Monitoring and Analyzing Pipelines

curl --header "PRIVATE-TOKEN: <your_access_token>" \
  "https://gitlab.example.com/api/v4/projects/<project_id>/pipelines"

job_name:
  script:
    - echo "Job started"
    - sleep 10
    - echo "Job completed"
  after_script:
    - echo "Pipeline duration: $(( $(date +%s) - $START_TIME )) seconds"

gitlab-runner status

stages:
  - analyze

value_stream_analytics:
  stage: analyze
  script:
    - echo "Running value stream analytics"
    - gitlab-value-stream-analytics --output report.json
  artifacts:
    reports:
      valuestream:
        - report.json

workflow:
  name: "pipeline-metrics"
  rules:
    - if: $CI_PIPELINE_SOURCE == "merge_request_event"

variables:
  PIPELINE_SUCCESS_RATE: "$(curl -s --header "PRIVATE-TOKEN: $GITLAB_TOKEN" "https://gitlab.example.com/api/v4/projects/$CI_PROJECT_ID/pipelines?status=success" | jq -r ".[] | .id" | wc -l) / $(curl -s --header "PRIVATE-TOKEN: $GITLAB_TOKEN" "https://gitlab.example.com/api/v4/projects/$CI_PROJECT_ID/pipelines" | jq -r ".[] | .id" | wc -l) * 100"

curl --header "PRIVATE-TOKEN: $GITLAB_TOKEN" \
  "https://gitlab.example.com/api/v4/projects/1/jobs/123"

variables:
  DEPLOYMENT_FREQUENCY: "10"
  LEAD_TIME: "2h"
  MTTR: "30m"
  CHANGE_FAILURE_RATE: "2%"

job_with_metrics:
  script:
    - echo "Deployment Frequency: $DEPLOYMENT_FREQUENCY"
    - echo "Lead Time for Changes: $LEAD_TIME"
    - echo "MTTR: $MTTR"
    - echo "Change Failure Rate: $CHANGE_FAILURE_RATE"

{
  "id": 12345,
  "duration": 120,
  "status": "success",
  "created_at": "2025-04-01T10:00:00Z"
}

job_name:
  trigger:
    schedule:
      cron: "0 2 * * *"
      description: "Daily backup job"
      ref: "main"
      active: true

const fetchPipelineMetrics = async () => {
  const response = await fetch(
    'https://gitlab.example.com/api/v4/projects/123/pipeline_insights',
    {
      headers: {
        'PRIVATE-TOKEN': 'your-access-token',
      },
    }
  );
  const data = await response.json();
  console.log(data);
};