Under Pressure
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Any online project – be it a long-lost blog, or a new start-up’s web app – has a very important performance feature called a “maximum load”. This indicator makes itself known when a web app either partially or fully fails to perform its assigned functions to process user requests. For some owners, this may mean losing a portion of their blog-reading audience, and for others, it may mean the loss of clients who opt for a product from a competitor whose online store is up and running.
Each online resource has its own maximum load when it comes to the number of user requests it can process at any one time. That’s why developers and web app owners devote special attention to load procedures and stress tests.
Load testing services today are useful, but sometimes the way they are set up leaves a loophole that malicious users can take advantage of.
Load and stress testing
Data system load testing is a procedure that evaluates the performance features of the system being tested without reaching maximum load. Stress testing, on the other hand, is a similar procedure, but it tests the system with loads at or exceeding maximum load. In most cases, stress tests lead to unwanted behavior by the system being tested, or a service failure – similar to what happens in DDoS (distributed denial of service) attacks.
Load test scenarios used on data systems.
