High-Performance Go Concurrency: From Goroutines to Scalable Backend Architectures
Master high-performance backend concurrency by understanding the mechanics of Go's M:N scheduler and goroutine runtime. You will design, synchronize, and debug resilient, race-free concurrency pipelines and worker pool architectures under heavy server loads.
- Средний
- Около 9,8 часа
- English
- 8 модулей
- 16 уроков
- 27 вопросов теста
Автор Learnvoro Labs
Чему вы научитесь
- Compare operating system kernel thread scheduling overhead with Go's cooperative user-space coroutines to diagnose concurrency bottlenecks under high traffic.
- Explain how the Go runtime M:N scheduler leverages work-stealing, network pollers, and sysmon preemption to manage goroutine lifecycles efficiently.
- Implement safe goroutine lifecycle management and channel synchronization patterns, including fan-out, fan-in, bounded worker pools, and pipeline stages.
- Apply context propagation across concurrent operations to enforce timeouts, propagate request-scoped metadata, and handle graceful cascade cancellations.
- Detect and eliminate data races and memory visibility hazards using the Go race detector, sync primitives, and atomic memory operations.
- Design robust, high-throughput concurrency architectures capable of preventing goroutine leaks and managing backpressure in distributed backend systems.
Как вы будете учиться
- Пошаговые уроки16 уроков
- ВидеоурокиСлушайте во время учёбы
- Наглядные схемыНаглядные идеи
- Подробные материалы для чтения
- Проверка знаний27 вопросов теста
Предварительные требования
- Proficiency in basic Go syntax, interfaces, and error handling
- Familiarity with standard backend networking and HTTP service development
- Basic conceptual understanding of processes, threads, and asynchronous execution
Для кого этот курс
- Backend software engineers with Go experience looking to architect low-latency, scalable services using production-grade concurrency patterns.
Содержание курса
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