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Pipeline Monitoring: Build with Confidence

Data pipelines can fail silently, continuing to run but producing incorrect or incomplete data. These malfunctioning pipelines erode trust and can go unnoticed for weeks, corrupting downstream analytics and ML models.

Arkham's Pipeline Monitoring is engineered to prevent this. It provides a centralized, real-time view into the health, performance, and data quality of every pipeline deployed on the platform. By integrating alerts and detailed logging, it transforms pipeline management from a reactive, forensic exercise into a proactive, confidence-building one.

How It Works: Centralized Health and Alerting

Every time a Pipeline is run in Arkham—whether on a schedule or manually, it is automatically registered with the Monitoring service. You can then view its status, history, and logs from a central dashboard.

AI-Assisted Monitoring with TARS

You can also query the status of any pipeline directly through TARS. This is especially useful for quick, on-the-go checks.

"TARS, show me the latest pipeline runs."
"TARS, what is the status of the 'daily_sales_rollup' pipeline? Show me the logs for the last failed run."

  • Real-time Visibility: Get an immediate, up-to-date view of all pipeline runs—succeeded, failed, or in-progress.
  • Detailed Logging: Access structured logs for every pipeline execution, allowing you to quickly diagnose and debug failures.
  • Proactive Alerting: Configure alerts to be notified immediately via email or Slack when a pipeline fails or a data quality check does not meet its threshold.
  • Performance Analytics: Track historical run times to identify performance bottlenecks and optimize your most critical data workflows.
  • Governance Overview: Understand how pipeline monitoring is a key pillar of a well-governed data platform.
  • Pipeline Builder: The tool used to create the pipelines that you will monitor here.
  • TARS: Your AI co-pilot for checking pipeline status and retrieving logs.