Secure Continuous Delivery On Google Cloud

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.

Discover various cloud services alongside modern software development practices and tools with the guidance of two industry leaders in DevOps Purchase of the print or Kindle book includes a free PDF eBook Key Features Modernize continuous delivery in the cloud with strategic goals and objectives Master continuous delivery with the right tools, applications, and use cases Perform multi-cluster and multi-cloud deployments efficiently Book DescriptionMany organizations are embracing cloud technology to remain competitive, but implementing and adopting development processes while modernizing a cloud-based ecosystem can be challenging. Strategizing Continuous Delivery in Cloud helps you modernize continuous delivery and achieve infrastructure-application convergence in the cloud. You’ll learn the differences between cloud-based and traditional delivery approaches and develop a tailored strategy. You’ll discover how to secure your cloud delivery environment, ensure software security, run different test types, and test in the pre-production and production stages. You’ll also get to grips with the prerequisites for onboarding cloud-based continuous delivery for organizational and technical aspects. Then, you’ll explore key aspects of readiness to overcome core challenges in your cloud journey, including GitOps, progressive delivery controllers, feature flagging, differences between cloud-based and traditional tools, and implementing cloud chaos engineering. By the end of this book, you’ll be well-equipped to select the right cloud environment and technologies for CD and be able to explore techniques for implementing CD in the cloud.What you will learn Uncover the foundation for modernizing continuous delivery and prepare for continuous delivery in cloud Build fast, efficient, secure, and interoperable software for real-world results Understand end-to-end continuous delivery for multi-cloud, hybrid, and on-premise Set up and scale continuous delivery in the cloud for maximum return Implement cost optimization for continuous delivery in the cloud Discover trends and advancements in CD with cloud-native technologies Who this book is forThis book is for developers, site reliability engineers, DevOps architects, and engineers looking to strategize, plan, and implement continuous delivery in the cloud. You must have a basic understanding of CI/CD concepts and be familiar with cloud ecosystem, DevOps, or CI/CD pipelines.

Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There's a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your application. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time messaging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs

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

Use DevOps principles with Google Cloud Platform (GCP) to develop applications and services. This book builds chapter by chapter to a complete real-life scenario, explaining how to build, monitor, and maintain a complete application using DevOps in practice. Starting with core DevOps concepts, continuous integration, and continuous delivery, you’ll cover common tools including Jenkins, Docker, and Kubernetes in the context of a real microservices application to deploy in the cloud. You will also create a monitor for your cloud and see how to use its data to prevent errors and improve the stability of the system. By the end of Pro DevOps with Google Cloud Platform, you will be able to deploy, maintain, and monitor a real application with GCP. What You Will LearnBuild and deploy applications and services using DevOps on Google Cloud Platform Maintain a complete continuous integration (CI) and continuous delivery (CD) pipeline Use containerization with Docker and Kubernetes Carry out CD with GCP and Jenkins Create microservices with Jenkins, Docker, and Kubernetes Monitor your newly deployed application and its deployment and performance Set up security and manage your network with GCP Who This Book Is For Developers and software architects who want to implement DevOps in practice. Some prior programming experience is recommended as well as a basic knowledge of a Linux command-line environment.

