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Secure Continuous Delivery on Google Cloud

Secure Continuous Delivery on Google Cloud

By : Galloro, Avery, Dorbin
5 (3)
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Secure Continuous Delivery on Google Cloud

Secure Continuous Delivery on Google Cloud

5 (3)
By: Galloro, Avery, Dorbin

Overview of this book

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.
Table of Contents (19 chapters)
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1
Part 1:Introduction and Code Your Application
6
Part 2: Build and Package Your Application
9
Part 3: Deploy and Run Your Application
13
Part 4: Hands-On Secure Pipeline Delivery and Looking Forward

Demonstrating an End-to-End Software Delivery Pipeline

In this chapter, we will use all the Google Cloud tools that we’ve described in the book to build an end-to-end pipeline, from code to production, given an example application.

You’ll update your app in Cloud Code, commit your changes to trigger a build in Cloud Build, scan for vulnerabilities using Artifact Registry, and use Cloud Deploy to deploy your app in a QA GKE cluster, where integration and usability tests can be performed, and then deploy it using a canary deployment strategy to a production GKE cluster.

Performing the steps in this chapter gives you a chance to practice the complete software delivery flow in Google Cloud.

To avoid confusion, note that this chapter uses the terms pipeline and software delivery pipeline to refer to the components and processes that make up your end-to-end delivery journey. But in a Cloud Deploy context, a delivery pipeline is a specific Cloud Deploy resource that...

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