Application report

Home > Select Project > Report

If you click on the report screen, you can see various application analysis reports categorized by daily, weekly, and monthly.

Daily Application Report

Daily Application Report displays the application performance records for the day with figures and charts. You can search by setting the start date, start time, and end time.

Summary

Summary displays an overview of the application for the selected query period. Peak Time Performance Summary can display the time when the throughput was highest for the day and the metrics for the time period.

• Daily Active User (DAU)

  Number of users who accessed during the selected query period.

• Request

  Number of transactions that flowed in during the query period.

• Error Rate

  Rate of the error count divided by the transaction count.

• Fatal Event

  Number of metrics events in critical level that occurred during the query period.

• Application Server

  Number of applications (agents) monitored during the query period.

• CPU Core

  Number of CPU cores during the query period.

• APDEX*100(Application Performance Index)

  It indicates the customer performance satisfaction with the application for the query period.

• Transaction Per Second (TPS)

  It indicates the number of transactions processed per second and is the reference for the service performance.

Performance trend chart

Through Perf. Trend Chart, you can see the visualized key metrics.

The metrics that can be seen in Perf. Trend Chart are Concurrent User, Visitor Count per Hour, Throughput (TPS), Average Res. Time, CPU Utilization, Heap Usage, Error Count, and Daily Transaction Distribution. In each graph, you can check the time and number whose metric was the highest.

On the upper right of the chart, use CSV to download the data in an Excel file.

The daily transaction distribution displays the hourly transaction distributions at a glance. The X-axis of the graph represents the end times of each transaction, and the Y-axis represents the response times (seconds). Normal transactions are displayed in blue, and erroneous transactions are displayed in red.

Status for each application

For each monitoring target, you can see the peak time performance and daily average performance. Active Count indicates the number of active transactions.

Top 10 transactions

It displays only top 10 transactions with the highest number of transactions, errors, and average response time during the day.

Top 10 SQL average response times

It is the statistical data sorted by the average response time for SQL queries during the query period. In STAT/REPORT > Statistics > SQL, you can see the times and performances for each query in detail.

Note

Increase %

It is a figure calculated by comparing the average value of the data for three days before inquiry with the data on the day of inquiry.

• Example

  4/25 00:00 to 23:59 data inquiry → comparison with 4/22 00:00 to 4/24 23:59 data

  If the figure is greater than 10%, it appears in red, and it is between 5% and 10%, it appears in orange. The increase rates of less than 5% do not appear.

Weekly Application Report

Weekly Application Report displays the application performances for the week with figures and charts. You can enter the start date and view from 7 days before the day of inquiry.

Summary

• Weekly Active User

  Number of users logged on for a week.

• Weekly Transaction Count

  Number of responses returned for a week.

• APDEX*100

  It indicates the customer performance satisfaction with the application for the query period.

Working Rate

You can check the working rates for each monitoring target by date, and you can check their weekly averages. If no data, the status appears with -. If data exists but the value is too small, the status appears with 0.

Performance trend chart

On the chart of the weekly application report, there are visitor count, APDEX*100, real-time user, transaction count, response time, throughput, active transaction, CPU utilization, and heap usage.

The X-axis of the chart represents the date, and the Y-axis represents the value of the metric. You can see the date with the highest value and the value can be checked in text on the graph. In the table below the graph, you can see the daily average, maximum value, weekly average, and more.

On the upper right of the chart, use CSV to download the data in an Excel file.

Top 10 transactions

In the comparison of Top 10 transactions, you can compare data for the week based on the start date with the data for the previous week.

For detailed information for each transaction, you can see in STAT/REPORT > Statistics > Transaction.

Note

Example Start date: 4/22

• Lookup week: 4/22 00:00 to 4/28 23:59
• Previous week: 4/15 00:00 to 4/21 23:59

Transaction count

This is the sorted result of the transactions received for the week in descending order based on the number of transactions.

• Transaction Count

  It indicates the number of responses returned by the application after processing. It becomes a metric to see which service (URL) is most active during the week.

• Inc/Dec

  The figure is used to compare between the numbers of transactions for the week and the previous week of inquiry, and the rate is the figure as a percentage.

Error Count

This is the sorted result of transactions received during the week in descending order based on the number of errors.

• Error Count

  This statistical data allows you to check which services (URL) have many errors.

• Inc/Dec

  The figure is used to compare the error counts for the week and the previous week of inquiry, and the rate is the figure as a percentage.

Average response time

This is the sorted result of transactions received during the week in descending order based on the average response time.

• Time Avg

  The time taken by the application server to return the request result to the user, which is displayed in milliseconds (ms).

