Performance Testing in a nutshell

Performance testing is a type of software testing that evaluates the system's ability to handle various workloads and measure its responsiveness, speed, scalability, and stability under varying conditions. Here are some of the types of performance testing:

Load Testing: This type of testing is used to determine how well the system handles the expected maximum user load. It involves simulating a large number of users, transactions, and requests to identify any performance issues.

Stress Testing: This type of testing is used to determine the system's ability to handle an unexpected workload or surge in traffic. It involves testing beyond the system's capacity limits to see how it behaves and recovers from these conditions.

Spike Testing: This type of testing is similar to stress testing but focuses on a sudden increase in traffic, rather than a sustained one.

Endurance Testing: This type of testing is used to determine how well the system performs over a long period of time. It involves testing the system's stability and resource usage under sustained load.

Scalability Testing: This type of testing is used to determine how well the system can handle an increasing workload by adding more resources such as hardware, software, or network components.

Volume Testing: This type of testing is used to determine the system's ability to handle a large amount of data. It involves testing the system's performance under varying data volumes.

Soak Testing: This type of testing is used to determine how well the system performs under normal conditions over an extended period of time. It involves testing the system's stability and resource usage over a prolonged period.

These types of performance testing help identify performance bottlenecks and ensure that the system is capable of handling the expected workload and user traffic.

Performance key indicators are metrics used to measure the performance of a system. These metrics help to identify performance issues and bottlenecks, and monitor the system's performance over time. Some of the common performance key indicators are:

Response Time: Response time measures how long it takes for the system to respond to a user request. It includes the time required to process the request, retrieve data, and send the response back to the user.

Throughput: Throughput measures the rate at which the system can process transactions or requests. It indicates how many requests the system can handle per unit of time.

Error Rate: Error rate measures the number of errors or failures that occur during a given period. It indicates how often the system fails to process requests or transactions.

CPU Utilization: CPU utilization measures the percentage of CPU resources that are being used by the system. It indicates how much of the CPU's processing power is being utilized by the system.

Memory Utilization: Memory utilization measures the percentage of memory resources that are being used by the system. It indicates how much of the system's memory is being utilized by the applications and processes.

Network Latency: Network latency measures the time it takes for data to travel between two points on a network. It indicates how long it takes for data to be transmitted from the user to the server and back.

Availability: Availability measures the percentage of time that the system is available to users. It indicates how often the system is operational and accessible to users.

These performance key indicators help to monitor the system's performance, identify performance issues, and ensure that the system meets the required performance standards.