A performance test team recently completed a simulated load test on a new e-commerce application hosted in the public cloud environment. The test was a 50% load test and produced the following…

Reducing resources on a database server is highly unlikely to improve performance for a full load and would likely cause further bottlenecks, making this a poor recommendation.

If a 50% load test has been conducted, the implication is to determine what changes are needed for a full load, so assuming no changes are needed without further context goes against the purpose of such a test.

This recommendation implies that the 50% load test results highlighted the middleware (MW) tier as a potential bottleneck or the component that needs scaling to accommodate the remaining load. Adding servers to a specific tier like middleware is a common horizontal scaling strategy to distribute increased traffic and processing demands effectively for a full load scenario.

While memory can be a bottleneck, this specific action of doubling memory on a web server might not be the most effective or appropriate scaling strategy compared to adding more instances, especially if another tier like middleware was the identified bottleneck.