Performance Analysis

Performance analysis focuses on measuring and evaluating the technical performance of a back-end, such as CPU-load, loading times, memory usage. The goal is to identify bottlenecks in the back-end architcture and make the back-end run more smoothly under different circumstances.

This is crucial because performance directly affects availability; a low or inconsistent performance of the back-end can lead to noticeable stuttering and a poor experience in the front-end. Moreover, good performance analysis prevents technical issues (such as long loading times or crashes) from frustrating the user.

Starting Points

• Performance Testing (todo)
• Load Testing (todo)
• Soak Testing (todo)
• Stress Testing (todo)
• Benchmark test (ICT Research Methods)

Key Points

• You demonstrate the ability to use profiler and benchmarking tools (e.g., Unity Profiler, Unreal Insights) to measure and visualize performance.
• You identify concrete performance bottlenecks (such as low FPS due to GPU overload or memory leaks) and name possible optimizations.
• You apply recognized standards or guidelines, e.g., using target frame rates (30/60 FPS) and best practices for optimization, and substantiate improvements with measurement results.

Page Info

• Version 1.0
• Last updated: 30.09.2025
• Updated by: GS