After you learn the basics of AppDynamics through a hands on trial, you're ready to learn how AppDynamics models application environments. The model serves as the framework around which AppDynamics organizes and presents performance information.
A typical application environment consists of the different components that interact in a variety of ways to fulfill requests from the application's users:
AppDynamics app agents automatically discover the most common application frameworks and services. Using built-in application detection and configuration settings, agents collect application data and metrics to build flow maps.
A flow map visually represents the components of your application to help you understand how data flows among the application components. For example, the business transaction flow map for a simple ecommerce application below shows data flowing between web services, message queues, and databases:
Automatic detection lets you start exploring AppDynamics features quickly. As your understanding of AppDynamics matures and you identify areas unique to your environment, you can refine your application model.
In the AppDynamics model, a business transaction represents the data processing flow for a request, most often a user request. In real-world terms, many different components in your application may interact to provide services to fulfill the following types of requests:
AppDynamics app agents discover requests to your application as entry points to a business transaction. Similar requests, such as user log in, are treated as multiple instances of the same business transaction. The agents tag the request data and trace the request path as it passes from web servers to databases and other infrastructure components. AppDynamics collects performance metrics for each tier that processes the business transaction.
Because AppDynamics orients performance monitoring around business transactions, you can focus on the performance of your application components from the user perspective. You can quickly identify whether a component is readily available or if it is having performance issues. For instance, you can check whether users able to log in, check out, or view their data. You can see response times for users, and the causes of problems when they occur.
A business application is the top-level container in the AppDynamics model. A business application contains a set of related services and business transactions.
In a small AppDynamics deployment, only a single business application may be needed to model the environment. In larger deployments, you may choose to divide the model of environment into several business applications.
The best way to organize business applications for you depends on your environment. A leading consideration for most cases, however, is to organize business applications in a way that reflects work teams in your organization, since role-based access controls in the Controller UI are oriented by business application.
A node in the AppDynamics model corresponds to monitored server or JVM in the application environment. A node is the smallest unit of the modeled environment. Depending on the agent type, a node may correspond to an individual application server, JVM, CLR, PHP application, Apache Web server.
Each node identifies itself in the AppDynamics model. When you configure the agent, you specify the name of the node, tier, and business application under which the agent reports data to the Controller.
A tier is a unit in the AppDynamics model is a grouping of one or more nodes. How you organize tiers depends on the conceptual model of your environment.
Often a tier is used to group of a set of identical, redundant servers. But that's not strictly required. You can group any set of nodes, identical or not, for which you want performance metrics to be treated as a unit into a single tier.
The single restriction is that all nodes in a single tier must be the same type. That is, a tier can't have mixed types of agents, such as both .NET and Java nodes.
The traffic in a business application flows between tiers, as indicated by lines on the flow map, which are annotated with performance metrics.
In the AppDynamics model:
A backend is a component that is not instrumented by an AppDynamics agent but that participates in the processing of a business transaction instance. A backend may be a web server, database, message queue, or other type of service.
The agent recognizes calls to these services from instrumented code (called exit calls). If the the service is not instrumented and cannot continue the transaction context of the call, the agent determines that the service is a backend component. It picks up the transaction context at the response at the backend and continues to follow the context of the transaction from there.
Performance information is available for the backend call. For detailed transaction analysis in for the leg of a transaction processed by the backend, you need to instrument the database, web service, or other application.
This section describes how other App iQ Platform products work with Application Monitoring to provide complete, full visibility on application health and user experience.
Infrastructure Visibility provides end-to-end visibility into the hardware and networks on which your applications run. You can use Infrastructure Visibility to identify and troubleshoot problems that affect application performance such as server failures, JVM crashes, and hardware resource utilization. There are three classes of Infrastructure Visibility functionality:
Network Visibility monitors traffic flows, network packets, TCP connections, and TCP ports. Network Agents leverage the APM intelligence of App Server Agents to identify the TCP connections used by each application. Network Visibility includes the following functionality:
When you add End-User Monitoring to Application Performance Management, you can correlate business transaction performance to the user experience for those transactions. See Correlate Business Transactions for Browser RUM.
In Application Monitoring, a database called by an instrumented node is considered a remote service. You can get a significant amount of information on the interaction between the application node and database, but not from the database server's perspective. When using Database Visibility with Application Monitoring, you can drill down to detailed database performance information directly from application flowmaps. For more information see Access Database Visibility from Application Monitoring Views.
For those times when tracing application code doesn't provide enough clues to track down the cause of a problem, AppDynamics provides visibility into the transaction logs that can be correlated to specific business transaction requests. Log correlation visibility requires a license for both Transaction Analytics and Log Analytics. See Business Transaction and Log Correlation.
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