Eliminate Bottlenecks with Expert Optimization
Slow ERP performance costs time and money. ThanksERP specializes in deep-dive performance tuning for ODOO and large-scale ERP systems. We optimize every layer—from the database to the browser—to ensure a snappy, productive experience for your team.
Speed Optimization Layers
We leave no stone unturned in our quest for maximum system speed
Database Tuning (PostgreSQL)
We optimize long-running queries, handle vacuuming strategies, and tune database parameters to ensure your database stays fast as your data grows.
- ✅ Slow Query Identification
- ✅ Indexing Strategies
- ✅ Connection Pooling (PgBouncer)
- ✅ Memory & Cache Tuning
Application Code Profiling
Our experts use advanced profiling tools to find inefficient loops, redundant API calls, and memory leaks in your custom modules.
- ✅ Python Profiling (cProfile)
- ✅ ORM Optimization
- ✅ Cache Mechanism Implementation
- ✅ Background Task Offloading
Server & Infrastructure Scaling
We configure load balancers, multi-worker setups, and high-performance web servers (Nginx) to handle sudden traffic spikes and large user bases.
- ✅ Load Balancing (HAProxy)
- ✅ Master-Slave DB Replication
- ✅ Redis/Memcached Caching
- ✅ Vertical & Horizontal Scaling
Frontend & UI Optimization
Browser-side performance matters. We optimize heavy JS assets, implement lazy loading, and compress images to ensure the UI feels responsive.
- ✅ Network Payload Reduction
- ✅ JS/CSS Minification
- ✅ CDN Integration
- ✅ Dashboard Load Optimization
Performance Roadmap
Our systematic approach to identifying and eliminating throughput bottlenecks.
Baseline Instrumentation
Deploying deep-stack monitoring (Datadog/New Relic) to record existing latency across the DB, application, and network layers.
Bottom-Up Indexing
Optimizing the PostgreSQL engine through refined indexing, connection pooling, and expensive query refactoring.
Application Code Profiling
Using sampling profilers to pinpoint inefficient ODOO computed fields and redundant ORM lookups in custom modules.
Load Balancing & Caching
Implementing Redis session stores and Nginx micro-caching to handle 10x concurrent user growth with zero lag.
USA Performance Labs
Local technical leads managing high-load architectures across North America.
Architecture Tuning (EST/CST)
Engineering Support (MST/PST)
Advanced Cache Architecture
Multiple layers of data caching to minimize disk I/O and SQL overhead
Record-Level Caching
The Mechanism: Utilization of ODOO's internal 'LRU' (Least Recently Used) cache to store frequently accessed model data in RAM, bypassing the database for repeat requests.
Distributed Session Store
The Mechanism: Moving user sessions from the filesystem to a high-speed Redis cluster. This allows for seamless session sharing across multiple ODOO workers and improves filesystem performance.
Query Result Caching
The Mechanism: Implementation of a middleware cache layer for expensive, non-volatile analytical queries (like Year-to-Date sales), reducing computation time from seconds to milliseconds.
System Efficiency Benchmarks
Technical performance standard we strive to maintain for high-load systems
Our target for complex JOIN queries across millions of records.
Ensuring the server starts responding almost instantly during peak traffic.
Capable of handling mass-user events without system degradation.
Our Optimization Toolkit
We use enterprise tools and custom scripts to tune your system
Monitoring & Profiling
- New Relic / Datadog: For real-time application performance monitoring.
- pg_stat_statements: Deep analysis of SQL query performance.
- py-spy: Sampling profiler for ODOO backend.
Caching & Middleware
- Redis: High-performance distributed caching.
- Nginx: Optimized for high-concurrency file serving.
- PgBouncer: Efficient connection pooling.
Diagnostics
- Iostat / Vmstat: Identifying hardware and disk I/O bottlenecks.
- Wireshark: Debugging network-level latency issues.
- Lighthouse: Auditing frontend responsiveness.
Target Performance KPIs
The metrics we aim for in every optimization project
Page Load Time
Our goal is to keep all primary ERP dashboards loading in under 2 seconds.
Cache Hit Rate
We tune Redis and ODOO's internal cache to ensure data is served from memory.
DB Query Response
We optimize SQL indexes so that 99% of queries complete in less than 50ms.
Technical Performance Deep-Dive
Addressing complex scalability and responsiveness questions
How do you determine ODOO worker processes?
We use (CPU * 2) + 1, adjusted for RAM. We balance cron vs. HTTP workers to prevent resource contention.
Approach to heavy SQL reports?
We analysis with 'EXPLAIN ANALYZE', then optimize via better indexing, Materialized Views, or Python refactoring.
Is Your ERP Slow?
Tell us your performance challenges and we'll provide a high-level audit and optimization plan.
info@thankserp.co