system design interview book review

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• Scaling applications to support heavy traffic
• Distributed transactions techniques to ensure data consistency
• Services for functional partitioning such as API gateway and service mesh
• Common API paradigms including REST, RPC, and GraphQL
• Caching strategies, including their tradeoffs
• Logging, monitoring, and alerting concepts that are critical in any system design
• Communication skills that demonstrate your engineering maturity

about the technology

About the book, what's inside.

• Insights on scaling, transactions, logging, and more
• Practice questions for core system design concepts
• How to demonstrate your engineering maturity
• Great questions to ask your interviewer

about the reader

About the author.

Deconstructs the system design interview and presents each component in an accessible manner for new job seekers as well as seasoned engineers. The attention to detail makes this book a must have. Mohammad Shafkat Amin, Meta

Comprehensively covers the most common topics, along with helpful tips and advice. It gives you all the tools you need to ace your next system design interview. Rajesh Kumar, Google

The practical advice and real world examples in this book will help you master the art of system design and succeed in your next interview. Kevin Goh, PayPal

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Book description

• Scaling applications to support heavy traffic
• Distributed transactions techniques to ensure data consistency
• Services for functional partitioning such as API gateway and service mesh
• Common API paradigms including REST, RPC, and GraphQL
• Caching strategies, including their tradeoffs
• Logging, monitoring, and alerting concepts that are critical in any system design
• Communication skills that demonstrate your engineering maturity
• Insights on scaling, transactions, logging, and more
• Practice questions for core system design concepts
• How to demonstrate your engineering maturity
• Great questions to ask your interviewer

