Top: System Design Interview – An insider's guide

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Microservice Patterns and Best Practices: Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices

Understanding Distributed Systems: What every developer should know about large distributed applications

Domain Driven Design

Enterprise

Here are 5 books I think every software engineer should read in 2022! Of course, there are many more great books, but these are my top 5 recommendations!

• Clean Code - https://amzn.to/3nHNtAC
• Clean Architecture - https://amzn.to/3kZ7UqR
• The DevOps Handbook - https://amzn.to/3Aw2uNo
• Software Engineering at Google - https://amzn.to/3rfJc8L
• Understanding Distributed Systems - https://amzn.to/3cjChr5

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• Web Scalability for Startup Engineers
• System Design Interview – An insider's guide
• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Building Microservices: Designing Fine-Grained Systems
• Understanding Distributed Systems: What every developer should know about large distributed applications
• Microservice Patterns and Best Practices: Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices
• RESTful Web APIs: Services for a Changing World
• Build APIs You Won't Hate: Everyone and their dog wants an API, so you should probably learn how to build them
• I Heart Logs: Event Data, Stream Processing, and Data Integration
• Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
• Graph Databases: New Opportunities for Connected Data
• Cassandra: The Definitive Guide: Distributed Data at Web Scale

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👨‍💻 Data Structures & Algorithms

• Computer Science Distilled - https://amzn.to/39jYZ0S

• Grokking Algorithms - https://amzn.to/2JcBrjS

• Introduction to Algorithms - https://amzn.to/2V03JRb

• Elements of Programming Interviews (Python) - https://amzn.to/35XPQJw

• Elements of Programming Interviews (Java) - https://amzn.to/374W5KT

• Clean Code - https://amzn.to/3nHNtAC

• Clean Architecture - https://amzn.to/3kZ7UqR

• Refactoring - https://amzn.to/377VXdM

• The Productive Programmer - https://amzn.to/33aMeSE

• Pragmatic Thinking & Learning - https://amzn.to/2J5IfzM

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🌩 Distributed Systems

• Web Scalability for Startup Engineers - https://amzn.to/39c55QV
• Designing Data Intensive Applications - https://amzn.to/3fxgOLm
• Understanding Distributed Systems - https://amzn.to/3cjChr5
• Software Engineering at Google - https://amzn.to/3rfJc8L
• Building Microservices - https://amzn.to/2UUPsFi

📕 OTHER RECOMMENDATIONS

• Algorithm Design Manual - https://amzn.to/35ZXx1D
• Algorithms (4th Ed.) - https://amzn.to/3m9c1kN

📺 EXCELLENT FREE RESOURCES

(Watch these in order - beginner to advanced)

• Intro to Computer Science (by Ana Bell @ MIT) - https://bit.ly/3oHCWpq
• Programming Abstractions (by Julie Zelenski @ Stanford) - https://bit.ly/3n7WfIg
• Introduction to Algorithms (by Erik Demaine @ MIT) - https://bit.ly/2JWzd8J

Articles/Books:

• https://sre.google/books/
• http://book.mixu.net/distsys/
• https://engineering.fb.com/2020/08/17/production-engineering/async/
• https://engineering.fb.com/2020/08/24/production-engineering/scaling-services-with-shard-manager/
• https://engineering.fb.com/2020/03/18/production-engineering/ntp-service/
• https://engineering.fb.com/2019/09/30/ml-applications/mars/
• https://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf
• https://media.amazonwebservices.com/blog/2017/aurora-design-considerations-paper.pdf

System Design Resources:

• https://github.com/donnemartin/system-design-primer
• https://github.com/prasadgujar/low-level-design-primer/blob/master/questions.md
• https://github.com/binhnguyennus/awesome-scalability