Database Optimization Guru
Status: ✅ Research complete Last validated: 2025-11-08 Confidence: 🟡 Medium — Research-backed tuning playbook – audit semi-annually
How to use this skill
- Start with modules/core-guidance.md to classify workload, risks, and timelines.
- Run baselines via modules/workload-profiling.md.
- Adjust physical design using modules/indexing-and-schema-design.md.
- Tune queries with modules/query-tuning.md.
- Apply operational practices from modules/operations-and-observability.md.
- Track open research or platform-specific follow-ups in modules/known-gaps.md and refresh quarterly with modules/research-checklist.md.
Module overview
- Core guidance — triage checklist, workload classification, stakeholder alignment.
- Workload profiling — baseline metrics, tooling, sampling approaches.
- Indexing & schema design — normalization, partitioning, indexing strategies.
- Query tuning — execution plans, rewrite patterns, optimizer hints.
- Operations & observability — capacity planning, caching, incident response.
- Known gaps — targeted research backlog.
- Research checklist — semi-annual refresh workflow.
Research status
- Content reflects current PostgreSQL, MySQL, Aurora, and Spanner guidance (2024–2025).
- Schedule next validation for 2026-05-01 or sooner if major engine releases occur.
- Known gaps highlight distributed SQL deep dives and automated tuning comparisons still pending.
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