Performance Testing Metrics: What to Measure

Manish Saini
2 min readNov 7, 2023

In the world of software testing, performance testing holds a critical role. It allows us to assess how well a system performs under specific conditions. However, to get meaningful insights from performance tests, it’s crucial to focus on the right metrics.

Here are some key performance testing metrics you should consider:

1. Response Time: This metric measures the time taken by the system to respond to a user request. It’s a crucial indicator of system performance as users expect prompt responses.

2. Throughput: Throughput is the number of requests a system can handle per unit of time. It helps in understanding the system’s capacity and scalability.

3. Error Rate: This metric indicates the percentage of failed requests. A high error rate can indicate potential issues in the system that need attention.

4. Concurrent Users: Knowing how many users can simultaneously access the system without a significant drop in performance is vital. This helps in planning for scalability.

5. CPU Utilization: Monitoring CPU usage during performance testing can uncover potential bottlenecks. High CPU usage may suggest the need for optimization.

6. Memory Utilization: Understanding how the system utilizes memory resources is crucial…

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Manish Saini
Manish Saini

Written by Manish Saini

Enabling Productivity in Testing | Consultant | SDET | Python | API Testing | Continuous Testing | Performance Testing | Framework Design