Full table scans—teams then argue across ownership lines.
Slow-query work
Database Performance Tuning
Tuning without measurement often 'feels faster' without proof. Clarify the boundary before choosing the build path.
Index, SQL and parameter tuning from slow logs and plans.
Measure then change
Slow logs and load tests before index/schema changes.
Rollback-minded changes
Schema changes ship with scripts and rollback thinking.
Capacity planning
Estimate growth before sharding—avoid early complexity.
Perf pains
These usually show up before a project starts—or right after a rushed launch.
Wrong or too many indexes—it often surfaces only after production impact.
Excessive temp tables—iteration and local integration slow down.
Connection saturation—users feel it as inconsistent data or UX.
Hotspot closed loop
Slow log→explain→index/SQL change→regress→observe; avoid giant batches of changes. Find hot SQL, score index/rewrite gains, tune buffers/connections when needed—compare latency before/after.
Find hot SQL, score index/rewrite gains, tune buffers/connections when needed—compare latency before/after.
- Scope written before coding
- Milestones you can accept
- Handover notes included
Highlights
What this engagement typically covers.
Slow-log analysis
Included in scope after we confirm stack, constraints and acceptance checks.
Index tuning
Included in scope after we confirm stack, constraints and acceptance checks.
SQL rewrite
Included in scope after we confirm stack, constraints and acceptance checks.
Parameter advice
Included in scope after we confirm stack, constraints and acceptance checks.
What you get
- Analysis report
- Change scripts
- Before/after
- Watch metrics
- App-side tips
How we work
-
01
Baseline, with written stage outputs.
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02
Plan sign-off, with written stage outputs.
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03
Change window, with written stage outputs.
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04
Observe, with written stage outputs.
Ready to lock scope?
Export slow-log samples—we'll find Top SQL.