C

CI/CD

✨⚒️⚡ ¡Hola! | Bonjour! | Hallo! | 你好 | مرحبا | Hello !, Gitlab✨⚒️⚡

AI-powered security orchestration for GitLab CI/CD. Automated vulnerability patching, threat modeling, and compliance scoring with GPT-4 and Claude AI agents.

DBLab Engine enables 🖖 database branching and ⚡️ thin cloning for any Postgres database and empowers DB testing in CI/CD. This optimizes database-related costs while improving time-to-market and software quality. Follow to stay updated.

User interface for the Bookshelf project, An administrator can add book using the book's ISBN and a visitor can browse the administrator book library. Developed using angular 13+ and angular material 13+

CI Templates

Build cross-compilers with crosstool-NG.

Verible build container.

Build slideshows with Marp.

lighthouse build container.

Use the Inkscape command line interface.

Hardware in the loop example using the Atmel SAM4E XPlained Pro board

https://sacha.house - Site personnel.

Analyze CI/CD pipeline durations and critical paths.

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A Terraform module to create and manage a Lambda function that can be invoked with a function URL. Sample Lambda function that can be used with the URL is included.

RunWatch is a modern, cross-platform CI/CD monitoring and analytics platform for developers and teams who want better visibility into their build pipelines.

The RunWatch GitLab Reporter is a CI/CD component that automatically collects and reports pipeline metrics to the RunWatch Pipeline Pulse Portal. Designed for developers who need visibility into their pipeline performance, this component captures comprehensive pipeline and job-level metrics including execution times, status, compute usage, and more.

Cheatsheet / IT toolbox

Leonardus is an open source project. It is a minimalist, stack-based programming system designed as a flexible framework for implementing and exploring algorithms. The syntax and semantics of its scripting language, LeoScript, are inspired by PostScript and Forth. It is extended with a prototype-based, object-oriented paradigm, has seamless integration into JupyterLab and Docker, and provides a concise and expressive environment for learning and experimentation.

The project name is a nod to Leonardus Pisanus, who was named and became known as Fibonacci.

Consult the project's GitLab Pages for documentation.