
Kubernetes: Up and Running: Dive into the Future of Infrastructure, 3rd Edition
- Length: 326 pages
- Edition: 3
- Language: English
- Publisher: O'Reilly Media
- Publication Date: 2022-09-13
- ISBN-10: 109811020X
- ISBN-13: 9781098110208
- Sales Rank: #402297 (See Top 100 Books)
follow site In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book’s updated third edition, you’ll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency–whether you’re new to distributed systems or have been deploying cloud native apps for some time.
go hereBuy Genuine Valium Online Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson–who have worked on Kubernetes at Google and beyond–explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers.
Buy Generic Diazepamsource This guide shows you how to:
here- Create a simple cluster to learn how Kubernetes works
- Dive into the details of deploying an application using Kubernetes
- Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets
- Explore deployments that tie together the lifecycle of a complete application
- Get practical examples of how to develop and deploy real-world applications in Kubernetes
see Preface Who Should Read This Book Why We Wrote This Book Why We Updated This Book A Word on Cloud Native Applications Today Navigating This Book Online Resources Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments 1. Introduction Velocity The Value of Immutability Declarative Configuration Self-Healing Systems Scaling Your Service and Your Teams Decoupling Easy Scaling for Applications and Clusters Scaling Development Teams with Microservices Separation of Concerns for Consistency and Scaling Abstracting Your Infrastructure Efficiency Cloud Native Ecosystem Summary 2. Creating and Running Containers Container Images Building Application Images with Docker Dockerfiles Optimizing Image Sizes Image Security Multistage Image Builds Storing Images in a Remote Registry The Container Runtime Interface Running Containers with Docker Exploring the kuard Application Limiting Resource Usage Cleanup Summary 3. Deploying a Kubernetes Cluster Installing Kubernetes on a Public Cloud Provider Installing Kubernetes with Google Kubernetes Engine Installing Kubernetes with Azure Kubernetes Service Installing Kubernetes on Amazon Web Services Installing Kubernetes Locally Using minikube Running Kubernetes in Docker The Kubernetes Client Checking Cluster Status Listing Kubernetes Nodes Cluster Components Kubernetes Proxy Kubernetes DNS Kubernetes UI Summary 4. Common kubectl Commands Namespaces Contexts Viewing Kubernetes API Objects Creating, Updating, and Destroying Kubernetes Objects Labeling and Annotating Objects Debugging Commands Cluster Management Command Autocompletion Alternative Ways of Viewing Your Cluster Summary 5. Pods Pods in Kubernetes Thinking with Pods The Pod Manifest Creating a Pod Creating a Pod Manifest Running Pods Listing Pods Pod Details Deleting a Pod Accessing Your Pod Getting More Information with Logs Running Commands in Your Container with exec Copying Files to and from Containers Health Checks Liveness Probe Readiness Probe Startup Probe Advanced Probe Configuration Other Types of Health Checks Resource Management Resource Requests: Minimum Required Resources Capping Resource Usage with Limits Persisting Data with Volumes Using Volumes with Pods Different Ways of Using Volumes with Pods Putting It All Together Summary 6. Labels and Annotations Labels Applying Labels Modifying Labels Label Selectors Label Selectors in API Objects Labels in the Kubernetes Architecture Annotations Cleanup Summary 7. Service Discovery What Is Service Discovery? The Service Object Service DNS Readiness Checks Looking Beyond the Cluster Load Balancer Integration Advanced Details Endpoints Manual Service Discovery kube-proxy and Cluster IPs Cluster IP Environment Variables Connecting with Other Environments Connecting to Resources Outside of a Cluster Connecting External Resources to Services Inside a Cluster Cleanup Summary 8. HTTP Load Balancing with Ingress Ingress Spec Versus Ingress Controllers Installing Contour Configuring DNS Configuring a Local hosts File Using Ingress Simplest Usage Using Hostnames Using Paths Cleanup Advanced Ingress Topics and Gotchas Running Multiple Ingress Controllers Multiple Ingress Objects Ingress and Namespaces Path Rewriting Serving TLS Alternate Ingress Implementations The Future of Ingress Summary 9. ReplicaSets Reconciliation Loops Relating Pods and ReplicaSets Adopting Existing Containers Quarantining Containers Designing with ReplicaSets