Las canalizaciones de datos pueden fallar silenciosamente, continuar ejecutándose pero produciendo datos incorrectos o incompletos. Estas canalizaciones que funcionan mal erosionan la confianza y pueden pasar desapercibidas durante semanas, corrompiendo el análisis descendente y los modelos de ML.
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.
Cada vez un 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."