dive
Lean and Mean Docker containers
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dive | Lean and Mean Docker containers | |
---|---|---|
90 | 38 | |
43,408 | 18,136 | |
- | 1.2% | |
7.0 | 9.1 | |
11 days ago | 4 days ago | |
Go | Go | |
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.
dive
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I reduced the size of my Docker image by 40% β 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
- FLaNK Stack Weekly for 12 September 2023
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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.
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Any Way To See The Dockerfile Used To Make An Image On Dockerhub?
If youβre happy to pull the image, then sort of yes. You can either use docker inspect or a tool like dive (https://github.com/wagoodman/dive) to see how each layer was created. This will give you an idea of the Dockerfile.
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Issues reducing Docker image size when using Gdal and Pycurl with a multistage build?
Also, check out dive. It is an amazing tool for examining containers and find your size issues.
Did you try using dive ? It allows you to see each layer, so you can see the files that are added
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Tips for reducing Docker image size
I like this tool: https://github.com/wagoodman/dive
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Nix Service - Using the shipyard private crate registry with Docker
Also do I get shiny flair for https://github.com/wagoodman/dive/pull/443? Perhaps "Void shouter"?
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Docker image size problems. This is driving me insane.
This tool is really useful for showing the size of each layer, making it obvious which layer is blowing up your image size: https://github.com/wagoodman/dive
Lean and Mean Docker containers
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An Overview of Kubernetes Security Projects at KubeCon Europe 2023
Slim.ai presents the data in a more user friendly way than many of the other tools in this post. On top of its open source SlimToolkit for identifying the contents of an image, Slim.ai uses Trivy for vulnerability scanning.
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Tips for reducing Docker image size
What about https://github.com/slimtoolkit/slim?
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Standard container sizes
Anyone tried using https://github.com/docker-slim/docker-slim To minify an image?..
- A practical approach to structuring Golang applications
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M1: Docker doesn't find shared x64 shared objects even though platform was specified
Distroless images are better left for people with serious need for lightweight images and good Linux knowledge because they require lot of planning with the build so that they stay light and work. If you need lighter images but docker isn't your main tool and you can't afford to take hours and hours of practicing different build strategies you can check docker-slim (https://dockersl.im/). With this tool you can easily size down the images.
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I deleted 78% of my Redis container and it still works
Maybe this would help in that regard: https://github.com/docker-slim/docker-slim
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Are there tools that tell you if you can optimize your dockerfiles?
I have heard of slim.ai, there core tool is open source https://github.com/docker-slim/docker-slim
- We're optimizing our Docker image and we're pretty happy with how it's going: 3.37GB > 1.13GB. Next stop, a single Docker image Budibase deployment π
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Ask HN: Who is hiring? (April 2022)
* We have a lightweight engineering process based on trust, self-alignment and visibility.
Email me at [email protected] if you'd like to learn more.
P.S.
Take a look at DockerSlim ( https://github.com/docker-slim/docker-slim ) if you are interested in working on the open source project that powers our SaaS.
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Down With the Sickness
In last weeks blog I talked about what my plan was for release 2.9. My main areas of concern was finishing the migration to make use of the images stored in our Docker registry. The other area I was planning on taking on was to slim down those images in the registry by using Docker-Slim.
What are some alternatives?
minideb - A small image based on Debian designed for use in containers
skopeo - Work with remote images registries - retrieving information, images, signing content
Go random string generator - Flexible and customizable random string generator
pipx - Install and Run Python Applications in Isolated Environments
gophish - Open-Source Phishing Toolkit
simple-scrypt - A convenience library for generating, comparing and inspecting password hashes using the scrypt KDF in Go π
memguard - Secure software enclave for storage of sensitive information in memory.
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit
passlib - :key: Idiotproof golang password validation library inspired by Python's passlib
MeTube - Self-hosted YouTube downloader (web UI for youtube-dl / yt-dlp)
lnav - Log file navigator
lego - Let's Encrypt/ACME client and library written in Go