Performance Analysis

Performance analysis focuses on measuring and evaluating the technical performance of digital business solutions, such as response times, throughput, resource utilization (CPU, memory, database), and scalability. The goal is to identify bottlenecks in the code, infrastructure, or business processes and optimize the system for efficiency and user satisfaction.

This is crucial because performance directly affects user experience and business operations; slow response times or system outages can lead to frustrated users, decreased productivity, and potential revenue loss. A digital solution that consistently meets performance SLAs (Service Level Agreements) provides a more reliable experience for users and supports business continuity. Moreover, good performance analysis prevents technical issues from impacting business operations and helps in capacity planning.

Starting Points

• Performance Testing Complete Guide (BlazeMeter)
• Application Performance Monitoring (New Relic)
• Benchmark test (ICT Research Methods)

Key Points

• You demonstrate the ability to use monitoring and performance testing tools (e.g., JMeter, New Relic, Prometheus) to measure and visualize system performance.
• You identify concrete performance bottlenecks (such as slow database queries, inefficient API calls, or resource-intensive processes) and propose viable optimizations.
• You apply recognized standards or guidelines, e.g., performance SLAs, industry benchmarks, and best practices for optimization, and substantiate improvements with measurement results.