Monitor, analyze, and troubleshoot Azure solutions using Azure Monitor and Application Insights.
Focuses on monitoring and troubleshooting solutions using Azure Monitor Application Insights. Includes monitoring and analyzing metrics, logs, and traces, implementing availability tests and alerts, and instrumenting applications or services to use Application Insights for comprehensive observability and diagnostics.
5 minutes
5 Questions
Monitoring and troubleshooting Azure solutions is a critical skill for Azure developers, encompassing various tools and techniques to ensure application health, performance, and reliability. Azure provides a comprehensive monitoring ecosystem centered around Azure Monitor, which collects and analyzes telemetry data from cloud and on-premises environments. Application Insights, a feature of Azure Monitor, enables developers to detect performance anomalies, diagnose issues, and understand user behavior in web applications. It automatically collects request rates, response times, failure rates, and dependency tracking. Developers can implement custom telemetry by adding the Application Insights SDK to their applications, allowing them to track specific events, metrics, and exceptions. Log Analytics workspaces store and query log data using Kusto Query Language (KQL), enabling powerful analysis of application and infrastructure logs. Azure developers should configure diagnostic settings to route platform logs and metrics to appropriate destinations like Log Analytics, Storage Accounts, or Event Hubs. Alerts can be created based on metric thresholds or log query results, triggering notifications or automated actions through Action Groups. For troubleshooting, developers utilize Live Metrics Stream for real-time performance monitoring, Snapshot Debugger for capturing application state during exceptions, and the Profiler for identifying performance bottlenecks. Distributed tracing helps track requests across microservices using correlation IDs. Azure also provides health probes for App Services and container instances to monitor application availability. Developers should implement proper exception handling and logging patterns, using structured logging for better searchability. Smart Detection automatically identifies potential performance problems and failure anomalies. Workbooks provide customizable reporting dashboards for visualizing monitoring data. Understanding how to interpret metrics, analyze logs, and correlate events across services is essential for maintaining reliable Azure solutions and quickly resolving production issues.Monitoring and troubleshooting Azure solutions is a critical skill for Azure developers, encompassing various tools and techniques to ensure application health, performance, and reliability. Azure provides a comprehensive monitoring ecosystem centered around Azure Monitor, which collects and analyz…