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ویرایش: 1 نویسندگان: Michael Elder, Jake Kitchener, Brad Topol سری: ISBN (شابک) : 149208381X, 9781492083818 ناشر: O'Reilly Media سال نشر: 2021 تعداد صفحات: 270 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 13 مگابایت
در صورت تبدیل فایل کتاب Hybrid Cloud Apps with OpenShift and Kubernetes: Delivering Highly Available Applications and Services به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب برنامه های ابری ترکیبی با OpenShift و Kubernetes: ارائه برنامه ها و خدمات بسیار در دسترس نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Copyright Table of Contents Foreword Preface Why We Wrote This Book Who This Book Is For How This Book Is Organized Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments Chapter 1. Kubernetes and OpenShift Overview Kubernetes: Cloud Infrastructure for Orchestrating Containerized Applications CNCF Accelerates the Growth of the Kubernetes Ecosystem OpenShift: Red Hat’s Distribution of Kubernetes Benefits of OpenShift for Developers Benefits of OpenShift for IT Operations Summary Chapter 2. Getting Started with OpenShift and Kubernetes Kubernetes Architecture Deployment Options for Kubernetes and OpenShift Red Hat’s CodeReady Containers IBM Cloud OpenShift Deployment Options Kubernetes and OpenShift Command-Line Tools Kubernetes Fundamentals What’s a Pod? How Do I Describe What’s in My Pod? Deployments Running the Pod and Deployment Examples in Production on OpenShift Service Accounts OpenShift Enhancements Authentication Projects Applications Security Context Constraints Image Streams Kubernetes and OpenShift Advanced Topics Webhooks Admission Controllers Role-Based Access Control Operators Summary Chapter 3. Advanced Resource Management Pod Resources and Scheduling Driving Scheduler Decisions via Resource Requests Node Available Resources Scheduling Pod Priority and Preemption Post-Scheduling Pod Life Cycle Pod Quality of Service Pod QoS Levels Testing Resource Limits Node Eviction Capacity Planning and Management Kubernetes Worker Node Capacity Kubernetes Master Capacity Admission Controller Best Practices Standard Admission Controllers Admission Webhooks Summary Chapter 4. Single Cluster Availability System Availability Measuring System Availability What Is a Highly Available System? OpenShift and Kubernetes Application and Service Availability Failure Modes Application Pod Failure Worker Node Failure Worker Zone Failure Control Plane Failure Network Failure Summary Chapter 5. Continuous Delivery Across Clusters Helm Kustomize Generators Composition Patches Overlays Direct Deploy of Kustomize-Generated Resource Files GitOps Razee Argo CD Tekton Tasks Pipelines OpenShift Pipelines Open Cluster Management Apps Summary Chapter 6. Multicluster Fleets: Provision and Upgrade Life Cycles Why Multicluster? Use Case: Using Multiple Clusters to Provide Regional Availability for Your Applications Use Case: Using Multiple Clusters for Multiple Tenants Use Case: Supporting Far-Edge Use Cases Where Clusters Do Not Run in Traditional Datacenters or Clouds Architectural Characteristics Provisioning Across Clouds User-Managed OpenShift Upgrading Your Clusters to the Latest Version of Kubernetes Summary of Multicloud Cluster Provisioning OpenShift as a Service Kubernetes as a Service Operating System Currency for Nodes Summary Chapter 7. Multicluster Policy Configuration Configuring Your Cluster with Operators Understanding Operators Example: Container Security Operator Using Cluster Operators to Manage OpenShift Example: Configuring the Authentication Operator OpenShift htpasswd Identity Provider Policy and Compliance Across Multiple Clusters Policy Example: Federate a Project Across Your Fleet PlacementRules to Assign Content to ManagedClusters Policy Example: Managing etcd Encryption Within ManagedClusters Policy Example: Managing RBAC Within ManagedClusters Policy Example: Managing IdPs Within ManagedClusters Policy Example: Managing Upgrades with Policy Across ManagedClusters Summary Chapter 8. Working Example of Multicluster Application Delivery Failure Is Inevitable Multicluster Load Balancing Automating Without Operators Deploying the Example Application Configure Your Hub Cluster Provision an OpenShift Cluster to Host the Open Cluster Management Hub Configure the Open Cluster Management Hub Provision Two or More Clusters to Host the Application Deploy Ansible Tower and the Ansible Resource Operator Configure Projects for ServiceNow and F5 DNS Load Balancer Configure the toweraccess Secret and Create the Ansible Tower Token Deploy the pacman-app Example to Your Cluster Summary Chapter 9. The Future of Kubernetes and OpenShift Increased Migration of Legacy Enterprise Applications to Cloud Native Applications Increased Adoption of Kubernetes for High Performance Computing Kubernetes and OpenShift Will Become the De Facto Platforms for Machine Learning and Deep Learning Open Cloud Marketplaces Will Accelerate Adoption of Cloud Native Applications OpenShift Will Be the Platform for Enterprise Multicloud Recommended Resources IBM Developer Website Learn OpenShift Kubernetes Website Kubernetes IBM Cloud Provider Special Interest Group Kubernetes Contributor Experience Special Interest Group Summary Index About the Authors Colophon