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Active Transaction

You can quickly recognize abnormal transactions by using URLs, SQLs, and HTTP calls of the active transactions, and can analyze the delayed sections in detail through the transaction trace details.


The following explains how to configure the basic settings of the Python agent.

Agent Installation

The following explains how to install an agent on the application server in the Python environment.

Agent Log

The location and options of the Python agent log can be set.

Alert Settings

You can set event conditions and receive notifications in various forms.


You can analyze the application performance in the Python environment and respond to any issues that may happen.

Application alert

Alerts are sent through the resource usage, active transactions, and event conditions of error conditions of the application.

Application of the template

The following guides you to the preset templates that help you quickly build custom dashboards on Flex Board. You can easily perform initial configuration and change the settings. From selecting a template to naming it, adjusting its layout, and saving the settings, you can effectively create monitoring dashboards.

Basic usage

Let's learn the basic operations in the topology menu.

Creating the Flex board

The following explains how to create a dashboard from the Flex Board menu and place widgets to create a custom dashboard. You can select the fixed layout or responsive layout, add metric widgets, and use predefined widget templates. You can reposition and resize widgets to create your own dashboard layout.


It guides you to the cube analysis.

Daily Application Status

You can check the status of key daily metrics by the time zone for applications in the Python environment.


The WhaTap monitoring dashboard provides functions to understand the overall status of a project at a glance.


Python agent's DB and SQL settings are provided.

Event History

You can see the history of alerts that occurred through Event History.

Event reception format

Learn about the event reception format of the alerts provided by Application Monitoring.

Event Setting

Alerts are sent through the resource usage, active transactions, and event conditions of error conditions of the application.

Flex Board

The following guides you to the custom integrated dashboard. You can create real-time dashboards with the data for applications, servers, databases, containers, and more. It provides pre-configured templates. Through the features such as adding various data widgets, data filtering, and setting time ranges, you can easily summarize desired monitoring targets and check important data.

Flex Board Management

The following explains how to edit and manage dashboards in Flex Board. It includes changing the dashboard name, selecting a project, and adjusting the layout for you to see how to add, move, resize, and delete widgets. It also provides the features to select data source for the widget and to export data to json format for the dashboard.

HITMAP - Trace analysis

You can see the transaction list and steps under each transaction at once by opening the trace analysis window through the Hitmap widget.


It provides the settings for HTTPC and API calls of the Python agent.

Log alert

Alerts can be set by filtering the log messages.

Managing the widgets

The following explains how to add, change, copy, and delete widgets placed on the Flex Board. You can customize the dashboard by adding widgets or adjusting the properties of existing widgets. You can configure a dashboard that suits your monitoring needs through detailed controls such as changing widget data search conditions, setting the time, and setting the data merge options.


It describes an overview of metrics.

Metrics alert

Use the metrics event settings to set specific and complex events.

Metrics widget

The following explains how to add metrics data that represents project performance metrics to the dashboard in the form of widget. Metrics are classified into categories, data can be explored using tags, and are available in two types: table widget and series widget.

Multiple transaction trace

The transactions and trace data are provided so that you can see various call relationships at a glance within or between systems, and identify where problems occurred for improvement.


It guides you how to collect logs from your Python application.

Python Monitoring

All application servers running in the Python environment can be monitored.


It guides you to the report.


It guides you to the application analysis.


The following describes the Python agent statistics.


Through various metrics collected from the Python application environment, statistical data is provided.

Support Environment

The following lists basic specifications of the Python application server on which the WhaTap monitoring service operates.


Through the real-time data collected from the monitored servers, you can easily understand the correlation between application servers.

Transaction Map

Transaction map is a chart that expresses the response time of each individual completed transaction in the form of distribution chart.

Transaction search

You can search for the desired transaction based on the individual transaction's performance properties.


The following provides the settings for the Python transactions.

User count

The following describes the number of Python agent users.