PDF Ebook Storm Applied: Strategies for real-time event processing
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Storm Applied: Strategies for real-time event processing
PDF Ebook Storm Applied: Strategies for real-time event processing
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About the Author
Sean T. Allen has worked in software for over 20 years. He works as Principal Architect for TheLadders. He is one of the developers of Redline Smalltalk; an implementation of the Smalltalk programming language that runs on the JVM. You can often follow Sean on Twitter at @SeanTAllen.Matthew Jankowski has been involved in the development of software systems for over 10 years. Throughout his career, he has participated in a wide variety of projects, with a majority of the focus on the development of RESTful web services. He has spent the last two years integrating Storm into TheLadders and continues to search for new use cases for Storm within the company.Peter Pathirana is a Lead Software Engineer at TheLadders.com at the vanguard of the Recommendations platform architecture. He has over 10 years of experience in designing comprehensive solutions for hard problems and he enjoys tinkering with Storm, Elastic Search, Solr, and RabbitMQ for starters.
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Product details
Paperback: 280 pages
Publisher: Manning Publications; 1 edition (April 12, 2015)
Language: English
ISBN-10: 1617291897
ISBN-13: 978-1617291890
Product Dimensions:
7.3 x 0.5 x 9.1 inches
Shipping Weight: 14.9 ounces (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
21 customer reviews
Amazon Best Sellers Rank:
#757,281 in Books (See Top 100 in Books)
This is probably the best of (not so many) available books on Storm. It goes in much detail explaining how Storm works and its structure. A little bit underestimates the reader (too many simple details), but maybe it is targeted at people who are not Java developers. Unfortunately, Trident is explained very poorly, but same is true for all other books on Storm. Looks like nobody of those writers really understands Trident.
Storm Applied is a very practical book with great content.I really enjoyed every single chapter. The book is organized in a clear and concise way which makes it easy to follow and see the benefits of using Storm with practical examples.The book really puts very useful information about Storm in a single place which makes the book very valuable.I like the clear code samples and diagrams. On top of that it compares Storm with other real-time processing projects which helps to see it’s advantages.
So good the entire team has a copy now.
great
It is ok, touches on related items, but the layout and composition of the material could have been done much better. the online apache material provides better way of presenting the subject.
First some context as to why I wanted to read this book. I have extensive knowledge in the messaging, BPM and Java area having worked on a number of software products in this area. I have been interested in understanding how to use Hadoop and this in turn led me to Storm. I am a beginner on Storm and was looking for a book that explained the fundamentals as the concepts seemed to be similar to those I have used in broker software.Onto the book.The things I thought were good:1. It is extremely easy to read, very well written and with a number of very good examples on differing Storm topologies. The authors do an excellent job of stepping through the examples in a lot of detail which helps the reader understand the concepts behind the product. Throughout the book it is obvious that the authors have used Storm extensively.2. The flow through the chapters is good, starting with core Storm concepts in Chapter 2. Chapter 3 is also good for beginners as it explains some things to take into consideration when building Storm topologies. There are also some good chapters following on how build and deploy a Storm cluster in production and discusses issues that can arise, although some of these e.g. JVM and O/S tuning are the sort of things that companies would already have a handle on, in my opinion. Nevertheless, some useful information applied to Storm processing.The things I felt were missing or lacking:1. Some real-world performance figures. This is all about "real-time" processing and consequently I would have expected some examples of what sort of throughput a user could expect for certain hardware configurations. The authors throw in a statement on page 9, "In fact it does not get any speedier than this". I realize this would be a whole book by itself but some numbers would be useful. The authors say they have deployed it in a production, so I would have expected to see some numbers.2. The authors state this book is for beginners so I would have expected to see a section at the beginning on how to actually install Storm in local mode, so that the reader could test out the code examples. Even a pointer would have been helpful but nothing appears like this until page 109.3. Having spent a lot of time with Enterprise-ready guaranteed message processing (once and only once), I know how complicated this really is to achieve. Consequently I feel that chapter 4 spent a long time discussing this and the conclusion I got reading the chapter is that it is not really guaranteed for all messages in all environments (which is what I expected). From the start of the chapter, it seemed to imply that it was possible with Storm but really there is more to it especially when interacting with external services.4. No mention was made of the overhead in providing the various levels of "guaranteed message processing". Usually there is some loss in throughput as it becomes more guaranteed.5. The tuning section was good but there was no real explanation of how the authors arrived at figures of 32, 32 and 8 for bolt tasks in one of the examples. The bottleneck was identified and then these numbers seemed to be pulled from nowhere. At least, I did not see a scientific explanation.6. I did not find the chapter on Trident at all useful for me personally and I am not sure it added a lot to the book.
I'd say the book has three goals: provide a general introduction to Storm and its API (which it does quite well), discuss how to run and tune Storm topologies over clusters (which it does adequately) and introduce Trident, a high level abstraction that runs on top of Storm (which it does very hastily).Example code requires basic Java knowledge and is easy to follow.APIs and Storm UI descriptions are relative to Storm version 0.9.3 but the code also runs on version 1.1.1 if you properly rename packages imported in Java source files.The book gives a gentle and readable introduction to Storm and its operation on a cluster. I'm not that satisfied about the Trident part.In more detail:After chapter 1 puts the technology into context explaining what stream processing is and how Storm compares to other popular BigData products, chapter 2 gently introduces terminology (topology, streams, spout and bolts), how tuples move around and presents a simple example Storm application. Chapter 3 then goes through the development of a more complex example to illustrate how topology design relates to thread-safety, scaling and efficiency.Reliability is the subject of chapter 4 where the meaning of anchoring, acking and failing tuples is explained in order to achieve reliability guarantees on tuple processing. Besides discussing the "at most once"/"at least once"/"exactly once" alternatives, the chapter also explains how attaining the latter requires careful coding and idempotent operations.Chapter 5 illustrates the components of a Storm cluster and gives a brief tutorial on how to install one. ZooKeeper is required for a Storm cluster to work but the reader is directed to the ZooKeeper website for any instructions. Also Storm configuration and installation instructions are a bit skimpy. The chapter also describes how to deploy to a cluster and gives a detailed description of Storm UI, the web interface available to monitor and control a running Storm cluster.Chapters 6 and 7 teach how to use Storm UI and other tools to monitor performance and identify bottlenecks and describe how to tune cluster performance by adjusting configuration and deployments parameters. Chapter 8 also gives some internal Storm implementation details that might help in properly configuring a topology.The final chapter is devoted to Trident: a high level abstraction that sits on top of Storm and provides a declarative API to build topologies.All of this is stuffed in: the Trident relationship with Kafka, how to build Trident topologies, how to run distributed queries, how to map Trident topologies to Storm topologies and how to approach scaling. Coverage detail however is far from the rest of the book. Several things are omitted and many barely touched. Trident should have been given a lot more space.
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