This is the second of two connected posts on SQL Server CPU.
In this post, Kevin Kline focuses on the moving parts that turn into real incidents: SQL Server wait statistics, thread scheduling pressure, troubleshooting workflow, and how observability tools shorten the path from symptom to root cause. In Part 1, we looked at how SQL Server uses CPU, why high CPU usage in SQL Server is often misunderstood, and which configuration habits help create a more stable, high-performance environment.
