Large tables without indexes—list APIs timeout—teams then argue across ownership lines.
DB Design & Optimization
App-layer tweaks won't hide a wrong schema or missing indexes. Clarify the boundary before choosing the build path.
Schema design, indexes and slow-query work alongside PHP apps.
Data-layer issues
These usually show up before a project starts—or right after a rushed launch.
Poor types hurt storage/compare—it often surfaces only after production impact.
Unpaginated full scans—iteration and local integration slow down.
Careless cache causes inconsistency—users feel it as inconsistent data or UX.
Access-path-driven design
List hot queries; design indexes/tables accordingly; avoid N+1 in PHP; cache only invalidatable read models. Design tables/indexes from access paths—not giant ER diagrams first. Explain/rewrite hot SQL; add cache when needed.
Design tables/indexes from access paths—not giant ER diagrams first. Explain/rewrite hot SQL; add cache when needed.
- Scope written before coding
- Milestones you can accept
- Handover notes included
Highlights
What this engagement typically covers.
Schema design
Included in scope after we confirm stack, constraints and acceptance checks.
Index strategy
Included in scope after we confirm stack, constraints and acceptance checks.
Slow-query work
Included in scope after we confirm stack, constraints and acceptance checks.
Align with PHP access layer
Included in scope after we confirm stack, constraints and acceptance checks.
What you get
- Schema/migration scripts
- Index plan
- SQL rewrites
- PHP access tips
- Watch metrics
How we work
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01
Hotspot/table inventory, with written stage outputs.
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02
Plan sign-off, with written stage outputs.
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03
Change & regress, with written stage outputs.
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04
Observe, with written stage outputs.
Ready to lock scope?
Share slow-query logs or core schemas—we'll triage.