Performance Metrics
Performance metrics measure the speed, efficiency, and stability of your software.
1. Response Time
Description: The time it takes for a system to respond to a user request.
Formula:
- Measured in milliseconds or seconds.
Additional Information:
- Low response time indicates good performance.
- It’s crucial for user experience.
- It can be measured using tools like load testing software.
2. Throughput (Performance)
Description: The number of requests or transactions a system can handle per unit of time.
Formula:
- Measured in requests per second or transactions per second.
Additional Information:
- High throughput indicates system capacity.
- It’s important for handling high traffic.
- It helps identify performance bottlenecks.
3. Error Rate
Description: The percentage of requests that result in errors.
Formula:
Error Rate = (Number of errors / Total number of requests) * 100%
Additional Information:
- Low error rate indicates system stability.
- It’s crucial for reliability.
- It helps identify system problems.
4. Resource Utilization
Description: Measures the utilization of system resources (CPU, memory, etc.).
Formula:
- Measured as a percentage of total resource capacity.
Additional Information:
- High utilization can indicate performance bottlenecks.
- It helps optimize resource allocation.
- It helps to predict future needs.
5. Latency
Description: The time it takes for data to travel from one point to another.
Formula:
- Measured in milliseconds or seconds.
Additional Information:
- Low Latency is important for real time application.
- High latency is a problem for online gaming, and video streaming.