Chapter 8. Configuring your Logging deployment 8.1. Configuring CPU and memory limits for logging components You can configure both the CPU and memory limits for each of the logging components as needed. 8.1.1. Configuring CPU and memory limits The logging components allow for adjustments to both the CPU and memory limits. Procedure Edit the ClusterLogging custom resource (CR) in the openshift-logging project: USD oc -n openshift-logging edit ClusterLogging instance apiVersion: "logging.openshift.io/v1" kind: "ClusterLogging" metadata: name: "instance" namespace: openshift-logging ... spec: managementState: "Managed" logStore: type: "elasticsearch" elasticsearch: nodeCount: 3 resources: 1 limits: memory: 16Gi requests: cpu: 200m memory: 16Gi storage: storageClassName: "gp2" size: "200G" redundancyPolicy: "SingleRedundancy" visualization: type: "kibana" kibana: resources: 2 limits: memory: 1Gi requests: cpu: 500m memory: 1Gi proxy: resources: 3 limits: memory: 100Mi requests: cpu: 100m memory: 100Mi replicas: 2 collection: resources: 4 limits: memory: 736Mi requests: cpu: 200m memory: 736Mi type: fluentd 1 Specify the CPU and memory limits and requests for the log store as needed. For Elasticsearch, you must adjust both the request value and the limit value. 2 3 Specify the CPU and memory limits and requests for the log visualizer as needed. 4 Specify the CPU and memory limits and requests for the log collector as needed. 8.2. Configuring systemd-journald and Fluentd Because Fluentd reads from the journal, and the journal default settings are very low, journal entries can be lost because the journal cannot keep up with the logging rate from system services. We recommend setting RateLimitIntervalSec=30s and RateLimitBurst=10000 (or even higher if necessary) to prevent the journal from losing entries. 8.2.1. Configuring systemd-journald for OpenShift Logging As you scale up your project, the default logging environment might need some adjustments. For example, if you are missing logs, you might have to increase the rate limits for journald. You can adjust the number of messages to retain for a specified period of time to ensure that OpenShift Logging does not use excessive resources without dropping logs. You can also determine if you want the logs compressed, how long to retain logs, how or if the logs are stored, and other settings. Procedure Create a Butane config file, 40-worker-custom-journald.bu , that includes an /etc/systemd/journald.conf file with the required settings. Note See "Creating machine configs with Butane" for information about Butane. variant: openshift version: 4.13.0 metadata: name: 40-worker-custom-journald labels: machineconfiguration.openshift.io/role: "worker" storage: files: - path: /etc/systemd/journald.conf mode: 0644 1 overwrite: true contents: inline: | Compress=yes 2 ForwardToConsole=no 3 ForwardToSyslog=no MaxRetentionSec=1month 4 RateLimitBurst=10000 5 RateLimitIntervalSec=30s Storage=persistent 6 SyncIntervalSec=1s 7 SystemMaxUse=8G 8 SystemKeepFree=20% 9 SystemMaxFileSize=10M 10 1 Set the permissions for the journald.conf file. It is recommended to set 0644 permissions. 2 Specify whether you want logs compressed before they are written to the file system. Specify yes to compress the message or no to not compress. The default is yes . 3 Configure whether to forward log messages. Defaults to no for each. Specify: ForwardToConsole to forward logs to the system console. ForwardToKMsg to forward logs to the kernel log buffer. ForwardToSyslog to forward to a syslog daemon. ForwardToWall to forward messages as wall messages to all logged-in users. 4 Specify the maximum time to store journal entries. Enter a number to specify seconds. Or include a unit: "year", "month", "week", "day", "h" or "m". Enter 0 to disable. The default is 1month . 