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To plot Host CPU and GC (Garbage Collection) Time Spent in a single view, the "JMX tab under 'Tiers and Nodes'" and the "Metrics Browser" are the appropriate methods. TheJMX tab provides access to Java Management Extensions (JMX) metrics, including those related to GC time. The Metrics Browser allows for the customization and aggregation of various metrics, including Host CPU usage and GC metrics, enabling a combined view of these critical performance indicators.

References:
AppDynamics documentation on Monitoring Tiers and Nodes: Discusses the JMX metrics available for Java applications, including garbage collection details. AppDynamics documentation on the Metrics Browser: Describes how to use the Metrics Browser to view and analyze a wide range of performance metrics.

If a Business Transaction stops being displayed on the Business Transaction Dashboard after continuous load, it could be due to the deletion of the Business Transaction Custom Match Rule. Custom Match Rules in AppDynamics are used to define custom business transactions based on specific criteria. If such a rule is deleted, transactions that were previously identified and displayed based on that rule may no longer be recognized as distinct business transactions, leading to their disappearance from the dashboard.
References:
AppDynamics documentation on Business Transactions: Provides insights on configuring and managing
business transactions, including the use of custom match rules.

To view all captured endpoints by service using the REST interface in AppDynamics, a Performance Analyst would navigate to the Metric Browser and proceed to the "Consumed Endpoints" section. From there, drilling down on specific endpoints within the Metric Browser allows the analyst to explore the services associated with each endpoint. This method enables detailed analysis of endpoint metrics, facilitating the monitoring and optimization of service performance.

References:
AppDynamics documentation on Metric Browser: Guides on navigating the Metric Browser to access and analyze various application metrics, including those related to endpoints and services.
AppDynamics documentation on REST API: Provides information on how to utilize the REST API for
retrieving metrics, including endpoint data.

When configuring an Information Point in AppDynamics, you can add match conditions to refine what gets measured. Match conditions based on a regex applied to the method allow you to specify which methods to include based on a regular expression pattern. Matching based on the invoked object allows you to specify which objects' methods are included, filtering the data according to the object type or instance.
These conditions help in pinpointing specific methods or objects for which you want to collect runtime information.

References:
AppDynamics documentation on Information Points and Match Conditions.

In the Browser Real User Monitoring (RUM) Dashboard, the Usage Stats section provides insights into user demographics, including the types of browsers and devices they are using. This section would help the Performance Analyst understand which browsers and devices are affected during a specific time period when there has been an increase in the Business Transaction error rate.
References:
AppDynamics documentation on Browser RUM: (https://docs.appdynamics.com/21.6/en/end-user-monitoring/browser-monitoring/browser-real-user-monitoring)

Both Service Endpoints and Business Transactions in AppDynamics have the capability to configure data collectors. Data collectors are used to gather detailed information about transactions or endpoints, such as method parameters, return values, and SQL statements.
References:
AppDynamics documentation on Data Collectors (https://docs.appdynamics.com/latest/en/application-monitoring/configure-data-collection)

To post an AppDynamics event to a third-party collaboration tool, the Performance Analyst needs to select the "Make an HTTP Request" alert action. This action allows AppDynamics to send an HTTP request to a specified URL, which can be the endpoint provided by the third-party tool's API. This integration capability enables the automatic posting of events, alerts, and notifications from AppDynamics to collaboration tools, enhancing communication and response times to performance issues.

References:
AppDynamics documentation on Alert and Respond: Details the various alert actions available within AppDynamics, including the ability to make HTTP requests to integrate with external systems.

AppDynamics imposes a limit on the number of Service Endpoints that can be registered per node to ensure manageable performance and overhead. The limit per node is set to 100 Service Endpoints, which is a balance between providing detailed monitoring and maintaining application performance.

References:
AppDynamics documentation on Service Endpoints (https://docs.appdynamics.com/latest/en/application-monitoring/monitor-service-endpoints)

When a Performance Analyst is faced with issues related to transaction response times on a specific node, focusing on the "Transaction performance" data is most relevant. This is because transaction performance metrics provide direct insights into the business transactions' speed, response times, and execution times, which are critical for identifying and troubleshooting performance issues. By selecting "Transaction performance" when creating a health rule, the analyst can monitor specific metrics such as average response time, slow transaction count, and very slow transaction count, which are directly related to the performance of business transactions on the node in question.

References:
AppDynamics documentation on Health Rules: This section explains how to create and configure health rules to monitor application performance metrics, including transaction performance.
AppDynamics documentation on Business Transactions: Provides details on how AppDynamics identifies and monitors business transactions, which are key to understanding application performance.

The Live Preview option in a Business Transaction Discovery Session in AppDynamics allows a user to verify the effectiveness of newly configured Transaction Discovery Rules. This feature provides real-time feedback on how these rules identify and categorize business transactions, enabling users to adjust and fine-tune the rules to ensure accurate and meaningful transaction monitoring.

References:
AppDynamics documentation on Business Transaction Management: Includes information on Business Transaction Discovery Sessions and the use of Live Preview to validate Transaction Discovery Rules.