Audit your database performance across query optimisation, indexing, storage I/O, connection pooling, caching, and monitoring.
This comprehensive 51-point checklist helps you systematically identify database performance bottlenecks. Cover query performance and optimisation, indexing strategy, storage and I/O performance, connection management and pooling, caching and memory configuration, and monitoring and alerting. Each section includes scoring to quantify your current performance posture and prioritise improvements.
Database administrators, DevOps engineers, IT managers, and developers responsible for database performance in business-critical applications.
Slow databases are most commonly caused by missing or inefficient indexes, poorly optimised queries, insufficient connection pooling causing bottlenecks under load, or storage I/O that cannot keep pace with query demand. Running a systematic audit across each area usually surfaces the true cause faster than guessing based on symptoms alone.
Look for queries doing full table scans on large tables, slow query logs flagging execution times above your acceptable threshold, and indexes that exist but are rarely used by the query planner. Most databases include built-in tools for identifying missing or redundant indexes without needing third-party monitoring software.
Connection pooling reuses a limited set of database connections across application requests rather than opening a new connection for every query, which is expensive in terms of memory and latency. Undersized pools cause requests to queue and time out under load, while oversized pools can exhaust database server resources.
Yes, this 51-point checklist covers query optimisation, indexing, storage I/O, connection pooling, caching, and monitoring, with section scoring to help you quantify your current performance posture and prioritise fixes.
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