warg
distroless
warg | distroless | |
---|---|---|
7 | 122 | |
13 | 17,781 | |
- | 1.4% | |
7.3 | 9.4 | |
8 days ago | 1 day ago | |
Go | Starlark | |
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.
warg
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An Efficient Struct Configuration Pattern For Golang
Funcopts aren't always appropriate, but boy do they make things more readable sometimes. I use them pervasively in warg to allow declarative nested CLI commands
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Which packages do you recommend for building cli tools?
I wrote my own! https://github.com/bbkane/warg/
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Major standard library changes in Go 1.20
Very useful! I'll be playing with the error tree additions and studying the HTTP interface extension to see if I can replicate the pattern for https://github.com/bbkane/warg values. Id like to be able to have value-specific output for different types of --help , even ones not in warg
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Have you used generics?
I'm using to allow for custom flag types in my CLI parsing library- a lot less duplicate code
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Go: Functional Options Are Slow
One thing that I find nicer with functional options is building tree-like data structures.
My command line parsing library uses them to declaratively build CLI apps with arbitrarily nested subcommands.
Some examples at https://github.com/bbkane/warg/tree/master/examples
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How are YOU using generics so far?
I'm writing a CLI parsing library, and generics have let me consolidate most of the flag value functionality for different types. So the flags for dbz --level 9000 --type superSaiyan share most of the same code even though one is an int and one is a string. So much fewer copy-paste-modify lines of code now!
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Unix command line conventions over time
This is largely what the Azure CLI does. It simplifies even further by eliminating the no-value option. Instead, you pass "true" or "false" as the value ( --example true ). It's a little more verbose but very easy to parse/write/generate. I like this convention so much I stole it for my homemade Golang CLI parsing library https://github.com/bbkane/warg/ .
distroless
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Chainguard Images now available on Docker Hub
lots of questions here regarding what this product is. I guess i can provide some information for the context, from a perspective of an outside contributor.
Chainguard Images is a set of hardened container images.
They were built by the original team that brought you Google's Distroless (https://github.com/GoogleContainerTools/distroless)
However, there were few problems with Distroless:
1. distroless were based on Debian - which in turn, limited to Debian's release cadence for fixing CVE.
2. distroless is using bazelbuild, which is not exactly easy to contrib, customize, etc...
3. distroless images are hard to extend.
Chainguard built a new "undistro" OS for container workload, named Wolfi, using their OSS projects like melange (for packaging pkgs) and apko (for building images).
The idea is (from my understanding) is that
1. You don't have to rely on upstream to cut a release. Chainguard will be doing that, with lots of automation & guardrails in placed. This allow them to fix vulnerabilties extremely fast.
- Language focused Docker images, minus the operating system
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Using Alpine can make Python Docker builds 50× slower
> If you have one image based on Ubuntu in your stack, you may as well base them all on Ubuntu, because you only need to download (and store!) the common base image once
This is only true if your infrastructure is static. If your infrastructure is highly elastic, image size has an impact on your time to scale up.
Of course, there are better choices than Alpine to optimize image size. Distroless (https://github.com/GoogleContainerTools/distroless) is a good example.
- Smaller and Safer Clojure Containers: Minimizing the Software Bill of Materials
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Long Term Ownership of an Event-Driven System
The same as our code dependencies, container updates can include security patches and bug fixes and improvements. However, they can also include breaking changes and it is crucial you test them thoroughly before putting them into production. Wherever possible, I recommend using the distroless base image which will drastically reduce both your image size, your risk vector, and therefore your maintenance version going forward.
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Minimizing Nuxt 3 Docker Images
# Use a large Node.js base image to build the application and name it "build" FROM node:18-alpine as build WORKDIR /app # Copy the package.json and package-lock.json files into the working directory before copying the rest of the files # This will cache the dependencies and speed up subsequent builds if the dependencies don't change COPY package*.json /app # You might want to use yarn or pnpm instead RUN npm install COPY . /app RUN npm run build # Instead of using a node:18-alpine image, we are using a distroless image. These are provided by google: https://github.com/GoogleContainerTools/distroless FROM gcr.io/distroless/nodejs:18 as prod WORKDIR /app # Copy the built application from the "build" image into the "prod" image COPY --from=build /app/.output /app/.output # Since this image only contains node.js, we do not need to specify the node command and simply pass the path to the index.mjs file! CMD ["/app/.output/server/index.mjs"]
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Build Your Own Docker with Linux Namespaces, Cgroups, and Chroot
Lots of examples without the entire OS as other comments mention, an example would be Googles distroless[0]
[0]: https://github.com/GoogleContainerTools/distroless
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Reddit temporarily ban subreddit and user advertising rival self-hosted platform (Lemmy)
Docker doesn't do this all the time. Distroless Docker containers are relatively common. https://github.com/GoogleContainerTools/distroless
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Why elixir over Golang
Deployment: https://github.com/GoogleContainerTools/distroless
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Reviews
Or use distroless image as it includes one, among others. https://github.com/GoogleContainerTools/distroless/blob/main/base/README.md
What are some alternatives?
graph - A library for creating generic graph data structures and modifying, analyzing, and visualizing them.
iron-alpine - Hardened alpine linux baseimage for Docker.
cli-guidelines - A guide to help you write better command-line programs, taking traditional UNIX principles and updating them for the modern day.
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
workgroup - Structured concurrency manager for Go
jib - 🏗 Build container images for your Java applications.
golang-generics-dao-example - Example using Generics with DAO
podman - Podman: A tool for managing OCI containers and pods.
scan - Scan provides the ability to to scan sql rows directly to any defined structure.
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
RCIG_Coordination_Repo - A Coordination repo for all things Rust Cryptography oriented
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!