5 Configure rate limiting. If more logs are received than what is specified in RateLimitBurst during the time interval defined by RateLimitIntervalSec , all further messages within the interval are dropped until the interval is over. It is recommended to set RateLimitIntervalSec=30s and RateLimitBurst=10000 , which are the defaults. 6 Specify how logs are stored. The default is persistent : volatile to store logs in memory in /run/log/journal/ . These logs are lost after rebooting. persistent to store logs to disk in /var/log/journal/ . systemd creates the directory if it does not exist. auto to store logs in /var/log/journal/ if the directory exists. If it does not exist, systemd temporarily stores logs in /run/systemd/journal . none to not store logs. systemd drops all logs. 7 Specify the timeout before synchronizing journal files to disk for ERR , WARNING , NOTICE , INFO , and DEBUG logs. systemd immediately syncs after receiving a CRIT , ALERT , or EMERG log. The default is 1s . 8 Specify the maximum size the journal can use. The default is 8G . 9 Specify how much disk space systemd must leave free. The default is 20% . 10 Specify the maximum size for individual journal files stored persistently in /var/log/journal . The default is 10M . Note If you are removing the rate limit, you might see increased CPU utilization on the system logging daemons as it processes any messages that would have previously been throttled. For more information on systemd settings, see https://www.freedesktop.org/software/systemd/man/journald.conf.html . The default settings listed on that page might not apply to OpenShift Container Platform. Use Butane to generate a MachineConfig object file, 40-worker-custom-journald.yaml , containing the configuration to be delivered to the nodes: USD butane 40-worker-custom-journald.bu -o 40-worker-custom-journald.yaml Apply the machine config. For example: USD oc apply -f 40-worker-custom-journald.yaml The controller detects the new MachineConfig object and generates a new rendered-worker-<hash> version. Monitor the status of the rollout of the new rendered configuration to each node: USD oc describe machineconfigpool/worker Example output Name: worker Namespace: Labels: machineconfiguration.openshift.io/mco-built-in= Annotations: <none> API Version: machineconfiguration.openshift.io/v1 Kind: MachineConfigPool ... Conditions: Message: Reason: All nodes are updating to rendered-worker-913514517bcea7c93bd446f4830bc64e

Commands:
oc -n openshift-logging edit ClusterLogging instance
apiVersion: "logging.openshift.io/v1" kind: "ClusterLogging" metadata: name: "instance" namespace: openshift-logging spec: managementState: "Managed" logStore: type: "elasticsearch" elasticsearch: nodeCount: 3 resources: 1 limits: memory: 16Gi requests: cpu: 200m memory: 16Gi storage: storageClassName: "gp2" size: "200G" redundancyPolicy: "SingleRedundancy" visualization: type: "kibana" kibana: resources: 2 limits: memory: 1Gi requests: cpu: 500m memory: 1Gi proxy: resources: 3 limits: memory: 100Mi requests: cpu: 100m memory: 100Mi replicas: 2 collection: resources: 4 limits: memory: 736Mi requests: cpu: 200m memory: 736Mi type: fluentd
variant: openshift version: 4.13.0 metadata: name: 40-worker-custom-journald labels: machineconfiguration.openshift.io/role: "worker" storage: files: - path: /etc/systemd/journald.conf mode: 0644 1 overwrite: true contents: inline: | Compress=yes 2 ForwardToConsole=no 3 ForwardToSyslog=no MaxRetentionSec=1month 4 RateLimitBurst=10000 5 RateLimitIntervalSec=30s Storage=persistent 6 SyncIntervalSec=1s 7 SystemMaxUse=8G 8 SystemKeepFree=20% 9 SystemMaxFileSize=10M 10
butane 40-worker-custom-journald.bu -o 40-worker-custom-journald.yaml
oc apply -f 40-worker-custom-journald.yaml
oc describe machineconfigpool/worker
Name: worker Namespace: Labels: machineconfiguration.openshift.io/mco-built-in= Annotations: <none> API Version: machineconfiguration.openshift.io/v1 Kind: MachineConfigPool Conditions: Message: Reason: All nodes are updating to rendered-worker-913514517bcea7c93bd446f4830bc64e