popeye VS Visual Studio Code

We also leverage tools like Kubent, popeye, kdave, and Pluto to help us manage API deprecations (when Kubernetes deprecates features in updates) and ensure the overall health of our infrastructure.

Just came across this, sounds nice: https://popeyecli.io/

The repository for the tool can be found here.

Use tool like Kube-hunter, Popeye and Kubescape for security weaknesses and misconfigurations in kubernetes clusters and visibility of security issues.

"Popeye is a utility that scans live Kubernetes cluster and reports potential issues with deployed resources and configurations."

A similar tool is Popeye. It works on any cluster, not just clusters hosted on GKE.

https://github.com/derailed/popeye

Hey fellow amazing developers, we got you Essential VS Code Extensions for 2024 (these are especially important for web developers) recommended by our developers at evotik, we wont talk about ESlint nor Prettier which all of you already know.

Visual Studio Code (VS Code): Developed by Microsoft, VS Code is a lightweight yet powerful IDE with extensive support for Python development through extensions. It offers features like IntelliSense, debugging, and built-in Git integration.

In VSCode for example this can be easily done by adding the following .vscode/launch.json file:

I had a near-identical experience. I looked into switching in 2019 and ran into this 2016 bug which was a showstopper for me. Fixed it myself, grand total 4 line diff. https://github.com/microsoft/vscode/issues/10643

When working in Visual Studio Code (VS Code), always create a new Python file for your project.

Code Editor: Choose a code editor like Visual Studio Code that offers good support for web technologies and extensions for PWA development.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

https://github.com/microsoft/vscode/forks

27,000 people seem to have done so.

Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python.

I was doing it all wrong, designing and developing on the fly, using the same tool - VScode; Making one step forward and ten back when I mess up with good code while trying to get rid of the bad. I had gotten away with it for three pages, but it had finally caught up with me.