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System Design Interview: Zero to Hero. Learn How to Pass Your System Design Interview Following Modern Case Studies.

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Even during times of a global pandemic, the software industry is at an all-time high . Several entrepreneurs are recreating their visions with the help of complex computers that can perform tasks for them. From e-commerce shopping to augmented reality, there are literally countless applications and domains now in the software industry. System design has a bright future ahead, and anyone who is fascinated by distributed systems should read this book.

Passing the system design interviews is essential to landing you a well-paying job in this field. And honestly, they can be pretty tough. It's no wonder why many people feel extremely nervous when going in for their interviews.

But, don't worry – we’re here to help!

With this book, you'll learn everything you need to know about how to pass these interviews with ease. It deep dives into the specifics of modern apps system designs so that you can go above and beyond by covering all the bases.
It also follows modern case studies and provides all the information you need to know in order to ace your interview!

In this guide, you will start covering the
And then you will learn how to prepare your System Design Interview for these cases
Land your dream job in no time!: Acing your system designs interview will propel your career forward! Impress future employers and have THEM call YOU! With information explained so well, even toddlers could pass!

Scroll up, Click on “Buy Now”, and Get Your Copy Now!

122 pages, Hardcover

Published March 29, 2022

7 people are currently reading
15 people want to read

About the author

Liam Taylor

30 books3 followers

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Displaying 1 - 2 of 2 reviews
Profile Image for Michael Burnam-Fink.
1,702 reviews304 followers
April 21, 2022
Having recently done poorly on a few system design interviews, I'm kicking myself for not doing the sensible thing and doing my research first. System design is something which is inherently hard to get to from hobby programming, and there's a big difference between something that runs once in a Jupyter Notebook to something that reliably serves millions of requests daily worldwide.

The contents cover the high level system design of web services you know and possibly love, like Twitter, Whatsapp, Youtube, and Tiktok. There's some decent discussion of how to calculate resource requirements based on users and data per transaction. There are also some very good pragmatic points about the importance of sharding and caching in systems which tend to be governed by power laws. Basically, recent and popular content is going to be served way more often that the major of uploads, so for read-heavy systems, you want to find a way to spread popular content across different shards, rather than overloading one server with your biggest accounts, and to keep popular content cached in Redis rather than a conventional disk-based database.

Conversely, there's also a little bit of "you get what you pay for", and while the models are useful explanations, there's not much theory about why you should make the choices that you're making, or how to think systematically about analysis of the system as a whole.
56 reviews2 followers
May 31, 2022
This is an overview and comprehensive for modern design (popular/well-known) applications in the example, and because they are examples and not in the scope of the book so this book will not satisfy readers who want to know deeply in hard-code technical.

In my opinion, this book provided enough basic knowledge for any system design and explain the advantages and disadvantages of design, answer the question for stable running, optimizing (at least running smoothly) complex tasks, besides recognition and resolving issues and thinking in-depth for estimating and tasks (very popular but complex).

Asking to clarify and clear requirements are the most important and skills to truly understand and satisfy of customers.

I learn a lot and quickly knowledge and experiences for system design from scale, sharding, estimate process.
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