Active Transaction
It guides you to active transactions.
It guides you to active transactions.
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.
It describes additional functions available in the Topology menu.
The following provides the method how to set the communication for the application server.
The following explains how to install an agent on the application server in the Go environment.
The options of the agent log can be set.
You can pause or delete the Go agent service.
The following explains how to set the agent name in order to identify the monitoring target.
Alerts are sent automatically after recognizing application execution distribution patterns through machine learning.
You can set various functions related to reception of alerts by project members.
You can analyze the application performance in the Go environment and respond to any issues that may happen.
It guides you to the transaction-related menus.
Alerts can be set to detect a series of behaviors looking for unexpected patterns.
It describes the Go agent Apdex.
You can use the Go library to send the data to be monitored to the WhaTap agent.
Alerts are sent through the resource usage, active transactions, and event conditions of error conditions of the application.
You can monitor resources of your web application server in real time.
It describes the application metrics.
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.
It guides you to the performance counter.
It guides you to the application report.
Let's learn the basic operations in the topology menu.
The following explains how to configure the default settings of the Go agent.
It guides you to the agent configuration for each Go library.
The following provides the method how to control the functions of the application server.
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.
You can check the status of key daily metrics by the time zone for applications in the Go environment.
The WhaTap monitoring dashboard provides functions to understand the overall status of a project at a glance.
You can see the history of alerts that occurred through Event History.
Learn about the event reception format of the alerts provided by Application Monitoring.
Alerts are sent through the resource usage, active transactions, and event conditions of error conditions of the application.
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.
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.
Let's learn the provided functions according to the screen mode of the Flex board.
It guides you how to collect logs from your Go application.
You can monitor the application server that runs in the Go environment.
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 options regarding the PHP agent's HTTPC and API call.
The items must be checked after installing the agent.
In the Docker environment, it allows you to install the agent to monitor Go applications in the container.
This step allows you to install the agent to monitor Go applications in the container.
You can see the Go application environment along with the performance-related settings.
It guides you to the integrated report.
The following describes the main menus of the application monitoring service.
Alerts can be set by filtering the log messages.
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.
You can compare the patterns of various metrics with the expected patterns learned by the AI.
It describes an overview of metrics.
Use the metrics event settings to set specific and complex events.
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.
It guides you to the multi transaction tracing.
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 to the performance trend.
It guides you to the report.
The Flex board can be shared and reused by the users with other accounts.
It describes the Go agent statistics.
Through various metrics collected from the Go application environment, statistical data is provided.
The following lists basic specifications of the Go application server on which the WhaTap monitoring service operates.
Let's learn about the functions provided by the type-based topology.
Through the real-time data collected from the monitored servers, you can easily understand the correlation between application servers.
It provides the options related to the Go agent's DB and SQL.
You can search for the desired transaction based on the individual transaction's performance properties.
It guides you to the transaction step collection method.
It guides you to the transaction tracing.
The agent traces the transaction performance and provides the following configurable options.
It guides you to the overview of transaction.
It aggregates the numbers of real-time users connected to WAS.