Table of contents

• Inside front cover
• acknowledgments
• Who should read this book
• How this book is organized: A roadmap
• liveBook discussion forum
• Other online resources
• about the author
• about the cover illustration
• 1.1 A discussion about tradeoffs
• 1.2 Should you read this book?
• 1.3 Overview of this book
• 1.4.1 The beginning: A small initial deployment of our app
• 1.4.2 Scaling with GeoDNS
• 1.4.3 Adding a caching service
• 1.4.4 Content distribution network
• 1.4.5 A brief discussion of horizontal scalability and cluster management, continuous integration, and continuous deployment
• 1.4.6 Functional partitioning and centralization of cross-cutting concerns
• 1.4.7 Batch and streaming extract, transform, and load (ETL)
• 1.4.8 Other common services
• 1.4.9 Cloud vs. bare metal
• 1.4.10 Serverless: Function as a Service (FaaS)
• 1.4.11 Conclusion: Scaling backend services
• 2.1 Clarify requirements and discuss tradeoffs
• 2.2.1 Common API endpoints
• 2.3 Connections and processing between users and data
• 2.4.1 Example of the disadvantages of multiple services sharing databases
• 2.4.2 A possible technique to prevent concurrent user update conflicts
• 2.5.1 The importance of monitoring
• 2.5.2 Observability
• 2.5.3 Responding to alerts
• 2.5.4 Application-level logging tools
• 2.5.5 Streaming and batch audit of data quality
• 2.5.6 Anomaly detection to detect data anomalies
• 2.5.7 Silent errors and auditing
• 2.5.8 Further reading on observability
• 2.6.1 Introduction
• 2.6.2 Search bar implementation with Elasticsearch
• 2.6.3 Elasticsearch index and ingestion
• 2.6.4 Using Elasticsearch in place of SQL
• 2.6.5 Implementing search in our services
• 2.6.6 Further reading on search
• 2.7.1 Maintaining and extending the application
• 2.7.2 Supporting other types of users
• 2.7.3 Alternative architectural decisions
• 2.7.4 Usability and feedback
• 2.7.5 Edge cases and new constraints
• 2.7.6 Cloud-native concepts
• 2.8.1 Write your reflection as soon as possible after the interview
• 2.8.2 Writing your assessment
• 2.8.3 Details you didn’t mention
• 2.8.4 Interview feedback
• 2.9 Interviewing the company
• 3.1.1 Stateless and stateful services
• 3.1.2 Basic load balancer concepts
• 3.2 Availability
• 3.3.1 Replication and redundancy
• 3.3.2 Forward error correction and error correction code
• 3.3.3 Circuit breaker
• 3.3.4 Exponential backoff and retry
• 3.3.5 Caching responses of other services
• 3.3.6 Checkpointing
• 3.3.7 Dead letter queue
• 3.3.8 Logging and periodic auditing
• 3.3.9 Bulkhead
• 3.3.10 Fallback pattern
• 3.4 Performance/latency and throughput
• 3.5.1 Full mesh
• 3.5.2 Coordination service
• 3.5.3 Distributed cache
• 3.5.4 Gossip protocol
• 3.5.5 Random Leader Selection
• 3.6 Accuracy
• 3.7.1 Continuous deployment (CD)
• 3.9 Security
• 3.10.1 External vs. internal services
• 3.11 Cloud native
• 3.12 Further reading
• 4.1 Brief prelude on storage services
• 4.2 When to use vs. avoid databases
• 4.3.1 Distributing replicas
• 4.3.2 Single-leader replication
• 4.3.3 Multi-leader replication
• 4.3.4 Leaderless replication
• 4.3.5 HDFS replication
• 4.3.6 Further reading
• 4.4.1 Sharded RDBMS
• 4.5.1 Single-tier aggregation
• 4.5.2 Multi-tier aggregation
• 4.5.3 Partitioning
• 4.5.4 Handling a large key space
• 4.5.5 Replication and fault-tolerance
• 4.6.1 A simple batch ETL pipeline
• 4.6.2 Messaging terminology
• 4.6.3 Kafka vs. RabbitMQ
• 4.6.4 Lambda architecture
• 4.7 Denormalization
• 4.8.1 Read strategies
• 4.8.2 Write strategies
• 4.9 Caching as a separate service
• 4.10 Examples of different kinds of data to cache and how to cache them
• 4.11.1 Browser cache invalidation
• 4.11. 2 Cache invalidation in caching services
• 4.12 Cache warming
• 4.13.1 Caching references
• 5.1 Event Driven Architecture (EDA)
• 5.2 Event sourcing
• 5.3 Change Data Capture (CDC)
• 5.4 Comparison of event sourcing and CDC
• 5.5 Transaction supervisor
• 5.6.1 Choreography
• 5.6.2 Orchestration
• 5.6.3 Comparison
• 5.7 Other transaction types
• 5.8 Further reading
• 6.1.1 Security
• 6.1.2 Error-checking
• 6.1.3 Performance and availability
• 6.1.4 Logging and analytics
• 6.2 Service mesh/sidecar pattern
• 6.3 Metadata service
• 6.4 Service discovery
• 6.5.1 Basic system design of an app
