Cloud Native Go: Building Reliable Services in Unreliable Environments 2nd Edition 276406
Код товару: 276406Паперова книга
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ISBN978-1098156428
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Бренд
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Автор
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Рік2025
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МоваАнглійська
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ІлюстраціїЧорно-білі
Learn how to use Go's strengths to develop services that are scalable and resilient even in an unpredictable environment. With this book's expanded second edition, Go developers will explore the composition and construction of cloud native applications, from lower-level Go features and mid-level patterns to high-level architectural considerations.
Each chapter in this new edition 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 about Go generics, dependability and reliability, memory leaks, and message-oriented middleware. New chapters on security and distributed state delve into critical aspects of developing secure distributed cloud native applications.
With this book you will:
- Learn the features that make Go an ideal language for building cloud native software
- Understand how Go solves the challenges of designing scalable distributed services
- Design and implement a reliable cloud native service by leveraging Go's lower-level features such as channels and goroutines
- Apply patterns, abstractions, and tooling to effectively build and manage complex distributed systems
- Overcome stumbling blocks when using Go to build and manage a cloud native service
About the Author
Matthew Titmus is a seasoned veteran of the software development industry. 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. For the past several years he has specialized in helping companies migrate monolithic applications into a containerized, cloud-native world, allowing them to transform the way their services are developed, deployed, and managed. He is passionate about what it takes to make a system production quality, and has spent a lot of time thinking about and implementing strategies for observing and orchestrating distributed systems.
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Характеристики
- Бренд
- Автор
- КатегоріяПрограмування
- Номер видання2-ге вид.
- Рік2025
- Сторінок520
- Формат165х235 мм
- ОбкладинкаМ'яка
- Тип паперуОфсетний
- МоваАнглійська
- ІлюстраціїЧорно-білі
Від видавця
Learn how to use Go's strengths to develop services that are scalable and resilient even in an unpredictable environment. With this book's expanded second edition, Go developers will explore the composition and construction of cloud native applications, from lower-level Go features and mid-level patterns to high-level architectural considerations.
Each chapter in this new edition 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 about Go generics, dependability and reliability, memory leaks, and message-oriented middleware. New chapters on security and distributed state delve into critical aspects of developing secure distributed cloud native applications.
With this book you will:
- Learn the features that make Go an ideal language for building cloud native software
- Understand how Go solves the challenges of designing scalable distributed services
- Design and implement a reliable cloud native service by leveraging Go's lower-level features such as channels and goroutines
- Apply patterns, abstractions, and tooling to effectively build and manage complex distributed systems
- Overcome stumbling blocks when using Go to build and manage a cloud native service
About the Author
Matthew Titmus is a seasoned veteran of the software development industry. 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. For the past several years he has specialized in helping companies migrate monolithic applications into a containerized, cloud-native world, allowing them to transform the way their services are developed, deployed, and managed. He is passionate about what it takes to make a system production quality, and has spent a lot of time thinking about and implementing strategies for observing and orchestrating distributed systems.
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