Performance

Performance is a key metric for any software system. It is also an important part of cloud design. In performance design, scalability must be considered as it is vital to high performance. In addition, solution selection, performance measurement, performance monitoring, and performance trade-off must also be considered.

Factors that affect the performance of cloud applications

Compute latency: the wait time between operations and a direct reflection of cloud computing performance
Network throughput: the rate at which data is processed
Transmission throughput (bytes/second or bit/second): a key measure of performance
Storage input/output operations per second (IOPS): a measure of data transmission
Data concurrency: the ability to run multiple programs at the same time

Solution selection

Select and combine the solutions that best suit your needs.
Upgrade solution selection methods and optimize the selection of resources and configurations through data.

Performance measurement

Configure performance measurement and monitoring metrics.
Enable performance tests to be triggered automatically after the fast-running test is complete.
Use data visualization to identify performance issues, hot topics, waiting states, or low utilization.

Performance monitoring

Determine the monitoring scope, metrics, and thresholds.
Create a full view from multiple dimensions.

Performance tradeoffs

Strike a balance in the architecture for better performance, for example by using compression or caching techniques.

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