Cloud Native Development with Google Cloud: Building Applications at Speed and Scale
暫譯: 使用 Google Cloud 的雲原生開發:快速與大規模構建應用程式
Vaughan, Daniel
- 出版商: O'Reilly
- 出版日期: 2023-12-19
- 定價: $2,210
- 售價: 9.0 折 $1,989
- 語言: 英文
- 頁數: 264
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1098145089
- ISBN-13: 9781098145088
-
相關分類:
Google Cloud
立即出貨 (庫存=1)
Oreilly英文書展|任選2書8折 詳見活動內容 »
-
90折
$2,592Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications -
90折
$2,592Data Engineering for Multimodal AI: Architecting Scalable Systems for Next-Generation AI Applications -
90折
$2,592Practical Mlflow for Generative AI on Databricks: Build High-Quality AI Agents from Prompt Design to Production -
90折
$2,457MLOps with Databricks: Machine Learning and Genai Applications End to End -
VIP 95折
An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with Llms, Tools, and Memory$2,770$2,631 -
90折
$2,520Blue Team Handbook: Soc, Siem, and Threat Hunting: Practical Techniques for Security Operations and Threat Hunting Teams -
90折
$1,944Building Agentic Solutions with Microsoft Foundry: Patterns, Workflows, and Best Practices for Intelligent Agents -
90折
$1,917Learning Cybersecurity Fundamentals: A Practical Guide to Essential Cybersecurity Concepts -
VIP 95折
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing$2,770$2,631 -
90折
$2,484Comptia Linux+ Study Guide: Essential Exam Prep -
90折
$2,520Video Generation with AI: Working with Diffusion Transformers and Multimodal Learning (Paperback) -
90折
$1,890Mapping Experiences: A Complete Guide to Activating Customer-Centered Collaboration 3/e -
90折
$2,493Databricks Certified Generative AI Engineer Associate Study Guide: Generative AI with Databricks -
90折
$2,502Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python -
90折
$2,268Observability Engineering: Achieving Production Excellence, 2/e (Paperback) -
90折
$1,935Soccer Analytics with Machine Learning: Learning Predictive Modeling Techniques with Sports Data -
90折
$1,926The C4 Model: Visualizing Software Architecture (Paperback) -
90折
$1,935Learning Cloud Security: Cloud Computing and Security Architecture Essentials -
90折
$2,502Vision Language Models: Building Vlms with Hugging Face (Paperback) -
90折
$2,142High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark 2/e -
90折
$1,944Python for Excel: A Modern Environment for Automation and Data Analysis -
90折
$1,440Managing AI Projects: Drive Innovation and Successfully Navigate the Full AI Project Lifecycle (Paperback) -
90折
$2,520AI-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation (Paperback) -
90折
$1,917Certified Kubernetes Application Developer (Ckad) Study Guide: In-Depth Guidance and Practice (Paperback) -
90折
$2,484Large Language Models: The Hard Parts: Open Source AI Solutions for Common Pitfalls (Paperback)
相關主題
商品描述
Cloud native development gives you the power to rapidly build, secure, and scale software. But you still need to navigate many potential pitfalls along the way. Through practical examples, this book demonstrates how to use Google Cloud as a laboratory to enable rapid innovation, a factory to automate build and testing, and a citadel to operate applications at scale securely.
Author Daniel Vaughan shows you how to take applications from prototype to production by combining Google Cloud services, a cloud native programming model, and best practices. By following an example project from start to finish, developers, architects, and engineering managers working with the Google Cloud Platform will learn how to build and run cloud native applications on Google Cloud with confidence.
With this book, you will:
- Understand cloud native development concepts including microservices, containerization, and event-driven architecture
- Learn Google Cloud services that specifically support this development style: compute, persistence, messaging, DevOps, security and networking, and observability
- Confidently build cloud native applications on Google Cloud
- Learn how to address nonfunctional requirements such as security, observability, and testing
- Successfully make the transition from initial proofs of concept and prototypes to production systems
商品描述(中文翻譯)
雲原生開發使您能夠快速構建、安全性高且可擴展的軟體。但在這個過程中,您仍需小心許多潛在的陷阱。本書通過實際範例,展示如何使用 Google Cloud 作為實驗室以促進快速創新,作為自動化構建和測試的工廠,以及作為安全運行應用程式的堡壘。
作者 Daniel Vaughan 向您展示如何通過結合 Google Cloud 服務、雲原生程式設計模型和最佳實踐,將應用程式從原型轉移到生產環境。通過從頭到尾跟隨一個範例專案,與 Google Cloud Platform 一起工作的開發人員、架構師和工程經理將學會如何在 Google Cloud 上自信地構建和運行雲原生應用程式。
通過本書,您將:
- 了解雲原生開發概念,包括微服務、容器化和事件驅動架構
- 學習專門支持此開發風格的 Google Cloud 服務:計算、持久性、消息傳遞、DevOps、安全性和網路、以及可觀察性
- 自信地在 Google Cloud 上構建雲原生應用程式
- 學習如何解決非功能性需求,如安全性、可觀察性和測試
- 成功地從初步概念驗證和原型過渡到生產系統