Projects with this topic
-
Deploy and manage services on your own VPS over SSH
Updated -
✅ Easily test all the features of your self-hosted GitLab instance with this continuous integration pipeline.Updated -
A collection of guitar chords that nicely fit on one page
Updated -
DuoOps is a developer-focused CLI and Web Portal designed to make GitLab CI/CD pipelines more transparent, debuggable, and environmentally sustainable. It leverages AI agents to explain failures and provides tools to measure and visualize the carbon footprint of your CI jobs.
Updated -
A demo project showcasing a GitLab CI/CD pipeline with automated build, test, and deployment stages. Includes real-world pipeline patterns for DevOps workflows.
Updated -
Créer un pipeline permettant de builder, de tester et déployer une application
Updated -
-
Objectifs du projet
Ce projet vise à répondre à deux objectifs principaux :
Créer un portail pour les employés : Une application qui permet aux clients de consulter, modifier et supprimer les informations des employés.
Mettre en place une pipeline CI/CD avec GitLab : Automatiser les déploiements pour pouvoir publier de nouvelles fonctionnalités facilement, sans downtime. Le but est de pouvoir pousser un commit et que tout roule sans interruption.
Updated -
Biswajit Nandi / CICD Pipeline GitLab ECS CRUD Spring Boot App
CI/CD Catalog (unpublished)Discover how to streamline Java Spring Boot application deployment with a GitLab CI/CD pipeline using AWS ECS and RDS MySQL. This guide will walk through integrating GitLab for continuous integration & delivery.
Updated -
GITLAB CICD to Deploy webapp by building docker image and then push to AWS ECR, then pointing it to AWS EKS Cluster by pipeline.
Updated -
-
The application has a react frontend and a Spring Boot Rest API, packaged as a single module Maven application. A ci/cd pipeline in demonstrated to build, test and package in Docker Image and deploy the app into Elastic Beanstalk.
Updated -
This is a Django web application that uses machine learning to predict whether a product will go on backorder or not. It uses a pre-trained Random Forest Classifier, Decision Tree and LGBM models to make predictions based on various features such as product availability, lead time, and more.
Updated -
Test project for understanding pipeline CI/CD process.
Updated