Set clear objectives like response time, throughput, and scalability benchmarks aligned with business requirements.
Select critical user journeys or system processes that require testing under load (e.g., login, checkout).
Establish load levels such as number of users, transaction volumes, and peak usage times.
Create a testing environment that mirrors production, including servers, databases, and network configurations.
Choose suitable tools like JMeter, LoadRunner, or Gatling based on your project needs and tech stack.
Generate realistic test data that simulates actual user interactions and system usage patterns.
Develop scripts that automate user actions and simulate load on the system.
Run baseline, load, stress, and endurance tests to evaluate system behavior under various conditions.
Track key metrics (CPU, memory, response times) and identify performance bottlenecks or system failures.
Apply fixes or optimizations based on findings and re-run tests to validate improvements.