Foundations of Scalable Systems – Designing Distributed Architectures 1st Edition Ian Gorton – Ebook Instant Download/Delivery ISBN(s): 9781098106065, 1098106067, 9781098106010, 1098106016
Product details:
- ISBN 10: 1098106016
- ISBN 13: 9781098106010
- Author: Ian Gorton
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 foundational principles of 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
Table contents:
I. The Basics
1. Introduction to Scalable Systems
2. Distributed Systems Architectures: An Introduction
3. Distributed Systems Essentials
4. An Overview of Concurrent Systems
II. Scalable Systems
5. Application Services
6. Distributed Caching
7. Asynchronous Messaging
8. Serverless Processing Systems
9. Microservices
III. Scalable Distributed Databases
10. Scalable Database Fundamentals
11. Eventual Consistency
12. Strong Consistency
13. Distributed Database Implementations
IV. Event and Stream Processing
14. Scalable Event-Driven Processing
15. Stream Processing Systems
16. Final Tips for Success
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