recipes
distroless
recipes | distroless | |
---|---|---|
17 | 122 | |
2,868 | 17,749 | |
1.2% | 1.2% | |
9.7 | 9.4 | |
8 days ago | 9 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.
recipes
- Fiber – Express inspired web framework written in Go
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go-mir - a toolkit to develop RESTful API backend service like develop service of gRPC
Mir is a toolkit to develop RESTful API backend service like develop service of gRPC. It adapt some HTTP framework sush as Gin, Chi, Hertz, Echo, Iris, Fiber, Macaron, Mux, httprouter。
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Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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I know JavaScript and looking for Go learning resource
With lovely recipes: https://github.com/gofiber/recipes
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The best Go framework: no framework? (Three Dots Tech)
If I started working at a Go shop that used a framework, I would hope it would be Fiber. Not for any particular solid reasons, though. Rather just personal preference based on how the developer experience feels to me personally.
- Criando uma API Rest com Fiber - Uma história pessoal de aprendizado
- Construindo uma API organizadinha em Golang usando Fiber
- Lightweight opensource Go-based spa-to-http tool "beats" Nginx in SPA serving performance
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Ask HN: What GO web framework do you use?
I use Fiber [0] in production for a $4M ARR company and never had any issues.
Took less than a month to start with and integrate and it is a joy to use.
[0] https://github.com/gofiber/fiber
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Framework or advices for API
Fiber is quite light weight and performant, its beginner friendly as well. The complexity of your app has to live somewhere. You are going to need a router at least, any framework that is lightweight and has sensible defaults is always worth considering over doing everything on your own. There are plenty of useful examples
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?
go-clean-arch - Go (Golang) Clean Architecture based on Reading Uncle Bob's Clean Architecture
iron-alpine - Hardened alpine linux baseimage for Docker.
fiber-go-template - 📝 Production-ready backend template with Fiber Go Web Framework for Create Go App CLI.
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
oapi-codegen - Generate Go client and server boilerplate from OpenAPI 3 specifications
jib - 🏗 Build container images for your Java applications.
imgui-go-examples - Examples of Dear ImGui for Go
podman - Podman: A tool for managing OCI containers and pods.
fiber-versioning-boilerplate - A boilerplate for fiber versioning, Clean Architecture, API versioning, API documentation, Data versioning
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
tutorial-go-fiber-rest-api - 📖 Build a RESTful API on Go: Fiber, PostgreSQL, JWT and Swagger docs in isolated Docker containers.
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!