English | 2024 | ISBN: 978-9355519535 | 474 Pages | EPUB | 20 MB
Long path to better systems that last longer and make engineers and customers happier
Key Features
- Guidance, trade-offs analysis, principles, and insights on understanding complex microservices and monoliths problems and solutions at scale.
- In-depth coverage of anti-patterns, allowing the reader to avoid pitfalls and understand how to handle architecture at scale better.
- Concepts and lessons learned through experience in performing code and data migration at scale with complex architectures. Best usage of new technology using the right architecture principles.
This book is a comprehensive guide to designing scalable and maintainable software written by an expert. It covers the principles, patterns, anti-patterns, trade-offs, and concepts that software developers and architects need to understand to design software that is both scalable and maintainable.
The book begins by introducing the concept of monoliths and discussing the challenges associated with scaling and maintaining them. It then covers several anti-patterns that can lead to these challenges, such as lack of isolation and internal shared libraries.
The next section of the book focuses on the principles of good software design, such as loose coupling and encapsulation. It also covers several software architecture patterns that can be used to design scalable and maintainable monoliths, such as the layered architecture pattern and the microservices pattern.
The final section of the book guides how to migrate monoliths to distributed systems. It also covers how to test and deploy distributed systems effectively.
What you will learn
- Understand the challenges of monoliths and the common anti-patterns that lead to them.
- Learn the principles of good software design, such as loose coupling and encapsulation.
- Discover software architecture patterns that can be used to design scalable and maintainable monoliths.
- Get guidance on how to migrate monoliths to distributed systems.
- Learn how to test and deploy distributed systems effectively.
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