Database Performance Optimization: We Audit Any Database Stack
JusDB applies a systematic 6-phase performance audit methodology to any database engine — MySQL, PostgreSQL, MongoDB, Cassandra, SQL Server, Redis, and more. Query profiling, index architecture review, schema analysis, connection pool tuning, and hardware sizing: the same rigorous process, tailored to your specific engine and workload.
Looking for engine-specific performance tuning? PostgreSQL → MySQL → MongoDB →
Performance Audit Results
The 6-Phase Database Performance Audit
Most "performance fixes" are guesswork: add an index, bump the memory, hope it gets faster. JusDB uses a structured methodology that starts with measurement, not assumptions — identifying the highest-impact changes before touching anything.
Workload Capture
We capture your real query workload using slow query logs, pg_stat_statements, MongoDB Atlas profiler, or Cassandra tracing. We identify the top 20 queries by total wall time — the ones where optimisation will have the largest impact.
Query Profiling & EXPLAIN
For each high-cost query, we run EXPLAIN ANALYZE (or engine equivalent), identify full table scans, type conversions, sort spillovers, and bad join orders. We produce a prioritised list of query rewrites and index changes.
Index Architecture Review
We audit your entire index set: missing indexes on frequently filtered columns, redundant indexes consuming write I/O, wrong index types (B-tree vs GIN vs partial). Index bloat causes slower reads and heavier writes — we fix both.
Schema & Data Model Review
The schema is often where performance debt hides. Wide rows, unbounded TEXT columns, missing foreign key indexes, N+1 query patterns from ORM misuse — we surface and fix the root cause, not just the symptom.
Connection & Resource Tuning
Connection pool exhaustion causes latency spikes that look like slow queries. We tune max_connections, pool sizes (PgBouncer, ProxySQL, Mongos), buffer pool sizes, shared_buffers, and InnoDB settings to match your actual workload.
Hardware & Storage Sizing
A query that needs 200MB of working set will be fast if that fits in buffer pool — and 100x slower if it hits disk. We model your dataset, hot set size, and I/O profile to validate whether your current instance type and storage are correctly sized.
Database Coverage
The same systematic audit process, applied with engine-specific depth. JusDB has performance audit experience across 8 database engines.
MySQL
InnoDB tuning, slow query log, query cache removal, Percona Toolkit
PostgreSQL
EXPLAIN ANALYZE, pg_stat_statements, autovacuum tuning, partial indexes
MongoDB
Atlas profiler, aggregation pipeline optimisation, index coverage, WiredTiger cache
Cassandra
Read/write path optimisation, compaction strategy, partition key design, SSTables
SQL Server
Query Store, execution plans, columnstore indexes, TempDB contention
MariaDB
Query profiler, Aria engine tuning, ColumnStore for analytics, thread pool
Redis
Memory fragmentation, keyspace analysis, pipeline batching, Lua script audit
Aerospike
Namespace sizing, batch read optimisation, index tuning, storage engine config
What You Receive from a Performance Audit
Query Performance Report
Top 20 queries by total cost, with EXPLAIN output, proposed rewrites, and expected improvement estimate for each.
Index Audit
Full index inventory: missing indexes, redundant indexes (with I/O cost), bloated indexes, and wrong index types. Ordered by impact.
Configuration Recommendations
Engine parameter changes with rationale: buffer pool size, max_connections, autovacuum settings, work_mem — tailored to your hardware and workload.
Schema Improvement Plan
Specific schema changes: column type corrections, partition strategy, normalisation opportunities, and ORM-generated N+1 queries to eliminate.
What makes JusDB different
- We audit any database — you don't need to engage 4 different consultants for your 4 databases
- We start with your worst queries, not a checkbox compliance report
- Every recommendation is quantified: expected latency improvement, I/O reduction, or cost saving
- We implement the fixes, not just deliver a document — optional hands-on implementation engagement
- We validate improvements before closing the engagement: before/after benchmarks, not just EXPLAIN estimates
- We leave behind runbooks for the changes we made so your team understands the rationale
FAQ
Stop guessing. Start measuring.
JusDB audits your database performance from query to hardware — any engine, any cloud — and delivers ranked, quantified recommendations with implementation support.