docker-compose
Projects with this topic
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Linnaeus is a program/app developed by Naturalis to setup and manage taxonomic databases.
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Postgres DB + Crawlers and Scrapers for Apache HOP
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This demo app features a user profile system with a pure JavaScript frontend, a Node.js backend using Express, and MongoDB for data storage, all containerized with Docker. You can start the application using either Docker commands or Docker Compose for streamlined setup. Detailed steps for initializing components, running services, and accessing the app are provided.
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Simple WordPress plugin implementaion. CRUD over todo-list. Admin area disable/enable.
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Repository for OPS stuff and helper tools for deployment
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Converts commands between docker run and docker compose.
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This project serves as an example of a messaging system, utilizing RabbitMQ as the message broker and Django Celery for task management and worker generation. RabbitMQ efficiently queues and distributes messages, ensuring reliable and asynchronous communication between services. Django Celery integrates with the Django framework to manage and schedule background tasks, generating workers that execute these tasks. Together, they provide a robust and scalable solution for handling asynchronous tasks and inter-service communication.
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The Docker PaaS you've been looking for.
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this repo resemble ci cd lifecycle - we have 3 projects with 3 jenkinsfiles in each different stage in lifecycle is being handled (CI, CD-->K8 CD->(Terraform)->AWS)
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react + typescript + d3.js 資料視覺化
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summery project for end of course @ devops experts
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Using docker-compose with a slightly more complex app.
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Домашнее задание для DevOps-тренировок в Яндексе, лекция "Облако. Кто виноват и что делать."
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The initial task of practical work on the course "DevOps for operation and development" https://gitlab.com/tekliuk-pet-project/sausage-store-initial-task Смотреть ветки
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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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