Building Systems

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

What if, in the future, planet-scalable architectures are built in an all pervasive Ambient Cloud that looks a little like a mashup of the wild west of botnets, 4th Generation Warfare politics, the systematic thinking of autonomous computing, the cooperative ethos of Open Source, and the spirit of NoSQL all stretched over a vast compute fabric weaved from smart phones, smart grids, smart everything, PCs, body area networks, public clouds, private clouds, fast cell networks, optical fiber, and WiFi? That's the idea this little book explores in detail.