> For the complete documentation index, see [llms.txt](https://docs.inopli.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.inopli.com/rpa-soar/events.md).

# Events

The <mark style="color:green;">**Events**</mark> <mark style="color:green;"></mark><mark style="color:green;">view</mark> in the <mark style="color:green;">Inopli RPA</mark> module provides complete visibility into the execution history of all automations and tasks. Each row in the interface represents a single execution instance, capturing the object type (task or automation), customer context, and a unique identifier for traceability.

***

### **Purpose and Design**

* <mark style="color:green;">**Centralized Execution Logging**</mark>\
  All automation and task runs are logged in a unified table, allowing operators to track status, analyze performance, and investigate failures across all customer environments.
* <mark style="color:green;">**Detailed Drilldown**</mark>\
  Selecting a specific execution opens a detailed breakdown showing every object executed within the playbook, including its position, name, and current status. This enables granular visibility into execution flow, helping analysts understand what happened at each step.
* <mark style="color:green;">**Search and Filtering**</mark>\
  The table supports dynamic search and filter options, so users can quickly locate specific executions by name, ID, or customer, even in high-volume environments.

***

### **Benefits**

* <mark style="color:green;">**Operational Traceability**</mark>\
  Analysts can audit every step of execution, ensuring that workflows behave as expected and facilitating quick diagnostics when issues arise.
* <mark style="color:green;">**Execution Status at a Glance**</mark>\
  The interface provides immediate insights into whether an execution was successful, failed, or partially completed, enabling rapid response to anomalies.
* <mark style="color:green;">**Seamless Integration with Automation Flow**</mark>\
  Each recorded event ties directly back to the originating automation or task, forming a closed feedback loop for optimization and refinement.


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