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Chapter 5. Working with nodes
5.1. Viewing and listing the nodes in your OpenShift Container Platform cluster Copiar enlaceEnlace copiado en el portapapeles!
You can list all the nodes in your cluster to obtain information such as status, age, memory usage, and details about the nodes.
When you perform node management operations, the CLI interacts with node objects that are representations of actual node hosts. The master uses the information from node objects to validate nodes with health checks.
5.1.1. About listing all the nodes in a cluster Copiar enlaceEnlace copiado en el portapapeles!
You can get detailed information on the nodes in the cluster.
The following command lists all nodes:
$ oc get nodesThe following example is a cluster with healthy nodes:
$ oc get nodesExample output
NAME STATUS ROLES AGE VERSION master.example.com Ready master 7h v1.21.0 node1.example.com Ready worker 7h v1.21.0 node2.example.com Ready worker 7h v1.21.0The following example is a cluster with one unhealthy node:
$ oc get nodesExample output
NAME STATUS ROLES AGE VERSION master.example.com Ready master 7h v1.21.0 node1.example.com NotReady,SchedulingDisabled worker 7h v1.21.0 node2.example.com Ready worker 7h v1.21.0The conditions that trigger a
status are shown later in this section.NotReadyThe
option provides additional information on nodes.-o wide$ oc get nodes -o wideExample output
NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME master.example.com Ready master 171m v1.21.0+39c0afe 10.0.129.108 <none> Red Hat Enterprise Linux CoreOS 48.83.202103210901-0 (Ootpa) 4.18.0-240.15.1.el8_3.x86_64 cri-o://1.21.0-30.rhaos4.8.gitf2f339d.el8-dev node1.example.com Ready worker 72m v1.21.0+39c0afe 10.0.129.222 <none> Red Hat Enterprise Linux CoreOS 48.83.202103210901-0 (Ootpa) 4.18.0-240.15.1.el8_3.x86_64 cri-o://1.21.0-30.rhaos4.8.gitf2f339d.el8-dev node2.example.com Ready worker 164m v1.21.0+39c0afe 10.0.142.150 <none> Red Hat Enterprise Linux CoreOS 48.83.202103210901-0 (Ootpa) 4.18.0-240.15.1.el8_3.x86_64 cri-o://1.21.0-30.rhaos4.8.gitf2f339d.el8-devThe following command lists information about a single node:
$ oc get node <node>For example:
$ oc get node node1.example.comExample output
NAME STATUS ROLES AGE VERSION node1.example.com Ready worker 7h v1.21.0The following command provides more detailed information about a specific node, including the reason for the current condition:
$ oc describe node <node>For example:
$ oc describe node node1.example.comExample output
Name: node1.example.com1 Roles: worker2 Labels: beta.kubernetes.io/arch=amd643 beta.kubernetes.io/instance-type=m4.large beta.kubernetes.io/os=linux failure-domain.beta.kubernetes.io/region=us-east-2 failure-domain.beta.kubernetes.io/zone=us-east-2a kubernetes.io/hostname=ip-10-0-140-16 node-role.kubernetes.io/worker= Annotations: cluster.k8s.io/machine: openshift-machine-api/ahardin-worker-us-east-2a-q5dzc4 machineconfiguration.openshift.io/currentConfig: worker-309c228e8b3a92e2235edd544c62fea8 machineconfiguration.openshift.io/desiredConfig: worker-309c228e8b3a92e2235edd544c62fea8 machineconfiguration.openshift.io/state: Done volumes.kubernetes.io/controller-managed-attach-detach: true CreationTimestamp: Wed, 13 Feb 2019 11:05:57 -0500 Taints: <none>5 Unschedulable: false Conditions:6 Type Status LastHeartbeatTime LastTransitionTime Reason Message ---- ------ ----------------- ------------------ ------ ------- OutOfDisk False Wed, 13 Feb 2019 15:09:42 -0500 Wed, 13 Feb 2019 11:05:57 -0500 KubeletHasSufficientDisk kubelet has sufficient disk space available MemoryPressure False Wed, 13 Feb 2019 15:09:42 -0500 Wed, 13 Feb 2019 11:05:57 -0500 KubeletHasSufficientMemory kubelet has sufficient memory available DiskPressure False Wed, 13 Feb 2019 15:09:42 -0500 Wed, 13 Feb 2019 11:05:57 -0500 KubeletHasNoDiskPressure kubelet has no disk pressure PIDPressure False Wed, 13 Feb 2019 15:09:42 -0500 Wed, 13 Feb 2019 11:05:57 -0500 KubeletHasSufficientPID kubelet has sufficient PID available Ready True Wed, 13 Feb 2019 15:09:42 -0500 Wed, 13 Feb 2019 11:07:09 -0500 KubeletReady kubelet is posting ready status Addresses:7 InternalIP: 10.0.140.16 InternalDNS: ip-10-0-140-16.us-east-2.compute.internal Hostname: ip-10-0-140-16.us-east-2.compute.internal Capacity:8 attachable-volumes-aws-ebs: 39 cpu: 2 hugepages-1Gi: 0 hugepages-2Mi: 0 memory: 8172516Ki pods: 250 Allocatable: attachable-volumes-aws-ebs: 39 cpu: 1500m hugepages-1Gi: 0 hugepages-2Mi: 0 memory: 7558116Ki pods: 250 System Info:9 Machine ID: 63787c9534c24fde9a0cde35c13f1f66 System UUID: EC22BF97-A006-4A58-6AF8-0A38DEEA122A Boot ID: f24ad37d-2594-46b4-8830-7f7555918325 Kernel Version: 3.10.0-957.5.1.el7.x86_64 OS Image: Red Hat Enterprise Linux CoreOS 410.8.20190520.0 (Ootpa) Operating System: linux Architecture: amd64 Container Runtime Version: cri-o://1.16.0-0.6.dev.rhaos4.3.git9ad059b.el8-rc2 Kubelet Version: v1.21.0 Kube-Proxy Version: v1.21.0 PodCIDR: 10.128.4.0/24 ProviderID: aws:///us-east-2a/i-04e87b31dc6b3e171 Non-terminated Pods: (13 in total)10 Namespace Name CPU Requests CPU Limits Memory Requests Memory Limits --------- ---- ------------ ---------- --------------- ------------- openshift-cluster-node-tuning-operator tuned-hdl5q 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-dns dns-default-l69zr 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-image-registry node-ca-9hmcg 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-ingress router-default-76455c45c-c5ptv 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-machine-config-operator machine-config-daemon-cvqw9 20m (1%) 0 (0%) 50Mi (0%) 0 (0%) openshift-marketplace community-operators-f67fh 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-monitoring alertmanager-main-0 50m (3%) 50m (3%) 210Mi (2%) 10Mi (0%) openshift-monitoring grafana-78765ddcc7-hnjmm 100m (6%) 200m (13%) 100Mi (1%) 200Mi (2%) openshift-monitoring node-exporter-l7q8d 10m (0%) 20m (1%) 20Mi (0%) 40Mi (0%) openshift-monitoring prometheus-adapter-75d769c874-hvb85 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-multus multus-kw8w5 0 (0%) 0 (0%) 0 (0%) 0 (0%) openshift-sdn ovs-t4dsn 100m (6%) 0 (0%) 300Mi (4%) 0 (0%) openshift-sdn sdn-g79hg 100m (6%) 0 (0%) 200Mi (2%) 0 (0%) Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits -------- -------- ------ cpu 380m (25%) 270m (18%) memory 880Mi (11%) 250Mi (3%) attachable-volumes-aws-ebs 0 0 Events:11 Type Reason Age From Message ---- ------ ---- ---- ------- Normal NodeHasSufficientPID 6d (x5 over 6d) kubelet, m01.example.com Node m01.example.com status is now: NodeHasSufficientPID Normal NodeAllocatableEnforced 6d kubelet, m01.example.com Updated Node Allocatable limit across pods Normal NodeHasSufficientMemory 6d (x6 over 6d) kubelet, m01.example.com Node m01.example.com status is now: NodeHasSufficientMemory Normal NodeHasNoDiskPressure 6d (x6 over 6d) kubelet, m01.example.com Node m01.example.com status is now: NodeHasNoDiskPressure Normal NodeHasSufficientDisk 6d (x6 over 6d) kubelet, m01.example.com Node m01.example.com status is now: NodeHasSufficientDisk Normal NodeHasSufficientPID 6d kubelet, m01.example.com Node m01.example.com status is now: NodeHasSufficientPID Normal Starting 6d kubelet, m01.example.com Starting kubelet. ...- 1
- The name of the node.
- 2
- The role of the node, either
masterorworker. - 3
- The labels applied to the node.
- 4
- The annotations applied to the node.
- 5
- The taints applied to the node.
- 6
- The node conditions and status. The
conditionsstanza lists theReady,PIDPressure,PIDPressure,MemoryPressure,DiskPressureandOutOfDiskstatus. These condition are described later in this section. - 7
- The IP address and hostname of the node.
- 8
- The pod resources and allocatable resources.
- 9
- Information about the node host.
- 10
- The pods on the node.
- 11
- The events reported by the node.
Among the information shown for nodes, the following node conditions appear in the output of the commands shown in this section:
| Condition | Description |
|---|---|
|
| If
|
|
| If
|
|
| If
|
|
| If
|
|
| If
|
|
| If
|
|
| If
|
|
| Pods cannot be scheduled for placement on the node. |
5.1.2. Listing pods on a node in your cluster Copiar enlaceEnlace copiado en el portapapeles!
You can list all the pods on a specific node.
