NodeJS Deep Dive: Mastering Internals & System Interactions

Have you been working with NodeJS for a while but don't really understand it?

Discover how Node.js truly works under the hood by exploring its internal mechanisms and its interaction with the operating system. This course goes beyond basic usage, providing knowledge of process management, memory handling, and concurrency. You’ll learn how Node.js efficiently handles I/O operations, manages threads, and utilizes system resources to deliver high-performance applications. By understanding these core concepts, you’ll be able to write more optimized, scalable, and reliable Node.js applications.

What You’ll Learn:

Operating System Fundamentals:

• The role of RAM, Hard Drive, and CPU in program execution

• Programs vs. Processes and different process states

• Multi-programming and efficient resource utilization

• Preemptive vs. Non-preemptive Scheduling explained

• The Program Counter and its significance

• How Context Switching works behind the scenes

The role of RAM, Hard Drive, and CPU in program execution

Programs vs. Processes and different process states

Multi-programming and efficient resource utilization

Preemptive vs. Non-preemptive Scheduling explained

The Program Counter and its significance

How Context Switching works behind the scenes

Node.js Internals:

• Understanding V8 and how it executes JavaScript

• The role of Libuv in handling asynchronous operations

• Compilation vs. Interpretation and JIT (Just-in-Time) Compilation

Understanding V8 and how it executes JavaScript

The role of Libuv in handling asynchronous operations

Compilation vs. Interpretation and JIT (Just-in-Time) Compilation

Concurrency & Performance Optimization:

• I/O Tasks vs. CPU Tasks and how Node.js handles Non-blocking I/O

• Using Child Processes to offload work

• Scaling with Clusters

• Worker Threads for parallel execution

• Understanding and mitigating Race Conditions

I/O Tasks vs. CPU Tasks and how Node.js handles Non-blocking I/O

Using Child Processes to offload work

Scaling with Clusters

Worker Threads for parallel execution

Understanding and mitigating Race Conditions