Secure continuous delivery on Google Cloud implement an automated and secure software delivery pipeline on Google Cloud using native services
Author
Published
Birmingham, UK : Packt Publishing Ltd., 2024.
Status
Available Online
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Format
Edition
1st edition.
Language
English
ISBN
9781805127642, 1805127640
Notes
Description
Build an end-to-end continuous delivery pipeline on Google Cloud and secure your software supply chain using GCP tools and services including Cloud Code, Cloud Workstations, Cloud Build, Artifact Registry, and Cloud Deploy Key Features Gain hands-on experience building an end-to-end software delivery pipeline using Google Cloud services Deploy your applications on GKE, Cloud Run, and across hybrid and multi-cloud environments Secure pipelines with artifact scanning, dependency vulnerability checks, signed provenance, and admission control Purchase of the print or Kindle book includes a free PDF eBook Book Description Continuous delivery, a cornerstone of modern software engineering, facilitates quick and secure software delivery using a robust toolkit encompassing automated builds, testing, source code management, artifact storage, and deployment. Whether you integrate tools from different providers or use a set of managed services from a single cloud provider, the goal is to streamline setup, integration, and management. This book focuses on continuous delivery on Google Cloud. Starting with an introduction to continuous delivery and secure software supply chain concepts, this book uses hands-on exercises to demonstrate how to continuously test your application with Skaffold and Cloud Code, leverage AI-assisted code generation with Cloud Code and Cloud Workstations, and automate your continuous integration with Cloud Build. You'll see how to store and scan your software artifacts on Artifact Registry, orchestrate deployments with Cloud Deploy, and release your software on GKE and Cloud Run, configured to admit only trusted code. Using an example application, you'll implement tools for creating an end-to-end delivery pipeline using Google Cloud services. By the end of this book, you'll be able to build a secure software delivery pipeline from development to production using Google Cloud managed services and best practices. What you will learn Create an end-to-end continuous delivery pipeline using Cloud Build, Artifact Registry, and Cloud Deploy Develop, build, and deploy container-based applications with Skaffold and Cloud Code Experiment with AI-assisted code generation in Cloud Code Automate continuous integration with Cloud Build triggers Automate deployment on GKE and Cloud Run through Cloud Deploy Enhance pipeline security with Artifact Analysis, Binary Authorization, and SLSA Apply best practices, including logging and monitoring Who this book is for This book is for DevOps, Platform, and Cloud Engineers tasked with managing application deployment and creating continuous delivery pipelines who want to automate workflows in a fully managed, scalable, and secure platform. Software developers involved in application delivery and interested in harnessing Google Cloud tools to optimize development flow status and feedback loop will also find this book useful. Prior knowledge of Google Cloud fundamentals (including Cloud APIs and IAM), software delivery, containerization, and Kubernetes will enhance the reading experience.
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Citations
APA Citation, 7th Edition (style guide)
Galloro, G., Avery, N., & Dorbin, D. (2024). Secure continuous delivery on Google Cloud: implement an automated and secure software delivery pipeline on Google Cloud using native services (1st edition.). Packt Publishing Ltd..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Galloro, Giovanni, Nathaniel, Avery and David, Dorbin. 2024. Secure Continuous Delivery On Google Cloud: Implement an Automated and Secure Software Delivery Pipeline On Google Cloud Using Native Services. Birmingham, UK: Packt Publishing Ltd.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Galloro, Giovanni, Nathaniel, Avery and David, Dorbin. Secure Continuous Delivery On Google Cloud: Implement an Automated and Secure Software Delivery Pipeline On Google Cloud Using Native Services Birmingham, UK: Packt Publishing Ltd, 2024.
Harvard Citation (style guide)Galloro, G., Avery, N. and Dorbin, D. (2024). Secure continuous delivery on google cloud: implement an automated and secure software delivery pipeline on google cloud using native services. 1st edn. Birmingham, UK: Packt Publishing Ltd.