Procedure
To list all or selected pods on one or more nodes:
$ oc describe node <node1> <node2>For example:
$ oc describe node ip-10-0-128-218.ec2.internalTo list all or selected pods on selected nodes:
$ oc describe --selector=<node_selector>$ oc describe node --selector=kubernetes.io/osOr:
$ oc describe -l=<pod_selector>$ oc describe node -l node-role.kubernetes.io/workerTo list all pods on a specific node, including terminated pods:
$ oc get pod --all-namespaces --field-selector=spec.nodeName=<nodename>
5.1.3. Viewing memory and CPU usage statistics on your nodes Copiar enlaceEnlace copiado en el portapapeles!
You can display usage statistics about nodes, which provide the runtime environments for containers. These usage statistics include CPU, memory, and storage consumption.
Prerequisites
-
You must have permission to view the usage statistics.
cluster-reader - Metrics must be installed to view the usage statistics.
Procedure
To view the usage statistics:
$ oc adm top nodesExample output
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% ip-10-0-12-143.ec2.compute.internal 1503m 100% 4533Mi 61% ip-10-0-132-16.ec2.compute.internal 76m 5% 1391Mi 18% ip-10-0-140-137.ec2.compute.internal 398m 26% 2473Mi 33% ip-10-0-142-44.ec2.compute.internal 656m 43% 6119Mi 82% ip-10-0-146-165.ec2.compute.internal 188m 12% 3367Mi 45% ip-10-0-19-62.ec2.compute.internal 896m 59% 5754Mi 77% ip-10-0-44-193.ec2.compute.internal 632m 42% 5349Mi 72%To view the usage statistics for nodes with labels:
$ oc adm top node --selector=''You must choose the selector (label query) to filter on. Supports
,=, and==.!=
5.2. Working with nodes Copiar enlaceEnlace copiado en el portapapeles!
As an administrator, you can perform a number of tasks to make your clusters more efficient.
5.2.1. Understanding how to evacuate pods on nodes Copiar enlaceEnlace copiado en el portapapeles!
Evacuating pods allows you to migrate all or selected pods from a given node or nodes.
You can only evacuate pods backed by a replication controller. The replication controller creates new pods on other nodes and removes the existing pods from the specified node(s).
Bare pods, meaning those not backed by a replication controller, are unaffected by default. You can evacuate a subset of pods by specifying a pod-selector. Pod selectors are based on labels, so all the pods with the specified label will be evacuated.
Procedure
Mark the nodes unschedulable before performing the pod evacuation.
Mark the node as unschedulable:
$ oc adm cordon <node1>Example output
node/<node1> cordonedCheck that the node status is
:Ready,SchedulingDisabled$ oc get node <node1>Example output
NAME STATUS ROLES AGE VERSION <node1> Ready,SchedulingDisabled worker 1d v1.24.0
Evacuate the pods using one of the following methods:
Evacuate all or selected pods on one or more nodes:
$ oc adm drain <node1> <node2> [--pod-selector=<pod_selector>]Force the deletion of bare pods using the
option. When set to--force, deletion continues even if there are pods not managed by a replication controller, replica set, job, daemon set, or stateful set:true$ oc adm drain <node1> <node2> --force=trueSet a period of time in seconds for each pod to terminate gracefully, use
. If negative, the default value specified in the pod will be used:--grace-period$ oc adm drain <node1> <node2> --grace-period=-1Ignore pods managed by daemon sets using the
flag set to--ignore-daemonsets:true$ oc adm drain <node1> <node2> --ignore-daemonsets=trueSet the length of time to wait before giving up using the
flag. A value of--timeoutsets an infinite length of time:0$ oc adm drain <node1> <node2> --timeout=5sDelete pods even if there are pods using
volumes by setting theemptyDirflag to--delete-emptydir-data. Local data is deleted when the node is drained:true$ oc adm drain <node1> <node2> --delete-emptydir-data=trueList objects that will be migrated without actually performing the evacuation, using the
option set to--dry-run:true$ oc adm drain <node1> <node2> --dry-run=trueInstead of specifying specific node names (for example,
), you can use the<node1> <node2>option to evacuate pods on selected nodes.--selector=<node_selector>
Mark the node as schedulable when done.
$ oc adm uncordon <node1>
5.2.2. Understanding how to update labels on nodes Copiar enlaceEnlace copiado en el portapapeles!
You can update any label on a node.
Node labels are not persisted after a node is deleted even if the node is backed up by a Machine.
Any change to a
MachineSet
MachineSet
The following command adds or updates labels on a node:
$ oc label node <node> <key_1>=<value_1> ... <key_n>=<value_n>For example:
$ oc label nodes webconsole-7f7f6 unhealthy=trueTipYou can alternatively apply the following YAML to apply the label:
kind: Node apiVersion: v1 metadata: name: webconsole-7f7f6 labels: unhealthy: 'true'The following command updates all pods in the namespace:
$ oc label pods --all <key_1>=<value_1>For example:
$ oc label pods --all status=unhealthy
5.2.3. Understanding how to mark nodes as unschedulable or schedulable Copiar enlaceEnlace copiado en el portapapeles!
By default, healthy nodes with a
Ready
The following command marks a node or nodes as unschedulable:
Example output
$ oc adm cordon <node>For example:
$ oc adm cordon node1.example.comExample output
node/node1.example.com cordoned NAME LABELS STATUS node1.example.com kubernetes.io/hostname=node1.example.com Ready,SchedulingDisabledThe following command marks a currently unschedulable node or nodes as schedulable:
$ oc adm uncordon <node1>Alternatively, instead of specifying specific node names (for example,
), you can use the<node>option to mark selected nodes as schedulable or unschedulable.--selector=<node_selector>
5.2.4. Deleting nodes Copiar enlaceEnlace copiado en el portapapeles!
5.2.4.1. Deleting nodes from a cluster Copiar enlaceEnlace copiado en el portapapeles!
When you delete a node using the CLI, the node object is deleted in Kubernetes, but the pods that exist on the node are not deleted. Any bare pods not backed by a replication controller become inaccessible to OpenShift Container Platform. Pods backed by replication controllers are rescheduled to other available nodes. You must delete local manifest pods.
Procedure
To delete a node from the OpenShift Container Platform cluster, edit the appropriate
MachineSet
If you are running cluster on bare metal, you cannot delete a node by editing
MachineSet
View the machine sets that are in the cluster:
$ oc get machinesets -n openshift-machine-apiThe machine sets are listed in the form of <clusterid>-worker-<aws-region-az>.
Scale the machine set:
$ oc scale --replicas=2 machineset <machineset> -n openshift-machine-apiOr:
$ oc edit machineset <machineset> -n openshift-machine-apiTipYou can alternatively apply the following YAML to scale the machine set:
apiVersion: machine.openshift.io/v1beta1 kind: MachineSet metadata: name: <machineset> namespace: openshift-machine-api spec: replicas: 2For more information on scaling your cluster using a machine set, see Manually scaling a machine set.
5.2.4.2. Deleting nodes from a bare metal cluster Copiar enlaceEnlace copiado en el portapapeles!
When you delete a node using the CLI, the node object is deleted in Kubernetes, but the pods that exist on the node are not deleted. Any bare pods not backed by a replication controller become inaccessible to OpenShift Container Platform. Pods backed by replication controllers are rescheduled to other available nodes. You must delete local manifest pods.
Procedure
Delete a node from an OpenShift Container Platform cluster running on bare metal by completing the following steps:
Mark the node as unschedulable:
$ oc adm cordon <node_name>Drain all pods on the node:
$ oc adm drain <node_name> --force=trueThis step might fail if the node is offline or unresponsive. Even if the node does not respond, it might still be running a workload that writes to shared storage. To avoid data corruption, power down the physical hardware before you proceed.
Delete the node from the cluster:
$ oc delete node <node_name>Although the node object is now deleted from the cluster, it can still rejoin the cluster after reboot or if the kubelet service is restarted. To permanently delete the node and all its data, you must decommission the node.
- If you powered down the physical hardware, turn it back on so that the node can rejoin the cluster.
5.3. Managing nodes Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform uses a KubeletConfig custom resource (CR) to manage the configuration of nodes. By creating an instance of a
KubeletConfig
Logging in to remote machines for the purpose of changing their configuration is not supported.
5.3.1. Modifying nodes Copiar enlaceEnlace copiado en el portapapeles!
To make configuration changes to a cluster, or machine pool, you must create a custom resource definition (CRD), or
kubeletConfig
Because the fields in a
kubeletConfig
kubeletConfig
Procedure
Obtain the label associated with the static CRD, Machine Config Pool, for the type of node you want to configure. Perform one of the following steps:
Check current labels of the desired machine config pool.
For example:
$ oc get machineconfigpool --show-labelsExample output
NAME CONFIG UPDATED UPDATING DEGRADED LABELS master rendered-master-e05b81f5ca4db1d249a1bf32f9ec24fd True False False operator.machineconfiguration.openshift.io/required-for-upgrade= worker rendered-worker-f50e78e1bc06d8e82327763145bfcf62 True False FalseAdd a custom label to the desired machine config pool.
For example:
$ oc label machineconfigpool worker custom-kubelet=enabled
Create a
custom resource (CR) for your configuration change.kubeletconfigFor example:
Sample configuration for a custom-config CR
apiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: custom-config1 spec: machineConfigPoolSelector: matchLabels: custom-kubelet: enabled2 kubeletConfig:3 podsPerCore: 10 maxPods: 250 systemReserved: cpu: 2000m memory: 1GiCreate the CR object.
$ oc create -f <file-name>For example:
$ oc create -f master-kube-config.yaml
Most Kubelet Configuration options can be set by the user. The following options are not allowed to be overwritten:
- CgroupDriver
- ClusterDNS
- ClusterDomain
- RuntimeRequestTimeout
- StaticPodPath
If a single node contains more than 50 images, pod scheduling might be imbalanced across nodes. This is because the list of images on a node is shortened to 50 by default. You can disable the image limit by editing the
KubeletConfig
nodeStatusMaxImages
-1
5.3.2. Configuring control plane nodes as schedulable Copiar enlaceEnlace copiado en el portapapeles!
You can configure control plane nodes (also known as the master nodes) to be schedulable, meaning that new pods are allowed for placement on the master nodes. By default, control plane nodes are not schedulable.
You can set the masters to be schedulable, but must retain the worker nodes.
You can deploy OpenShift Container Platform with no worker nodes on a bare metal cluster. In this case, the control plane nodes are marked schedulable by default.
You can allow or disallow control plane nodes to be schedulable by configuring the
mastersSchedulable
When you configure control plane nodes from the default unschedulable to schedulable, additional subscriptions are required. This is because control plane nodes then become worker nodes.
Procedure
Edit the
resource.schedulers.config.openshift.io$ oc edit schedulers.config.openshift.io clusterConfigure the
field.mastersSchedulableapiVersion: config.openshift.io/v1 kind: Scheduler metadata: creationTimestamp: "2019-09-10T03:04:05Z" generation: 1 name: cluster resourceVersion: "433" selfLink: /apis/config.openshift.io/v1/schedulers/cluster uid: a636d30a-d377-11e9-88d4-0a60097bee62 spec: mastersSchedulable: false1 policy: name: "" status: {}- 1
- Set to
trueto allow control plane nodes to be schedulable, orfalseto disallow control plane nodes to be schedulable.
- Save the file to apply the changes.
5.3.3. Setting SELinux booleans Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform allows you to enable and disable an SELinux boolean on a Red Hat Enterprise Linux CoreOS (RHCOS) node. The following procedure explains how to modify SELinux booleans on nodes using the Machine Config Operator (MCO). This procedure uses
container_manage_cgroup
Prerequisites
- You have installed the OpenShift CLI (oc).
Procedure
Create a new YAML file with a
object, displayed in the following example:MachineConfigapiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfig metadata: labels: machineconfiguration.openshift.io/role: worker name: 99-worker-setsebool spec: config: ignition: version: 2.2.0 systemd: units: - contents: | [Unit] Description=Set SELinux booleans Before=kubelet.service [Service] Type=oneshot ExecStart=/sbin/setsebool container_manage_cgroup=on RemainAfterExit=true [Install] WantedBy=multi-user.target graphical.target enabled: true name: setsebool.serviceCreate the new
object by running the following command:MachineConfig$ oc create -f 99-worker-setsebool.yaml
Applying any changes to the
MachineConfig
5.3.4. Adding kernel arguments to nodes Copiar enlaceEnlace copiado en el portapapeles!
In some special cases, you might want to add kernel arguments to a set of nodes in your cluster. This should only be done with caution and clear understanding of the implications of the arguments you set.
Improper use of kernel arguments can result in your systems becoming unbootable.
Examples of kernel arguments you could set include:
- enforcing=0: Configures Security Enhanced Linux (SELinux) to run in permissive mode. In permissive mode, the system acts as if SELinux is enforcing the loaded security policy, including labeling objects and emitting access denial entries in the logs, but it does not actually deny any operations. While not supported for production systems, permissive mode can be helpful for debugging.
-
nosmt: Disables symmetric multithreading (SMT) in the kernel. Multithreading allows multiple logical threads for each CPU. You could consider in multi-tenant environments to reduce risks from potential cross-thread attacks. By disabling SMT, you essentially choose security over performance.
nosmt
See Kernel.org kernel parameters for a list and descriptions of kernel arguments.
In the following procedure, you create a
MachineConfig
- A set of machines to which you want to add the kernel argument. In this case, machines with a worker role.
- Kernel arguments that are appended to the end of the existing kernel arguments.
- A label that indicates where in the list of machine configs the change is applied.
Prerequisites
- Have administrative privilege to a working OpenShift Container Platform cluster.
Procedure
List existing
objects for your OpenShift Container Platform cluster to determine how to label your machine config:MachineConfig$ oc get MachineConfigExample output
NAME GENERATEDBYCONTROLLER IGNITIONVERSION AGE 00-master 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 00-worker 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-master-container-runtime 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-master-kubelet 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-worker-container-runtime 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-worker-kubelet 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 99-master-generated-registries 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 99-master-ssh 3.2.0 40m 99-worker-generated-registries 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 99-worker-ssh 3.2.0 40m rendered-master-23e785de7587df95a4b517e0647e5ab7 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m rendered-worker-5d596d9293ca3ea80c896a1191735bb1 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33mCreate a
object file that identifies the kernel argument (for example,MachineConfig)05-worker-kernelarg-selinuxpermissive.yamlapiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfig metadata: labels: machineconfiguration.openshift.io/role: worker1 name: 05-worker-kernelarg-selinuxpermissive2 spec: config: ignition: version: 3.2.0 kernelArguments: - enforcing=03 Create the new machine config:
$ oc create -f 05-worker-kernelarg-selinuxpermissive.yamlCheck the machine configs to see that the new one was added:
$ oc get MachineConfigExample output
NAME GENERATEDBYCONTROLLER IGNITIONVERSION AGE 00-master 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 00-worker 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-master-container-runtime 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-master-kubelet 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-worker-container-runtime 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 01-worker-kubelet 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 05-worker-kernelarg-selinuxpermissive 3.2.0 105s 99-master-generated-registries 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 99-master-ssh 3.2.0 40m 99-worker-generated-registries 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m 99-worker-ssh 3.2.0 40m rendered-master-23e785de7587df95a4b517e0647e5ab7 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33m rendered-worker-5d596d9293ca3ea80c896a1191735bb1 52dd3ba6a9a527fc3ab42afac8d12b693534c8c9 3.2.0 33mCheck the nodes:
$ oc get nodesExample output
NAME STATUS ROLES AGE VERSION ip-10-0-136-161.ec2.internal Ready worker 28m v1.21.0 ip-10-0-136-243.ec2.internal Ready master 34m v1.21.0 ip-10-0-141-105.ec2.internal Ready,SchedulingDisabled worker 28m v1.21.0 ip-10-0-142-249.ec2.internal Ready master 34m v1.21.0 ip-10-0-153-11.ec2.internal Ready worker 28m v1.21.0 ip-10-0-153-150.ec2.internal Ready master 34m v1.21.0You can see that scheduling on each worker node is disabled as the change is being applied.
Check that the kernel argument worked by going to one of the worker nodes and listing the kernel command line arguments (in
on the host):/proc/cmdline$ oc debug node/ip-10-0-141-105.ec2.internalExample output
Starting pod/ip-10-0-141-105ec2internal-debug ... To use host binaries, run `chroot /host` sh-4.2# cat /host/proc/cmdline BOOT_IMAGE=/ostree/rhcos-... console=tty0 console=ttyS0,115200n8 rootflags=defaults,prjquota rw root=UUID=fd0... ostree=/ostree/boot.0/rhcos/16... coreos.oem.id=qemu coreos.oem.id=ec2 ignition.platform.id=ec2 enforcing=0 sh-4.2# exitYou should see the
argument added to the other kernel arguments.enforcing=0
5.4. Managing the maximum number of pods per node Copiar enlaceEnlace copiado en el portapapeles!
In OpenShift Container Platform, you can configure the number of pods that can run on a node based on the number of processor cores on the node, a hard limit or both. If you use both options, the lower of the two limits the number of pods on a node.
Exceeding these values can result in:
- Increased CPU utilization by OpenShift Container Platform.
- Slow pod scheduling.
- Potential out-of-memory scenarios, depending on the amount of memory in the node.
- Exhausting the IP address pool.
- Resource overcommitting, leading to poor user application performance.
A pod that is holding a single container actually uses two containers. The second container sets up networking prior to the actual container starting. As a result, a node running 10 pods actually has 20 containers running.
The
podsPerCore
podsPerCore
10
The
maxPods
5.4.1. Configuring the maximum number of pods per node Copiar enlaceEnlace copiado en el portapapeles!
Two parameters control the maximum number of pods that can be scheduled to a node:
podsPerCore
maxPods
For example, if
podsPerCore
10
Prerequisites
Obtain the label associated with the static
CRD for the type of node you want to configure by entering the following command:MachineConfigPool$ oc edit machineconfigpool <name>For example:
$ oc edit machineconfigpool workerExample output
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfigPool metadata: creationTimestamp: "2022-11-16T15:34:25Z" generation: 4 labels: pools.operator.machineconfiguration.openshift.io/worker: ""1 name: worker- 1
- The label appears under Labels.
TipIf the label is not present, add a key/value pair such as:
$ oc label machineconfigpool worker custom-kubelet=small-pods
Procedure
Create a custom resource (CR) for your configuration change.
Sample configuration for a
max-podsCRapiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: set-max-pods1 spec: machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""2 kubeletConfig: podsPerCore: 103 maxPods: 2504 NoteSetting
topodsPerCoredisables this limit.0In the above example, the default value for
ispodsPerCoreand the default value for10ismaxPods. This means that unless the node has 25 cores or more, by default,250will be the limiting factor.podsPerCoreRun the following command to create the CR:
$ oc create -f <file_name>.yaml
Verification
List the
CRDs to see if the change is applied. TheMachineConfigPoolcolumn reportsUPDATINGif the change is picked up by the Machine Config Controller:True$ oc get machineconfigpoolsExample output
NAME CONFIG UPDATED UPDATING DEGRADED master master-9cc2c72f205e103bb534 False False False worker worker-8cecd1236b33ee3f8a5e False True FalseOnce the change is complete, the
column reportsUPDATED.True$ oc get machineconfigpoolsExample output
NAME CONFIG UPDATED UPDATING DEGRADED master master-9cc2c72f205e103bb534 False True False worker worker-8cecd1236b33ee3f8a5e True False False
5.5. Using the Node Tuning Operator Copiar enlaceEnlace copiado en el portapapeles!
Learn about the Node Tuning Operator and how you can use it to manage node-level tuning by orchestrating the tuned daemon.
The Node Tuning Operator helps you manage node-level tuning by orchestrating the TuneD daemon. The majority of high-performance applications require some level of kernel tuning. The Node Tuning Operator provides a unified management interface to users of node-level sysctls and more flexibility to add custom tuning specified by user needs.
The Operator manages the containerized TuneD daemon for OpenShift Container Platform as a Kubernetes daemon set. It ensures the custom tuning specification is passed to all containerized TuneD daemons running in the cluster in the format that the daemons understand. The daemons run on all nodes in the cluster, one per node.
Node-level settings applied by the containerized TuneD daemon are rolled back on an event that triggers a profile change or when the containerized TuneD daemon is terminated gracefully by receiving and handling a termination signal.
The Node Tuning Operator is part of a standard OpenShift Container Platform installation in version 4.1 and later.
5.5.1. Accessing an example Node Tuning Operator specification Copiar enlaceEnlace copiado en el portapapeles!
Use this process to access an example Node Tuning Operator specification.
Procedure
Run:
$ oc get Tuned/default -o yaml -n openshift-cluster-node-tuning-operator
The default CR is meant for delivering standard node-level tuning for the OpenShift Container Platform platform and it can only be modified to set the Operator Management state. Any other custom changes to the default CR will be overwritten by the Operator. For custom tuning, create your own Tuned CRs. Newly created CRs will be combined with the default CR and custom tuning applied to OpenShift Container Platform nodes based on node or pod labels and profile priorities.
While in certain situations the support for pod labels can be a convenient way of automatically delivering required tuning, this practice is discouraged and strongly advised against, especially in large-scale clusters. The default Tuned CR ships without pod label matching. If a custom profile is created with pod label matching, then the functionality will be enabled at that time. The pod label functionality might be deprecated in future versions of the Node Tuning Operator.
5.5.2. Custom tuning specification Copiar enlaceEnlace copiado en el portapapeles!
The custom resource (CR) for the Operator has two major sections. The first section,
profile:
recommend:
Multiple custom tuning specifications can co-exist as multiple CRs in the Operator’s namespace. The existence of new CRs or the deletion of old CRs is detected by the Operator. All existing custom tuning specifications are merged and appropriate objects for the containerized TuneD daemons are updated.
Management state
The Operator Management state is set by adjusting the default Tuned CR. By default, the Operator is in the Managed state and the
spec.managementState
- Managed: the Operator will update its operands as configuration resources are updated
- Unmanaged: the Operator will ignore changes to the configuration resources
- Removed: the Operator will remove its operands and resources the Operator provisioned
Profile data
The
profile:
profile:
- name: tuned_profile_1
data: |
# TuneD profile specification
[main]
summary=Description of tuned_profile_1 profile
[sysctl]
net.ipv4.ip_forward=1
# ... other sysctl's or other TuneD daemon plugins supported by the containerized TuneD
# ...
- name: tuned_profile_n
data: |
# TuneD profile specification
[main]
summary=Description of tuned_profile_n profile
# tuned_profile_n profile settings
Recommended profiles
The
profile:
recommend:
recommend:
recommend:
<recommend-item-1>
# ...
<recommend-item-n>
The individual items of the list:
- machineConfigLabels:
<mcLabels>
match:
<match>
priority: <priority>
profile: <tuned_profile_name>
operand:
debug: <bool>
- 1
- Optional.
- 2
- A dictionary of key/value
MachineConfiglabels. The keys must be unique. - 3
- If omitted, profile match is assumed unless a profile with a higher priority matches first or
machineConfigLabelsis set. - 4
- An optional list.
- 5
- Profile ordering priority. Lower numbers mean higher priority (
0is the highest priority). - 6
- A TuneD profile to apply on a match. For example
tuned_profile_1. - 7
- Optional operand configuration.
- 8
- Turn debugging on or off for the TuneD daemon. Options are
truefor on orfalsefor off. The default isfalse.
<match>
- label: <label_name>
value: <label_value>
type: <label_type>
<match>
If
<match>
<match>
true
false
<match>
<match>
<match>
<match>
true
If
machineConfigLabels
recommend:
<mcLabels>
<tuned_profile_name>
<mcLabels>
<tuned_profile_name>
The list items
match
machineConfigLabels
match
true
machineConfigLabels
When using machine config pool based matching, it is advised to group nodes with the same hardware configuration into the same machine config pool. Not following this practice might result in TuneD operands calculating conflicting kernel parameters for two or more nodes sharing the same machine config pool.
Example: node or pod label based matching
- match:
- label: tuned.openshift.io/elasticsearch
match:
- label: node-role.kubernetes.io/master
- label: node-role.kubernetes.io/infra
type: pod
priority: 10
profile: openshift-control-plane-es
- match:
- label: node-role.kubernetes.io/master
- label: node-role.kubernetes.io/infra
priority: 20
profile: openshift-control-plane
- priority: 30
profile: openshift-node
The CR above is translated for the containerized TuneD daemon into its
recommend.conf
10
openshift-control-plane-es
tuned.openshift.io/elasticsearch
<match>
false
<match>
true
node-role.kubernetes.io/master
node-role.kubernetes.io/infra
If the labels for the profile with priority
10
openshift-control-plane-es
openshift-control-plane
node-role.kubernetes.io/master
node-role.kubernetes.io/infra
Finally, the profile
openshift-node
30
<match>
openshift-node
Example: machine config pool based matching
apiVersion: tuned.openshift.io/v1
kind: Tuned
metadata:
name: openshift-node-custom
namespace: openshift-cluster-node-tuning-operator
spec:
profile:
- data: |
[main]
summary=Custom OpenShift node profile with an additional kernel parameter
include=openshift-node
[bootloader]
cmdline_openshift_node_custom=+skew_tick=1
name: openshift-node-custom
recommend:
- machineConfigLabels:
machineconfiguration.openshift.io/role: "worker-custom"
priority: 20
profile: openshift-node-custom
To minimize node reboots, label the target nodes with a label the machine config pool’s node selector will match, then create the Tuned CR above and finally create the custom machine config pool itself.
5.5.3. Default profiles set on a cluster Copiar enlaceEnlace copiado en el portapapeles!
The following are the default profiles set on a cluster.
apiVersion: tuned.openshift.io/v1
kind: Tuned
metadata:
name: default
namespace: openshift-cluster-node-tuning-operator
spec:
profile:
- name: "openshift"
data: |
[main]
summary=Optimize systems running OpenShift (parent profile)
include=${f:virt_check:virtual-guest:throughput-performance}
[selinux]
avc_cache_threshold=8192
[net]
nf_conntrack_hashsize=131072
[sysctl]
net.ipv4.ip_forward=1
kernel.pid_max=>4194304
net.netfilter.nf_conntrack_max=1048576
net.ipv4.conf.all.arp_announce=2
net.ipv4.neigh.default.gc_thresh1=8192
net.ipv4.neigh.default.gc_thresh2=32768
net.ipv4.neigh.default.gc_thresh3=65536
net.ipv6.neigh.default.gc_thresh1=8192
net.ipv6.neigh.default.gc_thresh2=32768
net.ipv6.neigh.default.gc_thresh3=65536
vm.max_map_count=262144
[sysfs]
/sys/module/nvme_core/parameters/io_timeout=4294967295
/sys/module/nvme_core/parameters/max_retries=10
- name: "openshift-control-plane"
data: |
[main]
summary=Optimize systems running OpenShift control plane
include=openshift
[sysctl]
# ktune sysctl settings, maximizing i/o throughput
#
# Minimal preemption granularity for CPU-bound tasks:
# (default: 1 msec# (1 + ilog(ncpus)), units: nanoseconds)
kernel.sched_min_granularity_ns=10000000
# The total time the scheduler will consider a migrated process
# "cache hot" and thus less likely to be re-migrated
# (system default is 500000, i.e. 0.5 ms)
kernel.sched_migration_cost_ns=5000000
# SCHED_OTHER wake-up granularity.
#
# Preemption granularity when tasks wake up. Lower the value to
# improve wake-up latency and throughput for latency critical tasks.
kernel.sched_wakeup_granularity_ns=4000000
- name: "openshift-node"
data: |
[main]
summary=Optimize systems running OpenShift nodes
include=openshift
[sysctl]
net.ipv4.tcp_fastopen=3
fs.inotify.max_user_watches=65536
fs.inotify.max_user_instances=8192
recommend:
- profile: "openshift-control-plane"
priority: 30
match:
- label: "node-role.kubernetes.io/master"
- label: "node-role.kubernetes.io/infra"
- profile: "openshift-node"
priority: 40
5.5.4. Supported TuneD daemon plugins Copiar enlaceEnlace copiado en el portapapeles!
Excluding the
[main]
profile:
- audio
- cpu
- disk
- eeepc_she
- modules
- mounts
- net
- scheduler
- scsi_host
- selinux
- sysctl
- sysfs
- usb
- video
- vm
There is some dynamic tuning functionality provided by some of these plugins that is not supported. The following TuneD plugins are currently not supported:
- bootloader
- script
- systemd
See Available TuneD Plugins and Getting Started with TuneD for more information.
5.6. Remediating nodes with the Poison Pill Operator Copiar enlaceEnlace copiado en el portapapeles!
You can use the Poison Pill Operator to automatically reboot unhealthy nodes. This remediation strategy minimizes downtime for stateful applications and ReadWriteOnce (RWO) volumes, and restores compute capacity if transient failures occur.
