Summary

In this chapter, we described the functionality that Azure Monitor provides for analyzing data using logs and metrics. We began by exploring the critical role that logs play in monitoring and diagnosing issues in cloud environments. We explored the two primary types of logs in Azure Monitor – Basic Logs and Analytics Logs – highlighting their differences, use cases, and characteristics.

We then explained how to query log data using KQL. KQL’s powerful yet simple syntax allows efficient data retrieval, transformation, and visualization. We covered key KQL components such as tabular expressions, let statements, and parsing capabilities, and demonstrated their practical applications in extracting meaningful insights from large datasets.

Next, we explored the use of Azure Metrics Explorer for collecting, visualizing, and analyzing metrics. We demonstrated how to access Metrics Explorer, configure metric charts, and understand metric aggregations and dimensions...