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⏱ 2 jam 42 mnt📚 27 pelajaran🎧 Versi audio
Go Concurrency Patterns: Mastering Fan-In and Fan-Out
Learn to coordinate goroutines and channels to build highly efficient, concurrent data pipelines in Go.
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Tentang kursus ini
Writing concurrent programs is one of the most powerful aspects of Go, but managing multiple tasks without causing bottlenecks or resource leaks requires structured patterns. This course teaches you how to design, implement, and optimize the Fan-In and Fan-Out concurrency patterns using Go's native primitives. You will learn to safely distribute workloads across multiple goroutines and merge independent data streams back into a unified flow.
By completing this text-only program, you will transform your approach to asynchronous programming in Go, moving from basic goroutines to resilient, production-ready pipeline architectures.
What you'll learn:
- Understand the core principles of Go concurrency, including goroutines, channels, and select statements
- Implement the Fan-Out pattern to distribute intensive computational tasks across multiple worker goroutines
- Apply the Fan-In pattern to consolidate multiple concurrent data streams into a single channel
- Manage goroutine lifecycles safely using context cancellation and wait groups to prevent resource leaks
- Practice handling errors and timeouts within concurrent pipelines to ensure system stability
- Structure clean, readable, and maintainable asynchronous code using modern Go conventions
This course starts with foundational concurrency concepts, explaining how channels communicate and synchronize before moving step-by-step into complex pipeline designs. You will study practical code examples that demonstrate real-world scenarios, complete with analysis of common pitfalls like deadlocks and race conditions.
This course is designed for Go developers who understand basic syntax and want to build a solid, practical foundation in concurrent system design. No prior experience with advanced concurrency patterns is required.
Start reading today to build faster, more reliable concurrent applications in Go.
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