Editing AppDynamics (section)

== Understanding (Comprehension) ==
📖 Explain what the topic means, how it works conceptually, and how it relates to similar ideas.

=== Conceptual relationships & contrasts ===
* '''AppDynamics vs traditional monitoring''' – Traditional CPU/RAM monitoring vs AppDynamics’ transaction-based, code-level tracing.
* '''AppDynamics vs other observability platforms''' – More focus on business transaction context; others often focus on metrics/logs first.

=== Core principles & paradigms ===
* Dynamic baselining of performance trends  
* End-to-end transaction tracing  
* Flow-map visualization across distributed services  
* Top-down triage from business metrics → code execution  

=== How it works (high-level) ===
* '''Inputs:''' Metrics, logs, traces, user experience events  
* '''Processes:''' Agents collect → Controller analyzes → Baselines created → Anomaly detection  
* '''Outputs:''' Alerts, flow maps, health rules, dashboards  

=== Roles & perspectives ===
* Builders (developers) – diagnose slow code  
* Operators (SRE/DevOps) – ensure availability and uptime  
* Stakeholders – correlate performance to business metrics  
* End users – benefit from improved response times  

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