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 1. Introduction

Kubernetes is an open source orchestrator for deploying containerized applications. Kubernetes was originally developed by Google, inspired by a decade of experience deploying scalable, reliable systems in containers via application-oriented APIs.¹

But Kubernetes is much more than simply exporting technology developed at Google. Kubernetes has grown to be the product of a rich and growing open source community. This means that Kubernetes is a product that is suited not just to the needs of internet-scale companies but to cloud-native developers of all scales, from a cluster of Raspberry Pi computers to a warehouse full of the latest machines. Kubernetes provides the software necessary to successfully build and deploy reliable, scalable distributed systems.

You may be wondering what we mean when we say “reliable, scalable distributed systems.” More and more services are delivered over the network via APIs. These APIs are often delivered by a distributed system, the various pieces that implement the API running on different machines, connected via the network and coordinating their actions via network communication. Because we rely on these APIs increasingly for all aspects of our daily lives (e.g., finding directions to the nearest hospital), these systems must be highly reliable. They cannot fail, even if a part of the system crashes or otherwise fails. Likewise, they must maintain availability even during software rollouts or other maintenance events. ...