The ability to trace activity end-to-end is increasingly important for applications that have been built as distributed components or microservices. This feature allows searching for and visualizing an end-to-end flow of a given execution or transaction. In addition, Application Insights supports Distributed Tracing, also known as “distributed component correlation”. Smart Detection – automatic failure and anomaly detection through proactive telemetry analysis.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 context of Application Insights data.Availability – also known as “Synthetic Transaction Monitoring”, probe your applications external endpoint(s) to test the overall availability and responsiveness over time.Live Metrics – observe activity from your deployed application in real time with no effect on the host environment.
Adding trace logging to existing apps only requires providing a destination for the logs the logging framework rarely needs to be changed.Īpplication Insights provides other features including, but not limited to: The log trace is associated with other telemetry to give a detailed view of the activity. In addition to collecting Metrics and application Telemetry data, which describe application activities and health, Application Insights can also be used to collect and store application trace logging data.
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 (also known as “APM”) features.
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