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Pipelines module
Pipelines module
  • Pipelines Module Definition
    • Pipelines Module
  • Benefits and importance of the Pipelines module
  • Pipeline Metadata Definition (Metadata Schemas)
  • Creating a new Pipeline
  • Pipelines details
  • Target selection and object filtering (Triggers)
  • Execution/launching and review restrictions
  • Steps
  • Monitoring the progress of your pipeline tasks (Jobs)
  • Filtering jobs
  • Jobs and API access
  • Running a pipeline on a given container
  • Branching
  • Wait for user step
  • Automating your pipeline (using a function)
  • Stopping a running job
  • Pipeline Details
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Monitoring the progress of your pipeline tasks (Jobs)

Last updated 7 months ago

Monitoring the progress of your pipeline tasks, or jobs, involves tracking the status and performance of each task throughout the pipeline execution.

This includes checking whether tasks are running, completed, failed, or pending. Tools or dashboards are often used to provide real-time updates on job states, resource usage, and logs for error handling or debugging.

Monitoring helps ensure that jobs are on track, resources are optimally utilized, and issues are detected early, allowing for quick resolution to keep the pipeline running smoothly: