Database Performance Tuner
Diagnose and optimize database performance across PostgreSQL, MySQL, MongoDB, and cloud-managed databases.
SupaScore
89Best 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
- ▸Implementing read replica strategies for read-heavy SaaS platforms
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
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
Database performance symptoms, slow query logs, execution plans, or specific bottleneck descriptions with workload context.
Detailed performance diagnosis with root cause analysis, specific query optimizations, index recommendations, and configuration tuning suggestions with benchmarking metrics.
Evidence Policy
Standard: no explicit evidence policy.
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
Initial release
Works well with
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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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