Problem statement

      Manual health monitoring of pipeline failures, data discrepancies and load issues leads to the reduced efficiency of the operations monitoring team. This process is resource, cost, and time intensive as the team uses multiple tools to identify the issues.

      Operations monitoring dashboard features

      Bringing efficiency and saving cost by bypassing manual effort of operations monitoring via various channels

        

      Bringing efficiency and saving cost by bypassing manual effort of operations monitoring via various channels

      Visibility and on the go availability of information to leadership and senior management on identified parameters

        

      Visibility and on the go availability of information to leadership and senior management on identified parameters

      Evaluation of performance using heterogeneous data sources at required frequency

        

      Evaluation of performance using heterogeneous data sources at required frequency

      Effective visualisation and analysis of application logs & historic data sets


        

      Effective visualisation and analysis of application logs & historic data sets

      Enable Ops stakeholders with greater analytical resources to aid decision-making

        
       

      Enable Ops stakeholders with greater analytical resources to aid decision-making

      Operations monitoring dashboard potential benefits

      • Timely detection

        Consolidated performance data to enable anomaly detection

      • Accurate detection

        Comprehensive representation to detect anomaly in a hierarchical manner 

      • Aiding resolution

        Provides historic data related to pipeline failures, their RCA and turnaround time which helps in quicker resolution.

      • Synopsis view

        Provides a summary of data flow for pipeline from source through different layers (silver, gold, etc.)

      Operations monitoring dashboard: User personas

      DesignationBusiness userOperations support & engineering leadershipPlatform operations engineer
      TaskConsumes sales data daily, to generate reports and take business decisionsResponsible for data observability to manage data quality, cost, and pipeline concernsMonitors pipelines and resolves pipeline failure issues raised by analyst or business team
      Pain pointsDue to pipeline failures, he is unable to see complete data and take business decisionsInability to timely detect failures and lack of clear visibility into failuresThe process of identifying issues with data pipeline is manual and time consuming, and requires the use of multiple tools
      Ideal experiencesLess turnaround time for resolution of pipeline issues, so that he can take decisions timely thereby not having major business impactsHolistic view of pipeline health for timely and accurate detection of failuresEasy-to-use capability that will handle monitoring and reporting. It should give precise results at required frequency and reasonable costs