// Module included in the following assemblies: // // * logging/cluster-logging-deploying.adoc [id="cluster-logging-deploy-cli_{context}"] = Installing cluster logging using the CLI You can use the {product-title} CLI to install the Elasticsearch and Cluster Logging operators. .Prerequisites * Ensure that you have the necessary persistent storage for Elasticsearch. Note that each Elasticsearch node requires its own storage volume. + Elasticsearch is a memory-intensive application. By default, {product-title} installs three Elasticsearch nodes with memory requests and limits of 16 GB. This initial set of three {product-title} nodes might not have enough memory to run Elasticsearch within your cluster. If you experience memory issues that are related to Elasticsearch, add more Elasticsearch nodes to your cluster rather than increasing the memory on existing nodes. .Procedure To install the Elasticsearch Operator and Cluster Logging Operator using the CLI: . Create a Namespace for the Elasticsearch Operator. .. Create a Namespace object YAML file (for example, `eo-namespace.yaml`) for the Elasticsearch Operator: + [source,yaml] ---- apiVersion: v1 kind: Namespace metadata: name: openshift-operators-redhat <1> annotations: openshift.io/node-selector: "" labels: openshift.io/cluster-monitoring: "true" <2> ---- <1> You must specify the `openshift-operators-redhat` Namespace. To prevent possible conflicts with metrics, you should configure the Prometheus Cluster Monitoring stack to scrape metrics from the `openshift-operators-redhat` Namespace and not the `openshift-operators` Namespace. The `openshift-operators` Namespace might contain Community Operators, which are untrusted and could publish a metric with the same name as an {product-title} metric, which would cause conflicts. <2> You must specify this label as shown to ensure that cluster monitoring scrapes the `openshift-operators-redhat` Namespace. .. Create the Namespace: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f eo-namespace.yaml ---- . Create a Namespace for the Cluster Logging Operator: .. Create a Namespace object YAML file (for example, `clo-namespace.yaml`) for the Cluster Logging Operator: + [source,yaml] ---- apiVersion: v1 kind: Namespace metadata: name: openshift-logging annotations: openshift.io/node-selector: "" labels: openshift.io/cluster-monitoring: "true" ---- .. Create the Namespace: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f clo-namespace.yaml ---- . Install the Elasticsearch Operator by creating the following objects: .. Create an Operator Group object YAML file (for example, `eo-og.yaml`) for the Elasticsearch operator: + [source,yaml] ---- apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: openshift-operators-redhat namespace: openshift-operators-redhat <1> spec: {} ---- <1> You must specify the `openshift-operators-redhat` Namespace. .. Create an Operator Group object: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f eo-og.yaml ---- .. Create a Subscription object YAML file (for example, `eo-sub.yaml`) to subscribe a Namespace to the Elasticsearch Operator. + .Example Subscription [source,yaml] ---- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: "elasticsearch-operator" namespace: "openshift-operators-redhat" <1> spec: channel: "4.6" <2> installPlanApproval: "Automatic" source: "redhat-operators" <3> sourceNamespace: "openshift-marketplace" name: "elasticsearch-operator" ---- <1> You must specify the `openshift-operators-redhat` Namespace. <2> Specify `4.6` as the channel. <3> Specify `redhat-operators`. If your {product-title} cluster is installed on a restricted network, also known as a disconnected cluster, specify the name of the CatalogSource object created when you configured the Operator Lifecycle Manager (OLM). .. Create the Subscription object: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f eo-sub.yaml ---- + The Elasticsearch Operator is installed to the `openshift-operators-redhat` Namespace and copied to each project in the cluster. .. Verify the Operator installation: + [source,terminal] ---- oc get csv --all-namespaces ---- + .Example output [source,terminal] ---- NAMESPACE NAME DISPLAY VERSION REPLACES PHASE default elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded