jib
Bazel
Our great sponsors
jib | Bazel | |
---|---|---|
46 | 135 | |
13,321 | 22,175 | |
0.9% | 1.0% | |
8.0 | 10.0 | |
6 days ago | 6 days ago | |
Java | Java | |
Apache License 2.0 | 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.
jib
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Nix is a better Docker image builder than Docker's image builder
Having the author do this for a service written in Go is a mistake. Your first address for containerizing Go services should be ko: https://ko.build/ , and similar solutions like Jib in the Java ecosystem: https://github.com/GoogleContainerTools/jib . No need to require everyone to install something heavy like Nix, no need for privileged containers in CI to connect to a Docker daemon so that actual commands can be executed to determine filesystem contents, just the absolute bare minimum of a manifest defining a base layer + the compiled artifacts copied into the tarball at the correct positions. More languages should support this kind of model - when you see that pnpm's recipe (https://pnpm.io/docker), ultimately, is to pick a pre-existing node base image, then copy artifacts in and set some manifest settings, there's really no technical reason why something like "pnpm build-container-image", without a dependency on a Docker daemon, hasn't been implemented yet.
Using nix, or Dockerfile, or similar systems are, today, fundamentally additional complications to support building containerized systems that are not pure Go or pure Java etc. So we should stop recommending them as the default.
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Deploy Secure Spring Boot Microservices on Amazon EKS Using Terraform and Kubernetes
You need to build Docker images for each app. This is specific to the JHipster application used in this tutorial which uses Jib to build the images. Make sure you are logged into Docker using docker login. Navigate to each app folder (store, invoice, product) and run the following command:
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Tool to build Docker images
JIB
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Thin (ish) Clojure jars for better docker containers
It is pretty easy to do with https://github.com/GoogleContainerTools/jib.
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Fearless Distroless
I first learned about Distroless because it was the default option in Google's Jib. Jib is a Maven plugin to create Docker containers without dependency on Docker. Note that the default has changed now.
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Spring Boot pod takes 60 seconds to become ready; trouble handling spiky workloads
Optimize your Dockerfile by using a small base Java Image, use either Spring Boot's layers tools or Google Jib to build your docker file, and increase CPU/Memory requests and limits if you can.
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CI/CD with Spring Boot and Jenkins Pipelines
In this section, we will setup the automated generation and deployment of a Docker container image. You will need a Docker Hub account and the Jib Gradle Plugin.
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How to Deploy JHipster Microservices on Amazon EKS Using Terraform and Kubernetes
You need to build Docker images for each app. This is specific to the JHipster application used in this tutorial which uses Jib to build the images. Make sure you are logged into Docker using docker login. Navigate to each app folder (store, invoice, product) and run the following command:
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Cloud Native Java Microservices with JHipster and Istio
We are ready to deploy now. First, we need to build and push the images to the registry. We can use the handy Jib commands provided by JHipster. Navigate to each of the microservice folders and run the commands below.
Bazel
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Things I learned while building projects with NX
Bazel by Google
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Show HN: Flox 1.0 – Open-source dev env as code with Nix
Luckily a feature to limit the disk cache size is in development: https://github.com/bazelbuild/bazel/issues/5139
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How to write unit tests in C++ relying on non-code files?
This is a problem that Bazel (https://bazel.build) solves in a very convenient way. You can just keep using the paths relative to the repository root, and as long as you properly declare your test needs that file it will access it without problems. Or you can use the runfile libraries to access them too.
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blade-build VS Bazel - a user suggested alternative
2 projects | 28 Jan 2024
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My first Software Release using GitHub Release
When doing research for this lab exercise I looked at both vcpkg and conan. Both are package managers that would automate the installation and configuration of my program with its dependencies. However, when it came to releasing and sharing my program my options were limited. For example, the central public registry for conan packages is conan-center, but these packages are curated and the process is very involved. There was no way conan-center would accept a class project like mine. Alternatively, I could host a conan package on a public Artifactory repository, but accessing the package requires users to add the repository to their conan remote. This already sounded like too many steps to expect regular users to follow - I already haven't setup any conan remotes, there's no way I could expect regular users to know about conan remotes, let alone have conan installed on their system. After discussing with people online and consulting my instructor, I ultimately decided to do a GitHub release. However, in the future I was encouraged to look into using CMake or bazel.
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Declarative Gradle is a cool thing I am afraid of: Maven strikes back
NOTE: I won’t mention SBT and Leiningen here because, with all due respect, they are niche build tools. I also won’t discuss Kobalt for the same reason (besides, it’s no longer actively maintained). Additionally, I won’t touch upon Bazel and Buck in this context, mainly because I’m not very familiar with them. If you have insights or comments about these tools, please feel free to share them in the comments 👇
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A Modern C Development Environment
> None of this solves C's only REAL problem (in my opinion) which is the lack of dependency management.
Bazel solves this really nicely, I know some people have strong opinions on it but I cannot recommend it enough
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Monorepo + Microservices + Dependency Managment + Build system HELL
Does pants/bazel can help me?
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Go Dependency management in large company projects - How do you do it?
I know that some projects like cockroach use custom build tools like bazel. But we actually really like to use to be able to build our projects simply with the great go toolchain and don't really aim to dive deep into custom build solutions.
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What was used to build C++ programs before Cmake?
Bazel is a Google project that showcases first-class support for the major languages Google uses (C++, Java, Go), and it'd probably have replaced CMake if it weren't written in Java, which brought a host of technical challenges. Then those challenges were fixed and Oracle threatened to bring legal challenges instead.
What are some alternatives?
Buck - A fast build system that encourages the creation of small, reusable modules over a variety of platforms and languages.
kaniko - Build Container Images In Kubernetes
nx - Smart Monorepos · Fast CI
meson - The Meson Build System
Gradle - Adaptable, fast automation for all
jkube - Build and Deploy java applications on Kubernetes
ninja - a small build system with a focus on speed
turborepo - Incremental bundler and build system optimized for JavaScript and TypeScript, written in Rust – including Turborepo and Turbopack. [Moved to: https://github.com/vercel/turbo]
Apache Maven - Apache Maven core
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
pants - The Pants Build System
buildkit - concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit