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

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Chapter 10 ■ Configuring Compute ResourcesFigure 10-20. Pods put in pending statusScale the RC to 10 replicas. Only seven pods are Running and the others are Pending, as shown inFigure 10-21.Figure 10-21. Scaling to 10 replicas has only seven of the 10 pods Running253
Chapter 10 ■ Configuring Compute ResourcesOvercommitting Resource LimitsAs shown in an earlier example, a maximum of three pods can be scheduled on a node with the allocatedrequests consuming 90% of allocable CPU. The memory limits are at 300%, which makes the limitsovercommitted. If all the pods were to request their maximum allocable memory concurrently, the resourceconsumption would exceed 100% and some pods would terminate. Even with a single pod on a node thememory limits are overcommitted at 109%, though not by much, as shown in Figure 10-22.Figure 10-22. Overcommitted memory limitsReserving Node ResourcesPods are not the only objects or processes consuming resources on a node. It may be suitable to reservesome resources for non-pod processes such as system processes. Resources may be reserved by running aplaceholder pod. Create a pod definition file pod-reserve-resource.yaml. Run the Docker image gcr.io/google_containers/pause and specify resource limits for resources to be reserved such as 200m for cpu and200Mi for memory.apiVersion: v1kind: Podmetadata:name: reserve-resourcespec:containers:- name: reserve-resourceimage: gcr.io/google_containers/pause:0.8.0resources:limits:cpu: “0.1”memory: 200MiThe pod definition file is shown in a vi editor in Figure 10-23.254
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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 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 9 ■ Scheduling Pods on No
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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 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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