PostgreSQL PerformanceTuning & Optimization

Dramatically improve your PostgreSQL database performance with our proven optimization methodology. Guaranteed results with measurable improvements.

85%
Average Query Speed Improvement
60%
Resource Utilization Reduction
99.9%
Client Satisfaction Rate

Common PostgreSQL Performance Issues

Identify and resolve the root causes of PostgreSQL performance bottlenecks

Slow Queries
  • • Long-running SELECT statements
  • • Inefficient JOIN operations
  • • Missing or unused indexes
  • • Poor query planning
High CPU Usage
  • • Inefficient query execution
  • • Excessive table scans
  • • Poor connection management
  • • Inadequate caching
Memory Issues
  • • Incorrect shared_buffers sizing
  • • Poor work_mem allocation
  • • Memory leaks in connections
  • • Inefficient sort operations
I/O Bottlenecks
  • • Disk I/O saturation
  • • Poor WAL configuration
  • • Inefficient checkpoint settings
  • • Storage performance issues

Our PostgreSQL Performance Optimization Methodology

Systematic approach to identifying and resolving PostgreSQL performance bottlenecks

1

Performance Baseline Assessment

Comprehensive analysis of current PostgreSQL performance metrics, query patterns, and system resource utilization.

Query Analysis

  • • pg_stat_statements review
  • • Slow query identification
  • • Execution plan analysis

System Metrics

  • • CPU and memory usage
  • • I/O performance metrics
  • • Connection statistics

Configuration Review

  • • postgresql.conf analysis
  • • Parameter optimization
  • • Best practice compliance
2

Query Optimization

Deep dive into query performance with execution plan analysis and optimization recommendations.

-- Before Optimization
EXPLAIN (ANALYZE, BUFFERS) SELECT * FROM orders o
JOIN customers c ON o.customer_id = c.id
WHERE o.created_at > '2024-01-01';
Execution time: 2847.123 ms
-- After Optimization
CREATE INDEX CONCURRENTLY idx_orders_created_customer
ON orders(created_at, customer_id);
Execution time: 23.456 ms (99.2% improvement)
3

Index Strategy Optimization

Comprehensive index analysis and optimization for maximum query performance.

Index Analysis
  • Unused index identification
  • Missing index recommendations
  • Composite index optimization
  • Partial index strategies
Index Types
B-tree indexes
Primary
GIN indexes
JSON/Arrays
GiST indexes
Geometric
Hash indexes
Equality
4

Configuration Tuning

PostgreSQL parameter optimization based on workload characteristics and hardware specifications.

Memory Settings
shared_buffers
work_mem
maintenance_work_mem
WAL Settings
wal_buffers
checkpoint_segments
checkpoint_completion_target
Query Planner
random_page_cost
effective_cache_size
default_statistics_target

Real Performance Improvements

Measurable results from our PostgreSQL optimization projects

E-commerce Platform
Product Search Optimization
Before
Average Query Time: 3.2s
CPU Usage: 85%
Concurrent Users: 500
After
Average Query Time: 0.2s
CPU Usage: 35%
Concurrent Users: 2000
94% Faster
Query Performance
SaaS Analytics
Reporting Dashboard Optimization
Before
Report Generation: 45min
Memory Usage: 16GB
Database Size: 2TB
After
Report Generation: 3min
Memory Usage: 8GB
Database Size: 1.2TB
93% Faster
Report Generation
FinTech Application
Transaction Processing Optimization
Before
Transactions/sec: 1,200
Lock Waits: 15%
Response Time: 800ms
After
Transactions/sec: 8,500
Lock Waits: 2%
Response Time: 120ms
600% More
Transaction Throughput

Performance Improvement Guarantee

We guarantee measurable performance improvements or your money back. Our track record speaks for itself.

50%+
Minimum Query Speed Improvement
30 Days
Money-Back Guarantee Period
24/7
Post-Optimization Support
Contact us at contact@jusdb.com or call us at +91-9994791055