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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

Load balancers

Load balancing distributes workload across multiple computing resources, such as servers, CPUs, hard drives, and network links, to achieve optimal resource utilization, maximize throughput, minimize response time, and avoid overload. Figure 4.5 shows a load balancer connected to clients on one end and a pool of server machines on the other end.

Figure 4.5: Load balancer

Figure 4.5: Load balancer

The following are some key points about load balancing:

  • It allows the spread of a huge amount of traffic across multiple servers so that no single server gets overloaded.
  • It improves fault tolerance by failing over (i.e., retrying the failed requests from failed or slowed-down servers to functioning servers).
  • It increases overall service availability since requests can still be serviced by the functioning servers even if some servers fail.
  • It can enable a graceful degradation of performance during periods of high load instead of a complete failure of the...
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System Design Guide for Software Professionals
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