148422597X Kubernetes Management Design Patterns [Vohra 2017-01-29] {E559F6BB}

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Chapter 9 ■ Scheduling Pods on NodesAs discussed earlier, NodeAffinity is a priority function; and priority functions have weight allocatedto them in ranking nodes. Create a pod definition file podNodeAffinity.yaml and allocate a weight of 75for a pod using node affinity preferredDuringSchedulingIgnoredDuringExecution. Set the expressions tomatch to the label key kubernetes.io/image-name to be either nginx or hello-world.apiVersion: v1kind: Podmetadata:name: with-labelsannotations:scheduler.alpha.kubernetes.io/affinity: >{"nodeAffinity": {"preferredDuringSchedulingIgnoredDuringExecution": [{"weight": 75,"preference":{"matchExpressions": [{"key": "kubernetes.io/image-name","operator": "In","values": ["nginx", "hello-world"]}]}}]}}kubernetes.io/image-name: hello-worldspec:containers:- name: with-labelsimage: nginxThe pod definition file podNodeAffinity.yaml is shown in a vi editor in Figure 9-53.231
Chapter 9 ■ Scheduling Pods on NodesFigure 9-53. Pod definition file podNodeAffinity.yamlCreate the with-labels pod using the pod definition file. List the cluster-wide pods. The with-labelspod is scheduled on the node with the label kubernetes.io/image-name: nginx, as shown in Figure 9-54.The scheduling policy does not just constitute the priority functions, and the node affinity is not the onlypriority function; and with node affinity being soft, the pod could have been allocated to a random node orthe allocation could be based on the result of the priority function’s score calculation.Figure 9-54. Scheduing pod using node affinity preferredDuringSchedulingIgnoredDuringExecutionAdd the another-annotation-key: another-annotation-value as kubernetes.io/image-name:hello-world as shown in Figure 9-55.232
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KubernetesManagementDesign Patterns
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Kubernetes Management Design Patter
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■ CONTENTS AT A GLANCE■Part
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■ CONTENTSSetting Up Cluster Para
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■ CONTENTS■Chapter ■ 6: Us
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■ CONTENTSOvercommitting Resou
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■ CONTENTSInstalling OpenShift
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About the Technical ReviewerMassimo
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■ INTRODUCTIONpatterns are lan
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■ INTRODUCTIONIn Chapter 3 we
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CHAPTER 1Kubernetes on AWSKubernete
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Chapter 1 ■ Kubernetes on AWSIn t
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Chapter 1 ■ Kubernetes on AWSUsin
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Chapter 1 ■ Kubernetes on AWSClic
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Chapter 1 ■ Kubernetes on AWSFigu
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Testing the ClusterChapter 1 ■ Ku
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CHAPTER 2Kubernetes on CoreOS on AW
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Chapter 2 ■ Kubernetes on CoreOS
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Customizing the ClusterChapter 2
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Chapter 3 ■ Kubernetes on Google
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PART IIAdministration andConfigurat
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Chapter 4 ■ Using Multiple ZonesS
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Chapter 4 ■ Using Multiple ZonesF
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Chapter 6 ■ Using VolumesPodDocke
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Chapter 6 ■ Using VolumesObtain t
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Chapter 6 ■ Using VolumesThe kube
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Chapter 6 ■ Using VolumesChange d
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Chapter 7 ■ Using ServicesAnother
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Chapter 7 ■ Using ServicesCreatin
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Chapter 7 ■ Using ServicesSimilar
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Chapter 7 ■ Using ServicesList th
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Chapter 7 ■ Using ServicesFigure
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Chapter 7 ■ Using ServicesInvoke
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Chapter 7 ■ Using ServicesIn addi
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Chapter 8 ■ Using Rolling Updates
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Chapter 12 ■ Using Resource Quota
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CHAPTER 13Using AutoscalingStarting
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Chapter 13 ■ Using AutoscalingThe
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Chapter 13 ■ Using Autoscaling./k
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CHAPTER 14Configuring LoggingLoggin
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Chapter 14 ■ Configuring Logging
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Docker Log FilesChapter 14 ■ Conf
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Chapter 14 ■ Configuring LoggingF
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CHAPTER 15Using an HA Master with O
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Chapter 15 ■ Using an HA Master w
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Installing the Network ManagerChapt
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Chapter 16 ■ Developing a Highly
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■ INDEXClusters (cont.)configurat
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■ INDEXKubernetes (cont.)nodes, 6
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■ INDEXRoute 53 service (cont.)de
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148422597X Kubernetes Management Design Patterns [Vohra 2017-01-29] {E559F6BB}

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