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ویرایش: نویسندگان: Justin Domingus, John Arundel سری: ISBN (شابک) : 9781098116828 ناشر: O'Reilly Media, Inc. سال نشر: 2022 تعداد صفحات: زبان: English فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 5 Mb
در صورت تبدیل فایل کتاب Cloud Native DevOps with Kubernetes, 2nd Edition 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 Cloud Native DevOps با Kubernetes، نسخه دوم 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 to the Second Edition Foreword to the First Edition Preface Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments Chapter 1. Revolution in the Cloud The Creation of the Cloud Buying Time Infrastructure as a Service The Dawn of DevOps Improving Feedback Loops What Does DevOps Mean? Infrastructure as Code Learning Together The Coming of Containers The State of the Art Thinking Inside the Box Putting Software in Containers Plug and Play Applications Conducting the Container Orchestra Kubernetes From Borg to Kubernetes Why Kubernetes? Will Kubernetes Disappear? Kubernetes Is Not a Panacea Cloud Native The Future of Operations Distributed DevOps Some Things Will Remain Centralized Developer Productivity Engineering You Are the Future Summary Chapter 2. First Steps with Kubernetes Running Your First Container Installing Docker Desktop What Is Docker? Running a Container Image The Demo Application Looking at the Source Code Introducing Go How the Demo App Works Building a Container Understanding Dockerfiles Minimal Container Images Running Docker Image Build Naming Your Images Port Forwarding Container Registries Authenticating to the Registry Naming and Pushing Your Image Running Your Image Hello, Kubernetes Running the Demo App If the Container Doesn’t Start Minikube Summary Chapter 3. Getting Kubernetes Cluster Architecture The Control Plane Node Components High Availability The Costs of Self-Hosting Kubernetes It’s More Work Than You Think It’s Not Just About the Initial Setup Tools Don’t Do All the Work for You Kubernetes the Hard Way Kubernetes Is Hard Administration Overhead Start with Managed Services Managed Kubernetes Services Google Kubernetes Engine (GKE) Cluster Autoscaling Autopilot Amazon Elastic Kubernetes Service (EKS) Azure Kubernetes Service (AKS) IBM Cloud Kubernetes Service DigitalOcean Kubernetes Kubernetes Installers kops Kubespray kubeadm Rancher Kubernetes Engine (RKE) Puppet Kubernetes Module Buy or Build: Our Recommendations Run Less Software Use Managed Kubernetes if You Can But What About Vendor Lock-in? Bare-Metal and On-Prem Multicloud Kubernetes Clusters OpenShift Anthos Use Standard Kubernetes Self-Hosting Tools if You Must Clusterless Container Services AWS Fargate Azure Container Instances (ACI) Google Cloud Run Summary Chapter 4. Working with Kubernetes Objects Deployments Supervising and Scheduling Restarting Containers Creating Deployments Pods ReplicaSets Maintaining Desired State The Kubernetes Scheduler Resource Manifests in YAML Format Resources Are Data Deployment Manifests Using kubectl apply Service Resources Querying the Cluster with kubectl Taking Resources to the Next Level Helm: A Kubernetes Package Manager Installing Helm Installing a Helm Chart Charts, Repositories, and Releases Listing Helm Releases Summary Chapter 5. Managing Resources Understanding Resources Resource Units Resource Requests Resource Limits Quality of Service Managing the Container Life Cycle Liveness Probes Probe Delay and Frequency Other Types of Probes Readiness Probes Startup Probes gRPC Probes File-Based Readiness Probes minReadySeconds Pod Disruption Budgets Using Namespaces Working with Namespaces What Namespaces Should I Use? Service Addresses Resource Quotas Default Resource Requests and Limits Optimizing Cluster Costs Kubecost Optimizing Deployments Optimizing Pods Vertical Pod Autoscaler Optimizing Nodes Optimizing Storage Cleaning Up Unused Resources Checking Spare Capacity Using Reserved Instances Using Preemptible (Spot) Instances Keeping Your Workloads Balanced Summary Chapter 6. Operating Clusters Cluster Sizing and Scaling Capacity Planning Nodes and Instances Scaling the Cluster Conformance Checking CNCF Certification Conformance Testing with Sonobuoy Kubernetes Audit Logging Chaos Testing Only Production Is Production chaoskube kube-monkey PowerfulSeal Summary Chapter 7. Kubernetes Power Tools Mastering kubectl Shell Aliases Using Short Flags Abbreviating Resource Types Auto-Completing kubectl Commands Getting Help Getting Help on Kubernetes Resources Showing More Detailed Output Working with JSON Data and jq Watching Objects Describing Objects Working with Resources Imperative kubectl Commands When Not to Use Imperative Commands Generating Resource Manifests Exporting Resources Diffing Resources Working with Containers Viewing a Container’s Logs Attaching to a Container Watching Kubernetes Resources with kubespy Forwarding a Container Port Executing Commands on Containers Running Containers for Troubleshooting Using BusyBox Commands Adding BusyBox to Your Containers Installing Programs on a Container Contexts and Namespaces kubeconfig files kubectx and kubens kube-ps1 Kubernetes Shells and Tools kube-shell Click kubed-sh Stern Kubernetes IDEs Lens VS Code Kubernetes Extension Building Your Own Kubernetes Tools Summary Chapter 8. Running Containers Containers and Pods What Is a Container? Container Runtimes in Kubernetes What