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An HTTP Data Collector is a type of data collector that captures data from HTTP requests and responses. It can capture three kinds of data: parameter values, headers, and cookies. Parameter values are the values of the query string or form parameters in the HTTP request. Headers are the key-value pairs that are sent or received as part of the HTTP request or response. Cookies are the small pieces of data that are stored by the browser and sent to the server with each request. An HTTP Data Collector can be configured to capture any of these data types by specifying the name of the parameter, header, or cookie in the data collector settings. The captured data can be used for various purposes, such as adding context to business transactions, creating custom metrics, or triggering health rules.

The Database Collector’s Hardware Monitoring configuration allows you to enable the Database Agent to monitor the server hardware in addition to the database. You can choose from the following operating systems: Linux, Windows, and Solaris. You need to provide the credentials and the connection details for the server that hosts the database.

The Report Type field determines what kind of information is captured in the report. There are different report types available, such as Application Health Report, Dashboard Report, Controller Audit Report, and so on. Each report type has different fields in the Report Data tab that can be customized. Therefore, to get the desired information in the report, you need to select the appropriate Report Type from the dropdown menu when creating a scheduled report.

Error configuration is a feature in AppDynamics that allows you to exclude certain types of errors and exceptions from being reported on the dashboard. You can use error configuration to filter out noise and focus on the most relevant and actionable issues.Database error return codes: These are codes that indicate a problem with the database server, such as 0x80004005 (access denied) or 0x8000005E (access violation). You can exclude these errors from being reported on the dashboard by adding them to the error configuration list.JavaScript errors: These are errors that occur in the browser due to invalid or malformed JavaScript code, such as syntax errors or reference errors. You can exclude these errors from being reported on the dashboard by adding them to the error configuration list.

Remote Services metrics are the metrics that show the performance and behavior of the external systems that an application interacts with, such as web services, databases, message queues, etc. An AppDynamics administrator can use two locations to view Remote Services metrics: the Tier Dashboard and the Exit Point Metrics. The Tier Dashboard shows the flow map of a tier and its downstream dependencies, including the remote services that the tier calls. The administrator can click on any remote service node on the flow map to see the metrics such as average response time, calls per minute, errors per minute, etc. The Exit Point Metrics show the metrics for all the exit points (remote service calls) of an application, grouped by type, such as HTTP, JDBC, JMS, etc. The administrator can drill down to see the metrics for each exit point, such as the backend name, the tier name, the business transaction name, etc.

To examine the Java App agent logs on a host without login access, you can use the Controller UI to request the agent logs. This feature allows you to download the agent logs from the Controller UI without having to access the host machine. You can specify the log level, the time range, and the file size limit for the logs.

A diagnostic session is a timed session in which AppDynamics captures transaction snapshots for a business transaction at a more frequent interval that you set. In the session, AppDynamics captures full call graphs for the transactions. A diagnostic session can be triggered manually or automatically based on a health rule violation or a threshold of slow or error transactions. A diagnostic session is always associated with a specific business transaction, not all business transactions configured.

A data collector is a configuration that captures application data from a method invocation or an HTTP request. A data collector is associated with a specific method signature or an HTTP parameter name. Therefore, if a new class and method have been deployed to the application, or a new method parameter has been added to an instrumented class, the existing data collector may not match the new code and may need to be updated. However, if the business transaction has been deprecated, or a new HTTP parameter has been added to an existing business transaction, the existing data collector may still work as expected, unless the data collector is specifically configured to filter by the business transaction name or the HTTP parameter value.

Business Transaction metrics are the key performance indicators that measure the health and performance of your applications. They include metrics such as average response time, calls per minute, errors per minute, and so on. You can use various types of performance degradation analysis to identify and troubleshoot the root causes of performance issues using Business Transaction metrics.Correlation Analysis: This type of analysis helps you to find the correlation between different metrics and events that may affect the performance of your Business Transactions. For example, you can use the correlation analysis to see how the response time of a Business Transaction is related to the CPU utilization of a node, or how the error rate of a Business Transaction is related to the number of slow database calls.Remote Services Analysis: This type of analysis helps you to understand how the performance of your Business Transactions is impacted by the calls to remote services, such as databases, web services, message queues, and so on. For example, you can use the remote services analysis to see the response time, call count, error count, and wait time of each remote service call, and drill down to the details of each call.Compare Releases: This type of analysis helps you to compare the performance of your Business Transactions across different releases of your application. For example, you can use the compare releases analysis to see how the response time, error rate, and throughput of your Business Transactions have changed after a new deployment, and identify any performance regressions or improvements.

Health Rules are the rules that define the normal or expected behavior of your application, such as the response time, error rate, or CPU utilization of a business transaction, tier, node, or backend. You can create health rules to monitor the performance and availability of your application and its components. When a health rule is violated, it changes the status of the corresponding key performance indicator (KPI) from normal to warning or critical, depending on the severity of the violation. The status change is also represented as an event in the AppDynamics Controller UI, which can trigger alerts, policies, and actions. You can view the health rule events in the Events tab of the application dashboard, or in the Health tab of the entity dashboard.