Beyond Azure Monitor - Part 2: Advanced KQL Patterns for Real-World Monitoring
Master advanced KQL techniques for correlation analysis, anomaly detection, and building monitoring queries that connect the dots across your entire infrastructure.
Master Azure Log Analytics and KQL queries. From basic queries to advanced monitoring and alerting patterns.
Azure Log Analytics is incredibly powerful, but KQL can be intimidating at first. These posts break down complex queries into understandable patterns, with real-world examples you can use immediately.
Master advanced KQL techniques for correlation analysis, anomaly detection, and building monitoring queries that connect the dots across your entire infrastructure.
Quick reference guide to the five governance disciplines - cost management, security, identity, consistency, and deployment automation.
Using Log Analytics as an actual log aggregation tool - building human-readable tables to view VM status with KQL functions.
Advanced KQL techniques - learn to join tables, use project statements, and convert legacy Perf queries to the new InsightsMetrics format.
Getting started with Azure Log Analytics and KQL - learn to write your first queries and create visualizations from VM performance data.