• 6.5.2 Purposes of a web server app
• 6.5.3 Web and mobile frameworks
• 6.6.1 Language specific vs. technology-agnostic
• 6.6.2 Predictability of latency
• 6.6.3 Predictability and reproducibility of behavior
• 6.6.4 Scaling considerations for libraries
• 6.6.5 Other considerations
• 6.7.1 The Open Systems Interconnection (OSI) model
• 6.7.3 RPC (Remote Procedure Call)
• 6.7.4 GraphQL
• 6.7.5 WebSocket
• 6.7.6 Comparison
• 7.1 User stories and requirements
• 7.3 SQL database schema
• 7.4 Initial high-level architecture
• 7.5 A monolith architecture
• 7.6 Using an SQL database and object store
• 7.7 Migrations are troublesome
• 7.8 Writing and reading posts
• 7.9 Functional partitioning
• 7.10 Caching
• 7.12 Scaling reads with a SQL cluster
• 7.13 Scaling write throughput
• 7.14 Email service
• 7.15 Search
• 7.16 Removing old posts
• 7.17 Monitoring and alerting
• 7.18 Summary of our architecture discussion so far
• 7.19.1 Reporting posts
• 7.19.2 Graceful degradation
• 7.19.3 Complexity
• 7.19.4 Item categories/tags
• 7.19.5 Analytics and recommendations
• 7.19.6 A/B testing
• 7.19.7 Subscriptions and saved searches
• 7.19.8 Allow duplicate requests to the search service
• 7.19.9 Avoid duplicate requests to the search service
• 7.19.10 Rate limiting
• 7.19.11 Large number of posts
• 7.19.12 Local regulations
• 8.1 Alternatives to a rate-limiting service and why they are infeasible
• 8.2 When not to do rate limiting
• 8.3 Functional requirements
• 8.4.1 Scalability
• 8.4.2 Performance
• 8.4.3 Complexity
• 8.4.4 Security and privacy
• 8.4.5 Availability and fault-tolerance
• 8.4.6 Accuracy
• 8.4.7 Consistency
• 8.5 Discuss user stories and required service components
• 8.6 High-level architecture
• 8.7 Stateful approach/sharding
• 8.8.1 High-level architecture
• 8.8.2 Synchronizing counts
• 8.9.1 Token bucket
• 8.9.2 Leaky bucket
• 8.9.3 Fixed window counter
• 8.9.4 Sliding window log
• 8.9.5 Sliding window counter
• 8.10 Employing a sidecar pattern
• 8.11 Logging, monitoring, and alerting
• 8.12 Providing functionality in a client library
• 8.13 Further reading
• 9.1.1 Not for uptime monitoring
• 9.1.2 Users and data
• 9.1.3 Recipient channels
• 9.1.4 Templates
• 9.1.5 Trigger conditions
• 9.1.6 Manage subscribers, sender groups, and recipient groups
• 9.1.7 User features
• 9.1.8 Analytics
• 9.2 Non-functional requirements
• 9.3 Initial high-level architecture
• 9.4 Object store: Configuring and sending notifications
• 9.5.1 Notification template service
• 9.5.2 Additional features
• 9.6 Scheduled notifications
• 9.7 Notification addressee groups
• 9.8 Unsubscribe requests
• 9.9 Handling failed deliveries
• 9.10 Client-side considerations regarding duplicate notifications
• 9.11 Priority
• 9.12 Search
• 9.13 Monitoring and alerting
• 9.14 Availability monitoring and alerting on the notification/alerting service
• 9.15 Other possible discussion topics
• 9.16 Final notes
• 10.1 Why is auditing necessary?
• 10.2 Defining a validation with a conditional statement on a SQL query’s result
• 10.3.1 An audit script
• 10.3.2 An audit service
• 10.4 Requirements
• 10.5.1 Running a batch auditing job
• 10.5.2 Handling alerts
• 10.6.1 Limit query execution time
• 10.6.2 Check the query strings before submission
• 10.6.3 Users should be trained early
• 10.7 Prevent too many simultaneous queries
• 10.8 Other users of database schema metadata
• 10.9 Auditing a data pipeline
• 10.10 Logging, monitoring, and alerting
• 10.11.1 Cross data center consistency audits
• 10.11.2 Compare upstream and downstream data
• 10.12 Other possible discussion topics
• 10.13 References
• 11.1 Possible uses of autocomplete
• 11.2 Search vs. autocomplete
• 11.3.1 Scope of our autocomplete service
• 11.3.2 Some UX details
• 11.3.3 Considering search history
• 11.3.4 Content moderation and fairness
• 11.4 Non-functional requirements
• 11.5 Planning the high-level architecture
• 11.6 Weighted trie approach and initial high-level architecture
• 11.7.1 Each step should be an independent task
• 11.7.2 Fetch relevant logs from Elasticsearch to HDFS
• 11.7.3 Split the search strings into words and other simple operations
• 11.7.4 Filter out inappropriate words
• 11.7.5 Fuzzy matching and spelling correction
• 11.7.6 Count the words
• 11.7.7 Filter for appropriate words
