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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

Using a deployment strategy

Cloud Deploy supports two deployment strategies for GKE, Cloud Run, and GKE Enterprise:

  • Standard: This is the default strategy. It deploys the new or changed application into the target runtime, fully replacing any previous version.
  • Canary: This strategy incrementally deploys the changed application into the target runtime, gradually replacing the old version with the new one by configured percentages. This can be by the percentage of traffic or by the percentage of GKE pods.

In this section, we’ll configure and run a simple canary that replaces the old version with the new, first by 50%, then fully. The manifest we created at the beginning of this chapter specifies four replicas. The first phase of this canary will split them so that two replicas are running the old version and two are running the new version. Then, the last phase (which is always the stable phase) will deploy the new version to all four replicas.

Configuring...

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