Transactions

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This widget provides a comprehensive overview of total transaction volumes across all runtimes with a trend percentage, along with detailed insights into the most and least performing runtimes to help you make informed business decisions. It presents both pictorial and graphical representations of the runtimes based on performance, highlighting maximum and minimum transaction counts. Click Top runtimes or All runtimes tab to view its respective transactions in the runtime split and line graph.

You can customize the trending count for runtimes by modifying the Row settings under User preferences - Display. For more details, see Customizing Row Settings.

The Upward Trending tab displays the list of runtimes for which the transaction trend percentage is greater than the set transaction trend threshold in the Runtime: Upward trending/improving section of the User preference > Threshold page. The Downward trending tab displays the list of runtimes for which the transaction trend percentage is lesser than the set transaction trend threshold in the Runtime: Downward trending / deteriorating by section of the User preferences > Threshold page. For more details on how to set the trend threshold, see Change Threshold Settings.

How to determine the total transactions and trend analysis for all runtimes?

Example,

To determine the total transactions of the runtime A for 4 hours based on the following metrics, assume,

Time stamp	Total transactions
1st one hour	100
2nd one hour	200
3rd one hour	200
4th one hour	50

Total transaction of the runtime A for 4 hours=100+200+250+100=550

Assume the total transactions of the runtime B for 4 hours are 450.

Runtime	Total transactions
A	550
B	450

Total transaction of all runtimes for 4 hours=550+450=1000

With the Transactions Trend analysis, you can compare current and past transactions based on the time range you choose to spot changes.

You can replace 24 hours with the time range you select in the filter. If the determined trend percentage of transactions is,

A positive value, it is displayed in green with an upward arrow that indicates that the transaction volume is increased.
A negative value, it is displayed in red with a downward arrow that indicates that the transaction volume is decreased.

Example,

To determine the transactions trend percentage for all runtimes for 24 hours, assume,

Total transactions of runtime in the last 24 hours	Total transactions of runtime in the previous 24 hours (that is the 24 hours prior to the last 24 hours)
1000	500

Transactions Trend percentage for 24 hours for all data planes =[(1000-500)/500]*100 = 100%

The determined transactions trend percentage, 100% (positive), appears in green with an upward arrow that indicates increased transactions compared to the previous 24 hours.