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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By : Dhirendra Sinha, Tejas Chopra
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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By: Dhirendra Sinha, Tejas Chopra

Overview of this book

Building scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies. This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you’ll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways. By the end of this book, you’ll be equipped with unique techniques and the confidence to solve any coding interview question.
Table of Contents (21 chapters)
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1
Part 1: Foundations of System Design
5
Part 2: Core Components of Distributed Systems
10
Part 3: System Design in Practice

Distributed Cache

In the rapidly evolving landscape of modern computing, the demand for scalable, high-performance systems has become paramount. As applications grow in complexity and user bases expand, traditional approaches to data retrieval and storage may encounter bottlenecks that hinder overall performance. One of the most effective strategies to enhance performance is the implementation of caching. Caching involves temporarily storing copies of data in locations closer to the user or application, thereby reducing access time and improving efficiency. At its core, caching is a technique used to store frequently accessed data in a high-speed data storage layer. This storage layer, or cache, can be located in various places, such as in memory (RAM), on a disk, or even in a network. By keeping a subset of data in these faster access locations, systems can significantly reduce the latency experienced when fetching data, leading to improved application performance and user experience...

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System Design Guide for Software Professionals
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