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