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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.
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
- Dive: A tool for exploring a Docker image's layer contents
distribution-spec
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The transitory nature of MLOps: Advocating for DevOps/MLOps coalescence
Back in 2013, a little company called Docker made it really easy to start using containers to package up applications. A big key to their success was the OCI (you can learn about that here), an industry wide initiative to have standards around how we package up our applications. Because of OCI standards, we have hundreds (maybe thousands?) of tools that can be combined to manage and deploy applications. So why aren’t we using this for packaging up Notebooks and AI models as well? It would make deploying, sharing, and managing our models easier for everyone involved.
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The Road To Kubernetes: How Older Technologies Add Up
Kubernetes on the backend used to utilize docker for much of its container runtime solutions. One of the modular features of Kubernetes is the ability to utilize a Container Runtime Interface or CRI. The problem was that Docker didn't really meet the spec properly and they had to maintain a shim to translate properly. Instead users could utilize the popular containerd or cri-o runtimes. These follow the Open Container Initiative or OCI's guidelines on container formats.
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Coexistence of containers and Helm charts - OCI based registries
OCI stands for Open Container Initiative, and its goal as an organization is to define a specification for container formats and runtime.
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Bazzite – a Steam0S-like OCI image for desktop, living room, and handheld PCs
https://opencontainers.org/
Here is Containerfile from the repo: https://github.com/ublue-os/bazzite/blob/main/Containerfile
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Distroless images using melange and apko
apko allows us to build OCI container images from .apk packages.
- OCI image from dockerfile
- Fat OCI images are a cultural problem
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Progressive Delivery on AKS: A Step-by-Step Guide using Flagger with Istio and FluxCD
Flagger's load testing service can be installed via a Kustomization resource based on manifests packaged as an artifact in an Open Container Initiative (OCI) registry
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Creating Kubernetes Cluster With CRI-O
CRI-O is a lightweight container runtime for Kubernetes. It is an implementation of Kubernetes CRI to use Open Container Initiative (OCI) compatible runtimes for running pods. It supports runc and Kata Containers as the container runtimes, but any OCI-compatible runtime can be integrated.
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What is the current status of Docker and how far is it from getting ported?
So somebody else created runj (runj is an experimental, proof-of-concept OCI-compatible runtime for FreeBSD jails.) https://github.com/samuelkarp/runj
What are some alternatives?
skopeo - Work with remote images registries - retrieving information, images, signing content
jib - 🏗 Build container images for your Java applications.
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)
spin - Spin is the open source developer tool for building and running serverless applications powered by WebAssembly.
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
proxmox-lxc-idmapper - Proxmox unprivileged container/host uid/gid mapping syntax tool.
lnav - Log file navigator
appleprivacyletter - An open letter against Apple's new privacy-invasive client-side content scanning.
Whaler - Program to reverse Docker images into Dockerfiles
bartholomew - The Micro-CMS for WebAssembly and Spin
distroless - 🥑 Language focused docker images, minus the operating system.
runc - CLI tool for spawning and running containers according to the OCI specification