yamllint VS kubernetes

yamllint, as the name suggests, is a linter for YAML files. It checks syntax validity, as well as looking for more-complex errors like key repetition and cosmetic problems such as line length, trailing spaces, indentation etc. This one was indly recommended by yankdevil.

StrictYAML removes features that might be useful for some usecases, such as Node anchors+Refs and Flow Style.

I don't think the cost of an additional standard is worth it in this case.

While YAML has issues, they aren't much of problem if you use a linter, such as yamllint [1].

1. https://github.com/adrienverge/yamllint

On top of the above-mentioned tools, it's also a good idea to use YAML linter such this one or its CLI equivalent, which will validate and cleanup your documents.

yamlfixer automates the fixing of problems reported by yamllint by parsing its output.

repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.0.1 hooks: - id: check-added-large-files - id: check-ast - id: check-builtin-literals - id: check-case-conflict - id: check-docstring-first - id: check-executables-have-shebangs - id: check-json - id: check-merge-conflict - id: check-symlinks - id: check-toml - id: check-vcs-permalinks - id: check-xml - id: check-yaml args: [--allow-multiple-documents] - id: debug-statements - id: detect-aws-credentials args: [--allow-missing-credentials] - id: destroyed-symlinks - id: end-of-file-fixer - id: fix-byte-order-marker - id: fix-encoding-pragma args: [--remove] - id: forbid-new-submodules - id: mixed-line-ending args: [--fix=auto] - id: name-tests-test args: [--django] - id: requirements-txt-fixer - id: trailing-whitespace - repo: local hooks: - id: black name: black entry: poetry run black language: system types: [python] - id: flake8 name: flake8 entry: poetry run flake8 language: system types: [python] - repo: https://github.com/pycqa/isort rev: "5.9.1" hooks: - id: isort args: - --profile - black - --filter-files - repo: https://github.com/adrienverge/yamllint.git rev: v1.26.1 hooks: - id: yamllint args: [-c=.yamllint.yaml] - repo: https://gitlab.com/devopshq/gitlab-ci-linter rev: v1.0.2 hooks: - id: gitlab-ci-linter args: - "--server" - "https://your.gitlab.server" # Need env var GITLAB_PRIVATE_TOKEN with gitlab api read token - repo: https://github.com/commitizen-tools/commitizen rev: v2.17.11 hooks: - id: commitizen stages: [commit-msg] - repo: https://github.com/jumanjihouse/pre-commit-hooks rev: 2.1.5 # or specific git tag hooks: - id: forbid-binary - id: shellcheck - id: shfmt

If you wanted a linter.

Or, run Yamllint externally. I do this, because I have more control: https://github.com/adrienverge/yamllint

You can catch this with yamllint (https://github.com/adrienverge/yamllint):

    % cat countries.yml

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.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

If you do kubectl explain deployment than (surprise!) you'll get a description for extensions/v1beta1. Because kubectl explain works the same way, just like kubectl get:

Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).

In this project, you will understand and get hands on experience around the entire concept around CI/CD from applications perspective. To fully gain real expertise around this idea, it is best to see it in action across different programming languages and from the platform perspective too. From the application perspective, we will be focusing on PHP here; there are more projects ahead that are based on Java, Node.js, .Net and Python. By the time you start working on Terraform, Docker and Kubernetes projects, you will get to see the platform perspective of CI/CD in action.

The single most important development in hosting since the invention of EC2 is defined by its own 3-letter acronym: k8s. Kubernetes has won the “container orchestrator” space, becoming the default way that teams across industries are managing their compute nodes and scheduling their workloads, from data pipelines to web services.