: Introduces rapid cloud application design methodologies. It features hands-on case studies in areas such as image processing and live streaming, using Python as a primary programming tool.
Public, Private, Hybrid, and Community clouds.
, the principles taught are designed to be applicable across any cloud vendor. Reader Reviews & Feedback Practicality : Reviewers on Amazon.com : Introduces rapid cloud application design methodologies
Practical labs utilizing EC2, S3, RDS, and Lambda.
: A research scientist at Georgia Institute of Technology with a focus on cloud computing and Big Data. He has authored multiple textbooks in the "Hands-on Approach" series, including works on IoT and Blockchain. , the principles taught are designed to be
The text is organized into three distinct parts across 13 chapters:
The book is meticulously structured to take a reader from a cloud novice to an architect capable of building cloud-native applications. It is generally divided into several logical thematic layers: 1. Fundamental Concepts and Cloud Architecture He has authored multiple textbooks in the "Hands-on
Computer science students, software engineers, and cloud architects. Core Structural Breakdown
One title consistently emerges in university syllabi and professional reading lists:
The book's organization is designed to methodically build the reader's knowledge:
: Introduces rapid cloud application design methodologies. It features hands-on case studies in areas such as image processing and live streaming, using Python as a primary programming tool.
Public, Private, Hybrid, and Community clouds.
, the principles taught are designed to be applicable across any cloud vendor. Reader Reviews & Feedback Practicality : Reviewers on Amazon.com
Practical labs utilizing EC2, S3, RDS, and Lambda.
: A research scientist at Georgia Institute of Technology with a focus on cloud computing and Big Data. He has authored multiple textbooks in the "Hands-on Approach" series, including works on IoT and Blockchain.
The text is organized into three distinct parts across 13 chapters:
The book is meticulously structured to take a reader from a cloud novice to an architect capable of building cloud-native applications. It is generally divided into several logical thematic layers: 1. Fundamental Concepts and Cloud Architecture
Computer science students, software engineers, and cloud architects. Core Structural Breakdown
One title consistently emerges in university syllabi and professional reading lists:
The book's organization is designed to methodically build the reader's knowledge: