Feature: Load Testing with Gatling
Description
Implement a load testing suite using Gatling to evaluate the system's performance and stability under stress. This issue focuses on simulating high-traffic scenarios to ensure the application remains available and responsive, fulfilling the "Load testing" requirement in the evaluation criteria.
Requirements
- Gatling Setup: Configure the Gatling environment (Java/Scala/Kotlin) within the project repository.
- Core Scenarios: Define simulation scripts that mimic typical user behavior, such as:
- Multiple users registering and logging in simultaneously.
- High frequency of 'play' API requests using YEN notation.
- Concurrent access to user history and statistics.
- Performance Metrics: Identify bottlenecks and measure response times, error rates, and requests per second.
Tasks
Technical Notes
- Target: The tests should target both the TypeScript Web API and the Rust module's web service interface.
- Data: Use representative board states in YEN notation to ensure the logic processing is accurately stressed.
- Reporting: Gatling will automatically generate HTML reports; these should be saved for the project documentation.
Evaluation Criteria Alignment
- Testing: Directly addresses the "Load testing" requirement.
- Deployment: Ensures the system meets the "Availability" quality attribute.
- Documentation: The results and ADRs regarding performance optimizations will be included in the final delivery.
Feature: Load Testing with Gatling
Description
Implement a load testing suite using Gatling to evaluate the system's performance and stability under stress. This issue focuses on simulating high-traffic scenarios to ensure the application remains available and responsive, fulfilling the "Load testing" requirement in the evaluation criteria.
Requirements
Tasks
playmethod and the Rust module interface).Technical Notes
Evaluation Criteria Alignment