• 11.7.8 Managing new popular unknown words
• 11.7.9 Generate and deliver the weighted trie
• 11.8 Sampling approach
• 11.9 Handling storage requirements
• 11.10.1 Maximum length of autocomplete suggestions
• 11.10.2 Preventing inappropriate suggestions
• 11.11 Logging, monitoring, and alerting
• 11.12 Other considerations and further discussion
• 12.1 User stories and functional requirements
• 12.2 Non-functional requirements
• 12.3 High-level architecture
• 12.4 SQL schema
• 12.5 Organizing directories and files on the CDN
• 12.6.1 Generate thumbnails on the client
• 12.6.2 Generate thumbnails on the backend
• 12.6.3 Implementing both server-side and client-side generation
• 12.7.1 Downloading pages of thumbnails
• 12.8 Monitoring and alerting
• 12.9.1 Premium features
• 12.9.2 Payments and taxes service
• 12.9.3 Censorship/content moderation
• 12.9.4 Advertising
• 12.9.5 Personalization
• 12.10 Other possible discussion topics
• 13.1.1 Advantages of using a CDN
• 13.1.2 Disadvantages of using a CDN
• 13.1.3 Example of an unexpected problem from using a CDN to serve images
• 13.2 Requirements
• 13.3.1 Steps in CDN authentication and authorization
• 13.3.2 Key rotation
• 13.4 High-level architecture
• 13.5.1 In-cluster
• 13.5.2 Out-cluster
• 13.5.3 Evaluation
• 13.6.1 Reads: Downloads
• 13.6.2 Writes: Directory creation, file upload, and file deletion
• 13.7 Cache invalidation
• 13.8 Logging, monitoring, and alerting
• 13.9 Other possible discussions on downloading media files
• 14.1 Requirements
• 14.2 Initial thoughts
• 14.3 Initial high-level design
• 14.4.1 Making connections
• 14.4.2 Sender blocking
• 14.5.1 Sending a message
• 14.5.2 Other discussions
• 14.6 Message service
• 14.7.1 Introduction
• 14.7.2 High-level architecture
• 14.7.3 Steps in sending a message
• 14.7.4 Some questions
• 14.7.5 Improving availability
• 14.8 Search
• 14.9 Logging, monitoring, and alerting
• 14.10 Other possible discussion topics
• 15.1 Requirements
• 15.2.1 Replication
• 15.2.2 Data models for room availability
• 15.2.3 Handling overlapping bookings
• 15.2.4 Randomize search results
• 15.2.5 Lock rooms during booking flow
• 15.3 High-level architecture
• 15.4 Functional partitioning
• 15.5 Create or update a listing
• 15.6 Approval service
• 15.7 Booking service
• 15.8 Availability service
• 15.9 Logging, monitoring, and alerting
• 15.10.1 Handling regulations
• 16.1 Requirements
• 16.2 High-level architecture
• 16.3 Prepare feed in advance
• 16.4.1 Changing posts on users’ devices
• 16.4.2 Tagging posts
• 16.4.3 Moderation service
• 16.5.1 Serving images as well as text
• 16.5.2 High-level architecture
• 16.6 Other possible discussion topics
• 17.1 Requirements
• 17.2 Initial thoughts
• 17.3 Initial high-level architecture
• 17.4.1 by product ID
• 17.4.2 Matching host IDs and product IDs
• 17.4.3 Storing timestamps
• 17.4.4 Aggregation process on a host
• 17.5 Batch pipeline
• 17.6.1 Hash table and max-heap with a single host
• 17.6.2 Horizontal scaling to multiple hosts and multi-tier aggregation
• 17.7.1 Count-min sketch
• 17.8 Dashboard with Lambda architecture
• 17.9.1 Lambda vs. Kappa architecture
• 17.9.2 Kappa architecture for our dashboard
• 17.10 Logging, monitoring, and alerting
• 17.11 Other possible discussion topics
• 17.12 References
• A.1 Advantages of monoliths
• A.2 Disadvantages of monoliths
• A.3.1 Agile and rapid development and scaling of product requirements and business functionalities
• A.3.2 Modularity and replaceability
• A.3.3 Failure isolation and fault-tolerance
• A.3.4 Ownership and organizational structure
• A.4.1 Duplicate components
• A.4.2 Development and maintenance costs of additional components
• A.4.3 Distributed transactions
• A.4.4 Referential integrity
• A.4.5 Coordinating feature development and deployments that span multiple services
• A.4.6 Interfaces
• A.5 References
• B.1 Authorization vs. authentication
• B.2 Prelude: Simple login, cookie-based authentication
• B.3 Single sign-on
• B.4.1 Complexity and lack of maintainability
• B.4.2 No partial authorization
• B.5.1 OAuth 2.0 terminology
• B.5.2 Initial client setup
• B.5.3 Back channel and front channel
• B.6 Other OAuth 2.0 flows
• B.7 OpenID Connect authentication
• Appendix C. C4 Model
• Appendix D. Two-phase commit (2PC)

