Upload your slow query logs. We identify the highest-impact query patterns so you know exactly where to focus.
SELECT * FROM users WHERE user_id = ? (1.4s) WITH payments AS (SELECT... (2.1s) SELECT ... GROUP BY... (1.8s) UPDATE sessions SET... (0.9s) ... thousands more lines
Focus on the few patterns driving the majority of database time.
You've got slow query logs, monitoring tools, and dashboards. But you still don't know which queries actually matter, where most of the load is coming from, or what to fix first. Most teams get stuck here.
A predictable three-step workflow that gets you from raw logs to a prioritised, ready-to-implement performance plan.
Frequency × average impact. See exactly where your database time is being spent.
We generate the right EXPLAIN plans and table stats to capture — no guesswork.
Exact fixes — indexes, rewrites — and a prioritised order so the biggest wins come first.
The shortcut everyone takes — pattern-matching against logs alone — produces vague suggestions that miss the real bottlenecks. SQLLens grounds every recommendation in execution behaviour.
A snapshot from a real triage report. Patterns ranked by total load, not just slowest single execution.
| Query pattern | Frequency | Avg time | % of load |
|---|---|---|---|
| SELECT ... WHERE user_id = ? | High · 4,210 | 1.4s | |
| JOIN orders + items (N+1) | Medium · 980 | 2.4s | |
| SELECT count(*) FROM sessions | Medium · 612 | 3.1s | |
| UPDATE users SET last_seen | Low · 8,402 | 0.09s |
Run the triage on us. Upgrade when you want the full diagnosis and prioritised fix plan.
This isn't theoretical optimisation. It's based on analysing real production slow logs, identifying recurring query patterns, and turning execution plans into actionable fixes.
Upload your slow query log. Get a free triage report in minutes.