RPA Monitoring and Alert Management Integrated with UiPath

Automation systems are now at the heart of the digital transformation journey for all large-scale companies. Robotic Process Automation (RPA) significantly increases companies’ efficiency by automating repetitive, rule-based tasks. UiPath is one of the world’s most widely used software platforms in the field of Robotic Process Automation (RPA).
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UiPath—or RPA systems—enable companies to automate manual, repetitive, and rule-based business processes using software robots. However, RPA systems do not generate value simply by being implemented; the real value comes from processes running seamlessly and error-free.

Issues such as a job remaining in a “pending” state for hours, a robot losing its connection, or an error going unnoticed and locking up the systems can hinder the efficiency of automation investments. For this reason, it is critical not only to operate RPA processes but also to actively monitor them and intervene when necessary.

RPA Monitoring: Our Intelligent Monitoring Framework Integrated with UiPath

With its user-friendly interface and robust technological infrastructure, UiPath is one of the most preferred platforms in the RPA field. We have developed a solution that is fully compatible with this platform, monitors RPA processes, and simplifies alarm management. With this system:
  • Processes are monitored continuously
  • Alarms are generated by making events meaningful
  • Intervention is provided through automated alarm actions
  • All monitoring and alert information is managed through CI configurations in a centralized system
  • Since alerts are managed from a single central location, root cause analysis is enabled
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Gaining Traceability and Context Through a Structured CI Inventory

At the core of our solution architecture, the integration with the ITSM system was designed to enable centralized monitoring and management of all components within the UiPath infrastructure (robots, jobs, processes, etc.). The customer-specific Orchestrator inventory is integrated into the system according to a hierarchical structure and is updated regularly. This ensures that all RPA assets are kept under control and enables rapid response to potential issues.

This approach not only provides inventory tracking but also offers critical contextual information for alarm generation and correlation processes:

  • In which environment (development, test, prod) the alarm occurred
  • Under which customer or affiliate
  • At which service level (L0-L1-L2, etc.) it was generated can be determined in real time.

This enables traceability and analysis not only at the technical level but also at the organizational level. The Configuration Item (CI)-based structure provides a strong foundation for both operational awareness and SLA management.

What Are We Watching?

Robot & Job Monitoring Scenarios

The status of both robots and process jobs is continuously monitored in our system:

  • Robot Monitoring: An alarm is triggered the moment a robot loses connection with the system (disconnect).
  • Job Monitoring: An alarm is triggered if jobs enter an unexpected error (faulted) state or remain in a pending state for longer than the defined threshold time.

These controls can be defined for each process, robot, or system component using flexible parameters. By defining process-specific monitoring policies, the system’s behavior in the event of an error is predetermined.

Alarm Actions: A Proactive Intervention Mechanism

The generated alerts are not only displayed—the system also takes automatic actions based on predefined thresholds:

  • L0 (Notification)
    Email notification
    Automatic call
    Cascading call (“If robot A at affiliate X disconnects, person Y is called first; if they do not answer, person Z is called; if they also do not answer, person V is called”).
  • L1 (Intervention)
    Automatic job restart
    Triggering specific recovery scripts

This ensures that the system can respond quickly in the event of errors and allows issues to be resolved without the need for user intervention.

Correlation for Root Cause Analysis

Thanks to centralized alarm management, all alarms can be analyzed in relation to CIs:

  • Relationships between CIs can be mapped
  • Processes affected by the same issue can be identified
  • Systemic problems can be identified through recurring alarms

This structure enhances the level of operational maturity by facilitating the root cause analysis process.

Conclusion: Not Just Automation, but the Continuity of Automation

The benefits that RPA solutions provide to businesses only become meaningful through sustainability. With the UiPath-integrated RPA monitoring solution, we don’t just provide a monitoring infrastructure—we also track the heartbeat of automation systems every second, proactively detect issues, and automate interventions.

  • Real-time monitoring
  • Flexible alert generation
  • Automated action
  • CI-based visibility and analysis

When there’s a smart system behind RPA processes, businesses gain not just automation, but controlled, secure, and sustainable automation.

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