Real-time Queues

There are three filters available from where you can specify the time range, folder name, and queue name.

To use any of the filters, select the filter and pick one of the options available from the dropdown list. Select Refresh and the requested data is displayed. A timestamp also shows you when data was last updated.

The Queue success rate is where you can see information about the queues ran, success rate and average processing time.

The Completed queues items and Uncompleted queues items are the sections from where you can check the timeline of your queues and the time an event has happened.

Queues with the most failures is the section where you can find out what processes failed the most and how many times.

Queues item failures by reason shows the numbers of errors of an specific queue and the reason of failure.

For an in-depth view you can group them by Queue Name or Robot. This adds a new column in the current table from where you can sort the results from A to Z or Z to A.

In Queue details table, you have an in-depth view of queues from where you can sort them by different criteria as: successful, failed, deleted, abandoned, new, in progress, retired, average duration, median and 90th percentile.

SLA Predictions are predictions calculated based on the AHT of each queue and on the deadlines of items in the queue. The deadlines are calculated as the SLA filled in at queue definition from the moment the queue item was added in the queue. Say you set the SLA to 2 hours, and you add 3 items into the queue at 4, 5, and 6 PM, then your items have the deadlines 6, 7, 8 PM, respectively. The mechanism is identical for risk deadlines.

Field	Description
Queue	The name of the queue.
Process	The name of the process which handles the items in the associated queue.
In SLA	The number of items which are going to be processed in time, before reaching the deadline. This also includes items that are predicted to be at risk. The sum between the number of items in SLA and the ones out of SLA is always the total number of new items in the queue which have the deadline in the next 24 hours.
At Risk	The number of items which are at risk, meaning they are not going to be processed within the risk deadline, but are expected to fall within the calculated deadline. Items that are at risk are considered to be in SLA, that's why they are also counted on the In SLA column.
Out SLA	The number of items that are predicted to exceed their deadline along items which have passed their established deadline. The sum between the number of items in SLA and the ones out of SLA is always the total number of new items in the queue which have the deadlines in the next 24 hours.
Running Robots	The number of busy Robots which run against the corresponding queue, meaning they execute the process set when enabling Queue SLA.
Average Handling Time	The average handling time of a processed item, calculated on all items in the selected queue since it was created.
Average Processing Time	The average processing time of an item, calculated on all items in the selected queue since it was created.
Risk SLA Breach	The amount of time in which the first item in the queue is going to exceed its risk deadline. Hovering over this value displays the exact time.
SLA Breach	The amount of time in which the first item in the queue is going to exceed its deadline. Hovering over this value displays the exact time.
Necessary Robots	The number of Robots required such that all the items are processed before reaching their deadlines. The number of necessary Robots to meet the SLA does not depend on the number of running Robots.

Retried items success table shows you the Queue name, the No items retried, No. successful retries, and % of successful retries. You can sort every column besides Queue name by High to Low or Low to High, using the arrows near the column name title.