1. Track Query Performance & Detect Bottlenecks

• Continuously monitor slow-running queries, lock wait events, and resource-intensive operations.
• Identify patterns that degrade performance over time—such as inefficient joins, unindexed filters, or large sequential scans.

2. Set Up Automated Alerts for Critical Database Events

• Deploy monitoring stacks like Prometheus with Grafana, or pgwatch2, to trigger alerts for issues such as:
  

  1. High replication lag

  3. Disk space nearing capacity

  4. Long-running or blocked transactions

  5. Sudden drops in query throughput

3. Monitor Connection Pools & Session Usage

• Use PgBouncer to streamline and optimize connection handling between Odoo and PostgreSQL.
• Track session counts, idle connections, and pool usage in real-time to prevent overload and improve response time under high traffic.

4. Generate Optimization Reports & Health Dashboards

• Build custom dashboards and periodic reports that visualize key performance metrics.
• Provide actionable insights into query tuning, index usage, and configuration adjustments needed to keep your Odoo system optimized.