Kategoria BISAC: Computers >> Software Development & Engineering - Systems Analysis & Design

Microservices can have a positive impact on your enterprise--just ask Amazon and Netflix--but you can fall into many traps if you don't approach them in the right way. This practical guide covers the entire microservices landscape, including the principles, technologies, and methodologies of this unique, modular style of system building. You'll learn about the experiences of organizations around the globe that have successfully adopted microservices.

In three parts, this book explains how these services work and what it means to build an application the Microservices Way. You'll...

Integrating ideas from the fields of systems science and knowledge science, Knowledge and Systems Science: Enabling Systemic Knowledge Synthesis shows how to create and justify various pieces of knowledge systemically. Written by one of the foremost experts in this area, the book presents approaches for the systemic integration of knowledge, which can help solve complex problems today and in the future.

After discussing issues of systemic knowledge synthesis, the book emphasizes the importance of the human dimension in problem solving and introduces a new...

Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date introduction to intelligent systems.
This edited book captures the state of the art in intelligent computing research through case studies that examine recent developments, developmental tools, programming, and approaches related to artificial intelligence (AI). The case...

This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.