5.6.1. About the Poison Pill Operator Copiar enlaceEnlace copiado en el portapapeles!
The Poison Pill Operator runs on the cluster nodes and reboots nodes that are identified as unhealthy. The Operator uses the
MachineHealthCheck
MachineHealthCheck
PoisonPillRemediation
The Poison Pill Operator provides the following capabilities:
- Minimizes downtime for stateful applications and restores compute capacity if transient failures occur.
- Independent of any management interface, such as IPMI or an API to provision a node.
5.6.1.1. Understanding the Poison Pill Operator configuration Copiar enlaceEnlace copiado en el portapapeles!
The Poison Pill Operator creates the
PoisonPillConfig
poison-pill-config
A change in the
PoisonPillConfig
The
PoisonPillConfig
apiVersion: poison-pill.medik8s.io/v1alpha1
kind: PoisonPillConfig
metadata:
name: poison-pill-config
namespace: openshift-operators
spec:
safeTimeToAssumeNodeRebootedSeconds: 180
watchdogFilePath: /test/watchdog1
- 1
- Specify the timeout duration for the surviving peer, after which the Operator can assume that an unhealthy node has been rebooted. The Operator automatically calculates the lower limit for this value. However, if different nodes have different watchdog timeouts, you must change this value to a higher value.
- 2
- Specify the file path of the watchdog device in the nodes. If a watchdog device is unavailable, the
PoisonPillConfigCR uses a software reboot.
5.6.2. Installing the Poison Pill Operator by using the web console Copiar enlaceEnlace copiado en el portapapeles!
You can use the OpenShift Container Platform web console to install the Poison Pill Operator.
Prerequisites
-
Log in as a user with privileges.
cluster-admin
Procedure
-
In the OpenShift Container Platform web console, navigate to Operators
OperatorHub. - Search for the Poison Pill Operator from the list of available Operators, and then click Install.
-
Keep the default selection of Installation mode and namespace to ensure that the Operator is installed to the namespace.
poison-pill - Click Install.
Verification
To confirm that the installation is successful:
-
Navigate to the Operators
Installed Operators page. -
Check that the Operator is installed in the namespace and its status is
poison-pill.Succeeded
If the Operator is not installed successfully:
-
Navigate to the Operators
Installed Operators page and inspect the column for any errors or failures.Status -
Navigate to the Workloads
Pods page and check the logs in any pods in the project that are reporting issues.poison-pill-controller-manager
5.6.3. Installing the Poison Pill Operator by using the CLI Copiar enlaceEnlace copiado en el portapapeles!
You can use the OpenShift CLI (
oc
Prerequisites
-
Install the OpenShift CLI ().
oc -
Log in as a user with privileges.
cluster-admin
Procedure
Create a
custom resource (CR) for the Poison Pill Operator:NamespaceDefine the
CR and save the YAML file, for example,Namespace:poison-pill-namespace.yamlapiVersion: v1 kind: Namespace metadata: name: poison-pillTo create the
CR, run the following command:Namespace$ oc create -f poison-pill-namespace.yaml
Create an
CR:OperatorGroupDefine the
CR and save the YAML file, for example,OperatorGroup:poison-pill-operator-group.yamlapiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: poison-pill-manager namespace: poison-pill spec: targetNamespaces: - poison-pillTo create the
CR, run the following command:OperatorGroup$ oc create -f poison-pill-operator-group.yaml
Create a
CR:SubscriptionDefine the
CR and save the YAML file, for example,Subscription:poison-pill-subscription.yamlapiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: poison-pill-manager namespace: poison-pill spec: channel: alpha name: poison-pill-manager source: redhat-operators sourceNamespace: openshift-marketplace package: poison-pill-managerTo create the
CR, run the following command:Subscription$ oc create -f poison-pill-subscription.yaml
Verification
Verify that the installation succeeded by inspecting the CSV resource:
$ oc get csv -n poison-pillExample output
NAME DISPLAY VERSION REPLACES PHASE poison-pill.v0.1.4 Poison Pill Operator 0.1.4 SucceededVerify that the Poison Pill Operator is up and running:
$ oc get deploy -n poison-pillExample output
NAME READY UP-TO-DATE AVAILABLE AGE poison-pill-controller-manager 1/1 1 1 10dVerify that the Poison Pill Operator created the
CR:PoisonPillConfig$ oc get PoisonPillConfig -n poison-pillExample output
NAME AGE poison-pill-config 10dVerify that each poison pill pod is scheduled and running on each worker node:
$ oc get daemonset -n poison-pillExample output
NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE poison-pill-ds 2 2 2 2 2 <none> 10dNoteThis command is unsupported for the control plane nodes.
5.6.4. Configuring machine health checks to use the Poison Pill Operator Copiar enlaceEnlace copiado en el portapapeles!
Use the following procedure to configure the machine health checks to use the Poison Pill Operator as a remediation provider.
Prerequisites
-
Install the OpenShift CLI ().
oc -
Log in as a user with privileges.
cluster-admin
Procedure
Create a
CR:PoisonPillRemediationTemplateDefine the
CR:PoisonPillRemediationTemplateapiVersion: poison-pill.medik8s.io/v1alpha1 kind: PoisonPillRemediationTemplate metadata: namespace: openshift-machine-api name: poisonpillremediationtemplate-sample spec: template: spec: {}To create the
CR, run the following command:PoisonPillRemediationTemplate$ oc create -f <ppr-name>.yaml
Create or update the
CR to point to theMachineHealthCheckCR:PoisonPillRemediationTemplateDefine or update the
CR:MachineHealthCheckapiVersion: machine.openshift.io/v1beta1 kind: MachineHealthCheck metadata: name: machine-health-check namespace: openshift-machine-api spec: selector: matchLabels: machine.openshift.io/cluster-api-machine-role: "worker" machine.openshift.io/cluster-api-machine-type: "worker" unhealthyConditions: - type: "Ready" timeout: "300s" status: "False" - type: "Ready" timeout: "300s" status: "Unknown" maxUnhealthy: "40%" nodeStartupTimeout: "10m" remediationTemplate:1 kind: PoisonPillRemediationTemplate apiVersion: poison-pill.medik8s.io/v1alpha1 name: <poison-pill-remediation-template-sample>- 1
- Specify the details for the remediation template.
To create a
CR, run the following command:MachineHealthCheck$ oc create -f <file-name>.yamlTo update a
CR, run the following command:MachineHealthCheck$ oc apply -f <file-name>.yaml
5.6.5. Troubleshooting the Poison Pill Operator Copiar enlaceEnlace copiado en el portapapeles!
5.6.5.1. General troubleshooting Copiar enlaceEnlace copiado en el portapapeles!
- Issue
- You want to troubleshoot issues with the Poison Pill Operator.
- Resolution
- Check the Operator logs.
5.6.5.2. Checking the daemon set Copiar enlaceEnlace copiado en el portapapeles!
- Issue
- The Poison Pill Operator is installed but the daemon set is not available.
- Resolution
- Check the Operator logs for errors or warnings.
5.6.5.3. Unsuccessful remediation Copiar enlaceEnlace copiado en el portapapeles!
- Issue
- An unhealthy node was not remediated.
- Resolution
Verify that the
CR was created by running the following command:PoisonPillRemediation$ oc get ppr -AIf the
controller did not create theMachineHealthCheckCR when the node turned unhealthy, check the logs of thePoisonPillRemediationcontroller. Additionally, ensure that theMachineHealthCheckCR includes the required specification to use the remediation template.MachineHealthCheckIf the
CR was created, ensure that its name matches the unhealthy node or the machine object.PoisonPillRemediation
5.6.5.4. Daemon set and other Poison Pill Operator resources exist even after uninstalling the Poison Pill Operator Copiar enlaceEnlace copiado en el portapapeles!
- Issue
- The Poison Pill Operator resources, such as the daemon set, configuration CR, and the remediation template CR, exist even after after uninstalling the Operator.
- Resolution
To remove the Poison Pill Operator resources, delete the resources by running the following commands for each resource type:
$ oc delete ds <poison-pill-ds> -n <namespace>$ oc delete ppc <poison-pill-config> -n <namespace>$ oc delete pprt <poison-pill-remediation-template> -n <namespace>
5.7. Understanding node rebooting Copiar enlaceEnlace copiado en el portapapeles!
To reboot a node without causing an outage for applications running on the platform, it is important to first evacuate the pods. For pods that are made highly available by the routing tier, nothing else needs to be done. For other pods needing storage, typically databases, it is critical to ensure that they can remain in operation with one pod temporarily going offline. While implementing resiliency for stateful pods is different for each application, in all cases it is important to configure the scheduler to use node anti-affinity to ensure that the pods are properly spread across available nodes.
Another challenge is how to handle nodes that are running critical infrastructure such as the router or the registry. The same node evacuation process applies, though it is important to understand certain edge cases.
5.7.1. About rebooting nodes running critical infrastructure Copiar enlaceEnlace copiado en el portapapeles!
When rebooting nodes that host critical OpenShift Container Platform infrastructure components, such as router pods, registry pods, and monitoring pods, ensure that there are at least three nodes available to run these components.
The following scenario demonstrates how service interruptions can occur with applications running on OpenShift Container Platform when only two nodes are available:
- Node A is marked unschedulable and all pods are evacuated.
- The registry pod running on that node is now redeployed on node B. Node B is now running both registry pods.
- Node B is now marked unschedulable and is evacuated.
- The service exposing the two pod endpoints on node B loses all endpoints, for a brief period of time, until they are redeployed to node A.
When using three nodes for infrastructure components, this process does not result in a service disruption. However, due to pod scheduling, the last node that is evacuated and brought back into rotation does not have a registry pod. One of the other nodes has two registry pods. To schedule the third registry pod on the last node, use pod anti-affinity to prevent the scheduler from locating two registry pods on the same node.
Additional information
- For more information on pod anti-affinity, see Placing pods relative to other pods using affinity and anti-affinity rules.