Enhance DevOps workflows by integrating the functionalities of Docker, Kubernetes, Spinnaker, Ansible, Terraform, Flux CD, CaaS, and more with the help of practical examples and expert tips Key Features Get up and running with containerization-as-a-service and infrastructure automation in the public cloud Learn container security techniques and secret management with Cloud KMS, Anchore Grype, and Grafeas Kritis Leverage the combination of DevOps, GitOps, and automation to continuously ship a package of software Book DescriptionContainers have entirely changed how developers and end-users see applications as a whole. With this book, you'll learn all about containers, their architecture and benefits, and how to implement them within your development lifecycle. You'll discover how you can transition from the traditional world of virtual machines and adopt modern ways of using DevOps to ship a package of software continuously. Starting with a quick refresher on the core concepts of containers, you'll move on to study the architectural concepts to implement modern ways of application development. You'll cover topics around Docker, Kubernetes, Ansible, Terraform, Packer, and other similar tools that will help you to build a base. As you advance, the book covers the core elements of cloud integration (AWS ECS, GKE, and other CaaS services), continuous integration, and continuous delivery (GitHub actions, Jenkins, and Spinnaker) to help you understand the essence of container management and delivery. The later sections of the book will take you through container pipeline security and GitOps (Flux CD and Terraform). By the end of this DevOps book, you'll have learned best practices for automating your development lifecycle and making the most of containers, infrastructure automation, and CaaS, and be ready to develop applications using modern tools and techniques.What you will learn Become well-versed with AWS ECS, Google Cloud Run, and Knative Discover how to build and manage secure Docker images efficiently Understand continuous integration with Jenkins on Kubernetes and GitHub actions Get to grips with using Spinnaker for continuous deployment/delivery Manage immutable infrastructure on the cloud with Packer, Terraform, and Ansible Explore the world of GitOps with GitHub actions, Terraform, and Flux CD Who this book is for If you are a software engineer, system administrator, or operations engineer looking to step into the world of DevOps within public cloud platforms, this book is for you. Existing DevOps engineers will also find this book useful as it covers best practices, tips, and tricks to implement DevOps with a cloud-native mindset. Although no containerization experience is necessary, a basic understanding of the software development life cycle and delivery will help you get the most out of the book.

Explore site reliability engineering practices and learn key Google Cloud Platform (GCP) services such as CSR, Cloud Build, Container Registry, GKE, and Cloud Operations to implement DevOps Key FeaturesLearn GCP services for version control, building code, creating artifacts, and deploying secured containerized applicationsExplore Cloud Operations features such as Metrics Explorer, Logs Explorer, and debug logpointsPrepare for the certification exam using practice questions and mock testsBook Description DevOps is a set of practices that help remove barriers between developers and system administrators, and is implemented by Google through site reliability engineering (SRE). With the help of this book, you'll explore the evolution of DevOps and SRE, before delving into SRE technical practices such as SLA, SLO, SLI, and error budgets that are critical to building reliable software faster and balance new feature deployment with system reliability. You'll then explore SRE cultural practices such as incident management and being on-call, and learn the building blocks to form SRE teams. The second part of the book focuses on Google Cloud services to implement DevOps via continuous integration and continuous delivery (CI/CD). You'll learn how to add source code via Cloud Source Repositories, build code to create deployment artifacts via Cloud Build, and push it to Container Registry. Moving on, you'll understand the need for container orchestration via Kubernetes, comprehend Kubernetes essentials, apply via Google Kubernetes Engine (GKE), and secure the GKE cluster. Finally, you'll explore Cloud Operations to monitor, alert, debug, trace, and profile deployed applications. By the end of this SRE book, you'll be well-versed with the key concepts necessary for gaining Professional Cloud DevOps Engineer certification with the help of mock tests. What you will learnCategorize user journeys and explore different ways to measure SLIsExplore the four golden signals for monitoring a user-facing systemUnderstand psychological safety along with other SRE cultural practicesCreate containers with build triggers and manual invocationsDelve into Kubernetes workloads and potential deployment strategiesSecure GKE clusters via private clusters, Binary Authorization, and shielded GKE nodesGet to grips with monitoring, Metrics Explorer, uptime checks, and alertingDiscover how logs are ingested via the Cloud Logging APIWho this book is for This book is for cloud system administrators and network engineers interested in resolving cloud-based operational issues. IT professionals looking to enhance their careers in administering Google Cloud services and users who want to learn about applying SRE principles and implementing DevOps in GCP will also benefit from this book. Basic knowledge of cloud computing, GCP services, and CI/CD and hands-on experience with Unix/Linux infrastructure is recommended. You'll also find this book useful if you're interested in achieving Professional Cloud DevOps Engineer certification.