amber-docs
distroless
amber-docs | distroless | |
---|---|---|
58 | 122 | |
142 | 17,749 | |
0.7% | 2.4% | |
5.1 | 9.4 | |
9 days ago | 5 days ago | |
HTML | Starlark | |
GNU General Public License v3.0 only | 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.
amber-docs
-
Record Patterns point to Java language designers losing their compass
Record patterns are one step on the path to general pattern matching utility. The bigger building block is general deconstructors. I recommend reading Functional Transformation of Immutable Objects by Brian Goetz. The idea of "withers" shown there requires deconstructors:
- Which Kotlin features do you think Java still needs to steal, if any?
-
JDK 20 G1/Parallel/Serial GC Changes
https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...
This is the vague plan.
-
Deconstruction patterns [Brian Goetz]
You may be joking but...
-
Java Records as Embeddables with Hibernate 6
Here is the much more detailed version: https://github.com/openjdk/amber-docs/blob/master/eg-drafts/reconstruction-records-and-classes.md
-
Where does the dislike/hate for Java come from?
This kind of pattern matching is discussed in the design notes: https://github.com/openjdk/amber-docs/blob/master/site/design-notes/patterns/pattern-match-object-model.md
-
Making Lenses Practical in Java
True, but that only pushes the question of value down the line.
I'm curious about lenses because Java did have a serious problem that required a solution: working with "simple" data correctly was difficult. The chosen solution was ADTs, so we did buy into that. But the approach being explored for transforming records (https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...) only works one level at a time rather than for an entire path. So I wonder how valuable it would be to have a solution for paths. If the answer is that it's mostly valuable for an approach we haven't bought into yet, then we might not need to consider it just yet.
-
How I got involved in the Rust community
Just a heads up, something like that spread operator is actually coming sooner or later to java: https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...
Pattern matching (for records) is already a preview feature.
- Should you still be using Lombok?
- Cascade operator in Java
distroless
-
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
-
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
-
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.
-
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"]
-
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
-
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
-
Why elixir over Golang
Deployment: https://github.com/GoogleContainerTools/distroless
-
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?
adoptium.net - Development of the website has moved to https://github.com/adoptium/website-v2
iron-alpine - Hardened alpine linux baseimage for Docker.
jmolecules - Libraries to help developers express architectural abstractions in Java code
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
record-builder - Record builder generator for Java records
jib - 🏗 Build container images for your Java applications.
prettier-java - Prettier Java Plugin
podman - Podman: A tool for managing OCI containers and pods.
FizzBuzz Enterprise Edition - FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
vim-fibo-indent - Fibonacci Indentation for Vim.
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!