Memory Management Basics in Operating Systems
Learn the fundamentals of operating system memory management, including virtual memory, paging, the stack versus the heap, and how memory leaks occur.
Strengthen CS fundamentals: DSA, system design, networks, and operating systems.
Learn data structures and algorithms with clear explanations, complexity analysis, and practice problems.
5 articles
SDDesign scalable systems covering load balancing, caching, databases, and architecture patterns.
3 articles
CNUnderstand networking fundamentals: OSI model, TCP/IP, HTTP, DNS, and security basics.
2 articles
OSExplore OS concepts including processes, threads, memory management, and file systems.
2 articles
Learn the fundamentals of operating system memory management, including virtual memory, paging, the stack versus the heap, and how memory leaks occur.
Understand the difference between processes and threads in operating systems, including memory isolation, context switching, and when to use multiprocessing...
A deep dive into how HTTP and HTTPS work, covering request/response structure, methods, status codes, headers, and how TLS secures HTTP traffic today.
A clear explanation of the OSI model's seven layers, what each layer actually does, and how real-world protocols like HTTP, TCP, and Ethernet map onto them.
Learn the fundamentals of load balancing in system design, including load balancing algorithms, health checks, layer 4 vs layer 7 balancing, and common failu...
Explore common caching strategies used in system design, including cache-aside, write-through, write-back, and cache invalidation approaches, with trade-offs...
A step-by-step system design walkthrough for building a URL shortener like bit.ly, covering requirements, encoding strategies, database schema, and scaling c...
Understand how hash tables achieve near-constant time lookups, how hash functions and collision handling work, and common interview patterns that rely on them.
A practical explanation of core sorting algorithms including bubble sort, merge sort, and quicksort, with time complexity comparisons and when to use each.
An introduction to binary trees covering traversal methods, binary search trees, common operations, and recursive patterns every beginner should understand.
A clear introduction to linked lists covering singly and doubly linked lists, common operations, and classic interview patterns like cycle detection and reve...
Master arrays and strings for coding interviews with core patterns like two pointers, sliding window, and prefix sums, explained with complexity analysis and...