A hands-on DevOps course covering the culture, methods and repeated practices of modern software development involving Packer, Vagrant, VirtualBox, Ansible, Kubernetes, K3s, MetalLB, Traefik, Docker-Compose, Docker, Taiga, GitLab, Drone CI, SonarQube, Selenium, InSpec, Alpine 3.10, Ubuntu-bionic, CentOS 7...

A list of several resources on different areas such as Security, OSINT, etc. This list is composed of tools that I use or have used and is not intended to become an "Awesome-xxx" type list. WARNING! This repo is no longer maintained. Go here for an updated version: https://gitlab.com/tzkuat/Ressources

GitLab CI runner with docker-compose support (based on gitlab-ci-multi-runner)

An easy way to setup gitlab and gitlab runners using Docker Compose

Docker compose for Kitsu and Zou (Official repo on Gitlab)

Full dockerized Gitlab CI/CD. This project includes docker registry, gitlab, dockerized (installed docker and docker-compose) gitlab-runner host on alpine, also, non-bundled proxy

Docker compose for SOPS (Official repo on Gitlab)

# Python Developer Roadmap Folks, Here are 10 important things to deep-dive into Python Developer Role! Also, the items are listed in no particular order. You don't need to learn everything listed here, however knowing what you don't know is as important as knowing things. ## **1. Learn the basics** * Basic syntax * Variable and data types * Conditionals * List, Tuples, Sets, Dictionaries * Type Casting, Exception Handling * Functions, Buitlin functions ## **2. Advanced Core Python** * Object Oriented Programming(OOP) * Data Structures and Algorithms * Regular Expressions * Decorators * Lambdas * Modules * Iterators ## **3. Version Control Systems** * Basic Git Usage * Repo Hosting Services(GitHub, GitLab, BitBucket) ## **4. Package Managers** * PyPI * PIP ## **5. Learn Framework(Web Development)** - Synchronous Framework - Django, Flask, Pyramid - Asynchrnous Framework - Tornado, Sanic, aiohttp, gevent ## **6. Desktop Applications** * Tkinter * PyQT * Kivy ## **7. Scraping** - Web scraping is an idea that alludes to the way toward gathering and handling huge information from the web utilizing programming or calculation. Absolutely, scratching information from the web is a significant ability to have in case you’re an information researcher, developer, or somebody who examinations tremendous amounts of information. - Python is a successful web scrapping programming language. Essentially, you don’t have to learn muddled codes in case you’re a Python master who can do numerous information creeping or web-scratching undertakings. Notwithstanding, the three most notable and usually utilized Python systems are Requests, Scrappy, and BeautifulSoup. ## **8. Scripting** - Python is a prearranged language since it utilizes a mediator to interpret and run its code. Also, a Python content can be an order that runs in Rhino, or it very well may be an assortment of capacities that you can import as a library of capacities in different contents. - In web applications, specialists use Python as a “prearranging language.” Because it can computerize a particular arrangement of assignments and further develop execution. Accordingly, designers lean toward Python for building programming applications, internet browser destinations, working framework shells, and a few games. **Python Scripting Tools You Can Implement Easily:** - DevOps: Docker, Kubernetes, Gradle, and so on - Framework Admin ## 9. Artificial Intelligence / Data Science - Shrewd engineers consistently lean toward Python for AI because of its countless advantages. Python’s creative libraries are one of the primary motivations to pick Python for ML or profound learning. Additionally, Python’s information taking care of limits is extraordinary not with standing its speed. - Being exceptionally strong in ML and AI, Python is presently getting more foothold from different enterprises like travel, Fintech, transportation, and medical services. Tools You Can Use For Python Machine Learning: Tensorflow PyTorch Keras Scikit-learn Numpy Pandas ## 10. Ethical Hacking With Python - Ethical hacking is the way toward utilizing complex instruments and strategies to recognize potential dangers and weaknesses in a PC organization. Python, quite possibly the most well-known programming dialect because of its huge number of instruments and libraries, is additionally utilized for moral hacking. - It is so generally utilized by programmers that there are plenty of various assault vectors to consider. Additionally, it just takes little coding information, simplifying it to compose content. - Tools For Python Hacking SQL infusion Meeting seizing Man in the Middle Systems administration IP Adress Double-dealing ###### Python is a programming language that has acquired prominence and is sought after. Additionally, Python developer’s interest has soar today, requiring information science with Python preparation. Thus, on the off chance that you have the chance to participate in element-related graphs and appreciate experience altogether, this work makes you fortunate in this field of programming. ###### To close this Python developer roadmap empowers an develoepr to prevail in Python programming on the off chance that you achieve the information and an essential comprehension of the field.

Simple gitlab with gitlab-runner based on docker compose

Installing Gitlab Using Docker Compose on Ubuntu

Docker-compose based on sameersbn/docker-gitlab

Based on the secondary development of laradock, orchestration by docker-compose. Add Openresty, Openresty-Waf, Openresty-Lor, Verynginx, Golang, Python, Walle, Xhgui, Xhprof, Gitlab-Runner, Filebate.

This repo contains a docker compose script to set up a local instance of GitLab server. It’s an alternative to GitHub able to run locally for free and is very easy to set up. The script was tested on Linux and Windows but should work on any platform able to run Docker.

⚠️ DEPRECATED ::: gitlab-runner on debian stretch. with installed docker daemon and docker-compose

A very basic container image based on docker:stable and docker-compose:latest. Quite useful for gitlab CI/CD

A collection of Docker Compose configuration files for deploying various service stacks on Docker Swarm. Created to simplify my own server setup and configuration workflows. Includes ready-to-use configurations for Nginx, GitLab, observability tools, and other infrastructure components for efficient containerized deployments.

@chena: On-premise CI/CD lab using open-source stack (Jenkins, GitLab, Artifactory/OSS7, Postgres/16, NGINX/OpenResty TLS termination, Docker Compose). Includes TLS via Let’s Encrypt and segregated Docker networks for service isolation. Built from scratch to showcase DevSecOps practices.

A Docker Compose configuration that sets up pull-through caches for multiple container registries (Docker Hub, Quay.io, GHCR, GCR, AWS ECR, MCR, GitLab). It helps reduce rate limiting and improve pull speeds by caching container images locally, running multiple registry mirrors on different ports.

Here is a web application, developed durring the ASP.NET Industrial Programming course in “Educational Center of HTP”, copied from the private repository of GitLab, deleted after the course. The project composed of 8 independent projects-games (due to the number of teams – 2 trainees on each project): “Sudoku” (my and my partner’s project), “Balda”, “Sea Battle” etc. Each project is an ASP.NET Core WEB API application on the back, and an Angular 8 application on the front.

Installation based on docker compose with local persistence, for Atlassian JIRA, Bitbucket and Gitlab

A minimal composable infrastructure on top of libudev and libevdev. Upstream repository https://gitlab.com/interception/linux/tools

gitlab on docker-compose

On-prem Gitlab instance using docker-compose

Gitlab CE latest on-Premise with docker-compose

Just my docker stuff like a GitLab and minecraft server on a RPi 5 with docker compose

Self-hosted GitLab Enterprise Edition (EE) using Docker Compose. Works on AWS EC2, DigitalOcean, and other cloud providers.

Tech stack: MERN, Docker Compose, GitLab CI/CD, Harbor, Cloudflare, Terraform A self-hosted e-commerce platform powered by the MERN stack, featuring a complete DevOps pipeline built from scratch on Ubuntu. Implements containerized microservices with GitLab Runner and Harbor registry for CI/CD automation and secure deployments.