- Taschenbuch: 327 Seiten
- Verlag: O'Reilly and Associates; Auflage: 1 (19. November 2013)
- Sprache: Englisch
- ISBN-10: 1449361692
- ISBN-13: 978-1449361693
- Größe und/oder Gewicht: 15,2 x 1,4 x 22,9 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 277.056 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Feedback Control for Computer Systems (Englisch) Taschenbuch – 19. November 2013
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Über den Autor und weitere Mitwirkende
Philipp K. Janert was born and raised in Germany. He obtained aPh.D. in Theoretical Physics from the University of Washington in 1997and has been working in the tech industry since, including four yearsat Amazon.com, where he initiated and led several projects to improveAmazon's order fulfillment process. He is the author of two books ondata analysis, including the best-selling "Data Analysis with OpenSource Tools" (O'Reilly, 2010), and his writings have appeared onPerl.com, IBM developerWorks, IEEE Software, and in the LinuxMagazine. He has contributed to CPAN and other open-sourceprojects. He lives in the Pacific Northwest.
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According to the book, Feedback Control is a topic well known to mechanical engineers, but not so much in the software industry. Feedback Control is about making smarter systems that can cope with dynamic environments. Many knobs that developers build into configuration can actually be automated with feedback loops.
Examples given early in the book:
* A Cache by tracking hit rate and changing the cache size
* A Server Farm by tracking request latency and changing number of deployed server nodes
* A Queueing System by tracking wait time and changing the number of workers
* A Graphics Library by tracking memory consumption and changing the output resolution
The book is well written. It starts out with practical examples and working code. It later introduces the deep theory and drops some math bombs. Don't worry, there is Python code for everything and you don't have to understand the math.
It gives solid advice, like don't blindly use Feedback Control for optimization; optimization needs a higher level strategy guiding the process.
Lastly, there are references for further reading, if you do want to work through more of the theory.
The term Enterprise is thrown about, don't let this scare you away :) This is a valuable book for many types of software problems. A couple I've brainstormed while reading:
* Controlling difficulty of a video game, to react to how skilled a player is
* Controlling aspects of an animation
* Controlling polling of APIs for fresh data
* Driving load testing to find different scaling points (errors, high latency, etc)
Well done and thanks for filling a much needed segment of software fundamentals.
I couldn't resist using that line from the movie "The Graduate". Just as plastics became central to the industrial economy of the last century; feedback is becoming central to the real-time economy of this century. Effective use of information technology to enable companies to harness the power of feedback is the highest calling of the IT professional in this century and this economy. Companies that learn to harness feedback to guide their operations will be big winners in our real-time economy.
Success in the real-time economy is about continuous response to change even more so than it is about being efficient. Efficiency is an Industrial age concept. Continuous response to change (while remaining efficient enough) is what we need to succeed in this age. That means feedback and understanding how to use feedback to guide and manage IT operations moment to moment.
Mr. Janert presents the concepts of feedback in a clear and detailed manner. The IT professional who wants to specialize in the fine art and discipline of operating data centers in the real-time economy needs to understand feedback and how to apply it to run IT operations moment to moment as the real-time world unfolds. Janert presents specific examples of applying the principles of feedback to the tasks involved in running data centers. He illustrates his examples with samples of code and as you work through the code exercises, you get a clear understanding of how to apply these principles.
The only reason I don't give this book a five star rating is that I wanted it to go beyond IT operations and show how feedback can also be applied to business operations. The same principles of feedback that govern the spin up of more virtual server instances in a cloud data center also apply to the order picking activity in a warehouse. The same principles of feedback that apply to the allocation of DRAM and storage space in a dynamic and unpredictable operations environment also apply to the allocation of money in a financial portfolio or the scheduling of delivery vehicles on a road network. IT pros need to appreciate this larger picture because it provides context to understand how IT and business operations can use feedback to work together in the real-time world.
This book is for the devoted and highly skilled IT ops professional and for those who aspire to be highly skilled IT ops professionals. If I was a CIO or IT Ops Director running a data center of any size, I would strongly encourage all of my staff to read this book.