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Engine-Agnostic Performance Audit

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

72%
Median query latency reduction
across 40 client engagements
88%
P99 latency improvement
for OLTP workloads after index audit
60%
Database CPU reduction
after query and schema changes
3–5×
Connection pool efficiency gain
after PgBouncer / ProxySQL tuning

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.

1

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.

MySQL slow query logpg_stat_statementsMongoDB Atlas ProfilerCassandra tracing
2

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.

EXPLAIN ANALYZE (PG)MySQL EXPLAIN FORMAT=JSONMongoDB explain()Cassandra TRACING ON
3

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.

pg_stat_user_indexesMySQL sys.schema_index_statisticsMongoDB index statsUnused index detection
4

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.

Schema diff toolingORM query analysisNormalisation reviewPartition strategy
5

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.

PgBouncer tuningProxySQL configInnoDB buffer poolPostgreSQL shared_buffers
6

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.

iostat / perf analysisBuffer pool hit rateIOPS modellingMemory sizing calculator

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.