moq
distroless
moq | distroless | |
---|---|---|
16 | 122 | |
1,771 | 17,781 | |
- | 1.4% | |
3.6 | 9.4 | |
8 days ago | 6 days 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.
moq
- vektra/mockery has fully released the "packages" feature! This blog explains what it is and how it works.
- Why elixir over Golang
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Is gomock still maintained and recommended?
``` https://github.com/matryer/moq
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How do you write/generate mocks for testing?
Currently trying out https://github.com/matryer/moq for the first time, and quite positive so far. Haven't pushed it enough yet to give a real opinion.
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gomock giving me a hard time
I like moq much better than gomock. Much simpler and easier to work with.
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how to mock DBs
Just replaced mockery generated mocks with https://github.com/matryer/moq Alot cleaner imo at least for me
- Testify Mocking conundrums
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Can someone please comment on this mock example from Jon Calhoun's post on DDD?
btw, you can avoid making such mocks manually by using https://github.com/matryer/moq, which will generate such mocking code for you
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How do you control behaviour in mocked interface ?
I like the way of matryer/moq a lot. Basically, it generates a func for each of the methods of an interface, therefore the behaviour is clear to everyone without too much abstraction.
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What mocking framework do you prefer?
This one is easy to use, simple, powerful and idiomatic https://github.com/matryer/moq
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?
gomock - GoMock is a mocking framework for the Go programming language.
iron-alpine - Hardened alpine linux baseimage for Docker.
mockery - A mock code autogenerator for Go
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
jib - 🏗 Build container images for your Java applications.
NSubstitute - A friendly substitute for .NET mocking libraries.
podman - Podman: A tool for managing OCI containers and pods.
counterfeiter - A tool for generating self-contained, type-safe test doubles in go
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
GORM - The fantastic ORM library for Golang, aims to be developer friendly
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!