Traditional performance tuning for MySQL is inherently reactive. You wait for slow queries to pile up in the
slow_query_log or for users to complain about lag, then scramble to tweak
innodb_buffer_pool_size or slap an index on a lagging column. It’s a game of whack-a-mole where you are chasing problems after they’ve already hit.
This approach is not compatible in today’s fast-paced world, where users expect snappy performance. A 1-second query delay might not sound like much, but
Akamai’s data shows it can cut conversions by 7%.
Targeted, proactive, and automated optimization is the way to go. You can keep your database sharp and your users happy without guesswork or lag.