gitflow VS kubernetes

1. GitFlow

Pull Requests (or Merge Requests) are merged only when (1) all of the automated tests pass; and (2) enough necessary reviewers have indicated approval.

Git doesn't tell you when it's necessary to have full test coverage and manual infosec review in development cycles that produce releases, and neither do Pull Requests.

https://westurner.github.io/hnlog/#comment-19552164 ctrl-f hubflow

It looks like datasift's gitflow/hubflow docs are 404'ing, but the original nvie blog post [1] has the Git branching workflow diagrams; which the wpsharks/hubflow fork [3] of datasift/gitflow fork [2] of gitflow [1]has a copy of in the README:

[1] https://github.com/nvie/gitflow

[2] https://github.com/datasift/gitflow

[3] https://github.com/wpsharks/hubflow?tab=readme-ov-file

https://learngitbranching.js.org/ is still a great resource, and it could work on mobile devices.

The math of VCS deltas and mutable and immutable content-addressed DAG nodes identified by 2^n bits describing repo/$((2*inf)) bits ;

>> "ugit – Learn Git Internals by Building Git in Python" https://www.leshenko.net/p/ugit/

SLSA.dev is a social construct atop e.g. git, which is really a low-level purpose-built tool and Perl and now Python porcelain.

jj (jujutsu) is a git-compatible VCS CLI: https://github.com/martinvonz/jj

"Ask HN: Best Git workflow for small teams" (2016)

A successful Git branching model - известная модель ветвления от Vincent Driessen.

Before embarking on the project, we needed to decide on our Git workflow. Having experienced the unnecessary indirection and bureaucracy of Gitflow, I immediately proposed and implemented a trunk-based strategy instead.

As a best practice, consider creating a dev branch where you can stage your code and collaborate with other developers on your team. Alternatively, you can follow the Trunk-based development branching strategy. For larger teams and complex deployment cycles, the Gitflow branching model might be more suitable.

Note - this IS NOT Git Flow, which is way too complicated for what we're doing. Even the person who created Git Flow has some warnings and thoughts about it, 10 years later (https://nvie.com/posts/a-successful-git-branching-model/).

just use Gitflow

Git and this: https://nvie.com/posts/a-successful-git-branching-model/

I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.