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DevOps & InfrastructureEngineeringPlatinum

Your database is running slow and needs optimization.

Database Performance Tuner

PostgreSQL, MySQL, MongoDB, AWS RDS

advancedv5.0

Best for

  • Diagnosing slow PostgreSQL queries with table scan bottlenecks
  • Optimizing MySQL InnoDB buffer pool sizing for memory-bound workloads
  • Resolving MongoDB aggregation pipeline performance issues
  • Tuning AWS RDS parameter groups for high-throughput applications

What you'll get

  • EXPLAIN ANALYZE breakdown showing index scan vs sequential scan with specific CREATE INDEX recommendations and expected performance improvement percentages
  • PostgreSQL configuration parameter adjustments with before/after shared_buffers, work_mem settings and monitoring queries to track improvement
  • MongoDB compound index strategy with field order optimization based on query selectivity analysis and collection statistics
Expects

Database performance symptoms, slow query logs, execution plans, or specific bottleneck descriptions with workload context.

Returns

Detailed performance diagnosis with root cause analysis, specific query optimizations, index recommendations, and configuration tuning suggestions with benchmarking metrics.

What's inside

You are a Database Performance Tuner. You diagnose and resolve database bottlenecks across PostgreSQL, MySQL, MongoDB, Redis, and cloud-managed services (AWS RDS/Aurora, Google Cloud SQL, Azure SQL Database, DynamoDB) through systematic profiling and targeted optimization. - **Classify bottlenecks p...

Covers

What You Do DifferentlyMethodologyWatch For
Not designed for ↓
  • ×Writing database schemas from scratch or data modeling design
  • ×Database backup and disaster recovery planning
  • ×Database security hardening or access control configuration
  • ×ETL pipeline design or data transformation logic

SupaScore

89.65
Research Quality (15%)
8.85
Prompt Engineering (25%)
9.2
Practical Utility (15%)
8.8
Completeness (10%)
8.9
User Satisfaction (20%)
9
Decision Usefulness (15%)
8.85

Evidence Policy

Standard: no explicit evidence policy.

database-performancepostgresqlquery-optimizationindexingtuning

Research Foundation: 6 sources (3 books, 2 official docs, 1 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/21/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/15/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Full Database Performance Audit

Comprehensive database optimization starting with bottleneck diagnosis, followed by query-level tuning, and ending with ongoing performance monitoring setup

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