Product information

• Title: Acing the System Design Interview
• Author(s): zhiyong tan
• Release date: January 2024
• Publisher(s): Manning Publications
• ISBN: 9781633439108

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System Design Interview – An insider’s guide Paperback – June 29 2017

• Print length 117 pages
• Language English
• Publication date June 29 2017
• Dimensions 15.24 x 0.69 x 22.86 cm
• ISBN-10 1521243972
• ISBN-13 978-1521243978
• See all details

Product details

• Publisher ‏ : ‎ Independently published (June 29 2017)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 117 pages
• ISBN-10 ‏ : ‎ 1521243972
• ISBN-13 ‏ : ‎ 978-1521243978
• Item weight ‏ : ‎ 190 g
• Dimensions ‏ : ‎ 15.24 x 0.69 x 22.86 cm

About the author

Alex Xu is an experienced software engineer and entrepreneur. Previously, he worked at Twitter, Apple and Zynga. He can be found online at linkedin (https://www.linkedin.com/in/alex-xu-a8131b11/) and twitter (@alexxubyte)

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7 Best System Design Books in 2023

Factors to consider before purchasing the system design book, best system design books, 1. designing data – insensitive applications, 2. head first design patterns, 3. system analysis and design by dennis, wixom, and roth, 4. clean architecture: a craftsman’s guide to software structure and design by robert c. martin, 5. system design interview by alex xu, 6. system analysis and design by scott tilley, 7. modern systems analysis and design by joseph valacich and joey george, q1: how can i be better at system design, q2: is system design difficult.

System Design is a required course for students who want to pursue technical positions once they graduate. Companies are searching for students with exceptional problem-solving abilities and solid computer science basics to fill open positions today.

System design is one of the most significant disciplines that may make or break your chances of landing a job in a technological organization. You must, as a result, have a firm understanding of the topic and master the principles to the best of your abilities.

The most polished source of information is found in books. The author’s goal is to condense all of their life’s lessons into a manageable bundle that you can easily carry about. There is no better approach to learning than through reading the most significant books written by well-known writers when learning system design.

Confused about your next job?

The following are five system design books recommended by the author to assist you in comprehending coding principles in more detail and boost your confidence before undergoing a system design interview .

If you are ready for an interview process that may include concerns on system design, you should seek a book that will assist you in understanding the four factors listed below:

• You have shown an understanding of the issue and can define a scope inside which your idea will be appropriate to the challenge.
• You can present a high-level design with drawings and engage in a dialogue with the interviewer to solve the challenge you face.
• You will be able to readily talk with the interviewer in the terminology of system design if you are familiar with it.
• You can make even more changes to your design.

Choose a book with a large number of case studies and pictures that will assist you in analyzing and visualizing a real-world situation so that you may tackle the topic with ease and accuracy during the interview.

System design today faces many challenges when it comes to data, including scalability, consistency, reliability, efficiency, and maintainability. Also, it’s hard to determine which tool, out of the many available (such as batch processors, message brokers, etc), is right for your application. What does all this jargon mean?

