by Alan Hohn | Publisher: Packt Publishing | Release Date: March 2019 | ISBN: 9781838554644

Jump-start your application development with automated continuous integration and deployment! About This VideoCreate an automated DevOps pipeline using GitLab CI. Deploy GitLab CI runners for virtualized and containerized builds. Get started fast with gitlab.com, then learn how to deploy your own GitLab server. In DetailDeveloping modern software requires an automated pipeline that builds, tests, and deploys your application, complete with its required infrastructure. GitLab is a Git-based version control server, available at gitlab.com or as a private server. GitLab CI provides automated builds and deployments right from within GitLab. With GitLab CI, it is easy to add build and deployment automation that triggers on every code change, helping you build high-quality, reliable software and deploy it to production at speed. This course will give you a hands-on tutorial on GitLab CI. You will use GitLab CI to create a DevOps pipeline to automatically build, test, and deploy software to virtual machines and container environments.You will explore the features of GitLab CI, including using runners to execute build jobs, creating multi-stage builds, and deploying to virtualized and containerized environments. You will see how easy it is to get started with GitLab CI by deploying your own runners in cloud environments or on your own servers, using Docker and Kubernetes or ordinary scripting.By the end of this course, you'll be ready to use GitLab CI for your own applications to automate your build and deployment pipelines.

1. Chapter 1 : Automated DevOps Pipelines
   • The Course Overview 00:04:16
   • Automated DevOps with GitLab CI 00:09:56
   • Integrating Kubernetes and GitLab CI 00:07:53
   • DevOps with Zero Configuration 00:09:54
   • Creating GitLab CI Configuration 00:08:31
   • Building and Testing with Docker 00:09:53
2. Chapter 2 : Build Stages, Artifacts, and Dependencies
   • Using Build Stages 00:06:24
   • Running Build Steps in Parallel 00:06:14
   • Speeding Up Builds with Cache 00:08:52
   • Defining Artifacts 00:08:03
   • Using Artifacts in Future Stages 00:07:33
   • Passing Variables to Builds 00:07:58
3. Chapter 3 : Automated Application Deployment
   • Declaring Deployment Environments 00:06:10
   • Kubernetes Application Resources 00:08:46
   • Deploying an Application to Kubernetes 00:07:35
   • Deploy Tokens and Image Pull Secrets 00:06:21
   • Dynamic Environments and Review Apps 00:11:28
4. Chapter 4 : Application Quality and Monitoring
   • Integration and Functional Testing 00:08:27
   • Analysing 4.6 Code Quality 00:07:55
   • Dynamic Application Security Testing 00:06:34
   • Application Metrics Collection 00:06:00
   • Application Monitoring with Prometheus 00:08:19
5. Chapter 5 : Custom CI Infrastructure
   • Launching Dedicated Runners 00:09:24
   • Automating Runner Deployment 00:12:36
   • Autoscaling Runners Using Cloud Resources 00:10:21
   • Custom Kubernetes Runners 00:05:38
   • Private GitLab Server Install 00:07:38