5.7.2. Rebooting a node using pod anti-affinity Copiar enlaceEnlace copiado en el portapapeles!
Pod anti-affinity is slightly different than node anti-affinity. Node anti-affinity can be violated if there are no other suitable locations to deploy a pod. Pod anti-affinity can be set to either required or preferred.
With this in place, if only two infrastructure nodes are available and one is rebooted, the container image registry pod is prevented from running on the other node.
oc get pods
Procedure
To reboot a node using pod anti-affinity:
Edit the node specification to configure pod anti-affinity:
apiVersion: v1 kind: Pod metadata: name: with-pod-antiaffinity spec: affinity: podAntiAffinity:1 preferredDuringSchedulingIgnoredDuringExecution:2 - weight: 1003 podAffinityTerm: labelSelector: matchExpressions: - key: registry4 operator: In5 values: - default topologyKey: kubernetes.io/hostname- 1
- Stanza to configure pod anti-affinity.
- 2
- Defines a preferred rule.
- 3
- Specifies a weight for a preferred rule. The node with the highest weight is preferred.
- 4
- Description of the pod label that determines when the anti-affinity rule applies. Specify a key and value for the label.
- 5
- The operator represents the relationship between the label on the existing pod and the set of values in the
matchExpressionparameters in the specification for the new pod. Can beIn,NotIn,Exists, orDoesNotExist.
This example assumes the container image registry pod has a label of
. Pod anti-affinity can use any Kubernetes match expression.registry=default-
Enable the scheduler predicate in the scheduling policy file.
MatchInterPodAffinity - Perform a graceful restart of the node.
5.7.3. Understanding how to reboot nodes running routers Copiar enlaceEnlace copiado en el portapapeles!
In most cases, a pod running an OpenShift Container Platform router exposes a host port.
The
PodFitsPorts
For router pods relying on an external service such as AWS Elastic Load Balancing for high availability, it is that service’s responsibility to react to router pod restarts.
In rare cases, a router pod may not have a host port configured. In those cases, it is important to follow the recommended restart process for infrastructure nodes.
5.7.4. Rebooting a node gracefully Copiar enlaceEnlace copiado en el portapapeles!
Before rebooting a node, it is recommended to backup etcd data to avoid any data loss on the node.
Procedure
To perform a graceful restart of a node:
Mark the node as unschedulable:
$ oc adm cordon <node1>Drain the node to remove all the running pods:
$ oc adm drain <node1> --ignore-daemonsets --delete-emptydir-dataYou might receive errors that pods associated with custom pod disruption budgets (PDB) cannot be evicted.
Example error
error when evicting pods/"rails-postgresql-example-1-72v2w" -n "rails" (will retry after 5s): Cannot evict pod as it would violate the pod's disruption budget.In this case, run the drain command again, adding the
flag, which bypasses the PDB checks:disable-eviction$ oc adm drain <node1> --ignore-daemonsets --delete-emptydir-data --force --disable-evictionAccess the node in debug mode:
$ oc debug node/<node1>Change your root directory to
:/host$ chroot /hostRestart the node:
$ systemctl rebootIn a moment, the node enters the
state.NotReadyAfter the reboot is complete, mark the node as schedulable by running the following command:
$ oc adm uncordon <node1>Verify that the node is ready:
$ oc get node <node1>Example output
NAME STATUS ROLES AGE VERSION <node1> Ready worker 6d22h v1.18.3+b0068a8
Additional information
For information on etcd data backup, see Backing up etcd data.
5.8. Freeing node resources using garbage collection Copiar enlaceEnlace copiado en el portapapeles!
As an administrator, you can use OpenShift Container Platform to ensure that your nodes are running efficiently by freeing up resources through garbage collection.
The OpenShift Container Platform node performs two types of garbage collection:
- Container garbage collection: Removes terminated containers.
- Image garbage collection: Removes images not referenced by any running pods.
5.8.1. Understanding how terminated containers are removed through garbage collection Copiar enlaceEnlace copiado en el portapapeles!
Container garbage collection can be performed using eviction thresholds.
When eviction thresholds are set for garbage collection, the node tries to keep any container for any pod accessible from the API. If the pod has been deleted, the containers will be as well. Containers are preserved as long the pod is not deleted and the eviction threshold is not reached. If the node is under disk pressure, it will remove containers and their logs will no longer be accessible using
oc logs
- eviction-soft - A soft eviction threshold pairs an eviction threshold with a required administrator-specified grace period.
- eviction-hard - A hard eviction threshold has no grace period, and if observed, OpenShift Container Platform takes immediate action.
The following table lists the eviction thresholds:
| Node condition | Eviction signal | Description |
|---|---|---|
| MemoryPressure |
| The available memory on the node. |
| DiskPressure |
| The available disk space or inodes on the node root file system,
|
For
evictionHard
If a node is oscillating above and below a soft eviction threshold, but not exceeding its associated grace period, the corresponding node would constantly oscillate between
true
false
To protect against this oscillation, use the
eviction-pressure-transition-period
5.8.2. Understanding how images are removed through garbage collection Copiar enlaceEnlace copiado en el portapapeles!
Image garbage collection relies on disk usage as reported by cAdvisor on the node to decide which images to remove from the node.
The policy for image garbage collection is based on two conditions:
- The percent of disk usage (expressed as an integer) which triggers image garbage collection. The default is 85.
- The percent of disk usage (expressed as an integer) to which image garbage collection attempts to free. Default is 80.
For image garbage collection, you can modify any of the following variables using a custom resource.
| Setting | Description |
|---|---|
|
| The minimum age for an unused image before the image is removed by garbage collection. The default is 2m. |
|
| The percent of disk usage, expressed as an integer, which triggers image garbage collection. The default is 85. |
|
| The percent of disk usage, expressed as an integer, to which image garbage collection attempts to free. The default is 80. |
Two lists of images are retrieved in each garbage collector run:
- A list of images currently running in at least one pod.
- A list of images available on a host.
As new containers are run, new images appear. All images are marked with a time stamp. If the image is running (the first list above) or is newly detected (the second list above), it is marked with the current time. The remaining images are already marked from the previous spins. All images are then sorted by the time stamp.
Once the collection starts, the oldest images get deleted first until the stopping criterion is met.
5.8.3. Configuring garbage collection for containers and images Copiar enlaceEnlace copiado en el portapapeles!
As an administrator, you can configure how OpenShift Container Platform performs garbage collection by creating a
kubeletConfig
OpenShift Container Platform supports only one
kubeletConfig
You can configure any combination of the following:
- Soft eviction for containers
- Hard eviction for containers
- Eviction for images
Prerequisites
Obtain the label associated with the static
CRD for the type of node you want to configure by entering the following command:MachineConfigPool$ oc edit machineconfigpool <name>For example:
$ oc edit machineconfigpool workerExample output
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfigPool metadata: creationTimestamp: "2022-11-16T15:34:25Z" generation: 4 labels: pools.operator.machineconfiguration.openshift.io/worker: ""1 name: worker- 1
- The label appears under Labels.
TipIf the label is not present, add a key/value pair such as:
$ oc label machineconfigpool worker custom-kubelet=small-pods
Procedure
Create a custom resource (CR) for your configuration change.
ImportantIf there is one file system, or if
and/var/lib/kubeletare in the same file system, the settings with the highest values trigger evictions, as those are met first. The file system triggers the eviction./var/lib/containers/Sample configuration for a container garbage collection CR:
apiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: worker-kubeconfig1 spec: machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""2 kubeletConfig: evictionSoft:3 memory.available: "500Mi"4 nodefs.available: "10%" nodefs.inodesFree: "5%" imagefs.available: "15%" imagefs.inodesFree: "10%" evictionSoftGracePeriod:5 memory.available: "1m30s" nodefs.available: "1m30s" nodefs.inodesFree: "1m30s" imagefs.available: "1m30s" imagefs.inodesFree: "1m30s" evictionHard:6 memory.available: "200Mi" nodefs.available: "5%" nodefs.inodesFree: "4%" imagefs.available: "10%" imagefs.inodesFree: "5%" evictionPressureTransitionPeriod: 0s7 imageMinimumGCAge: 5m8 imageGCHighThresholdPercent: 809 imageGCLowThresholdPercent: 7510 - 1
- Name for the object.
- 2
- Specify the label from the machine config pool.
- 3
- Type of eviction:
evictionSoftorevictionHard. - 4
- Eviction thresholds based on a specific eviction trigger signal.
- 5
- Grace periods for the soft eviction. This parameter does not apply to
eviction-hard. - 6
- Eviction thresholds based on a specific eviction trigger signal. For
evictionHardyou must specify all of these parameters. If you do not specify all parameters, only the specified parameters are applied and the garbage collection will not function properly. - 7
- The duration to wait before transitioning out of an eviction pressure condition.
- 8
- The minimum age for an unused image before the image is removed by garbage collection.
- 9
- The percent of disk usage (expressed as an integer) that triggers image garbage collection.
- 10
- The percent of disk usage (expressed as an integer) that image garbage collection attempts to free.
Run the following command to create the CR:
$ oc create -f <file_name>.yamlFor example:
$ oc create -f gc-container.yamlExample output
kubeletconfig.machineconfiguration.openshift.io/gc-container created
Verification
Verify that garbage collection is active by entering the following command. The Machine Config Pool you specified in the custom resource appears with
as 'true` until the change is fully implemented:UPDATING$ oc get machineconfigpoolExample output
NAME CONFIG UPDATED UPDATING master rendered-master-546383f80705bd5aeaba93 True False worker rendered-worker-b4c51bb33ccaae6fc4a6a5 False True
5.9. Allocating resources for nodes in an OpenShift Container Platform cluster Copiar enlaceEnlace copiado en el portapapeles!
