!
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soci-snapshotter
A containerd snapshotter plugin which enables standard OCI images to be lazily loaded without requiring a build-time conversion step.
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uChmViewer
A fork of Kchmviewer, the best software for viewing .chm (MS HTML help) and .epub eBooks.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better stargz-snapshotter alternative or higher similarity.
stargz-snapshotter reviews and mentions
Posts with mentions or reviews of stargz-snapshotter.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-13.
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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
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A note from our sponsor - SaaSHub
www.saashub.com | 23 Apr 2024
Stats
Basic stargz-snapshotter repo stats
10
1,040
8.6
5 days ago
containerd/stargz-snapshotter is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of stargz-snapshotter is Go.
Popular Comparisons
- stargz-snapshotter VS kube-fledged
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