Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Martin Kleppmann
• Page: 500
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781449373320
• Publisher: O'Reilly Media, Incorporated

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Free ebook download for iphone Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems iBook ePub

Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You’ll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You’ll learn how to develop an intuition for what your systems are doing, so that you’re better able to track down any problems that arise.

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How does your database store data on disk reliably? large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Hey, I'm writing a book! — Martin Kleppmann's blog
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Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications Martin Kleppmann - vas3k ru
Part I. The Big Picture. Reliable, Scalable and Maintainable Applications If you are designing a data system or service, a lot of tricky 

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