Systems that scale

/*“In these complimentary chapters from O’Reilly, you will explore the essential ingredients of designing scalable solutions, including replication, state management, load balancing, and caching.”*/

What you'll learn

Scalability design principles

Distributed systems architecture

Essential distributed systems concepts

What's inside

What Is Scalability?
Examples of System Scale in the Early 2000s
How Did We Get Here? A Brief History of System Growth
Scalability Basic Design Principles
Scalability and Costs
Scalability and Architecture Trade-Offs
Performance
Availability
Security
Manageability

Basic System Architecture
Scale Out
Scaling the Database with Caching
Distributing the Database
Multiple Processing Tiers
Increasing Responsiveness
Systems and Hardware Scalability

Communications Basics
Communications Hardware
Communications Software
Remote Method Invocation
Partial Failures
Consensus in Distributed Systems
Time in Distributed Systems

Download free →

About the Author

Ian Gorton

Ian Gorton has 30 years’ experience as a software architect, computer science professor, and consultant. With a focus on distributed technologies since graduate school, he’s worked on large-scale software systems in areas such as banking, telecommunications, government, healthcare, and scientific modeling and simulation. He’s the author of Essential Software Architecture (Springer) and Data Intensive Computing (Cambridge University Press) and has written more than 200 scientific and professional publications on software architecture and software engineering.