Automation Analytics & Intelligence (AAI)

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  • AAI for Airflow

    Your organization may have teams that use open-source or cloud-native automation solutions, particularly Airflow. The challenge is that Airflow's reporting and auditing capabilities are pretty limited. Any analytics that are captured and displayed are at the individual DAG level. You can’t view a failed workflow and quickly determine the business impact for any downstream work. You are essentially missing the end-to-end process view aligned with the business SLAs.

    Connecting AAI directly to Airflow allows you to instantly gain visibility into your existing DAGs and take advantage of the sophisticated analytics AAI provides.  It allows you to have a centralized view of your automation processes in one location. 

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Latest Discussions

  • For those of you in the New York/New Jersey metro area, and for those willing to travel, please join us on May 21st, 2024 for the 26th meeting of the Wall St. AutoSys Users' Group , hosted by Pfizer. Check out our flier for details, and be sure ...

  • Within any given enterprise, automation workloads are relied upon for many business-critical services. Optimizing these workloads, and keeping them optimized, is vital. This task is challenging if not impossible without advanced analytics for workload ...



Latest Q&A List

  • John Hiett's profile image

    RE: Problem during authentication

    Hi Thierry, Can you please share the error message as unfortunately I don't see it in your initial message. If its possible ...

  • Thierry Verreyt's profile image

    Problem during authentication

    HI, I just install AAI on a new Redhat 8 When I try to connect I have this error and I cannot connect to AAI. I ...

Unanswered Threads

  • For those of you in the New York/New Jersey metro area, and for those willing to travel, please join us on May 21st, 2024 for the 26th meeting of the Wall St. AutoSys Users' Group , hosted by Pfizer. Check out our flier for details, and be sure ...

  • Within any given enterprise, automation workloads are relied upon for many business-critical services. Optimizing these workloads, and keeping them optimized, is vital. This task is challenging if not impossible without advanced analytics for workload ...