Stress Test Report

Stress Test Report

  • Project Name: Online Banking Application

  • Date: November 25, 2050

  • Prepared By: [Your Name]

  • Version: 1.0

1. Objective

The primary objective of this stress test is to evaluate the performance and stability of the online banking application under extreme user load conditions. The goal is to identify the maximum capacity of the system and ensure it can handle peak traffic without degradation in performance.

2. Test Environment

Hardware:

  • Server: 4 CPUs, 16GB RAM

  • Network: 1 Gbps bandwidth

Software:

  • Application Version: 2.5.1

  • Database: PostgreSQL 13

  • Load Testing Tool: JMeter 5.4

4. Methodology

  • Test Scenario: Simulate 5,000 concurrent users performing the following actions:

    • Logging into the application

    • Checking account balance

    • Transferring funds

    • Logging out

  • Duration: 1 hour

  • Load Pattern: Ramp-up time of 10 minutes, followed by a steady load for 40 minutes, and a gradual ramp-down over 10 minutes.

5. Results

Metric

Value

Peak Concurrent Users

5,200

Average Response Time

2.5 seconds

Max Response Time

10 seconds

Error Rate

2%

CPU Utilization

85%

Memory Utilization

70%

Database Transactions/sec

120

6. Analysis

  • Performance: The system maintained an average response time of 2.5 seconds under a load of 5,200 users. However, at peak times, the response time spiked to 10 seconds, indicating potential bottlenecks during high traffic.

  • Error Rate: The error rate of 2% suggests that some requests failed during peak usage, which could be attributed to insufficient server resources or database contention.

  • Resource Utilization: CPU utilization reached 85%, indicating that the application is close to its maximum capacity. Further optimization may be required to improve performance.

7. Recommendations

  • Scaling: Consider scaling up the server resources (CPU/RAM) or implementing load balancing to distribute traffic more effectively.

  • Optimization: Review application code and database queries to identify and optimize any inefficient processes.

  • Monitoring: Implement real-time monitoring tools to track system performance and user activity during peak times.

8. Conclusion

The stress test revealed that while the online banking application can handle a substantial load, there are areas for improvement, particularly concerning response times and error rates under peak usage. Implementing the recommended changes will enhance the application's performance and reliability during high-traffic periods.

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