performance-testing

To identify performance bottlenecks, run load testing to simulate high user traffic and measure response times, throughput, and error rates. This pinpoints whether issues reside in the database, API, or server resources.

Load testing simulates normal user traffic to measure response times and throughput under expected conditions, while stress testing pushes systems beyond their limits to find breaking points and understand recovery mechanisms.

You run a load test with 100 concurrent users for 60 seconds by configuring a performance testing tool to simulate desired traffic against your target endpoint, such as example.com, and analyzing the resulting metrics.

During application performance testing, monitor key metrics like response time, throughput, and error rates. These metrics help evaluate application speed and stability under various load conditions.

Use soak testing to evaluate system stability over an extended period under normal load, while spike testing assesses how the system handles sudden extreme increases in user traffic. Both help uncover different performance bottlenecks.

Yes, you can use cloud-based testing platforms and profiling tools to identify and resolve performance bottlenecks. These tools provide comprehensive methodologies for simulating traffic and analyzing system resources.