You can also find a representative sample to explore end to end. Performance view: Get deep insights into how your application or API and downstream dependencies are performing.Or you can search within data (for example, with Log Traces) and filter to a given correlated operation of interest. Use the Search experience to quickly narrow down telemetry and data by type and date-time. Advanced users can query the underlying data directly to build custom visualizations through Azure Monitor dashboards and workbooks.Ĭonsider starting with the Application Map for a high-level view. The easiest way to get started consuming Application insights is through the Azure portal and the built-in visual experiences. For this reason, an Azure account is required to use Application Insights. Then it's ingested and processed further before it's stored in Azure Monitor Logs (Log Analytics). The Application Insights agent or SDK preprocesses telemetry and metrics before sending the data to Azure. To figure out which type of instrumentation is best for you, see How do I instrument an application?. The applications could be on Azure, on-premises, or hosted by another cloud. How do I use Application Insights?Īpplication Insights is enabled through either autoinstrumentation (agent) or by adding the Application Insights SDK or Azure Monitor OpenTelemetry Distro to your application code. To understand the number of Application Insights resources required to cover your application or components across environments, see the Application Insights deployment planning guide. The Application Map allows a high-level, top-down view of the application architecture and at-a-glance visual references to component health and responsiveness. The ability to trace activity from end to end is important for applications that were built as distributed components or microservices. This feature allows searching for and visualizing an end-to-end flow of a specific execution or transaction. Smart detection: Detect failures and anomalies automatically through proactive telemetry analysis.Īpplication Insights supports distributed tracing, which is also known as distributed component correlation.Usage: Understand which features are popular with users and how users interact and use your application.GitHub or Azure DevOps integration: Create GitHub or Azure DevOps work items in the context of Application Insights data.Probe the external endpoints of your applications to test the overall availability and responsiveness over time. Availability: Also known as synthetic transaction monitoring.Live Metrics: Observe activity from your deployed application in real time with no effect on the host environment.
You rarely need to change the logging framework.Īpplication Insights provides other features including, but not limited to: Adding trace logging to existing apps only requires providing a destination for the logs. The log trace is associated with other telemetry to give a detailed view of the activity. Reactively review application execution data to determine the cause of an incident.Īlong with collecting metrics and application telemetry data, which describe application activities and health, you can use Application Insights to collect and store application trace logging data.Proactively understand how an application is performing.APM tools are useful to monitor applications from development, through test, and into production in the following ways: Application Insights is an extension of Azure Monitor and provides application performance monitoring (APM) features.
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