Last Mile Delivery App - Massive PostgreSQL Performance Improvement 

How Stormatics Enhanced Odoo Performance by 1,000x across 75 queries in under 15 hours

A renowned last-mile delivery app, utilizing Odoo as its CRM, encountered significant performance issues that severely impacted daily operations. These performance bottlenecks disrupted report generation and customer data management, leading to delays and inefficiencies in the overall business process. After internal troubleshooting failed to resolve the problem, the client turned to Stormatics for a solution.

The Challenge

The last mile delivery app’s Odoo-based CRM system, built onPostgreSQL, was suffering from substantial slowdowns attributed to the database, with reporting delays ranging from 1 to 5 minutes. The client had tried various internal methods to address the issues, but the system’s performance remained subpar, affecting critical business operations. A fast and effective solution was needed to restore operational efficiency and ensure the CRM could keep pace with growing customer demands.

Root Cause Analysis and Resolution

Stormatics applied a systematic approach to identify and solve the problem. The following were determined as the core areas for performance improvement:

◾ Optimizing Vacuum Processes: Vacuum tuning was applied to streamline the database, preventing performance degradation  caused by data bloat.
◾ Adjusting Indexing and Parameters: Indexing and parameter adjustments were made to resolve bottlenecks related to data retrieval, significantly improving the app’s system responsiveness.

The Stormatics Solution

The Stormatics team focused on the identified critical areas to resolve the underlying performance issues by:

◾ Query Optimization: 75 slow-running queries were identified and their data flow was optimized, significantly reducing query processing times.
◾ Vacuum Tuning: Vacuum processes were fine-tuned to ensure the database remained lean and free from unnecessary table bloat.
◾  Indexing Tuning: Appropriate indexing was implemented to speed up the 75 slow-running queries, balancing between performance and unnecessary bloat.
◾ Parameter Adjustments: PostgreSQL configuration parameters were tuned to match the workload and the hardware resources available to the system, resulting in improved performance.

Unmatched Results

The results were immediate and transformative:
◾ A 1000x increase in throughput, allowing the CRM to handle significantly more data without slowdowns.
◾ Drastically improved report generation and customer management,reducing operational delays.

Conclusion

After Stormatics’ initial intervention, the food delivery app experienced a significant boost in performance, with optimized Odoo CRM efficiency and faster reporting. Impressed by the results, the client has returned to Stormatics for further assistance in addressing new slowdowns as their system grows. Their continued trust in Stormatics highlights the team’s reputation for delivering effective solutions and ongoing support to ensure optimal PostgreSQL performance.