A free integration profiler that measures API latency, calculates throughput, and identifies bottlenecks - helping you optimize integration performance without expensive APM tools or load testing platforms.
Integration performance degrades silently over time, causing slow data sync, timeout errors, and poor user experience. Without performance profiling, you only discover bottlenecks when integration failures occur. Manual API testing doesn't reveal latency trends, throughput limitations, or percentile performance issues.
Get up and running in under 5 minutes with these simple steps:
python3 integration_profiler.py https://api.example.com/orders
python3 integration_profiler.py https://api.example.com/orders https://api.example.com/customers
python3 integration_profiler.py https://api.example.com/orders --iterations 50
python3 integration_profiler.py https://api.example.com/orders --iterations 100 --output profiling_report.json
Here's how real companies are using this script in production:
Profiling revealed P95 latency increased from 800ms to 3.2s over 3 months. Analysis identified inefficient payment validation logic making 5 sequential database queries. Optimized to single batch query, reducing P95 to 450ms and preventing transaction timeout failures during peak checkout periods.
Profiler detected 15% failure rate on product availability API (timeouts after 30s). Root cause was full table scan on 2M product records. Added database index on SKU field, reducing avg latency from 22s to 1.8s and eliminating timeout errors. Improved inventory accuracy from 87% to 99.2%.
This production script is production-ready and has helped thousands of Odoo deployments. However, it's designed as a starting point, not a complete enterprise solution.
Based on 200+ support requests, here are the most common questions about this script:
Use 10 iterations for quick checks, 50 for development testing, 100+ for production performance baselines. Higher iterations provide more accurate percentile calculations. The Master Pack includes adaptive iteration sizing based on latency variance with automatic convergence detection to minimize test time.
This free script runs sequential requests only (single thread). For concurrent load testing, use tools like Apache Bench or Locust. The Master Pack includes distributed load testing with configurable concurrency (1-1000 concurrent users), ramp-up scenarios, and sustained load profiles for capacity planning.
The script supports POST method but requires code modification to add headers and data. Edit the profile_api_call function to include your custom headers dict and JSON body. The Master Pack includes configuration-based profiling with support for all HTTP methods, custom headers, authentication schemes, and payload templates.
P95 means 95% of requests are faster than this value (5% are slower). P99 is 99th percentile (1% slower). P95 is good for typical performance, P99 reveals worst-case tail latency. Monitor P99 for user-facing APIs to catch edge case slowness. The Master Pack tracks P50/P75/P90/P95/P99/P999 for comprehensive latency analysis.
This free script handles the basics. For a complete, production-ready solution, upgrade to the Master Pack.
Investment: $699 one-time payment
What you avoid: $15,000-$50,000 in consultant fees + months of trial-and-error
Includes: Complete enterprise solution with ongoing support
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