kube-node-lease elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded kube-public elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded kube-system elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded openshift-apiserver-operator elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded openshift-apiserver elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded openshift-authentication-operator elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded openshift-authentication elasticsearch-operator.4.6.0-202007012112.p0 Elasticsearch Operator 4.6.0-202007012112.p0 Succeeded ... ---- + There should be an Elasticsearch Operator in each Namespace. The version number might be different than shown. . Install the Cluster Logging Operator by creating the following objects: .. Create an OperatorGroup object YAML file (for example, `clo-og.yaml`) for the Cluster Logging Operator: + [source,yaml] ---- apiVersion: operators.coreos.com/v1 kind: OperatorGroup metadata: name: cluster-logging namespace: openshift-logging <1> spec: targetNamespaces: - openshift-logging <1> ---- <1> You must specify the `openshift-logging` namespace. .. Create the OperatorGroup object: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f clo-og.yaml ---- .. Create a Subscription object YAML file (for example, `clo-sub.yaml`) to subscribe a Namespace to the Cluster Logging Operator. + [source,yaml] ---- apiVersion: operators.coreos.com/v1alpha1 kind: Subscription metadata: name: cluster-logging namespace: openshift-logging <1> spec: channel: "4.6" <2> name: cluster-logging source: redhat-operators <3> sourceNamespace: openshift-marketplace ---- <1> You must specify the `openshift-logging` Namespace. <2> Specify `4.6` as the channel. <3> Specify `redhat-operators`. If your OpenShift Container Platform cluster is installed on a restricted network, also known as a disconnected cluster, specify the name of the CatalogSource object you created when you configured the Operator Lifecycle Manager (OLM). .. Create the Subscription object: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f clo-sub.yaml ---- + The Cluster Logging Operator is installed to the `openshift-logging` Namespace. .. Verify the Operator installation. + There should be a Cluster Logging Operator in the `openshift-logging` Namespace. The Version number might be different than shown. + [source,terminal] ---- oc get csv -n openshift-logging ---- + .Example output [source,terminal] ---- NAMESPACE NAME DISPLAY VERSION REPLACES PHASE ... openshift-logging clusterlogging.4.6.0-202007012112.p0 Cluster Logging 4.6.0-202007012112.p0 Succeeded ... ---- . Create a Cluster Logging instance: .. Create an instance object YAML file (for example, `clo-instance.yaml`) for the Cluster Logging Operator: + [NOTE] ==== This default Cluster Logging configuration should support a wide array of environments. Review the topics on tuning and configuring the Cluster Logging components for information on modifications you can make to your Cluster Logging cluster. ==== + ifdef::openshift-dedicated[] [source,yaml] ---- apiVersion: "logging.openshift.io/v1" kind: "ClusterLogging" metadata: name: "instance" namespace: "openshift-logging" spec: managementState: "Managed" logStore: type: "elasticsearch" retentionPolicy: application: maxAge: 1d infra: maxAge: 7d audit: maxAge: 7d elasticsearch: nodeCount: 3 storage: storageClassName: gp2 size: "200Gi" redundancyPolicy: "SingleRedundancy" nodeSelector: node-role.kubernetes.io/worker: "" resources: request: memory: 8G visualization: type: "kibana" kibana: replicas: 1 nodeSelector: node-role.kubernetes.io/worker: "" curation: type: "curator" curator: schedule: "30 3 * * *" nodeSelector: node-role.kubernetes.io/worker: "" collection: logs: type: "fluentd" fluentd: {} nodeSelector: node-role.kubernetes.io/worker: "" ---- endif::[] ifdef::openshift-enterprise,openshift-webscale,openshift-origin[] [source,yaml] ---- apiVersion: "logging.openshift.io/v1" kind: "ClusterLogging" metadata: name: "instance" <1> namespace: "openshift-logging" spec: managementState: "Managed" <2> logStore: type: "elasticsearch" <3> retentionPolicy: <4> application: maxAge: 1d infra: maxAge: 7d audit: maxAge: 7d elasticsearch: nodeCount: 3 <5> storage: storageClassName: "" <6> size: 