Jenkins VS Git

Jenkins is a highly extensible Java-based CI/CD automation server. It is open-source and self-hosted and enables you to automate, build, and deploy your software. The tool seamlessly integrates with various version control systems, cloud providers, and third-party applications, making it a versatile choice for modern development environments.

For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository.

Familiarize yourself with tools like Jenkins, Travis CI, GitLab CI, and others that facilitate these practices.

Jenkins: An open-source automation server that can be used to set up CI/CD pipelines.

Jenkins is an open-source automation tool that allows developers to build, test and deploy software.

Choosing the right CI/CD platform and mastering YAML configuration are critical steps in optimizing your software development process. First, choose a CI/CD platform from popular options such as Jenkins, Travis CI, CircleCI, GitLab CI/CD, or GitHub Actions that meets the needs of your project and integrates seamlessly with your development stack.

Jenkins is a Java based CI/CD system that can be self hosted. In order to initiate builds, Jenkins utilizes a component called an agent to execute build commands. These agents can be a constantly running service or part of an on demand service such as a cloud provider or Docker containers. Kubernetes is one such solution to deploying build agents on demand. This article will look at how to setup Kubernetes as a provider for Jenkins build agents.

In this article, we briefly discussed some popular CI/CD platforms for React Native and why they are crucial in the programming world. We also included some honorable mentions, Jenkins CI and Bitrise, in our comparison table. It is important to remember that every project is different, and therefore it is important to evaluate each tool’s advantages and disadvantages.

Originally, I was using Jenkins (Yes, the CI pipeline java app) for this, but it was clear that is not its purpose, and it was fairly clunky. The only real upside was direct git support, but I don't mind incorporating git pulls into my jobs themselves.

Look at any PR/patch series that got merged into the Git project. https://github.com/git/git/

Any random one. Because those that did not meet the minimum criteria for a well-crafted history would not have passed review.

Boy, I can't find this either (but also, the kernel mailing list is _really_ difficult to search). I really remember Linus saying something like "it's not a real SCM, but maybe someone could build one on top of it someday" or something like that, but I cannot figure out how to find that.

You _can_ see, though, that in his first README, he refers to what he's building as not a "real SCM":

https://github.com/git/git/commit/e83c5163316f89bfbde7d9ab23...

Here is the direct link, as HN somehow removes the query string: https://github.com/git/git/commits?author=peff&since=2023-10...

I understand all that.

I'm saying, if you write a survey and one of the possible answers is "diff", but you don't clearly define what you mean by "diff", then don't be surprised if respondents use any reasonable definition that makes sense to them. Ask an ambiguous question, get a mishmash of answers.

The thing that Git uses for packfiles is called a "delta" by Git, but it's also reasonable to call it a "diff". After all, Git's delta algorithm is "greatly inspired by parts of LibXDiff from Davide Libenzi"[1]. Not LibXDelta but LibXDiff.

Yes, how Git stores blobs (using deltas) is orthogonal to how Git uses blobs. But while that orthogonality is useful for reasoning about Git, it's not wrong to think of a commit as the totality of what Git does, including that optimization. (Some people, when learning Git, stumble over the way it's described as storing full copies, think it's wasteful. For them to wrap their heads around Git, they have to understand that the optimization exists. Which makes sense because Git probably wouldn't be practical if it lacked that optimization.)

The reason I'm bringing all this up is, if you're trying to explain Git, which is what the original article is about, then it's very important to keep in mind that someone who is learning Git needs to know what you mean when you say "diff". Most people who already know Git would tend to gravitate toward the definition of "diff" that you're assuming (the thing that Git computes on the fly and never stores), but people who already know Git aren't the target audience when you're teaching Git.

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[1] https://github.com/git/git/blob/master/diff-delta.c