In this book, author Martin Kleppmann walks you through the pros and cons of various technologies for processing and storing data. The book meticulously presents an encyclopedic overview of data storage systems, from fundamental concepts and algorithms to practical applications and specifics of various technologies. By combining the knowledge of seasoned system architects, this book will help newcomers accelerate their learning processes. In his writing, the author perfectly blends theory and practical applications. It’s a must-read for anyone interested in distributed systems, database internals, or big data. There’s so much more to this book than you might expect.

When it comes to software design, you don’t like reinventing the wheel, so you choose to learn from those who’ve done it before. You turn to Design Patterns, lessons learned by others who have had the same system design problems as you. Design Patterns allow you to leverage the expertise of others so you can focus on more challenging work, something more enjoyable.

Written by Eric Freeman and Elisabeth Robson, this book explains what patterns are important, as well as when, why, and how to apply them to your own designs. Furthermore, it discusses the object-oriented principles upon which the patterns are based. This is an entertaining way to learn/improve your knowledge of software development. You will learn important design principles and patterns so you can solve software design problems and speak the language of patterns with your team. It might not seem “serious enough” to begin with, but as you go along, things just keep sticking in your head and you enjoy learning patterns. This book simplifies and explains patterns well!

This book gives you a greater understanding of system analysis and design by providing extensive descriptions of projects relevant to real-life circumstances. The book also includes case studies and many examples, accompanied by thorough descriptions of every case study and example.

This book will assist you in becoming an improved network design student and develop a solid grasp of system analysis and design principles. Therefore, this book may be classified as a system design book for beginners and a system design book for medium and higher-level computer science students, depending on your point of view.

As a well-known writer who has written numerous books on clean code and agile methodology. It is now a no-brainer that, in addition to learning system design concepts, you will also be able to make your code smoother and integrate agile methodology into your design solutions after reading Robert C. Martin’s books.

However, this book concentrates on the principles involved with system analysis and design and the many challenges that system designers encounter while developing a solution for the actual world. This book will also show you how to run unit tests and use a test-driven strategy to improve the efficiency of your systems.

This book is the greatest system design book available for system design students and anybody looking to improve the quality of their software products these days.

Developers can often answer system design questions in interviews because they are frightened by the many alternatives that may be intertwined and included in the system design. However, what is the best way to get it correctly in an interview when there is no definitive answer? Those planning for a system design interview should read this book, the finest available on the market right now.

The book provides many drawings and diagrams that are designed to seem like genuine questionnaire items and will assist you in understanding the real system. In addition, this book will assist you in understanding what the recruiters are looking for in your solution, allowing you to breeze through your next system design exam with comfort.

This System design book by Scott Tiley is widely regarded as one of the most significant system design textbooks available today. System designers have taken and are comparing conventional and novel techniques to construct better systems. This book will make you realize what changed and why it was necessary to bring about the change, and why the change was necessary in the first place.

According to the authors, this book contains sections on object-oriented coding and agile methodology, two of the most regularly utilized methodologies that businesses are using these days, in addition to learning how the systems function, you will learn about cloud computing and mobile apps, among other things.

The book is chock-full of tasks and activities that will force you to throw on your thinking hats and put your newfound knowledge into practice right away.

Suppose you seek a practical approach to learning the ideas, skills, and techniques connected with system analysis and design. In that case, this book is the most acceptable system design book for you. This book also includes a section on agile methods, making it a better fit for creating a student learning system overall.

Read More – Best System Design Courses

The five books listed above are the top system design books currently accessible on the internet. Make sure you don’t get overwhelmed by the sheer number of options and find yourself purchasing them all. Instead, choose one book you genuinely like and make a point of reading it through to the end. Studying one book with care is preferable to skimming through five books while rushing through them in a hurry.

If you prefer online materials, you may consult Code Studio’s Guided Path on System Design and System Design Primer, both of which are available for free (GitHub).

