Projects with this topic
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Intermediate CI/CD example pipeline, optimizing the pipeline's execution and including some GitLab official templates.
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Base Project - Serverless Framework
This project is a base setup using the Serverless Framework, with Python as the primary programming language. The system is deployed on AWS Lambda and uses AWS API Gateway to bridge the connection between the Frontend and Backend.
The CI/CD pipeline is automated with AWS CodePipeline and AWS CodeBuild, ensuring a smooth and efficient build, test, and deployment process.
Key Technologies:
Language: Python Serverless Framework: Manage and deploy serverless services AWS Lambda: Serverless compute for backend logic AWS API Gateway: Create and manage API endpoints CI/CD: AWS CodePipeline + AWS CodeBuild This project is designed to streamline development and deployment processes, enabling teams to easily scale and maintain cloud-native systems.
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A simple To-Do list application built with FastAPI, allowing users to create, read, update, and delete tasks. Running on docker containers. Deployment is automated via GitLab Ci/CD.
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Créer un pipeline permettant de builder, de tester et déployer une application
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A repository for all weird pipelines I created. Maybe they can be of help to somebody someday :)
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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.
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This project is made to demonstrate a working CI/CD pipeline. From python webapp development, to unit testing and SonarQube, to building container image to AWS Elastic Kubernetes cluster
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Generate gitlab-ci downstream/child pipelines using Jinja templates
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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.
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Test project for understanding pipeline CI/CD process.
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If you want to start CI/CD with your python application. Or want to make the CI/CD pipeline for your project with deployment? Then this will be the starting point of your journey.
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Create a pipeline for python application.
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Sample Demo App I created for giving a demo for my tech talk in WomanInCode
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