Уровень 0 · материалов: 5
В кластер включаются документы, посвященные настройке и применению GitLab CI для автоматизации разработки, и исключаются материалы, сфокусированные на Jenkins или общем развертывании в AWS.
Общие признаки: автоматизация с помощью GitLab CI, конфигурация .gitlab-ci.yml, процессы непрерывной интеграции и доставки, использование Docker в пайплайнах
Группа выше: CI/CD и DevOps
Смысл: The main idea of the text is to provide a practical, end-to-end tutorial on automating the build and deployment process of a Java Spring Boot application using GitLab CI/CD and Docker to improve development efficiency and reliability.
A step-by-step technical guide on implementing a CI/CD pipeline for a Spring Boot application using GitLab CI/CD, Docker, and Kaniko for automated building and remote server deployment.
Смысл: The main idea is to demonstrate that GitLab CI is a versatile tool for automating not just testing, but the entire deployment lifecycle, from simple static sites to complex multi-environment corporate workflows.
A comprehensive tutorial on using GitLab CI to automate software deployment, moving from basic S3 uploads to advanced multi-environment strategies and manual rollbacks.
Смысл: The text serves as a beginner-friendly introduction to GitLab CI, demonstrating how to automate testing, compilation, and packaging through a configuration file (.gitlab-ci.yml) to eliminate manual errors in the development cycle.
A beginner's guide to setting up an automated CI pipeline in GitLab using .gitlab-ci.yml, focusing on testing, artifacts, and Docker optimization.
Смысл: The text serves as a practical tutorial for migrating to and implementing GitLab CI to automate the testing and deployment of Ansible playbooks, emphasizing the use of Docker for environment consistency.
A technical guide on installing GitLab CE, configuring a Docker-based runner and container registry, and setting up a CI pipeline to lint and test Ansible playbooks.
Смысл: The main idea is to demonstrate how GitLab CI can be configured to support a professional, multi-role software delivery process that balances automation with manual oversight for production stability.
A technical walkthrough of a real-world GitLab CI pipeline that uses branches for development and tags for production releases, incorporating a manual approval gate for safety.