Cloud Native Go

Building Reliable Services in Unreliable Environments (Grayscale Indian Edition)

Matthew A. Titmus Shroff Engineering Books English Paperback 9789391043209

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Shroff Publishers do not endorse the preview pages of kindle linked to our ISBNs. All Indian Reprints of O'Reilly are Printed in Grayscale

What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations.

Each chapter builds on the lessons of the last, walking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn best practices for adopting Go as your development language for solving cloud native management and deployment issues.

Learn how cloud native applications differ from other software architectures
Understand how Go can solve the challenges of designing scalable distributed services
Leverage Go's lower-level features, such as channels and goroutines, to implement a reliable cloud native service
Explore what "service reliability" is and what it has to do with cloud native
Apply a variety of patterns, abstractions, and tooling to build and manage complex distributed systems

Matthew Titmus is an academic refugee and veteran of the software development industry who can currently be found serving as an engineering team lead at Yext in New York. He's an organizer for the DevOpsDays NYC Conference, the founder of NYC CoffeeOps, and the author of Cloud Native Go (2nd edition coming soon from O'Reilly Media).

Since teaching himself to build virtual worlds in LPC, he's earned a surprisingly-relevant degree in molecular biology, written tools to analyze terabyte-sized datasets at a high energy physics laboratory, developed an early web development framework from scratch, wielded distributed computing techniques to analyze cancer genomes, and pioneered machine learning techniques for linked data. He was an early adopter and advocate of both cloud-native technologies in general and the Go language in particular.

Matthew has above average handwriting. His hobbies include spontaneous human combustion, collecting dirt, and cold logic. His turnoffs include time, object permanence, barium, and four out of five dentists. He lives on Long Island with the world's most patient woman and the world's most adorable boy.