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Pipeline Monitoring: Build with Confidence

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.

Pipeline Monitoring UI Our Pipeline Monitoring dashboard, which provides a centralized view of all pipeline executions, enabling builders to track performance and ensure operational health.

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 our Monitoring service. You can then view its status, history, and logs from a central dashboard.

graph LR
    subgraph "All Arkham's Pipelines"
        direction TB
        P1[Data Ingestion Pipelines]
        P2[Data Transformation Pipelines]
        P3[Model Inference Jobs]
        P4[Data Writeback Pipeline]
        P5[Model Monitoring]
    end

    subgraph "Unified View"
        M["""Pipeline Monitoring Service
        Centralized health, logs, performance"""]
    end

    P1 --> M
    P2 --> M
    P3 --> M
    P4 --> M
    P5 --> M

    classDef pipelines fill:#E3F2FD,stroke:#1976D2
    class P1,P2,P3,P4,P5 pipelines

    style M fill:#E8F5E9,stroke:#388E3C
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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.

  • 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.
  • Performance Analytics: Track historical run times to identify performance bottlenecks and optimize your most critical data workflows.

🤖 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."

  • Governance Overview: Understand how pipeline monitoring is a key pillar of a well-governed data platform.
  • Pipeline Builder: Our tool used to create pipelines that you will monitor here.
  • TARS: Your AI co-pilot for checking pipeline status and retrieving logs.