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If a Performance Analyst has an urgent need to gather more data for an ongoing issue, they should enable Development Level Monitoring. This monitoring level increases the amount of detailed diagnostic data collected by the agent, such as snapshots and transaction traces, which can provide deeper insights into the issue at hand.

References:

• AppDynamics documentation on Monitoring Levels: Describes the different levels of monitoring available, including Development Level Monitoring and the types of data each level collects.

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.

A transaction snapshot in AppDynamics is a detailed report of a single execution of a business transaction. Its primary purpose is to analyze issues with a specific business transaction by providing a comprehensive view of the transaction's execution path, including timing, call graphs, and database queries. This allows performance analystsand developers to drill down into individual transactions to diagnose performance bottlenecks, errors, or anomalies.

References:

• AppDynamics documentation on Transaction Snapshots: Offers detailed guidance on how to capture and analyze transaction snapshots to troubleshoot and optimize application performance.