Performance testing ensures that a website or application performs optimally under varying workloads. The scalability, stability and speed are assessed through the performance testing process. In order to effectively test the performance aspects of an application, performance test metrics should be implemented. These metrics provide a viable and tactical strategy that can increase the efficiency of performance testing. In this article, you will get to know a few important examples of performance testing metrics.
What is performance testing?
It is a testing method that is performed to ensure that a software product or application can perform as per the required expectations under varying workloads.
Following are the nine examples of performance testing metrics:
1. The amount of CPU used: The amount of CPU utilization is evaluated in this metric. If the CPU utilization is high, then there will be issues in performance. Monitoring alerts can be used to easily track down CPU usage. The performance can be enhanced by monitoring the CPU usage. In order to understand and analyze the performance, the CPU usage should be below 70%.
2. The Latency factor: The time taken is indicated for the first response. At times, Latency is also referred to as a wait metric. The time taken for receiving the first byte is measured as a response. The performance levels of the web servers are measured by latency metrics.
3. Ascertaining the connections per second: The specific information about the TCP/IP connections that open and close every second is provided by the “connections per second” metric. If the number of hits per second is higher than the number of connections per second, then it means that the performance is at an optimal level.
4. Calculating the response time: The total time taken between sending a request and receiving a response is calculated. If the response time is faster, then it also means that the performance is at a higher end.
5. Determining whether the transaction has passed or failed: It is important to know the number of transactions that have failed or passed during the performance testing process. The total number of successful and unsuccessful attempts is calculated.
6. The amount of memory used: The amount of memory that is required to process a request is determined using this performance testing metric. Specific information about the amount of memory used during the execution is provided by this performance testing metric.
7. Throughput: The amount of bandwidth that has been used during the performance testing process is measured. The rate at which a computer or a network receives the request per second is indicated. Kilobytes per second are used for measuring the throughput rate.
8. Collecting Garbage: The different performance-related issues are made aware of using this metric. Specific information about the amount of memory that has been unused is returned to the system. Performance and efficiency can be enhanced by monitoring garbage collection.
9. The number of concurrent users: The number of users using an application or web server at a specific time impacts the performance. The number of active users at a given point in time is measured using this metric.
The effectiveness of an application or website is enhanced through the strategic implementation of the performance testing process. The above mentioned nine performance test metrics should be understood and implemented as and when required during the testing process for obtaining beneficial results. When the right performance testing metric is implemented, then a more robust, high-performing and scalable software product can be expected.
Conclusion: If you are looking forward to implementing performance testing for your specific project, then do get connected with a world renowned software testing services company that will provide you with tactical testing solutions that justify your project specific requirements.
About the author: I am a technical content writer focused on writing technology specific articles. I strive to provide well-researched information on the leading market savvy technologies.
No comments:
Post a Comment