MLA Citation, 9th Edition (style guide)Galloro, Giovanni,, Nathaniel Avery, and David Dorbin. Secure Continuous Delivery On Google Cloud: Implement an Automated and Secure Software Delivery Pipeline On Google Cloud Using Native Services 1st edition., Packt Publishing Ltd., 2024.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
114b19d9-be78-b2aa-76bf-123c6654aa92-eng
Grouping Information
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| Author | galloro giovanni |
| Grouping Category | book |
| Last Update | 2025-01-24 12:33:29PM |
| Last Indexed | 2025-04-30 03:05:20AM |
Book Cover Information
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| First Loaded | Jan 15, 2025 |
| Last Used | Mar 1, 2025 |
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| 505 | 0 | |a Cover -- Copyright -- Foreword -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction and Code Your Application -- Chapter 1: Introducing Continuous Delivery and Software Supply Chain Security -- Introduction to CD -- CD practices -- The impact of CD on software delivery performance -- Understanding continuous integration -- How to implement CI -- Understanding continuous testing -- Test types -- Implementing continuous testing -- Understanding deployment automation -- Implementing deployment automation -- Securing your software delivery pipeline | |
| 505 | 8 | |a Source code management threats and remediations -- Build threats and remediations -- Dependency threats and remediations -- Summary -- Chapter 2: Using Skaffold for Development, Build, and Deploy -- Technical requirements -- Understanding Skaffold's capabilities and architecture -- Skaffold for building -- Skaffold for deploying -- Skaffold's architecture -- Installing Skaffold -- Using Skaffold with your application -- Initializing your repository using skaffold init -- Testing your application while you code using skaffold dev -- Building your application using skaffold build | |
| 505 | 8 | |a Testing your application using skaffold test -- Deploying your application using skaffold deploy -- Deploying and rendering separately using skaffold render and skaffold apply -- Running the end-to-end pipeline using skaffold run -- Managing deployment in different environments -- Cleaning up -- Summary -- Chapter 3: Developing and Testing with Cloud Code -- Technical requirements -- About Cloud Code -- Continuously deploying and testing locally while you code -- Checking application logs from your editor -- Creating a GKE cluster from your editor | |
| 505 | 8 | |a Continuously deploying and testing a Kubernetes app remotely while you code -- Debugging -- Code with AI assistance -- Getting help to understand code -- Generating code -- Cleaning up -- Summary -- Chapter 4: Securing Your Code with Cloud Workstations -- Technical requirements -- Introduction to Cloud Workstations -- Cloud Workstations architecture -- Configuring workstations for developers -- Creating a workstation cluster -- Creating a workstation configuration for the base editor -- Creating a workstation configuration for the IntelliJ IDEA Ultimate IDE | |
| 505 | 8 | |a Creating workstations and assigning them to developers -- Customizing Cloud Workstations -- Creating a custom image and workstation configuration -- Updating Cloud workstations -- Coding on Cloud Workstations -- Accessing a Cloud workstation configured with the base editor -- Accessing a Cloud workstation configured with a JetBrains IDE -- Cleaning up -- Summary -- Part 2: Build and Package Your Application -- Chapter 5: Automating Continuous Integration with Cloud Build -- Technical requirements -- Cloud Build architecture and capabilities -- Building your application manually | |
| 520 | |a Build an end-to-end continuous delivery pipeline on Google Cloud and secure your software supply chain using GCP tools and services including Cloud Code, Cloud Workstations, Cloud Build, Artifact Registry, and Cloud Deploy Key Features Gain hands-on experience building an end-to-end software delivery pipeline using Google Cloud services Deploy your applications on GKE, Cloud Run, and across hybrid and multi-cloud environments Secure pipelines with artifact scanning, dependency vulnerability checks, signed provenance, and admission control Purchase of the print or Kindle book includes a free PDF eBook Book Description Continuous delivery, a cornerstone of modern software engineering, facilitates quick and secure software delivery using a robust toolkit encompassing automated builds, testing, source code management, artifact storage, and deployment. Whether you integrate tools from different providers or use a set of managed services from a single cloud provider, the goal is to streamline setup, integration, and management. This book focuses on continuous delivery on Google Cloud. Starting with an introduction to continuous delivery and secure software supply chain concepts, this book uses hands-on exercises to demonstrate how to continuously test your application with Skaffold and Cloud Code, leverage AI-assisted code generation with Cloud Code and Cloud Workstations, and automate your continuous integration with Cloud Build. You'll see how to store and scan your software artifacts on Artifact Registry, orchestrate deployments with Cloud Deploy, and release your software on GKE and Cloud Run, configured to admit only trusted code. Using an example application, you'll implement tools for creating an end-to-end delivery pipeline using Google Cloud services. By the end of this book, you'll be able to build a secure software delivery pipeline from development to production using Google Cloud managed services and best practices. What you will learn Create an end-to-end continuous delivery pipeline using Cloud Build, Artifact Registry, and Cloud Deploy Develop, build, and deploy container-based applications with Skaffold and Cloud Code Experiment with AI-assisted code generation in Cloud Code Automate continuous integration with Cloud Build triggers Automate deployment on GKE and Cloud Run through Cloud Deploy Enhance pipeline security with Artifact Analysis, Binary Authorization, and SLSA Apply best practices, including logging and monitoring Who this book is for This book is for DevOps, Platform, and Cloud Engineers tasked with managing application deployment and creating continuous delivery pipelines who want to automate workflows in a fully managed, scalable, and secure platform. Software developers involved in application delivery and interested in harnessing Google Cloud tools to optimize development flow status and feedback loop will also find this book useful. Prior knowledge of Google Cloud fundamentals (including Cloud APIs and IAM), software delivery, containerization, and Kubernetes will enhance the reading experience. | ||
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