1. Thorough Analysis of Database Bottlenecks

• We begin with a complete performance audit using PostgreSQL tools and runtime metrics.
• Our experts evaluate CPU, memory, I/O throughput, cache hit ratios, and lock contention to find what’s holding your database back.
• We correlate database issues with Odoo workloads to ensure tuning efforts target the most impactful areas.

2. Intelligent Configuration Tuning

• PostgreSQL’s default settings are rarely optimal for production systems. We fine-tune critical parameters such as:

  1. work_mem, shared_buffers, effective_cache_size

  2. WAL settings (wal_buffers, checkpoint_timeout, etc.)

  3. Autovacuum behavior and parallel execution settings

• Adjustments are based on your actual hardware, dataset size, and Odoo usage patterns — not just general best practices.

3. Index Optimization & Execution Planning

• We review existing indexes for redundancy and effectiveness, and recommend new ones where needed to accelerate access paths.
• Execution plans (EXPLAIN ANALYZE) are examined to find expensive operations like sequential scans, nested loops, or large sort operations.
• We fine-tune queries and suggest ORM-level improvements to align with the optimized database strategy.

4. Comprehensive Performance Report

• At the end of the tuning process, we provide a detailed report outlining:

  1. All changes made and their justifications

  2. Before-and-after benchmarks showing performance gains

  3. Long-term recommendations for ongoing performance health

• This gives your team clear insight into the improvements and how to maintain them.