The world of software development is fast paced. If you glance away to pet your cat too long you may miss the next big framework or tool. For instance, JavaScript, one of the most popular programming languages in the world is notorious for pushing out new frameworks as often as a developer has a bad day - which happens more often than you may think. Because of this, many developers need to get information quickly and the best mediums to get that information come in the form of short form videos, quick articles and snappy courses. While we can appreciate the roles these play in keeping us up to speed with development trends, it's still crucial to settle in with a good book once in a while.
Some development books may seem intimidating judging by volume alone, but the treasures they hold within are timeless. Usually, what separates good developers from average developers is how much time they are willing to read between the lines and understand the underlying concepts that run programs so they can be better efficient at solving problems. If you'd like to be the best backend developer you could be, have a look at these top five books backend developers should read that'll be sure to take you to the next level of your career.
1. Designing Data-Intensive Applications by Martin Kleppmann
This book is a classic for those seeking to understand how data works and is handled by applications. It dives into ways to optimize data so you produce programs that retrieve and use data quickly and efficiently.
Here, you’ll be looking into database storage and trade-offs that exist between different data technologies. It introduces these core trade-offs in distributed systems like consistency, availability, and scalability which that shape how real-world backend systems are designed. As a backend developer, dealing with data constantly, this book is a must-have and will help you explore the fundamental principles of data systems.
2. Clean Code by Robert C. Martin
Clean code is a tricky subject. After a few years in development, you realize that there are certain standards that must be upheld in your code, but you also become aware that these same standards and best practices are not set in stone and may be broken on occasion. An example is the DRY principle. You may know that repeating code is bad practice, but would you stick to this rule so much, at the expense of readable code? That's where Clean Code by Robert C. Martin saves the day. It dives into such questions and explains what it truly means for code to be clean.
Robert’s book emphasizes that writing clean code isn’t about unbending rules, but about making thoughtful decisions in matters of readability, maintainability, and practicality.
You’ll learn about writing code that is self-documenting, keeping functions focused on one thing and other such rules for maintainable, readable and modular code. Rid yourself of code smells, and get a copy.
3. Cracking the Coding Interview by Gayle Laakmann McDowell
Coding interviews are not a walk in the park. In some cases, the questions you may face in a technical interview may seem quite abstract and sometimes a bit different from what you deal with at work in your day to day. If you're thinking of taking a bold step into job searching, this book is a classic and a must-have in your preparation attempts.
Beyond just practicing interview questions, it’ll help you build a problem solving mindset. Solve over 180 coding questions and find yourself walking confidently in and out of technical interviews.
4. Fundamentals of Software Architecture by Richard and Ford
This book is a haven for those seeking a good introduction to Software Architecture fundamentals. It discusses eight architecture styles, each with detailed explanations. It explains how different architectural styles impact system performance, scalability, and maintainability which are key concerns in backend development. It could serve as a great handbook and source material for all things architecture related.
5. Grokking Algorithms by Aditya Bhargava
This book is a delight. It makes algorithms easier to follow and visual learners would benefit greatly from the illustrations. In it, Aditya simplifies concepts like Big O Notation, recursion and dynamic programming.
On reading this book, you'll realize soon enough that it makes complex algorithmic concepts intuitive, helping developers understand not just how solutions work, but why they work. The author makes these rather abstract concepts easier to mentally navigate with his witty and brilliant writing.
Conclusion
The above are just a few of many interesting and amazing books that will keep you deeply engaged. While some of the books on this list aren’t specifically targeted at backend developers, they are great to have in your library as they concern general coding best practices and critical thinking.
Why not pick up a book today? Perhaps lose yourself in the whimsical world of Grokking Algorithms, be amazed by how Martin Kleppman explains the secret recipes needed in designing data-intensive applications or carefully observe and craft your methods after reading Robert C. Martin's Clean Code.
