I had two cases in my practice where pipes were slow. Both related to developing a filesystem.
1. Logging. At first our tools for reading the logs from a filesystem management program were using pipes, but they would be overwhelmed quickly (even before it would overwhelm pagers and further down the line). We had to write our own pager and give up on using pipes.
2. Storage again, but a different problem: we had a setup where we deployed SPDK to manage the iSCSI frontend duties, and our component to manage the actual storage process. It was very important that the communication between these two components be as fast and as memory-efficient as possible. The slowness of pipes comes also from the fact that they have to copy memory. We had to extend SPDK to make it communicate with our component through shared memory instead.
So, yeah, pipes are unlikely to be the bottleneck of many applications, but definitely not all.
1. Logging. At first our tools for reading the logs from a filesystem management program were using pipes, but they would be overwhelmed quickly (even before it would overwhelm pagers and further down the line). We had to write our own pager and give up on using pipes.
2. Storage again, but a different problem: we had a setup where we deployed SPDK to manage the iSCSI frontend duties, and our component to manage the actual storage process. It was very important that the communication between these two components be as fast and as memory-efficient as possible. The slowness of pipes comes also from the fact that they have to copy memory. We had to extend SPDK to make it communicate with our component through shared memory instead.
So, yeah, pipes are unlikely to be the bottleneck of many applications, but definitely not all.