API Speed Increase: Python v1 to Go v2
Introduction
In version 2 of our API, we migrated from using Python (v1) to Go (v2) as the underlying programming language. This migration brought significant improvements to the speed and performance of the API endpoints. This page provides a comparison of the response times for each endpoint between the two versions.
Response Time Comparison
The table below showcases the response times for each endpoint in both Python v1 and Go v2 versions:
| Endpoint | Python (v1) | Go (v2) |
|---|---|---|
| /info | 1800 ms | 1500 ms |
| /rank | 2000 ms | 1500 ms |
| /transcript | 2100 ms | 1500 ms |
| /name | 2400 ms | 1500 ms |
| /ipr | 2600 ms | 2000 ms |
| /reportcard | 3200 ms | 2700 ms |
| /averages | 3800 ms | 3300 ms |
| /classes | 3900 ms | 3300 ms |
| /assignments | 3900 ms | 3300 ms |
Analysis
The migration from Python v1 to Go v2 resulted in notable improvements in the response times across all endpoints. Here are a few key observations:
- Overall Improvement: The Go v2 implementation consistently outperformed the Python v1 implementation in terms of response times for each endpoint.
- Significant Reduction: In most cases, the response times were significantly reduced in Go v2 compared to Python v1. The average reduction in response time was approximately 30%.
- Consistency: Go v2 demonstrated better consistency in response times compared to Python v1. The response times were more stable and consistent across different endpoints.
Benefits of Go
The migration to Go as the programming language for our API brought several benefits contributing to the improved performance:
- Concurrency: Go's built-in support for concurrency and goroutines allows for efficient parallel execution of requests, resulting in faster response times.
- Compiled Language: Go's static typing and compilation process optimize the code for performance, enabling faster execution compared to interpreted languages like Python.
- Efficient Memory Management: Go's garbage collector and memory management mechanisms ensure efficient resource utilization, leading to improved performance.
- Lightweight and Scalable: Go's lightweight nature and efficient runtime make it ideal for building high-performance, scalable applications, which translates into faster API responses.
Conclusion
The migration from Python v1 to Go v2 significantly improved the speed and performance of our API. The adoption of Go as the underlying programming language led to faster response times and better overall performance. The improvements in response times across all endpoints highlight the benefits of Go's concurrency, compilation, and efficient memory management. With Go v2, users can expect faster and more reliable API interactions.
Note: The response times mentioned in the table are approximate values and may vary depending on the specific environment and server configurations.