• Inc/Dec Time

  The figure is used to compare the response times for the week and the previous week of inquiry, and the rate is the figure as a percentage.

Top 10 SQL average response times

This is the sorted result of SQL queries by the average response time. You can compare the numbers of weekly cases and average times for each query statement.

• Inc/Dec Time

  The figure is used to compare the average SQL processing times between the week and the previous week of inquiry, and the rate is a percentage.

Project errors

In the project error status, errors are compared for each week. You can see the classes and error messages of errors.

• Error Count

  This is the sorted result of errors in descending order after summing the same error classes and error messages.

• Inc/Dec

  The figure is used to compare the error counts between the week and the previous week of inquiry, and the rate is a percentage.

Note

Meaning of the increase rate colors

• Red: If the rate is negative, it indicates that it has decreased compared to the previous week.
• Orange: It indicates that the rate is 0% or more and less than 10%.
• Red: It indicates that the rate is 10% or more, or new data appeared that did not exist in the previous week.

Monthly Application Report

Monthly Application Report displays the application performances for the month with figures and charts. You can enter the start date and view from 30 days before the day of inquiry.

Summary

In Summary, you can see the figures for transaction count, user count, working rate, application count, core count, and Apdex*100 for the month.

• Monthly Transaction Count

  Number of transactions that flowed in for a month.

• Monthly Active User (MAU)

  Number of users logged on for a month.

• Working Rate

  Average value of working rates for each application for the month.

• Application Count

  Number of applications monitored during the month.

• All Cores

  Number of CPU cores during the month.

• APDEX*100(Application Performance Index)

  It indicates the customer performance satisfaction with the application for the query period.

Status for each application

For each monitoring target, you can see the data for IP address, OS information, andmonthly average working rate.

Performance trend chart

You can see the key metrics for a month with a chart. In the monthly application report, the metrics displayed on the chart are as follows:

• Customer Loyalty

  This value quantifies how many users are using the service every day among week-based users.

• Daily Active User

  This graph displays the number of users logged on for the day.

• Daily Transaction Count

  This graph displays the number of incoming transactions for the day.

• Transaction per Hour

  This graph displays the numbers of incoming transactions for each hour.

• Error Count per Hour

  This graph displays the error counts of incoming transactions for each hour.

• Active Transaction

  This graph displays the numbers of active transactions for each hour.

• Throughput

  This graph displays the transaction throughput per second calculated every hour by date.

• Average Response Time per Hour

  This graph displays the average response time of incoming transactions for each day.

• Heap Use

  This graph displays the used Java heap memory amount per hour by date.

• CPU SYS Utilization

  This graph displays the CPU SYS usage % for the day by date.

• CPU usage of process

  This graph displays the utilization percentage of CPU used by the Java process for the day by date.

• APDEX*100

  This graph displays the customer satisfactions for the day by date.

Note

APDEX (Application Performance Index) calculation method

According to the response speed, calculation is performed with 3-level classifications (Satisfied, Allowed, Dissatisfied).

APDEX*100 = (number of satisfied users + (allowed count * 0.5 / total user count)) * 100

On the upper right of the chart, use CSV to download the data in an Excel file.

Top 10 transactions

Transaction count

This is the sorted result of transactions received for the month in descending order based on the number of transactions.

• Transaction Count

  It indicates the number of responses returned by the application after processing. It becomes a metric to see which service (URL) is most active during the month.

• Inc/Dec

  The figure is used to compare the transaction counts for the month and the previous month of inquiry, and the rate is a percentage.

Error Count

This is the sorted result of transactions received for the month in descending order based on the number of errors.

• Error Count

  This statistical data allows you to check which services (URL) have many errors.

• Inc/Dec

  The figure is used to compare transaction counts for the month and the previous month of inquiry, and the rate is a percentage.

Average response time

This is the sorted result of transactions received for the month in descending order based on the average response time.

• Time Avg

  The time taken by the application server to return the request result to the user, which is displayed in milliseconds (ms).

• Inc/Dec Time

  The figure is used to compare the response times for the month and the previous month of inquiry, and the rate is a percentage.

Top 10 SQL average response times

This is the sorted result of SQL queries by the average response time. You can compare the numbers of monthly cases and average times for each query statement.

• Inc/Dec Time

  The figure is used to compare the average SQL processing times between the month and the previous month of inquiry, and the rate is a percentage.

Note

Meaning of the increase rate colors

• Red: If the rate is negative, it indicates that it has decreased compared to the previous week.
• Orange: It indicates that the rate is 0% or more and less than 10%.
• Red: It indicates that the rate is 10% or more, or new data appeared that did not exist in the previous week.