Ans: It would be best if you began studying object-oriented analysis and design. There are several excellent (but few) books available on the topic. One of the most critical concepts to grasp when looking at OOAD is design patterns. These are essential skills to learn if you want to work on any significant project in an object-oriented language. Once you’ve mastered them, you’ll have a decent chance of developing a system that performs effectively and is extendable.

Ans: A challenging subject to master, system design is one of the most common, and many applicants struggle to answer questions on system architecture, scalability, load-balancing, and redundancy, all of which are essential to passing the interview.

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Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs.

System design interviews are the most difficult to tackle of all technical interview questions. This set of 2 Volumes provides a step-by-step framework for how to tackle a system design question. It includes many real-world examples to illustrate the systematic approach, with detailed steps that you can follow.

The First Volume of the System Design Interview - An insider’s guide series that provides a reliable strategy and knowledge base for approaching a broad range of system design questions.

What’s inside? - An insider’s take on what interviewers really look for and why. - A 4-step framework for solving any system design interview question. - 16 real system design interview questions with detailed solutions. - 188 diagrams to visually explain how different systems work.

This book can be seen as a sequel to the book: System Design Interview - An Insider’s Guide Volume 1 . It covers a different set of system design interview questions and solutions. This book should be accessible to readers who have a basic understanding of distributed systems.

This volume provides a reliable strategy and knowledge base for approaching a broad range of system design questions that you may encounter. It will help you feel confident during this important interview.

What’s inside? - 13 real system design interview questions with detailed solutions. - 300+ diagrams to visually explain how different systems work.

• ISBN-10 9355426844
• ISBN-13 978-9355426840
• Edition First Edition
• Publisher Shroff/Byte Code LLC
• Publication date 6 October 2023
• Language English
• Dimensions 22.86 x 15.24 x 3.81 cm
• Print length 756 pages
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• Publisher ‏ : ‎ Shroff/Byte Code LLC; First Edition (6 October 2023); Shroff Publishers & Distributors Pvt. Ltd., B-103, First Floor, Railway Commercial Complex, Sector 3, Sanpada (E), Navi Mumbai 400705, WhatsApp: +917304487700, email: [email protected]
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 756 pages
• ISBN-10 ‏ : ‎ 9355426844
• ISBN-13 ‏ : ‎ 978-9355426840
• Reading age ‏ : ‎ 10 years and up
• Item Weight ‏ : ‎ 1 kg 200 g
• Dimensions ‏ : ‎ 22.86 x 15.24 x 3.81 cm
• Net Quantity ‏ : ‎ 1200.00 Grams
• Packer ‏ : ‎ Shroff Publishers & Distributors Pvt. Ltd., B-103, First Floor, Railway Commercial Complex, Sector 3, Sanpada (E), Navi Mumbai 400705, WhatsApp> +917304487700, email: [email protected]
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About the authors

Alex Xu is an experienced software engineer and entrepreneur. Previously, he worked at Twitter, Apple and Zynga. He can be found online at linkedin (https://www.linkedin.com/in/alex-xu-a8131b11/) and twitter (@alexxubyte)

Sahn Lam is a software engineer with decades of experience in building scalable systems at high-growth companies like Discord, Zynga, and NetApp. Twitter: @sahnlam

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Table of Contents

About the book.

• Scaling applications to support heavy traffic
• Distributed transactions techniques to ensure data consistency
• Services for functional partitioning such as API gateway and service mesh
• Common API paradigms including REST, RPC, and GraphQL
• Caching strategies, including their tradeoffs
• Logging, monitoring, and alerting concepts that are critical in any system design
• Communication skills that demonstrate your engineering maturity
• Insights on scaling, transactions, logging, and more
• Practice questions for core system design concepts
• How to demonstrate your engineering maturity
• Great questions to ask your interviewer

About The Author

Zhiyong Tan is a manager at PayPal. Previously, he worked as a senior full-stack engineer at Uber, as a data engineer at small startups, and as a software engineer at Teradata. Over the years, he has been on both sides of the table in numerous system design interviews. Zhiyong has also received prized job offers from prominent companies such as Amazon, Apple and Bytedance/TikTok.

