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Product details
File Size: 6430 KB
Print Length: 166 pages
Simultaneous Device Usage: Unlimited
Publisher: O'Reilly Media; 1 edition (February 20, 2018)
Publication Date: February 20, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B079YTM4FC
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There's good information in here, but it's an ultimately shallow experience. It's nice to see the codification of these distributed system design patterns into diagrams and names, but the book mostly seems like Kubernetes promotional material. The book relies so heavily on Kubernetes' config boilerplate to pad its content it's surprising that Kubernetes is not mentioned anywhere in the title. In addition to describing design patterns, this book is pretty rigorous in its adherence to its own simple pattern: Introduce a design pattern with a name and a diagram, describe it briefly, give examples of its practical application with accompanying Kubernetes configurations. Would have liked to see more discussion of the evolution of these patterns along with some case studies. Works OK as a practical companion piece to Kleppmann's Designing Data-Intensive Applications, but at the same MSRP, either this is overpriced or DDIA is a steal. If you have to choose one of them at $44.99, Kleppmann should be your first choice, hands down.
Went over couple of chapters so far. I will start by reviewing it 4. If you are an experienced developer then most of these patterns you have already applied at some point. The book goes over explaining them nicely with practical scenarios. A figure for EACH scenario would have been nice though.However, like other reviewers mentioned the author should not have adopted to using Kubernetes without mentioning it in pre-req. Examples don't provide much value this way. I have read "The Kubernetes Book" by Nigel so was able to understand concepts such as Pod and YAML syntax. The book could have been written keeping the container/micro-service orchestration abstract.
I’ve joked over the last year that Kubernetes is going to translate my 20 years of hard-earned distributed systems experience into a few yaml files.This book is the beginning of that process. This book outlines the major patterns used in the design of large scale, heterogenous applications in simple, digestible terms. It gives a common language for us all to use as we build systems in the future. While there is still much room for implementation and execution, this book covers the major patterns I’ve seen in both online processing and batch.This book won’t solve whether or not you should build your system as distributed microservices or a monolith, but it will help you design your services once you’ve decided you need them.
Very superficial. Describes a few ways to build some simple distributed applications without discussing the fundamental aspects and tradeoffs of those systems. Most of the information is easily available anywhere on the Internet. If you're looking for a good book on designing distributed systems, don't buy this book. Instead buy the Martin Kleppmann book "Designing Data Intensive Applications".
If you're looking for an application manual for distributed systems, this is the book for you.All you theory-heads, read this first, then split off into the topics that interest you the most.
I loved the author's brevity in order to stay focused on the larger patterns found in distributed systems. This book is heavily tilted to the Kubernetes engineer, but that's EXACTLY what I wanted. I still love paper books and having a lightweight copy I can take almost anywhere, but with material that is anything but lightweight give me the best value of all. Thanks Brendan Burns - awesome job!
This book is an important text for those looking for patterns when building modern distributed systems and a significant contribution for software engineering.
Finally a great book from a holistic perspective on distributed system design patterns! Great use of mix language examples to compliment the explanations while not going too deep into the actual codification of such patterns. This is a great reference to have on hand for architecture discussions around distributed systems.
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