Diving Deeper into the CAP Theorem

As a fresh graduate exploring the vast landscape of Computer Science, I find myself particularly intrigued by principles that serve as the backbone of the digital world. The CAP Theorem, known as Brewer’s Theorem, is one such principle that provides fundamental guidelines when designing distributed systems. In this blog post, I will try to shed some light on this intricate topic in a comprehensible manner.

What is CAP Theorem?

The CAP Theorem is a concept in distributed computing that states a distributed data store cannot simultaneously provide all three of the following guarantees:

1. Consistency: Every read receives the most recent write or an error.
2. Availability: Every request receives a response, without guarantee that it contains the most recent write.
3. Partition tolerance: The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.

In simpler terms, when designing distributed systems, we can only guarantee two out of these three properties at any given time. This trade-off has significant implications on the design and usability of distributed systems.

Demystifying Web Infrastructure and Technologies: A Comprehensive Guide

Introduction

From our everyday interactions with various web applications to the seamless flow of data across platforms, the internet’s vast landscape thrives on numerous technologies working in harmony. As a technology enthusiast, I embarked on a quest to better understand this intricate fabric of interconnected technologies. In this blog, I aim to unravel my findings and offer you a peek into the enigmatic realms of the internet, covering a wide range of topics from the basic to the advanced. The following tutorial video.

Operating Systems

I’m learning system design and want to post a overview about operating system based on my understanding: File Systems, Virtual Memory, Memory Paging, and Instruction Execution Cycle

Table of Contents

1. Introduction

2. File Systems

3. Virtual Memory

4. Memory Paging

5. Instruction Execution Cycle

6. Conclusion