Mastering Concurrency in Go: From Patterns to Production
summary
Explains concrete concurrency recipes in Go with code and production uses: a worker pool implemented with goroutines plus waitgroups and a buffered semaphore channel to cap concurrency without idle workers; graceful shutdown driven by context and waitgroup when consuming from Kafka; pipeline stages wired by channels for image processing; fan-out/fan-in that aggregates per-task channels and preserves ordering with a channel-of-channels ordering trick used in Kubernetes; examples show these patterns running in real services and writing results to S3.
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chapters (8)
- 0:00Introduction and context
- 1:33Go concurrency foundations
- 2:23Worker pool patterns
- 9:26Practical worker applications
- 11:45Pipeline pattern
- 16:02Fan-out and fan-in
- 19:49Maintaining order with channels
- 23:24Conclusion and wrap-up
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