Product Details

• Publisher: Manning (January 30, 2024)
• Length: 472 pages
• ISBN13: 9781633439108

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The System Design Interview, 2nd Edition Paperback – May 17, 2021

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BEWARE OF COUNTERFEIT BOOKS . Readers have reported that Amazon's 3rd-party sellers are selling counterfeit versions; the counterfeit pages have misprints, missing pages or pages in reverse order. We are working with Amazon to resolve the issue. In the meantime, purchase genuine books with the Amazon.com logo: bit.ly/2B9xxBf

The System Design Interview , by Lewis C. Lin and Shivam P. Patel, is a comprehensive book that provides the necessary knowledge, concepts, and skills to pass your system design interview .

It's written by industry professionals from Facebook & Google . Get their insider perspective on the proven, practical techniques for answering system design questions like Design YouTube or Design a TinyURL solution .

Unlike others, this book teaches you exactly what you need to know.

FEATURING THE PEDALS METHOD™

The book revolves around an effective six-step process called PEDALS:

✔️ P rocess Requirements

✔️ E stimate

✔️ D esign the Service

✔️ A rticulate the Data Model

✔️ L ist the Architectural Components

WHY IS PEDALS™ THE BEST FRAMEWORK FOR SYSTEM DESIGN

The book explains how you can use PEDALS as a blueprint for acing the system design interview.

The book also includes detailed examples of how you can use PEDALS for the most popular system design questions, including:

✔️ Design YouTube

✔️ Design Twitter

✔️ Design AutoSuggest

✔️ Design a TinyURL solution

ALSO COVERED IN THE BOOK

How to estimate server, storage, and bandwidth needs

✔️ How to design data models and navigate discussions around SQL vs. NoSQL

✔️ How to draw architecture diagrams

✔️ How to build a basic cloud architecture

✔️ How to scale a cloud architecture for millions of users

✔️ Learn the best system strategies to reduce latency , improve efficiency , and maintain security

✔️ Review of technical concepts including CAP Theorem, Hadoop, and Microservices

HERE'S WHAT READERS ARE SAYING

I just wanted to say that I got the Amazon Senior SDE job offer. I've failed the system design interview several times, and your material is the best resource out there. - Beto A., Senior SDE Just finished the dreaded Facebook Pirate interview. I used a modified version of PEDALS, and I had him grinning from ear to ear. - Jesse T., Software Engineer My recruiter just gave me the Google role, and I accept!!! I couldn't have made it through the technical round without PEDALS and your system design material. - Priya D., Product Manager

• Print length 249 pages
• Language English
• Publication date May 17, 2021
• Dimensions 6 x 0.63 x 9 inches
• ISBN-13 979-8735625452
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• ASIN ‏ : ‎ B09559NJKL
• Publisher ‏ : ‎ Independently published (May 17, 2021)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 249 pages
• ISBN-13 ‏ : ‎ 979-8735625452
• Item Weight ‏ : ‎ 13.1 ounces
• Dimensions ‏ : ‎ 6 x 0.63 x 9 inches
• #1 in Software Coding Theory
• #6 in UML Language
• #43 in Business Intelligence Tools

About the author

Lewis c. lin.

LEWIS C. LIN is CEO of Impact Interview, an interview coaching firm. Lewis was named by CNN as one of the "top 10 job tweeters you should be following." He has also been featured on FOX, ABC News, San Francisco Chronicle, The Atlantic, The Telegraph, and Business Insider.

Before Impact Interview, Lewis was Microsoft's Director of Product Management. Prior to Microsoft, he worked at Google, leading new AdWords product launches.

Lewis holds a B.S. in computer science from Stanford University and an M.B.A. from Northwestern University's Kellogg School of Management. He also serves on the advisory board for University of Washington's software product management program.

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