To provide more reliable scheduling and minimize node resource overcommitment, reserve a portion of the CPU and memory resources for use by the underlying node components, such as
kubelet
kube-proxy
sshd
NetworkManager
system-reserved CPU and memory resources for your nodes or you can manually determine and set the best resources for your nodes.
5.9.1. Understanding how to allocate resources for nodes Copiar enlaceEnlace copiado en el portapapeles!
CPU and memory resources reserved for node components in OpenShift Container Platform are based on two node settings:
| Setting | Description |
|---|---|
|
| This setting is not used with OpenShift Container Platform. Add the CPU and memory resources that you planned to reserve to the
|
|
| This setting identifies the resources to reserve for the node components and system components, such as CRI-O and Kubelet. The default settings depend on the OpenShift Container Platform and Machine Config Operator versions. Confirm the default
|
If a flag is not set, the defaults are used. If none of the flags are set, the allocated resource is set to the node’s capacity as it was before the introduction of allocatable resources.
Any CPUs specifically reserved using the
reservedSystemCPUs
kube-reserved
system-reserved
5.9.1.1. How OpenShift Container Platform computes allocated resources Copiar enlaceEnlace copiado en el portapapeles!
An allocated amount of a resource is computed based on the following formula:
[Allocatable] = [Node Capacity] - [system-reserved] - [Hard-Eviction-Thresholds]
The withholding of
Hard-Eviction-Thresholds
Allocatable
Allocatable
If
Allocatable
0
Each node reports the system resources that are used by the container runtime and kubelet. To simplify configuring the
system-reserved
/api/v1/nodes/<node>/proxy/stats/summary
5.9.1.2. How nodes enforce resource constraints Copiar enlaceEnlace copiado en el portapapeles!
The node is able to limit the total amount of resources that pods can consume based on the configured allocatable value. This feature significantly improves the reliability of the node by preventing pods from using CPU and memory resources that are needed by system services such as the container runtime and node agent. To improve node reliability, administrators should reserve resources based on a target for resource use.
The node enforces resource constraints by using a new cgroup hierarchy that enforces quality of service. All pods are launched in a dedicated cgroup hierarchy that is separate from system daemons.
Administrators should treat system daemons similar to pods that have a guaranteed quality of service. System daemons can burst within their bounding control groups and this behavior must be managed as part of cluster deployments. Reserve CPU and memory resources for system daemons by specifying the amount of CPU and memory resources in
system-reserved
Enforcing
system-reserved
system-reserved
5.9.1.3. Understanding Eviction Thresholds Copiar enlaceEnlace copiado en el portapapeles!
If a node is under memory pressure, it can impact the entire node and all pods running on the node. For example, a system daemon that uses more than its reserved amount of memory can trigger an out-of-memory event. To avoid or reduce the probability of system out-of-memory events, the node provides out-of-resource handling.
You can reserve some memory using the
--eviction-hard
capacity - eviction-hard
The following is an example to illustrate the impact of node allocatable for memory:
-
Node capacity is
32Gi -
--system-reserved is
3Gi -
--eviction-hard is set to .
100Mi
For this node, the effective node allocatable value is
28.9Gi
28.9Gi
If you enforce node allocatable,
28.9Gi
28.9Gi
3.1Gi
If system daemons do not use up all their reservation, with the above example, pods would face memcg OOM kills from their bounding cgroup before node evictions kick in. To better enforce QoS under this situation, the node applies the hard eviction thresholds to the top-level cgroup for all pods to be
Node Allocatable + Eviction Hard Thresholds
If system daemons do not use up all their reservation, the node will evict pods whenever they consume more than
28.9Gi
29Gi
5.9.1.4. How the scheduler determines resource availability Copiar enlaceEnlace copiado en el portapapeles!
The scheduler uses the value of
node.Status.Allocatable
node.Status.Capacity
By default, the node will report its machine capacity as fully schedulable by the cluster.
5.9.2. Automatically allocating resources for nodes Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform can automatically determine the optimal
system-reserved
system-reserved
500m
system-reserved
1Gi
To automatically determine and allocate the
system-reserved
KubeletConfig
autoSizingReserved: true
Automatically determining the optimal
system-reserved
This feature is disabled by default.
Prerequisites
Obtain the label associated with the static
object for the type of node you want to configure by entering the following command:MachineConfigPool$ oc edit machineconfigpool <name>For example:
$ oc edit machineconfigpool workerExample output
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfigPool metadata: creationTimestamp: "2022-11-16T15:34:25Z" generation: 4 labels: pools.operator.machineconfiguration.openshift.io/worker: ""1 name: worker ...- 1
- The label appears under
Labels.
TipIf the label is not present, add a key/value pair such as:
$ oc label machineconfigpool worker custom-kubelet=small-pods
Procedure
Create a custom resource (CR) for your configuration change:
Sample configuration for a resource allocation CR
apiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: dynamic-node1 spec: autoSizingReserved: true2 machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""3 - 1
- Assign a name to CR.
- 2
- Add the
autoSizingReservedparameter set totrueto allow OpenShift Container Platform to automatically determine and allocate thesystem-reservedresources on the nodes associated with the specified label. To disable automatic allocation on those nodes, set this parameter tofalse. - 3
- Specify the label from the machine config pool.
The previous example enables automatic resource allocation on all worker nodes. OpenShift Container Platform drains the nodes, applies the kubelet config, and restarts the nodes.
Create the CR by entering the following command:
$ oc create -f <file_name>.yaml
Verification
Log in to a node you configured by entering the following command:
$ oc debug node/<node_name>Set
as the root directory within the debug shell:/host# chroot /hostView the
file:/etc/node-sizing.envExample output
SYSTEM_RESERVED_MEMORY=3Gi SYSTEM_RESERVED_CPU=0.08The kubelet uses the
values in thesystem-reservedfile. In the previous example, the worker nodes are allocated/etc/node-sizing.envCPU and 3 Gi of memory. It can take several minutes for the optimal values to appear.0.08
5.9.3. Manually allocating resources for nodes Copiar enlaceEnlace copiado en el portapapeles!
OpenShift Container Platform supports the CPU and memory resource types for allocation. The
ephemeral-resource
cpu
200m
0.5
1
memory
ephemeral-storage
200Ki
50Mi
5Gi
system-reserved
500m
system-reserved
1Gi
As an administrator, you can set these using a custom resource (CR) through a set of
<resource_type>=<resource_quantity>
cpu=200m,memory=512Mi
For details on the recommended
system-reserved
Prerequisites
Obtain the label associated with the static
CRD for the type of node you want to configure by entering the following command:MachineConfigPool$ oc edit machineconfigpool <name>For example:
$ oc edit machineconfigpool workerExample output
apiVersion: machineconfiguration.openshift.io/v1 kind: MachineConfigPool metadata: creationTimestamp: "2022-11-16T15:34:25Z" generation: 4 labels: pools.operator.machineconfiguration.openshift.io/worker: ""1 name: worker- 1
- The label appears under Labels.
TipIf the label is not present, add a key/value pair such as:
$ oc label machineconfigpool worker custom-kubelet=small-pods
Procedure
Create a custom resource (CR) for your configuration change.
Sample configuration for a resource allocation CR
apiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: set-allocatable1 spec: machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""2 kubeletConfig: systemReserved:3 cpu: 1000m memory: 1GiRun the following command to create the CR:
$ oc create -f <file_name>.yaml
5.10. Allocating specific CPUs for nodes in a cluster Copiar enlaceEnlace copiado en el portapapeles!
When using the static CPU Manager policy, you can reserve specific CPUs for use by specific nodes in your cluster. For example, on a system with 24 CPUs, you could reserve CPUs numbered 0 - 3 for the control plane allowing the compute nodes to use CPUs 4 - 23.
5.10.1. Reserving CPUs for nodes Copiar enlaceEnlace copiado en el portapapeles!
To explicitly define a list of CPUs that are reserved for specific nodes, create a
KubeletConfig
reservedSystemCPUs
systemReserved
kubeReserved
Procedure
Obtain the label associated with the machine config pool (MCP) for the type of node you want to configure:
$ oc describe machineconfigpool <name>For example:
$ oc describe machineconfigpool workerExample output
Name: worker Namespace: Labels: machineconfiguration.openshift.io/mco-built-in= pools.operator.machineconfiguration.openshift.io/worker=1 Annotations: <none> API Version: machineconfiguration.openshift.io/v1 Kind: MachineConfigPool ...- 1
- Get the MCP label.
Create a YAML file for the
CR:KubeletConfigapiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: set-reserved-cpus1 spec: kubeletConfig: reservedSystemCPUs: "0,1,2,3"2 machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""3 Create the CR object:
$ oc create -f <file_name>.yaml
5.11. Enabling TLS security profiles for the kubelet Copiar enlaceEnlace copiado en el portapapeles!
You can use a TLS (Transport Layer Security) security profile to define which TLS ciphers are required by the kubelet when it is acting as an HTTP server. The kubelet uses its HTTP/GRPC server to communicate with the Kubernetes API server, which sends commands to pods, gathers logs, and run exec commands on pods through the kubelet.
A TLS security profile defines the TLS ciphers that the Kubernetes API server must use when connecting with the kubelet to protect communication between the kubelet and the Kubernetes API server.
By default, when the kubelet acts as a client with the Kubernetes API server, it automatically negotiates the TLS parameters with the API server.
5.11.1. Understanding TLS security profiles Copiar enlaceEnlace copiado en el portapapeles!
You can use a TLS (Transport Layer Security) security profile to define which TLS ciphers are required by various OpenShift Container Platform components. The OpenShift Container Platform TLS security profiles are based on Mozilla recommended configurations.
