πŸ” KQL

KQL Queries for Production Azure

Master Kusto Query Language with real-world queries for Azure Resource Graph, Log Analytics, and Azure Monitor.

Why KQL is Hard (And How to Make it Easy)

The problem with KQL: Microsoft's documentation shows you what's possible, but not what's useful. You get syntax examples, not production queries.

After writing thousands of KQL queries to manage enterprise Azure infrastructure, I've learned that effective KQL requires understanding three layers:

  • Data model awareness β€” Knowing which tables exist and how they connect (this is 80% of the battle)
  • Query patterns β€” Reusable templates for common scenarios (inventory, compliance, cost analysis)
  • Performance optimization β€” Making queries fast enough for dashboards and automation

This hub contains my complete KQL toolkit: from beginner fundamentals to advanced joins, aggregations, and performance tuning. Every query is tested in production Azure environments.

1. KQL Fundamentals

Core syntax, operators, and query structure

2. Resource Inventory Queries

Find, count, and analyze Azure resources at scale

3. Cost and Compliance Analysis

Join cost data with resource metadata and tags

4. Advanced Techniques

Performance tuning, complex joins, and automation patterns

The New Azure Debugging Rule: When AI Says 'I Don't Know'

The New Azure Debugging Rule: When AI Says 'I Don't Know'

2025-10-06

AI has changed when you should stop debugging and open a Microsoft support ticket. If Claude can't solve your Azure problem after reading every doc, GitHub issue, and Stack Overflow post, you've hit the boundary of public knowledge. Time to use the support you're paying for.

Azure AI Operations
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GitHub Resources

Production-ready code and tools

KQL Query Library (Coming Soon)
Production-tested KQL queries for Azure Resource Graph and Log Analytics
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