Download Pdf Designing Data-Intensive Applications: The Big Ideas Behind Reliabl

03 May 2024

Views: 52

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

Download ebook ➡ http://get-pdfs.com/pl/book/409948/853

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

Download or Read Online Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Free Book (PDF ePub Mobi) by Martin Kleppmann
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann PDF, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Epub, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Read Online, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Audiobook, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann VK, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Kindle, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Epub VK, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann Free Download

Overview
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.

Share