Belongs in a Container? What Belongs in a Pod? Container Manifests Image Identifiers The latest Tag Container Digests Base Image Tags Ports Resource Requests and Limits Image Pull Policy Environment Variables Container Security Running Containers as a Non-Root User Blocking Root Containers Setting a Read-Only Filesystem Disabling Privilege Escalation Capabilities Pod Security Contexts Pod Service Accounts Volumes emptyDir Volumes Persistent Volumes Restart Policies Image Pull Secrets Init Containers Summary Chapter 9. Managing Pods Labels What Are Labels? Selectors More Advanced Selectors Other Uses for Labels Labels and Annotations Node Affinities Hard Affinities Soft Affinities Pod Affinities and Anti-Affinities Keeping Pods Together Keeping Pods Apart Soft Anti-Affinities When to Use Pod Affinities Taints and Tolerations Pod Controllers DaemonSets StatefulSets Jobs CronJobs Horizontal Pod Autoscalers Operators and Custom Resource Definitions (CRDs) Ingress Ingress Controllers Ingress Rules Terminating TLS with Ingress Service Mesh Istio Linkerd Consul Connect NGINX Service Mesh Summary Chapter 10. Configuration and Secrets ConfigMaps Creating ConfigMaps Setting Environment Variables from ConfigMaps Setting the Whole Environment from a ConfigMap Using Environment Variables in Command Arguments Creating Config Files from ConfigMaps Updating Pods on a Config Change Kubernetes Secrets Using Secrets as Environment Variables Writing Secrets to Files Reading Secrets Access to Secrets Encryption at Rest Keeping Secrets and ConfigMaps Secrets Management Strategies Encrypt Secrets in Version Control Use a Dedicated Secrets Management Tool Encrypting Secrets with Sops Encrypting a File with Sops Using a KMS Backend Sealed Secrets Summary Chapter 11. Security, Backups, and Cluster Health Access Control and Permissions Managing Access by Cluster Introducing Role-Based Access Control (RBAC) Understanding Roles Binding Roles to Users What Roles Do I Need? Guard Access to cluster-admin Applications and Deployment RBAC Troubleshooting Cluster Security Scanning Gatekeeper/OPA kube-bench Kubescape Container Security Scanning Clair Aqua Anchore Engine Synk Backups Do I Need to Back Up Kubernetes? Backing Up etcd Backing Up Resource State Backing Up Cluster State Large and Small Disasters Velero Monitoring Cluster Status kubectl CPU and Memory Utilization Cloud Provider Console Kubernetes Dashboard Weave Scope kube-ops-view node-problem-detector Further Reading Summary Chapter 12. Deploying Kubernetes Applications Building Manifests with Helm What’s Inside a Helm Chart? Helm Templates Interpolating Variables Quoting Values in Templates Specifying Dependencies Deploying Helm Charts Setting Variables Specifying Values in a Helm Release Updating an App with Helm Rolling Back to Previous Versions Creating a Helm Chart Repo Managing Helm Chart Secrets with Sops Managing Multiple Charts with Helmfile What’s in a Helmfile? Chart Metadata Applying the Helmfile Advanced Manifest Management Tools kustomize Tanka Kapitan kompose Ansible kubeval Summary Chapter 13. Development Workflow Development Tools Skaffold Telepresence Waypoint Knative OpenFaaS Crossplane Deployment Strategies Rolling Updates Recreate maxSurge and maxUnavailable Blue/Green Deployments Rainbow Deployments Canary Deployments Handling Migrations with Helm Helm Hooks Handling Failed Hooks Other Hooks Chaining Hooks Summary Chapter 14. Continuous Deployment in Kubernetes What Is Continuous Deployment? Which CD Tool Should I Use? Hosted CI/CD Tools Azure Pipelines Google Cloud Build Codefresh GitHub Actions GitLab CI Self-Hosted CI/CD Tools Jenkins Drone Tekton Concourse Spinnaker Argo Keel A CI/CD Pipeline with Cloud Build Setting Up Google Cloud and GKE Forking the Demo Repository Create Artifact Registry Container Repository Configuring Cloud Build Building the Test Container Running the Tests Building the Application Container Substitution Variables Git SHA Tags Validating the Kubernetes Manifests Publishing the Image Creating the First Build Trigger Testing the Trigger Deploying from a CI/CD Pipeline Creating a Deploy Trigger Adapting the Example Pipeline GitOps Flux Summary Chapter 15. Observability and Monitoring What Is Observability? What Is Monitoring? Closed-Box Monitoring What Does “Up” Mean? Logging Introducing Metrics Tracing Observability The Observability Pipeline Monitoring in Kubernetes External Closed-Box Checks Internal Health Checks Summary Chapter 16. Metrics in Kubernetes What Are Metrics, Really? Time-Series Data Counters and Gauges What Can Metrics Tell Us? Choosing Good Metrics Services: The RED Pattern Resources: The USE Pattern Business Metrics Kubernetes Metrics Analyzing Metrics What’s Wrong with a Simple Average? Means, Medians, and Outliers Discovering Percentiles Applying Percentiles to Metrics Data We Usually Want to Know the Worst Beyond Percentiles Graphing Metrics with Dashboards Use a Standard Layout for All Services Build an Information Radiator with Primary Dashboards Dashboard Things That Break Alerting on Metrics What’s Wrong with Alerts? On-Call Should Not Be Hell Urgent, Important, and Actionable Alerts Track Your Alerts, Out-of-Hours Pages, and Wake-Ups Metrics Tools and Services Prometheus Google Operations Suite AWS CloudWatch Azure Monitor Datadog New Relic Summary Afterword Where to Go Next Second Edition Notes Welcome Aboard Index About the Authors Colophon