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Instructor: Amrit Pal SinghLanguage: English
Mastering Concurrency in Go Web Applications | Learn how Go handles concurrency with ease—from handling HTTP requests with net/http and Gin Gonic, to offloading long-running tasks using background job systems like Asynq and Faktory.
In this video, we dive deep into how Go’s powerful concurrency model helps you build scalable and high-performance web applications. You’ll discover:
✅ How net/http and Gin handle requests concurrently
✅ Why spawning goroutines inside handlers can be risky
✅ The role of worker pools and pipeline patterns in real-world applications
✅ How to use background systems like Faktory, Asynq, or RabbitMQ to process heavy tasks
✅ Practical insights into when and where to use concurrency patterns effectively
Whether you’re building a REST API, handling background jobs, or just curious how Go scales so well under load, this video is for you.
📌 Key Takeaway: “Every HTTP request is concurrent by default — you're already doing concurrency in Go!”