You can specify one of the following TLS security profiles for each component:
| Profile | Description |
|---|---|
|
| This profile is intended for use with legacy clients or libraries. The profile is based on the Old backward compatibility recommended configuration. The
Note For the Ingress Controller, the minimum TLS version is converted from 1.0 to 1.1. |
|
| This profile is the recommended configuration for the majority of clients. It is the default TLS security profile for the Ingress Controller, kubelet, and control plane. The profile is based on the Intermediate compatibility recommended configuration. The
|
|
| This profile is intended for use with modern clients that have no need for backwards compatibility. This profile is based on the Modern compatibility recommended configuration. The
Note In OpenShift Container Platform 4.6, 4.7, and 4.8, the
Important The
|
|
| This profile allows you to define the TLS version and ciphers to use. Warning Use caution when using a
Note OpenShift Container Platform router enables Red Hat-distributed OpenSSL default set of TLS
|
When using one of the predefined profile types, the effective profile configuration is subject to change between releases. For example, given a specification to use the Intermediate profile deployed on release X.Y.Z, an upgrade to release X.Y.Z+1 might cause a new profile configuration to be applied, resulting in a rollout.
5.11.2. Configuring the TLS security profile for the kubelet Copiar enlaceEnlace copiado en el portapapeles!
To configure a TLS security profile for the kubelet when it is acting as an HTTP server, create a
KubeletConfig
Intermediate
Sample KubeletConfig CR that configures the Old TLS security profile on worker nodes
apiVersion: config.openshift.io/v1
kind: KubeletConfig
...
spec:
tlsSecurityProfile:
old: {}
type: Old
machineConfigPoolSelector:
matchLabels:
pools.operator.machineconfiguration.openshift.io/worker: ""
You can see the ciphers and the minimum TLS version of the configured TLS security profile in the
kubelet.conf
Prerequisites
-
You have access to the cluster as a user with the role.
cluster-admin
Procedure
Create a
CR to configure the TLS security profile:KubeletConfigSample
KubeletConfigCR for aCustomprofileapiVersion: machineconfiguration.openshift.io/v1 kind: KubeletConfig metadata: name: set-kubelet-tls-security-profile spec: tlsSecurityProfile: type: Custom1 custom:2 ciphers:3 - ECDHE-ECDSA-CHACHA20-POLY1305 - ECDHE-RSA-CHACHA20-POLY1305 - ECDHE-RSA-AES128-GCM-SHA256 - ECDHE-ECDSA-AES128-GCM-SHA256 minTLSVersion: VersionTLS11 machineConfigPoolSelector: matchLabels: pools.operator.machineconfiguration.openshift.io/worker: ""4 - 1
- Specify the TLS security profile type (
Old,Intermediate, orCustom). The default isIntermediate. - 2
- Specify the appropriate field for the selected type:
-
old: {} -
intermediate: {} -
custom:
-
- 3
- For the
customtype, specify a list of TLS ciphers and minimum accepted TLS version. - 4
- Optional: Specify the machine config pool label for the nodes you want to apply the TLS security profile.
Create the
object:KubeletConfig$ oc create -f <filename>Depending on the number of worker nodes in the cluster, wait for the configured nodes to be rebooted one by one.
Verification
To verify that the profile is set, perform the following steps after the nodes are in the
Ready
Start a debug session for a configured node:
$ oc debug node/<node_name>Set
as the root directory within the debug shell:/hostsh-4.4# chroot /hostView the
file:kubelet.confsh-4.4# cat /etc/kubernetes/kubelet.confExample output
kind: KubeletConfiguration apiVersion: kubelet.config.k8s.io/v1beta1 ... "tlsCipherSuites": [ "TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256", "TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256", "TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384", "TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384", "TLS_ECDHE_ECDSA_WITH_CHACHA20_POLY1305_SHA256", "TLS_ECDHE_RSA_WITH_CHACHA20_POLY1305_SHA256" ], "tlsMinVersion": "VersionTLS12",
5.12. Machine Config Daemon metrics Copiar enlaceEnlace copiado en el portapapeles!
The Machine Config Daemon is a part of the Machine Config Operator. It runs on every node in the cluster. The Machine Config Daemon manages configuration changes and updates on each of the nodes.
5.12.1. Machine Config Daemon metrics Copiar enlaceEnlace copiado en el portapapeles!
Beginning with OpenShift Container Platform 4.3, the Machine Config Daemon provides a set of metrics. These metrics can be accessed using the Prometheus Cluster Monitoring stack.
The following table describes this set of metrics.
Metrics marked with
*
While some entries contain commands for getting specific logs, the most comprehensive set of logs is available using the
oc adm must-gather
| Name | Format | Description | Notes |
|---|---|---|---|
|
|
| Shows the OS that MCD is running on, such as RHCOS or RHEL. In case of RHCOS, the version is provided. | |
|
|
| Shows the number of successful SSH authentications into the node. | The non-zero value shows that someone might have made manual changes to the node. Such changes might cause irreconcilable errors due to the differences between the state on the disk and the state defined in the machine configuration. |
|
|
| Logs errors received during failed drain. * | While drains might need multiple tries to succeed, terminal failed drains prevent updates from proceeding. The
For further investigation, see the logs by running:
|
|
|
| Logs errors encountered during pivot. * | Pivot errors might prevent OS upgrades from proceeding. For further investigation, run this command to access the node and see all its logs:
Alternatively, you can run this command to only see the logs from the
|
|
|
| State of Machine Config Daemon for the indicated node. Possible states are "Done", "Working", and "Degraded". In case of "Degraded", the reason is included. | For further investigation, see the logs by running:
|
|
|
| Logs kubelet health failures. * | This is expected to be empty, with failure count of 0. If failure count exceeds 2, the error indicating threshold is exceeded. This indicates a possible issue with the health of the kubelet. For further investigation, run this command to access the node and see all its logs:
|
|
|
| Logs the failed reboots and the corresponding errors. * | This is expected to be empty, which indicates a successful reboot. For further investigation, see the logs by running:
|
|
|
| Logs success or failure of configuration updates and the corresponding errors. | The expected value is
For further investigation, see the logs by running:
|
5.13. Creating infrastructure nodes Copiar enlaceEnlace copiado en el portapapeles!
This process is not applicable for clusters with manually provisioned machines. You can use the advanced machine management and scaling capabilities only in clusters where the Machine API is operational.
You can use infrastructure machine sets to create machines that host only infrastructure components, such as the default router, the integrated container image registry, and the components for cluster metrics and monitoring. These infrastructure machines are not counted toward the total number of subscriptions that are required to run the environment.
In a production deployment, it is recommended that you deploy at least three machine sets to hold infrastructure components. Both OpenShift Logging and Red Hat OpenShift Service Mesh deploy Elasticsearch, which requires three instances to be installed on different nodes. Each of these nodes can be deployed to different availability zones for high availability. This configuration requires three different machine sets, one for each availability zone. In global Azure regions that do not have multiple availability zones, you can use availability sets to ensure high availability.
5.13.1. OpenShift Container Platform infrastructure components Copiar enlaceEnlace copiado en el portapapeles!
The following infrastructure workloads do not incur OpenShift Container Platform worker subscriptions:
- Kubernetes and OpenShift Container Platform control plane services that run on masters
- The default router
- The integrated container image registry
- The HAProxy-based Ingress Controller
- The cluster metrics collection, or monitoring service, including components for monitoring user-defined projects
- Cluster aggregated logging
- Service brokers
- Red Hat Quay
- Red Hat OpenShift Container Storage
- Red Hat Advanced Cluster Manager
- Red Hat Advanced Cluster Security for Kubernetes
- Red Hat OpenShift GitOps
- Red Hat OpenShift Pipelines
Any node that runs any other container, pod, or component is a worker node that your subscription must cover.
For information about infrastructure nodes and which components can run on infrastructure nodes, see the "Red Hat OpenShift control plane and infrastructure nodes" section in the OpenShift sizing and subscription guide for enterprise Kubernetes document.
To create an infrastructure node, you can use a machine set, label the node, or use a machine config pool.
5.13.1.1. Creating an infrastructure node Copiar enlaceEnlace copiado en el portapapeles!
See Creating infrastructure machine sets for installer-provisioned infrastructure environments or for any cluster where the control plane nodes (also known as the master nodes) are managed by the machine API.
Requirements of the cluster dictate that infrastructure, also called
infra
app
Procedure
Add a label to the worker node that you want to act as application node:
$ oc label node <node-name> node-role.kubernetes.io/app=""Add a label to the worker nodes that you want to act as infrastructure nodes:
$ oc label node <node-name> node-role.kubernetes.io/infra=""Check to see if applicable nodes now have the
role andinfraroles:app$ oc get nodesCreate a default cluster-wide node selector. The default node selector is applied to pods created in all namespaces. This creates an intersection with any existing node selectors on a pod, which additionally constrains the pod’s selector.
ImportantIf the default node selector key conflicts with the key of a pod’s label, then the default node selector is not applied.
However, do not set a default node selector that might cause a pod to become unschedulable. For example, setting the default node selector to a specific node role, such as
, when a pod’s label is set to a different node role, such asnode-role.kubernetes.io/infra="", can cause the pod to become unschedulable. For this reason, use caution when setting the default node selector to specific node roles.node-role.kubernetes.io/master=""You can alternatively use a project node selector to avoid cluster-wide node selector key conflicts.
Edit the
object:Scheduler$ oc edit scheduler clusterAdd the
field with the appropriate node selector:defaultNodeSelectorapiVersion: config.openshift.io/v1 kind: Scheduler metadata: name: cluster ... spec: defaultNodeSelector: topology.kubernetes.io/region=us-east-11 ...- 1
- This example node selector deploys pods on nodes in the
us-east-1region by default.
- Save the file to apply the changes.
You can now move infrastructure resources to the newly labeled
infra