book

Kubernetes: Up and Running

by Kelsey Hightower, Brendan Burns, Joe Beda

September 2017

Intermediate to advanced

269 pages

4h 38m

English

O'Reilly Media, Inc.

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Kubernetes: A DedicationWho Should Read This BookWhy We Wrote This BookA Word on Cloud-Native Applications TodayNavigating This BookOnline ResourcesConventions Used in This BookUsing Code ExamplesO’Reilly SafariHow to Contact Us
VelocityThe Value of ImmutabilityDeclarative ConfigurationSelf-Healing SystemsScaling Your Service and Your TeamsDecouplingEasy Scaling for Applications and ClustersScaling Development Teams with MicroservicesSeparation of Concerns for Consistency and ScalingAbstracting Your InfrastructureEfficiencySummary
Container ImagesThe Docker Image FormatBuilding Application Images with DockerDockerfilesImage SecurityOptimizing Image SizesStoring Images in a Remote RegistryThe Docker Container RuntimeRunning Containers with DockerExploring the kuard ApplicationLimiting Resource UsageCleanupSummary
Installing Kubernetes on a Public Cloud ProviderGoogle Container ServiceInstalling Kubernetes with Azure Container ServiceInstalling Kubernetes on Amazon Web ServicesInstalling Kubernetes Locally Using minikubeRunning Kubernetes on Raspberry PiThe Kubernetes ClientChecking Cluster StatusListing Kubernetes Worker NodesCluster ComponentsKubernetes ProxyKubernetes DNSKubernetes UISummary
NamespacesContextsViewing Kubernetes API ObjectsCreating, Updating, and Destroying Kubernetes ObjectsLabeling and Annotating ObjectsDebugging CommandsSummary
Pods in KubernetesThinking with PodsThe Pod ManifestCreating a PodCreating a Pod ManifestRunning PodsListing PodsPod DetailsDeleting a PodAccessing Your PodUsing Port ForwardingGetting More Info with LogsRunning Commands in Your Container with execCopying Files to and from ContainersHealth ChecksLiveness ProbeReadiness ProbeTypes of Health ChecksResource ManagementResource Requests: Minimum Required ResourcesCapping Resource Usage with LimitsPersisting Data with VolumesUsing Volumes with PodsDifferent Ways of Using Volumes with PodsPersisting Data Using Remote DisksPutting It All TogetherSummary
LabelsApplying LabelsModifying LabelsLabel SelectorsLabel Selectors in API ObjectsAnnotationsDefining AnnotationsCleanupSummary
What Is Service Discovery?The Service ObjectService DNSReadiness ChecksLooking Beyond the ClusterCloud IntegrationAdvanced DetailsEndpointsManual Service Discoverykube-proxy and Cluster IPsCluster IP Environment VariablesCleanupSummary
Reconciliation LoopsRelating Pods and ReplicaSetsAdopting Existing ContainersQuarantining ContainersDesigning with ReplicaSetsReplicaSet SpecPod TemplatesLabelsCreating a ReplicaSetInspecting a ReplicaSetFinding a ReplicaSet from a PodFinding a Set of Pods for a ReplicaSetScaling ReplicaSetsImperative Scaling with kubectl ScaleDeclaratively Scaling with kubectl applyAutoscaling a ReplicaSetDeleting ReplicaSetsSummary
DaemonSet SchedulerCreating DaemonSetsLimiting DaemonSets to Specific NodesAdding Labels to NodesNode SelectorsUpdating a DaemonSetUpdating a DaemonSet by Deleting Individual PodsRolling Update of a DaemonSetDeleting a DaemonSetSummary

The Job ObjectJob PatternsOne ShotParallelismWork QueuesSummary
ConfigMapsCreating ConfigMapsUsing a ConfigMapSecretsCreating SecretsConsuming SecretsPrivate Docker RegistriesNaming ConstraintsManaging ConfigMaps and SecretsListingCreatingUpdatingSummary
Your First DeploymentDeployment InternalsCreating DeploymentsManaging DeploymentsUpdating DeploymentsScaling a DeploymentUpdating a Container ImageRollout HistoryDeployment StrategiesRecreate StrategyRollingUpdate StrategySlowing Rollouts to Ensure Service HealthDeleting a DeploymentSummary
Importing External ServicesServices Without SelectorsLimitations of External Services: Health CheckingRunning Reliable SingletonsRunning a MySQL SingletonDynamic Volume ProvisioningKubernetes-Native Storage with StatefulSetsProperties of StatefulSetsManually Replicated MongoDB with StatefulSetsAutomating MongoDB Cluster CreationPersistent Volumes and StatefulSetsOne Final Thing: Readiness ProbesSummary
ParsePrerequisitesBuilding the parse-serverDeploying the parse-serverTesting ParseGhostConfiguring GhostRedisConfiguring RedisCreating a Redis ServiceDeploying RedisPlaying with Our Redis ClusterSummary
Parts ListFlashing ImagesFirst Boot: MasterSetting Up NetworkingInstalling KubernetesSetting Up the ClusterSummary

Content preview from Kubernetes: Up and Running

Chapter 3. Deploying a Kubernetes Cluster

Now that you have successfully built an application container, you are motivated to learn how to deploy it into a complete reliable, scalable distributed system. Of course, to do that, you need a working Kubernetes cluster. At this point, there are several cloud-based Kubernetes services that make it easy to create a cluster with a few command-line instructions. We highly recommend this approach if you are just getting started with Kubernetes. Even if you are ultimately planning on running Kubernetes on bare metal, it makes sense to quickly get started with Kubernetes, learn about Kubernetes itself, and then learn how to install it on physical machines.

Of course, using a cloud-based solution requires paying for those cloud-based resources as well as having an active network connection to the cloud. For these reasons, local development can be more attractive, and in that case the minikube tool provides an easy-to-use way to get a local Kubernetes cluster up running in a VM on your local laptop or desktop. Though this is attractive, minikube only creates a single-node cluster, which doesn’t quite demonstrate all of the aspects of a complete Kubernetes cluster. For that reason, we recommend people start with a cloud-based solution, unless it really doesn’t work for their situation. If you truly insist on starting on bare metal, Appendix A at the end of this book gives instructions for building a cluster from a collection of Raspberry Pi ...