SQL Server Wait Statistics Are Not a Diagnosis

This article discusses the common mistake of treating SQL Server wait statistics as a diagnosis rather than a directional clue in performance investigations. It highlights how high wait types like PAGEIOLATCH or ASYNC_NETWORK_IO can stem from various underlying issues such as missing indexes, memory pressure, slow storage, or application behavior. The author warns that jumping to conclusions based on top waits leads to costly missteps like scaling the wrong resource or blaming the wrong team. The article emphasizes connecting wait statistics to broader context—query design, workload patterns, and business processes—for effective troubleshooting. Aimed at IT leaders and database professionals, it advocates for a disciplined, evidence-based approach to performance optimization.