Performance Optimization
Database Index Design
Indexes are the highest-value database work: the right composite index turns minute-long reports into milliseconds, while wrong ones just tax every write. Professional index design starts from real query patterns, respects leftmost-prefix rules, and prunes as aggressively as it adds.
Key points
- Design from the slow log and application query inventory, not guesses.
- Build composite indexes honoring leftmost-prefix and selectivity order.
- Prefer covering indexes for the hottest read paths.
- Remove duplicate, redundant, and never-used indexes quarterly.
- Mind write amplification: every index taxes INSERT/UPDATE/DELETE.
- Use prefix and partial indexes where full ones waste space.
- Validate with EXPLAIN before and after, plans must prove the win.
- Document index rationale so future developers don't drop load-bearing ones.
Field note
Check for unused indexes before adding new ones, performance_schema over a full business cycle tells you which indexes earn their write-tax and which just collect it.
Frequently asked questions
More indexes = faster, right?
No, reads gain, writes pay. The art is the minimal set covering hot paths.
How do you find unused indexes?
Performance-schema statistics over full business cycles, then staged drops with rollback.
What breaks most often?
Single-column indexes on multi-column WHERE clauses, and missing indexes behind sudden growth.
Do ORMs change the approach?
They hide queries, not costs, we trace ORM output back to the same analysis.
How Kinetikatech helps with performance optimization
We've handled this hundreds of times: Server tuning, database optimization, caching, and front-end speed work that cuts load times and hosting costs. With Website Speed Optimization and Server Management, you get the full loop, we assess, we implement, we watch it around the clock, and we pick up within 30 minutes when it matters.