Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services


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Description

Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient.

Author Brendan Burns--Director of Engineering at Microsoft Azure--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.

  • Understand how patterns and reusable components enable the rapid development of reliable distributed systems
  • Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine
  • Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components
  • Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows


Author: Brendan Burns
Publisher: O'Reilly Media
Published: 03/20/2018
Pages: 166
Binding Type: Paperback
Weight: 0.60lbs
Size: 9.10h x 7.00w x 0.30d
ISBN13: 9781491983645
ISBN10: 1491983647
BISAC Categories:
- Computers | Distributed Systems | General
- Computers | Software Development & Engineering | Systems Analysis & Desi
- Computers | Internet | Web Services & APIs

About the Author

Brendan Burns is a Partner Architect in Microsoft Azure, working on Azure Container Service and Azure Resource Manager. Prior to Microsoft he worked at Google in the Google Cloud Platform, where he co-founded the Kubernetes project and helped build APIs like Deployment Manager and Cloud DNS. Before working on cloud, he worked on Google's web-search infrastructure, with a focus on low-latency indexing. He has a PhD in Computer Science from the University of Massachusetts Amherst with a specialty in Robotics. He lives in Seattle with his wife Robin Sanders, their two children and a cat Mrs. Paws, who rules over their household with an iron paw.