Recommended Books
Essential reading for software engineers
A curated collection of influential books that every software engineer should read. These books cover fundamental concepts, best practices, and advanced topics in software engineering, system design, and engineering culture.
Designing Data-Intensive Applications
Martin Kleppmann
2017
The definitive guide to building scalable, reliable, and maintainable systems. Covers data storage, processing, and the fundamental principles behind modern distributed systems.
Site Reliability Engineering
Google SRE Team
2016
Google's approach to building and maintaining large-scale production systems. Essential reading for understanding SRE principles, monitoring, and incident response.
Clean Code
Robert C. Martin
2008
A handbook of agile software craftsmanship. Learn how to write code that is readable, maintainable, and follows best practices for software development.
System Design Interview
Alex Xu
2020
A comprehensive guide to acing system design interviews. Covers scalable system design patterns, real-world examples, and step-by-step problem-solving approaches.
The Pragmatic Programmer
David Thomas, Andrew Hunt
2019
Your journey to mastery. Timeless lessons and practical advice for becoming a better programmer. Covers debugging, testing, automation, and professional development.
Building Microservices
Sam Newman
2021
Designing fine-grained systems. Learn how to design, build, and deploy microservices architecture with practical examples and real-world patterns.
Effective Java
Joshua Bloch
2017
Best practices for the Java programming language. Written by Java platform architect, covering 90 rules for writing better Java code with clear explanations.
Cracking the Coding Interview
Gayle Laakmann McDowell
2015
189 programming questions and solutions. The definitive guide for technical interview preparation with detailed solutions and interview strategies.
Patterns of Enterprise Application Architecture
Martin Fowler
2002
Enterprise application architecture patterns and best practices. Essential for understanding how to structure large-scale enterprise applications.