ReplicaSet Spec Pod Templates Labels Creating a ReplicaSet Inspecting a ReplicaSet Finding a ReplicaSet from a Pod Finding a Set of Pods for a ReplicaSet Scaling ReplicaSets Imperative Scaling with kubectl scale Declaratively Scaling with kubectl apply Autoscaling a ReplicaSet Deleting ReplicaSets Summary 10. Deployments Your First Deployment Creating Deployments Managing Deployments Updating Deployments Scaling a Deployment Updating a Container Image Rollout History Deployment Strategies Recreate Strategy RollingUpdate Strategy Slowing Rollouts to Ensure Service Health Deleting a Deployment Monitoring a Deployment Summary 11. DaemonSets DaemonSet Scheduler Creating DaemonSets Limiting DaemonSets to Specific Nodes Adding Labels to Nodes Node Selectors Updating a DaemonSet Deleting a DaemonSet Summary 12. Jobs The Job Object Job Patterns One Shot Parallelism Work Queues CronJobs Summary 13. ConfigMaps and Secrets ConfigMaps Creating ConfigMaps Using a ConfigMap Secrets Creating Secrets Consuming Secrets Private Container Registries Naming Constraints Managing ConfigMaps and Secrets Listing Creating Updating Summary 14. Role-Based Access Control for Kubernetes Role-Based Access Control Identity in Kubernetes Understanding Roles and Role Bindings Roles and Role Bindings in Kubernetes Techniques for Managing RBAC Testing Authorization with can-i Managing RBAC in Source Control Advanced Topics Aggregating ClusterRoles Using Groups for Bindings Summary 15. Service Meshes Encryption and Authentication with Mutal TLS Traffic Shaping Introspection Do You Really Need a Service Mesh? Introspecting a Service Mesh Implementation Service Mesh Landscape Summary 16. Integrating Storage Solutions and Kubernetes Importing External Services Services Without Selectors Limitations of External Services: Health Checking Running Reliable Singletons Running a MySQL Singleton Dynamic Volume Provisioning Kubernetes-Native Storage with StatefulSets Properties of StatefulSets Manually Replicated MongoDB with StatefulSets Automating MongoDB Cluster Creation Persistent Volumes and StatefulSets One Final Thing: Readiness Probes Summary 17. Extending Kubernetes What It Means to Extend Kubernetes Points of Extensibility Patterns for Custom Resources Just Data Compilers Operators Getting Started Summary 18. Accessing Kubernetes from Common Programming Languages The Kubernetes API: A Client’s Perspective OpenAPI and Generated Client Libraries But What About kubectl x? Programming the Kubernetes API Installing the Client Libraries Authenticating to the Kubernetes API Accessing the Kubernetes API Putting It All Together: Listing and Creating Pods in Python, Java, and .NET Creating and Patching Objects Watching Kubernetes APIs for Changes Interacting with Pods Summary 19. Securing Applications in Kubernetes Understanding SecurityContext SecurityContext Challenges Pod Security What Is Pod Security? Applying Pod Security Standards Service Account Management Role-Based Access Control RuntimeClass Network Policy Service Mesh Security Benchmark Tools Image Security Summary 20. Policy and Governance for Kubernetes Clusters Why Policy and Governance Matter Admission Flow Policy and Governance with Gatekeeper What Is Open Policy Agent? Installing Gatekeeper Configuring Policies Understanding Constraint Templates Creating Constraints Audit Mutation Data Replication Metrics Policy Library Summary 21. Multicluster Application Deployments Before You Even Begin Starting at the Top with a Load-Balancing Approach Building Applications for Multiple Clusters Replicated Silos: The Simplest Cross-Regional Model Sharding: Regional Data Better Flexibility: Microservice Routing Summary 22. Organizing Your Application Principles to Guide Us Filesystems as the Source of Truth The Role of Code Review Feature Gates Managing Your Application in Source Control Filesystem Layout Managing Periodic Versions Structuring Your Application for Development, Testing, and Deployment Goals Progression of a Release Parameterizing Your Application with Templates Parameterizing with Helm and Templates Filesystem Layout for Parameterization Deploying Your Application Around the World Architectures for Worldwide Deployment Implementing Worldwide Deployment Dashboards and Monitoring for Worldwide Deployments Summary A. Building Your Own Kubernetes Cluster Parts List Flashing Images First Boot Setting Up Networking Installing a Container Runtime Installing Kubernetes Setting Up the Cluster Setting Up Cluster Networking Summary Index About the Authors
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