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 DescriptionContinuous 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.

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 DescriptionContinuous 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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Step-by-step guide for developing cloud native apps on GCP powered by hands-on interactive learning KEY FEATURES ● Cutting-edge coverage on Google Cloud Build, Cloud Run, GKE, Kubectl and Anthos. ● Includes tutorials and exercises to learn designing, deploying and running cloud native apps. ● Covers Service Mesh, Apps Optimization, logs monitoring and cloud IAM access. DESCRIPTION The book “Cloud Native Apps on Google Cloud Platform” teaches the readers how to design, construct, and maintain successful cloud-native apps using the Google Cloud Platform. With interactive tutorials, the book reinforces learning and helps to develop practical skills for working in an Agile and DevOps context. The book provides a step-by-step approach to building and managing cloud-native applications on Google Cloud Platform for Google Cloud Users, DevOps teams, and Cloud-Native Developers. First, you will investigate the advantages and applicability of each Google Serverless Computing option. You'll learn about Cloud Build and how to use it to prepare code files, create microservices, and build container images. The book walks readers through creating and running Docker image containers on Cloud Run and App Engine. You'll learn how to use kubectl to create and manage Kubernetes clusters, as well as how to configure the autoscaler for increased resilience and availability. You'll build a pipeline that uses Cloud Build to automate CI/CD and Pub/Sub to ingest streaming data. Finally, you'll have the opportunity to learn about Anthos, which enables you to manage massive GKE clusters in both Cloud and on-premises environments. WHAT YOU WILL LEARN ● Distinguish between using containers or microservices for cloud native apps. ● Build a streaming data pipeline using BigQuery and Dataflow using Pub/Sub. ● Practice to deploy and optimize cloud native applications on Kubernetes Engine. ● Build continuous integration/continuous delivery pipelines and improve Kubernetes apps. ● Learn to protect apps running on GCP from cyberattacks. WHO THIS BOOK IS FOR This book is meant for the Cloud and DevOps professionals and for those who wish to learn about Google Cloud services and incorporate them into end-to-end cloud applications. TABLE OF CONTENTS 1. Introducing Cloud Native Apps 2. Developing Cloud Native Apps with Cloud Shell 3. Preparing Source-Code with Cloud Build 4. Create and Deploy Microservices 5. Building and Deploying Containers in Cloud Build 6. Create a Serverless Pipeline with Pub/Sub, Dataflow and BigQuery 7. Container Orchestration with Google Kubernetes Engine 8. Deploying and Managing Kubernetes Applications 9. Optimizing Kubernetes Cluster and Apps in GKE 10. Deploying a CI/CD Pipeline with Kubernetes and Cloud Build 11. Build a Software Delivery Platform with Anthos 12. Application Management with Anthos 13. Securing Cloud Native Apps in Anthos

Explore the high-in demand core DevOps strategies with powerful DevOps tools such as Ansible, Jenkins, and Chef Key Features ●Get acquainted with methodologies and tools of the DevOps framework ●Perform continuous integration, delivery, deployment, and monitoring using DevOps tools ●Explore popular tools such as Git, Jenkins, Maven, Gerrit, Nexus, Selenium, and so on ●Embedded with assessments that will help you revise the concepts you have learned in this book Book Description DevOps is the most widely used software engineering culture and practice that aim sat software development and operation. Continuous integration is a cornerstone technique of DevOps that merges software code updates from developers into a shared central mainline. This book takes a practical approach and covers the tools and strategies of DevOps. It starts with familiarizing you with DevOps framework and then shows how toper form continuous delivery, integration, and deployment with DevOps. You will explore DevOps process maturity frameworks and progression models with checklist templates for each phase of DevOps. You will also be familiar with agile terminology, methodology, and the benefits accrued by an organization by adopting it. You will also get acquainted with popular tools such as Git, Jenkins ,Maven, Gerrit, Nexus, Selenium, and so on.You will learn configuration, automation, and the implementation of infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible. This book is ideal for engineers, architects, and developers, who wish to learn the core strategies of DevOps. What you will learn ●Get familiar with life cycle models, maturity states, progression and best practices of DevOps frameworks ●Learn to set up Jenkins and integrate it with Git ●Know how to build jobs and perform testing with Jenkins ●Implement infrastructure automation (Infrastructure as Code) with tools such as Chef and Ansible ●Understand continuous monitoring process with tools such as Splunk and Nagios ●Learn how Splunk improves the code quality Who this book is for This book is for engineers, architects, and developers, who wish to learn the core strategies of DevOps.

Continuous delivery adds enormous value to the business and the entire software delivery lifecycle, but adopting this practice means mastering new skills typically outside of a developer’s comfort zone. In this practical book, Daniel Bryant and Abraham Marín-Pérez provide guidance to help experienced Java developers master skills such as architectural design, automated quality assurance, and application packaging and deployment on a variety of platforms. Not only will you learn how to create a comprehensive build pipeline for continually delivering effective software, but you’ll also explore how Java application architecture and deployment platforms have affected the way we rapidly and safely deliver new software to production environments. Get advice for beginning or completing your migration to continuous delivery Design architecture to enable the continuous delivery of Java applications Build application artifacts including fat JARs, virtual machine images, and operating system container (Docker) images Use continuous integration tooling like Jenkins, PMD, and find-sec-bugs to automate code quality checks Create a comprehensive build pipeline and design software to separate the deploy and release processes Explore why functional and system quality attribute testing is vital from development to delivery Learn how to effectively build and test applications locally and observe your system while it runs in production

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