ENGLISH

Foundations of Scalable Systems: Designing Distributed Architectures

Book information

Publisher
O'Reilly Media
Year
2022
ISBN
1098106067, 9781098106065
Language
english
Format
EPUB
Filesize
7 MB (7640324 bytes)
Edition
1
Pages
275\0
Time added
2022-07-01 06:57:24

Description

In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively. Author Ian Gorton takes software architects and developers through the principles of foundational distributed systems. You'll explore the essential ingredients of scalable solutions, including replication, state management, load balancing, and caching. Specific chapters focus on the implications of scalability for databases, microservices, and event-based streaming systems. You will focus on: Foundations of scalable systems: Learn basic design principles of scalability, its costs, and architectural tradeoffs Designing scalable services: Dive into service design, caching, asynchronous messaging, serverless processing, and microservices Designing scalable data systems: Learn data system fundamentals, NoSQL databases, and eventual consistency versus strong consistency Designing scalable streaming systems: Explore stream processing systems and scalable event-driven processing Chapter 1. Introduction to Scalable Systems Chapter 2. Distributed Systems Architectures: An Introduction Chapter 3. Distributed Systems Essentials Chapter 4. An Overview of Concurrent Systems Chapter 5. Application Services Chapter 6. Distributed Caching Chapter 7. Asynchronous Messaging Chapter 8. Serverless Processing Systems Chapter 9. Microservices Chapter 10. Scalable Database Fundamentals Chapter 11. Eventual Consistency Chapter 12. Strong Consistency Chapter 13. Distributed Database Implementations Chapter 14. Scalable Event-Driven Processing Chapter 15. Stream Processing Systems Chapter 16. Final Tips for Success

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