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Waitgroups: What they are, how to use them and what changed with Go 1.25
Imagine the following problem: you need to process hundreds of records and generate a single output. One way to solve this is to process each record sequentially and unify the output only at the end. However, this can be extremely slow, depending on the time spent processing each record. Another way is to process them concurrently, speeding up the overall time. In my post about introduction to concurrency, I talked a bit about goroutines and channels. Now, I’ve decided to talk about waitgroups, a way to simplify the management of multiple goroutines.
Imagine the following problem: you need to process hundreds of records and generate a single output. As the increment and decrement are now handled automatically, the problems mentioned above no longer exist, and it has indeed become even simpler to work concurrently. Before version 1.25, if your application ran on Kubernetes, you needed to use a library like automaxprocs to get a valid CPU value for goroutines.
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