$ oc get Tuned/default -o yaml -n openshift-cluster-node-tuning-operator
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, which is currently a Technology Preview feature, specified by user needs. The Operator manages the containerized tuned daemon for OpenShift Container Platform as a Kubernetes DaemonSet. 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.
The Node Tuning Operator is part of a standard OpenShift Container Platform installation in version 4.1 and later.
Use this process to access an example Node Tuning Operator specification.
Run:
$ oc get Tuned/default -o yaml -n openshift-cluster-node-tuning-operator
The custom resource (CR) for the operator has two major sections. The first
section, profile:
, is a list of tuned profiles and their names. The second,
recommend:
, defines the profile selection logic.
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.
Profile data
The profile:
section lists tuned profiles and their names.
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:
selection logic is defined by the recommend:
section of the CR:
recommend: - match: # optional; if omitted, profile match is assumed unless a profile with a higher matches first <match> # an optional array priority: <priority> # profile ordering priority, lower numbers mean higher priority (0 is the highest priority) profile: <tuned_profile_name> # e.g. tuned_profile_1 # ... - match: <match> priority: <priority> profile: <tuned_profile_name> # e.g. tuned_profile_n
If <match>
is omitted, a profile match (for example, true
) is assumed.
<match>
is an optional array recursively defined as follows:
- label: <label_name> # node or pod label name value: <label_value> # optional node or pod label value; if omitted, the presence of <label_name> is enough to match type: <label_type> # optional node or pod type ("node" or "pod"); if omitted, "node" is assumed <match> # an optional <match> array
If <match>
is not omitted, all nested <match>
sections must also evaluate to
true
. Otherwise, false
is assumed and the profile with the respective
<match>
section will not be applied or recommended. Therefore, the nesting
(child <match>
sections) works as logical AND operator. Conversely, if any
item of the <match>
array matches, the entire <match>
array evaluates to
true
. Therefore, the array acts as logical OR operator.
- 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
file based on the profile priorities. The profile with the
highest priority (10
) is openshift-control-plane-es
and, therefore, it is
considered first. The containerized tuned daemon running on a given node looks
to see if there is a pod running on the same node with the
tuned.openshift.io/elasticsearch
label set. If not, the entire <match>
section evaluates as false
. If there is such a pod with the label, in order for
the <match>
section to evaluate to true
, the node label also needs to be
node-role.kubernetes.io/master
or node-role.kubernetes.io/infra
.
If the labels for the profile with priority 10
matched,
openshift-control-plane-es
profile is applied and no other profile is
considered. If the node/pod label combination did not match, the second highest
priority profile (openshift-control-plane
) is considered. This profile is
applied if the containerized tuned pod runs on a node with labels
node-role.kubernetes.io/master
or node-role.kubernetes.io/infra
.
Finally, the profile openshift-node
has the lowest priority of 30
. It lacks
the <match>
section and, therefore, will always match. It acts as a profile
catch-all to set openshift-node
profile, if no other profile with higher
priority matches on a given node.
The following are the default profiles set on a cluster.
apiVersion: tuned.openshift.io/v1alpha1 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=>131072 net.netfilter.nf_conntrack_max=1048576 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 [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 - name: "openshift-control-plane-es" data: | [main] summary=Optimize systems running eS on OpenShift control-plane include=openshift-control-plane [sysctl] vm.max_map_count=262144 - name: "openshift-node-es" data: | [main] summary=Optimize systems running eS on OpenShift nodes include=openshift-node [sysctl] vm.max_map_count=262144 recommend: - profile: "openshift-control-plane-es" priority: 10 match: - label: "tuned.openshift.io/elasticsearch" type: "pod" match: - label: "node-role.kubernetes.io/master" - label: "node-role.kubernetes.io/infra" - profile: "openshift-node-es" priority: 20 match: - label: "tuned.openshift.io/elasticsearch" type: "pod" - profile: "openshift-control-plane" priority: 30 match: - label: "node-role.kubernetes.io/master" - label: "node-role.kubernetes.io/infra" - profile: "openshift-node" priority: 40
excluding the [main]
section, the following Tuned plug-ins are supported when
using custom profiles defined in the profile:
section of the Tuned CR:
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 plug-ins that is not supported. The following Tuned plug-ins are currently not supported:
bootloader
script
systemd
See Available Tuned Plug-ins and Getting Started with Tuned for more information.