Скачать с ютуб #54 Golang - Concurrency - Resource Management with sync.Pool в хорошем качестве

#54 Golang - Concurrency - Resource Management with sync.Pool

In this video, we explore how to use sync.Pool in Go to manage resources efficiently. By reusing expensive-to-create objects like buffers and slices, we can minimize memory allocations and reduce pressure on the garbage collector—key for building high-performance applications. In this video, we cover: What is sync.Pool? Basics of how sync.Pool works Real-world examples of reusing []byte slices Efficient handling of resources with multiple goroutines using the pool Dos amd Don'ts By the end of this video, you’ll see how sync.Pool reduces expensive allocations and boosts performance in high-load applications. 🔗 Timestamps 00:00-01:30: Introduction to sync.Pool and how it works  01:30-03:27: Example: Using sync.Pool   03:27-05:25: Concurrent Access with Goroutines   05:25-06:26: Counting Allocations and Performance Benefits   06:26-06:44: Key Takeaways 06:44-07:20: Conclusion Resources: Original Video: https://www.codeheim.io/courses/Episo... Source code: https://github.com/code-heim/go_54_sy... If you’re looking to make your Go applications more efficient, this is a must-watch!   🔔 Don’t forget to like, subscribe, and hit the bell icon for more Go programming tutorials. Happy coding! #golang #syncpool #resourceoptimization #golangtutorial #concurrency #goprogramming #highperformance #codingtips #golangconcurrency ------------------------------------------------------------------------------------------------------------------------- Buy my book 'Functional Programming with Go' here: Amazon India: https://amzn.to/3VTUlxl Amazon US: https://www.amazon.com/Functional-Pro... BPB Online (BPB): https://in.bpbonline.com/products/fun...