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.

📌 Resources & Links:  
🔗 Original video: https://www.codeheim.io/courses/Episode-84-Concurrency-in-Web-Applications-67f49c4b926da42867cc7f9c

📌 Key Takeaway: “Every HTTP request is concurrent by default — you're already doing concurrency in Go!”

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Discover how concurrency works in Go web applications, focusing on the use of goroutines and channels. Learn about the concurrency model in Go's net/http and Gin frameworks, and understand best practices for handling background tasks efficiently. Explore the advantages of using established background processing systems like Factory, Async, or RabbitMQ for managing heavy operations.

#84 Golang - Concurrency in Go Web Applications: From net/http to Background Workers