Under the Hood: Operating Systems

OS theory connected to what actually shows up in production and in interviews — processes, memory, scheduling, I/O. Linux-leaning, with C examples.

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01Chapter 1: Why OS Fundamentals Matter to Application Engineers 02Chapter 2: Processes, Threads, and the Process Lifecycle 03Chapter 3: The Memory Hierarchy: Registers to Disk 04Chapter 4: CPU Scheduling Algorithms 05Chapter 5: Memory Management I: Paging and Segmentation 06Chapter 6: Memory Management II: Virtual Memory and Page Replacement 07Chapter 7: File Systems: How Data Is Actually Stored and Retrieved 08Chapter 8: Interprocess Communication: Pipes, Shared Memory, Message Queues, Sockets 09Chapter 9: I/O Management and Interrupts 10Chapter 10: Deadlocks at the OS Level: Conditions, Prevention, Detection, Recovery 11Chapter 11: Virtualization and Containers: A Conceptual Introduction 12Chapter 12: When OS Abstractions Leak: Failure Modes Application Engineers Actually Hit 13Chapter 13: Walkthrough: What Happens When You Run a Program 14Chapter 14: Common OS Interview Questions: Paging, Page Faults, and Deadlock Scenarios 15Chapter 15: OS Concepts in System Design and Production Debugging

Other tracks

Python DSA — Course Python DSA — Interview Prep Python DSA — Beginner Python Syntax & DSA Reference Git Mastery Cognitive Skills & Mental Tools Code Optimization Rules Objects First: OOP Fundamentals Patterns of Good Design How the Bytes Travel: Networking Data at Rest, Data in Motion: Databases Sharing Time: Concurrency & Multithreading Clean by Default: Coding Standards The Review: Code Review From Idea to Production: the SDLC Designing at Scale: System Design Whiteboard to Blueprint: HLD & LLD Built to Last: Reliability & Scaling Tell Me About a Time: Behavioral Interviews