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Integrate Splunk with RunMyJobs

Redwood Author Authored by Redwood Software

Get visibility into RunMyJobs job execution and operator activity in Splunk to support investigation, compliance and security reporting.

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Overview

The Splunk connector for RunMyJobs by Redwood sends job history, status updates and operator interactions to your Splunk index, making orchestration activity part of your centralized logging and analytics strategy.

With automation events captured alongside security, infrastructure and application data, teams can investigate incidents, validate compliance and analyze execution behavior using powerful search and reporting capabilities. Maintain a complete, time-based record of process activity to strengthen governance and accelerate root-cause analysis.

Key features

  • Automatically forward completed job history and status updates to your Splunk index
  • Export detailed execution metrics, including start times, end times, runtimes and wait times 
  • Send operator messages and replies to Splunk to maintain a permanent, tamper-proof audit trail of manual interventions
  • Monitor active jobs and non-final states to detect anomalies and stalled executions

Integration type

Learn more & support

Other Monitoring and Observability Integrations

  • Sap Endorsed Icon

    Cloud ALM

    Unify visibility across your SAP landscape by monitoring and synchronizing the status of RunMyJobs processes directly in SAP Cloud ALM.
    • Monitoring and Observability
  • Logo Newrelic

    New Relic

    Bring RunMyJobs orchestration insight into New Relic to analyze automation performance alongside your broader operational data.
    • Monitoring and Observability
  • Dynatrace Logo

    Dynatrace

    Align process orchestration with full stack observability by connecting RunMyJobs directly to Dynatrace.
    • Monitoring and Observability
  • Appdynamics Icon

    AppDynamics

    Send RunMyJobs data directly to AppDynamics to enhance observability across your mission-critical automated processes.
    • Monitoring and Observability

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