Every millisecond matters when building high-performance applications—but I/O operations are silently draining your speed. In this video, we unpack why Input/Output tasks (like disk access, network calls, or database queries) are painfully slow compared to CPU or RAM operations. You'll learn how blocking I/O can cripple your threads, why spawning more threads is not the magical fix it seems, and how Event Demultiplexers (like epoll, kqueue, IOCP) solve the core issue. If you're working with Node.js, Java, or backend systems and want to understand how modern platforms like libuv handle I/O efficiently, this breakdown is for you. Don’t let your app hang—learn how to beat I/O bottlenecks once and for all.
/ bytemonk
📌 Timestamps
00:00 Introduction – Why I/O Operations Matter
00:27 What Is I/O? – Disk, Network & User Interactions
00:39 Why I/O Is Slow – Hardware & Bandwidth Bottlenecks
01:16 Blocking I/O – The Real Thread Killer
01:54 More Threads - More Performance – The Myth
02:48 Enter the Event Demultiplexer – Multiplexing to the Rescue
03:48 OS-Level Solutions – epoll, kqueue, IOCP
• System Design Interview Basics
• System Design Questions
• LLM
• Machine Learning Basics
• Microservices
• Emerging Tech
AWS Certification:
AWS Certified Cloud Practioner: • How to Pass AWS Certified Cloud Practition...
AWS Certified Solution Architect Associate: • How to Pass AWS Certified Solution Archite...
AWS Certified Solution Architect Professional: • How to Pass AWS Certified Solution Archite...
#multithread #systemdesign #distributedsystems #epoll #kqueue