200G redundancyPolicy: "SingleRedundancy" visualization: type: "kibana" <7> kibana: replicas: 1 curation: type: "curator" curator: schedule: "30 3 * * *" <8> collection: logs: type: "fluentd" <9> fluentd: {} ---- <1> The name must be `instance`. <2> The cluster logging management state. In some cases, if you change the cluster logging defaults, you must set this to `Unmanaged`. However, an unmanaged deployment does not receive updates until cluster logging is placed back into a managed state. Placing a deployment back into a managed state might revert any modifications you made. <3> Settings for configuring Elasticsearch. Using the Custom Resource (CR), you can configure shard replication policy and persistent storage. <4> Specify the length of time that Elasticsearch should retain each log source. Enter an integer and a time designation: weeks(w), hours(h/H), minutes(m) and seconds(s). For example, `7d` for seven days. Logs older than the `maxAge` are deleted. You must specify a retention policy for each log source or the Elasticsearch indices will not be created for that source. <5> Specify the number of Elasticsearch nodes. See the note that follows this list. <6> Enter the name of an existing StorageClass for Elasticsearch storage. For best performance, specify a StorageClass that allocates block storage. If you do not specify a StorageClass, {product-title} deploys cluster logging with ephemeral storage only. <7> Settings for configuring Kibana. Using the CR, you can scale Kibana for redundancy and configure the CPU and memory for your Kibana pods. For more information, see *Configuring Kibana*. <8> Settings for configuring the Curator schedule. Curator is used to remove data that is in the Elasticsearch index format prior to {product-title} 4.5 and will be removed in a later release. <9> Settings for configuring Fluentd. Using the CR, you can configure Fluentd CPU and memory limits. For more information, see *Configuring Fluentd*. + [NOTE] + ==== The maximum number of Elasticsearch master nodes is three. If you specify a `nodeCount` greater than `3`, {product-title} creates three Elasticsearch nodes that are Master-eligible nodes, with the master, client, and data roles. The additional Elasticsearch nodes are created as Data-only nodes, using client and data roles. Master nodes perform cluster-wide actions such as creating or deleting an index, shard allocation, and tracking nodes. Data nodes hold the shards and perform data-related operations such as CRUD, search, and aggregations. Data-related operations are I/O-, memory-, and CPU-intensive. It is important to monitor these resources and to add more Data nodes if the current nodes are overloaded. For example, if `nodeCount=4`, the following nodes are created: [source,terminal] ---- $ oc get deployment ---- .Example output [source,terminal] ---- cluster-logging-operator 1/1 1 1 18h elasticsearch-cd-x6kdekli-1 1/1 1 0 6m54s elasticsearch-cdm-x6kdekli-1 1/1 1 1 18h elasticsearch-cdm-x6kdekli-2 1/1 1 0 6m49s elasticsearch-cdm-x6kdekli-3 1/1 1 0 6m44s ---- The number of primary shards for the index templates is equal to the number of Elasticsearch data nodes. ==== .. Create the instance: + [source,terminal] ---- $ oc create -f .yaml ---- + For example: + [source,terminal] ---- $ oc create -f clo-instance.yaml ---- + This creates the Cluster Logging components, the Elasticsearch Custom Resource and components, and the Kibana interface. . Verify the install by listing the pods in the *openshift-logging* project. + You should see several pods for Cluster Logging, Elasticsearch, Fluentd, and Kibana similar to the following list: + [source,terminal] ---- oc get pods -n openshift-logging ---- + .Example output [source,terminal] ---- NAME READY STATUS RESTARTS AGE cluster-logging-operator-66f77ffccb-ppzbg 1/1 Running 0 7m elasticsearch-cdm-ftuhduuw-1-ffc4b9566-q6bhp 2/2 Running 0 2m40s elasticsearch-cdm-ftuhduuw-2-7b4994dbfc-rd2gc 2/2 Running 0 2m36s elasticsearch-cdm-ftuhduuw-3-84b5ff7ff8-gqnm2 2/2 Running 0 2m4s fluentd-587vb 1/1 Running 0 2m26s fluentd-7mpb9 1/1 Running 0 2m30s fluentd-flm6j 1/1 Running 0 2m33s fluentd-gn4rn 1/1 Running 0 2m26s fluentd-nlgb6 1/1 Running 0 2m30s fluentd-snpkt 1/1 Running 0 2m28s kibana-d6d5668c5-rppqm 2/2 Running 0 2m39s ----