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Intro
CI/CD Fundamentals
Introduction to CI/CD Pipelines
Benefits of Using GitLab CI/CD
GitLab CI/CD Components
Practical Implementation of CI/CD Pipelines
.gitlab-ci.yml Basics
How to Create a .gitlab-ci.yml File
Basic Structure of a .gitlab-ci.yml File
Step by Step Guide to Creating a .gitlab-ci.yml File
Advanced Configuration
Full Example
GitLab Runners
GitLab Runners
Choosing the Right Runners
Runner Configuration
Runner Management Best Practices
Why Use Runners?
GitLab Executors
What Are GitLab Executors?
Why Are Executors Important?
Docker Executor
Shell Executor
Specific Runners
Installing Specific Runners
Installing GitLab Runner on Linux
Installing GitLab Runner on macOS
Installing GitLab Runner on Windows
Creating the Runner
Registering the Runner
Verifying the Runner
Configuring the Runner
Artifacts
Artifacts in GitLab CI/CD
Storing Artifacts in .gitlab-ci.yml
Retrieving Artifacts
Using Artifacts in Subsequent Jobs
Advanced Artifact Management
Conclusions
Documentation Generation
Documentation Generation in GitLab CI/CD Pipelines
Setting Up MkDocs
Configuring MkDocs
Creating Documentation Pages
Summary
Monitoring
Basic Monitoring in GitLab CI/CD
Enable Pipeline Monitoring
Add Notifications for Pipeline Events
Add Notifications for Pipeline Events

Monitoring

Enable Pipeline Monitoring

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Step 1: Enabling Pipeline Monitoring

GitLab provides built-in features to monitor the health and performance of your CI/CD pipelines. Here’s how to enable and use these features for your Flask application:

Pipeline Schedules:

Pipeline schedules allow you to run pipelines at regular intervals, such as nightly builds or weekly tests.

To set up a pipeline schedule:

  • Navigate to your GitLab project.
  • Go to Build > Pipeline schedules
  • Click Create a new pipeline schedule and fill in the details (e.g., cron syntax for the schedule, branch to run the pipeline on).

pipeline-schedule

  • Click on the Create pipeline schedule button to start running the pipeline at the specified times.

Pipeline Analytics:

GitLab provides pipeline analytics to help you track the performance and efficiency of your pipelines, which is useful for monitoring the success rate and build times of your Flask project`s pipelines.

To access pipeline analytics:

  • Go to Analyze > CI/CD analytics in your GitLab project.
  • Review the available metrics, such as pipeline duration, success rate, and failure rate.