![]() It automatically detects performance anomalies and includes analytics tools to help users diagnose issues, and to understand what customers do with your application. With cost in mind, consider the appropriate level of logging required.Īpplication Insights is an extensible Application Performance Management (APM) service for developers and DevOps professionals to monitor live applications. To successfully maintain an application, it's important to turn the lights on to have clear visibility into important metrics, both in real time and historically.Īpplication Performance Management (APM) toolsĪn APM technology, such as Application Insights, should be used to manage the performance and availability of the application, aggregating application level logs, and events for later interpretation. Application Performance Management (APM) tools This unique identifier represents a given transaction that flowed through the system. You can create a complete picture of where time is spent at each layer through tools that can query the tracing data repositories in correlation to a unique identifier. Events coming from different application components or different component tiers of the application should be correlated to build these flows.įor instance, using consistent correlation IDs transferred between components within a transaction achieves end-to-end transaction flows.Įvent correlation between application layers allows you to connect tracing data of the complete application stack. Trace the execution of user requests to generate raw data to determine which requests have:ĭistributed tracing allows you to build and visualize end-to-end transaction flows for the application. Apply white-box monitoring to instrument the application with semantic logs and metrics.Implement detailed instrumentation in the application code to better understand the customer experience.Implement black-box monitoring to measure platform services and the resulting customer experience.Make logs and metrics available for #logs-for-internal-dependencies).Consider different log aggregation technologies to collect logs and metrics from Azure resources.Identify known gaps in application observability that led to missed incidents or false positives in the past.Set out critical application performance targets and non-functional requirements with clarity.Capture log messages in a structured format. ![]()
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