performance-testing

You can run a load test using k6, Artillery, or JMeter to simulate high-traffic scenarios and monitor application response times. This Skill evaluates latency, throughput, and error rates to help identify performance bottlenecks under stress.

Stress testing determines the breaking point of an application under extreme conditions. By simulating extreme traffic loads with k6 or JMeter, you can validate system limits and identify exactly when and how your application fails.

Yes, you must have k6, Artillery, or JMeter installed in your environment to execute the performance testing scripts. The framework relies on these dependencies to generate traffic and evaluate system scalability.

Yes, Artillery can be configured for endurance testing to identify long-term stability issues and potential memory leaks. By running sustained traffic over extended periods, you can monitor resource utilization and detect gradual degradation.

Scalability testing validates your application's ability to handle increasing traffic by gradually ramping up the load. Using k6 or JMeter, you can measure how throughput and latency respond as user volume scales up.

High error rates during bottleneck analysis indicate performance issues within the application stack under high traffic. By monitoring latency and throughput metrics, you can pinpoint the specific components causing requests to fail.