Using historical data to confirm performance improvements turns a fast test into evidence the business can defend.
Single-Query Tuning Versus Workload Tuning
Single-query tuning versus workload tuning decides whether one fast victory becomes a durable performance improvement.
Validating AI-Generated Index Recommendations
Validating AI-generated index recommendations is the step between a persuasive script and a change you can defend in production.
Cost Optimization That Never Reaches the Invoice
SQL Server cost optimization has a problem nobody puts on the slide. The savings are real, and none of it reaches the invoice.
Data Quality and Observability: A Field Guide in Six Parts
Master data quality and observability in six parts: name the problem, rank the risk, define rules, place controls, monitor for drift, and respond calmly.
You Just Found Bad Data in Production. Now What?
Found bad data in production? Use this data incident response playbook: triage, contain, trace the source, fix, verify, tell people, and review calmly.
It Passed Every Test and Still Broke: Four Signals Validation Never Catches
Every test passed and the dashboard still broke. Here are four signals validation never catches: freshness, volume, schema drift, and distribution shift.