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所在平台: Udemy |
课程主页: https://www.udemy.com/course/gitlab-course-ci-cd/
课程评论：没有评论
课程名称：终极GitLab CI/CD课程：精通DevOps流水线['23'] 课程概述： 本课程旨在全面掌握GitLab CI/CD的所有知识，从基础到高级特性，适合开发人员、DevOps工程师和技术团队。通过实践技能和实际应用，本课程将帮助您成为GitLab CI/CD的专家。深入了解GitLab的持续集成和持续部署，您将学习如何编写MKDocs的Dockerfile、设置您的第一个流水线、管理密钥，并无缝将代码从本地推送到GitLab。 您将提升技能，掌握多阶段和多作业流水线，有效管理依赖关系，并了解GitLab的“引用”特性，以便在多个用例中重用代码。而课程不仅如此，还将涵盖如何将GitLab流水线与Terraform集成，以处理AWS基础设施，利用“规则”和“需求”在流水线中创建条件，甚至引导您完成嵌套流水线的构建。 为什么选择本课程？ - 深入的逐步讲解 - 现实世界示例 - 全面覆盖GitLab特性 - 立即适用日常任务 课程内容包括： - GitLab基础知识入门 - 了解您将要部署的内容 - 为MKDocs编写Dockerfile - 本地构建和部署应用程序 - 如何将Docker镜像推送到GitLab容器注册表 高级GitLab - 模块 2 - 初始化项目及代码推送 - 第一个GitLab流水线 - 构建MKDocs - GitLab中的密钥管理 - 了解多阶段流水线 - 高级容器管理与GitLab注册表 - 精通多阶段、多作业流水线和依赖管理 - 使用GitLab的“引用”功能重用代码片段 GitLab与Terraform - 模块 3 - 使用Terraform创建AWS基础设施 - 通过GitLab进行AWS身份验证 - 利用“规则”和“需求”创建条件流水线 - 在GitLab流水线中集成可重用的Bash脚本 - 使用“include_local”文件构建嵌套流水线 关键收获： - 理解GitLab在CI/CD中的角色，如何利用其特性提高工作效率。 - 精通编写Dockerfile、管理密钥和使用GitLab的容器注册表的技巧。 - 获得高级流水线配置的实践经验，包括多阶段和多作业设置。 - 发现如何使用Terraform将GitLab与AWS基础设施集成。 - 学会创建条件流水线，使用可重用代码片段提高流水线的效率。 通过本课程，您将掌握GitLab CI/CD环境的知识和技能，提高您的生产力和在DevOps领域的市场竞争力。不要错过这个提升职业生涯的机会，掌握“从零开始到专家的GitLab流水线”。
Mastering GitLab Pipelines from Scratch to Expert: A Comprehensive Guide to CI/CD with GitLabUnlock the full potential of GitLab CI/CD in this all-inclusive course that covers everything from the basics to advanced features. Designed for developers, DevOps engineers, and tech teams, this course offers practical skills, real-world applications, and the expertise to become a GitLab CI/CD maven.Dive deep into the world of Continuous Integration and Continuous Deployment with GitLab. Starting from the basics, learn how to write Dockerfiles for MKDocs, set up your first pipeline, manage secrets, and push code seamlessly from local to GitLab.Advance your skills with multi-stage and multi-job pipelines, managing dependencies effectively, and understanding the game-changing 'reference' feature in GitLab for reusable code across multiple use cases.But we don't stop there. The course also covers integrating your GitLab pipelines with Terraform to handle AWS infrastructure, creating conditions in your pipeline using 'Rules' and 'Needs,' and even guides you through nested pipelines.Why Choose This Course?In-depth, step-by-step explanationsReal-world examplesComprehensive coverage of GitLab featuresImmediate applicability to daily tasksGitLab Basics Introduction - Understand What You'll DeployCrafting a Dockerfile for MKDocsBuild and Deploy Applications LocallyHow to Push Docker Images to GitLab Container RegistryAdvanced GitLab - Module 2Initializing a Project and Code PushingYour First GitLab Pipeline - Building MKDocsSecrets Management in GitLabUnderstanding Multi-Stage PipelinesAdvanced Container Management with GitLab RegistryMastering Multi-Stage, Multi-Job Pipelines and Dependency ManagementReusable Code Snippets using 'Reference' in GitLab GitLab with Terraform - Module 3Create AWS Infrastructure using TerraformAuthenticating AWS through GitLabUsing 'Rules' and 'Needs' for Conditional PipelinesIntegrate Reusable Bash Scripts in GitLab PipelinesNested Pipelines with 'include_local' File in GitLabKey Takeaways:Understand GitLab's role in CI/CD and how to exploit its features for an efficient workflow.Master the craft of writing Dockerfiles, managing secrets, and using GitLab's container registry.Get hands-on experience with advanced pipeline configurations, including multi-stage and multi-job setups.Discover how to integrate GitLab with AWS infrastructure using Terraform.Learn how to create conditional pipelines and use reusable code snippets to make your pipeline more efficient.By the end of this course, you will have the knowledge and skills to navigate GitLab's CI/CD environment with ease, boosting your productivity and marketability in the DevOps landscape. Don't miss this chance to advance your career with 'Mastering GitLab Pipelines from Scratch to Expert.'
