What methods and tools are used for load testing in real conditions?

Load testing in real conditions is carried out using specialized tools that simulate the behavior of a large number of users or requests to the system. Main methods and tools:

• Load generation tools: JMeter, Locust (Python), Gatling, k6. They allow creating request scenarios, configuring the number of virtual users, and measuring performance.
• Real-time monitoring: using monitoring systems (Prometheus, Grafana) to track CPU, memory, delays, errors during testing.
• Testing in a production-like environment: running load tests on dedicated stands that closely resemble real conditions.
• Methods: gradual increase of load (stress testing), prolonged testing under high load (soak testing), testing peak loads.

Example of using Locust for API load testing in Python:

from locust import HttpUser, task, between

class WebsiteUser(HttpUser):
    wait_time = between(1, 5)

    @task
    def index(self):
        self.client.get("/")

    @task(3)
    def about(self):
        self.client.get("/about")

Running such a test will simulate user behavior and measure server response under load.