Data pipelines and model executions can fail silently, continuing to run but producing incorrect or incomplete data. These malfunctioning workflows erode trust and can go unnoticed for weeks, corrupting downstream analytics and business processes.
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 our platform. By integrating alerts and detailed logging, it transforms pipeline management from a reactive, forensic exercise into a proactive, confidence-building one.
Our Pipeline Monitoring dashboard, which provides a centralized view of all pipeline executions, enabling builders to track performance and ensure operational health.
Every time a Pipeline is run in Arkham—whether on a schedule or manually, it is automatically registered with our Monitoring service. You can then view its status, history, and logs from a central dashboard.
This diagram shows how our Pipeline Monitoring service acts as a centralized hub, providing a unified view of the health, logs, and performance of every type of pipeline running on our platform.
🤖 AI-Assisted Monitoring with TARS
As your AI co-pilot, TARS can provide real-time updates on your pipelines. Instead of navigating the UI, you can use natural language to check the status of a pipeline, retrieve logs, and even get performance summaries.
"TARS, what is the status of the @daily_sales_rollup
pipeline?"
"TARS, show me the logs for the last failed run of the @customer_sync
pipeline."