Concurrency is the key to designing high performance network services. Go's concurrency primitives (goroutines and channels) provide a simple and efficient means of expressing concurrent execution. In this talk we see how tricky concurrency problems can be solved gracefully with simple Go code.

Some Notes

• Concurrency is not parallelism
  • Go support concurrency across multiple cpu cores, which is called parallelism
• Example of running the search function to search web,image and video concurrently
  • with no lock, no condition variable and no callbacks
  • with ability to limite maximum wait time, and return the searched result among web, image and video.
• The video used Go's concurrency primitives to convert
  • from slow, sequential and failure sensitive program
  • to fast, concurrent, replicated and robust program