Summary

In this chapter, we covered different dimensions of performance and scalability and mentioned a few essential metrics that measure how well a system performs and scales. We emphasized the importance of performance tests, several types of performance tests, and how to plan one. We also provided an example of micro-benchmarking in Kotlin before discussing the use of a profiler to achieve better performance.

Then, we delved into some strategies for performance improvement. We considered a scenario where only necessary expensive operations were executed. We also looked at an example of a journey of performance improvement for a system in a real-life situation. This allowed us to consider a few best practices regarding performance in Kotlin through code examples.

Finally, we briefly introduced ultra-low latency systems and where they can be used.

In the next chapter, we’re going to discuss the topic of software testing.