What do you think?
Rate this book
Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Systems Using Kubernetes
Every distributed system strives for reliability, performance, and quality, but building such a system is hard. Establishing a set of design patterns enables software developers and system architects to use a common language to describe their systems and learn from the patterns and practices developed by others.
The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before.
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system.
This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
Understand how patterns and reusable components enable the rapid development of reliable distributed systemsUse the sidecar, adapter, and ambassador patterns to split your application into a group of containers on a single machineExplore loosely coupled multinode distributed patterns for replication, scaling, and communication between componentsLearn distributed system patterns for large-scale batch data processing covering work queues, event-based processing, and coordinated workflows
The popularity of containers and Kubernetes paves the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help guide the systems you build using common patterns and practices drawn from some of the highest performing distributed systems in use today. These common patterns make the systems you build far more approachable and efficient, even if you've never built a distributed system before.
Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system.
This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.
Understand how patterns and reusable components enable the rapid development of reliable distributed systemsUse the sidecar, adapter, and ambassador patterns to split your application into a group of containers on a single machineExplore loosely coupled multinode distributed patterns for replication, scaling, and communication between componentsLearn distributed system patterns for large-scale batch data processing covering work queues, event-based processing, and coordinated workflows
- GenresArchitecture
345 pages, Kindle Edition
Published December 4, 2024
13 people are currently reading
23 people want to read
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 of 1 review
October 17, 2025
Not sure why this book is rated so low. So far it's great at explaining the common language used in designing distributed systems and architectural cloud patterns. I knew some patterns like the Sidecar but what makes the book great is providing useful real world examples on how that might be useful.
I want make it clear that the book is about DESIGN, not implementation.
I want make it clear that the book is about DESIGN, not implementation.
Displaying 1 of 1 review