Honestly, I learned there’s never just one “go-to” trick for SQL performance. Sometimes a well-placed composite index can speed things up massively, while other times it’s about breaking a heavy query into smaller steps so it’s easier for the engine (and me) to handle. Reading execution plans has saved me more than once it’s where those sneaky full table scans usually show up. And for recurring queries, especially in dashboards, caching pre-aggregated results has been a lifesaver. For me, the real challenge is knowing which lever to pull at the right time, and that decision usually comes from experience and the specific workload.