MarketplaceStudioToolKibana Jobs, Errors, and Queues Dashboards

Create your first automation in just a few minutes.Try Studio Web

Kibana Jobs, Errors, and Queues Dashboards

Kibana Jobs, Errors, and Queues Dashboards

by Internal Labs

16

Tool

Downloads

951

back button
back button
carouselImage0
next button
next button

Summary

Summary

Interactive Kibana dashboards for jobs, errors, and queue processes, using data from robot logs pushed to Elasticsearch

Overview

Overview

This package includes 3 Kibana Dashboards - jobs, errors, queues.

Jobs:

  • Number of process runs
  • Run-time summary metrics
  • Details table with date, process name, robot name, and number of runs
  • Execution time in hours of processes per robot
  • Robot utilization time in seconds
  • Machine utilization time in seconds

Queues:

  • Transaction status by queue(successful vs failed)
  • Exception type breakdown
  • Total queue item count by priority
  • Total transaction count by status
  • Queue execution time per robot

Errors:

  • Errors per process
  • Errors per robot per process
  • Errors details table with timestamp, process name, robot name, reason, and count
  • Errors per robot and machine

For more info about how reporting and analytics work, check out my blog posts:

Introduction to UiPath logging and analytics

Custom logging for business metrics

Queues

Features

Features

The Jobs Dashboard: Provides an overview of the job activity in the selected time frame as well as over time. Allows the users to perform operational analytics, monitor their machine and robot utilization, and view other job-related KPIs. The Queues Dashboard: Provides an overview of the queue activity in the selected time frame as well as over time. Allows the users to identify queues for which the error rates are high and the types of error for queue items - an indicator of a need to change the way that queue is processed. The Errors Dashboard: Provides an overview of the common errors and processes that are failing most in the selected time frame as well as over time. Allows the users to identify which processes are causing bottlenecks and which robots and machines are most frequently involved.

Additional Information

Additional Information

Dependencies

Kibana (At least version 6.0) Elasticsearch (same version as kibana) Orchestrator Elasticsearch must already be connected via Nlog to contain log data from the robot

Publisher

Internal Labs

Visit publisher's page

License & Privacy

License Agreement

Privacy Terms

Technical

Version

1.1

Updated

February 18, 2020

Works with

Studio: 21.10 - 22.10

Certification

Silver Certified

Support

UiPath Community Support