Performance Analysis
Performance analysis focuses on measuring and evaluating the technical performance of cloud systems, such as response times, throughput, resource utilization (CPU, memory, network, storage), and scalability. The goal is to identify bottlenecks in the infrastructure, applications, or services and optimize them for better efficiency and reliability.
This is crucial because performance directly affects user experience and operational costs; slow response times or service disruptions can lead to poor user experience and business losses. A cloud solution that performs consistently under expected and peak loads provides a more reliable and satisfactory experience for users. Moreover, good performance analysis prevents technical issues (such as service outages or degradation) from impacting business operations and helps optimize resource usage and costs.
Starting Points
Key Points
- You demonstrate the ability to use monitoring and profiling tools (e.g., CloudWatch, Prometheus, Grafana, Datadog) to measure and visualize system performance.
- You identify concrete performance bottlenecks (such as high latency due to network issues, CPU throttling, or memory leaks) and propose possible optimizations.
- You apply recognized standards or guidelines, e.g., using service level objectives (SLOs), performance benchmarks, and best practices for cloud optimization, and substantiate improvements with measurement results.