Summary

In this chapter of the book, we presented various advanced Go topics related to benchmarking, performance, and efficiency. Remember that benchmark results can be influenced by various factors such as hardware, compiler optimizations, and workload. It is important to interpret the results carefully and rationally while considering the specific conditions under which the benchmarks are run.

In this chapter, we learned that Go has automatic memory management, which means that the language runtime takes care of memory allocation and deallocation for you. The primary components of Go’s memory management are garbage collection, automatic memory allocation, and a runtime scheduler.

This chapter also presented a very powerful technology, eBPF. If you are using Linux machines, then you should definitely learn more about eBPF and how to use it with Go. The eBPF framework has gained popularity due to its versatility and the ability to address a wide range of use cases...