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command-line tool to deploy all the topology-aware-scheduling components

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topology-aware-scheduling deployer

deployer is a set of go packages and a command line tool to setup all the components and settings needed to enable the topology-aware-scheduling on a kubernetes cluster. Additionally, the tool can validate if the cluster configuration is compatible to the topology-aware-scheduling requirements.

goals and rationale

the deployer project wants to help anyone which want to work with the topology-aware scheduling stack providing:

  • a curated package including all the relevant components: CRD API, scheduler plugin, updater agent; a (growing) testsuite and a explicit review process ensure that the component work well together.
  • a single-artifact, no-dependencies tool to verify a given kubernetes or openshift cluster configuration is compatible with the topology-aware scheduling stack, offering suggestions for changes.
  • a single-artifact, no-dependecies tool to install/uninstall all the topology-aware scheduling stack on any kubernetes or openshift cluster.
  • a single, up-to-date, source for all the manifests needed by the topology-aware stack components
  • a set of reusable golang packages which can be used by other golang projects to deploy/undeploy or in general interact with the topology-aware stack components (e.g. operators)

please check RATIONALE.md for more detailed development notes about rationale for technical decisions.

requirements

  • kubernetes >= 1.21
  • a valid kubeconfig
  • validation only kubectl >= 1.21 in your PATH

compatibility matrix

Deployer NodeResourceTopology CRD version Scheduler plugins version RTE version NFD version
0.20.0 v0.1.1 v0.27.8 v0.18.z v0.15.z
0.16.0 - 0.19.0 v0.1.1 v0.26.7 v0.14.z v0.14.z
0.15.0 v0.1.1 v0.26.7 v0.13.z v0.14.z
0.11.0 - 0.14.0 v0.1.1 dev snapshot 20230315 v0.10.z dev snapshot 20230315
0.10.0 v0.0.12 v0.24.9 v0.9.z v0.12.z

how does it work?

rendering manifests

The depoloyer tool can render manifests for the topology-aware stack components, instead of sending them to the cluster. The manifests are rendered using the same code paths used by the tool internally, so they are functionally identically to the manifests the tool uses for its internal operations. See the render command:

$ deployer help render
render all the manifests

Usage:
  deployer render [flags]
  deployer render [command]

Available Commands:
  api              render the APIs needed for topology-aware-scheduling
  scheduler-plugin render the scheduler plugin needed for topology-aware-scheduling
  topology-updater render the topology updater needed for topology-aware-scheduling

Flags:
  -h, --help   help for render

Global Flags:
  -P, --platform string          platform to deploy on
      --pull-if-not-present      force pull policies to IfNotPresent.
  -R, --replicas int             set the replica value - where relevant. (default 1)
      --rte-config-file string   inject rte configuration reading from this file.

Use "deployer render [command] --help" for more information about a command.

deploy on a kubernetes cluster

Considering a kind cluster configured like this:

kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
kubeadmConfigPatches:
- |
  kind: KubeletConfiguration
  cpuManagerPolicy: "static"
  topologyManagerPolicy: "single-numa-node"
  reservedSystemCPUs: "0,16"
nodes:
- role: control-plane
- role: worker
- role: worker
- role: worker

Deploy all the topology-aware scheduling components:

$ kubectl get nodes
NAME                 STATUS   ROLES                  AGE     VERSION
kind-control-plane   Ready    control-plane,master   3m48s   v1.21.1
kind-worker          Ready    worker                 3m15s   v1.21.1
kind-worker2         Ready    worker                 3m15s   v1.21.1
kind-worker3         Ready    worker                 3m15s   v1.21.1

$ ./deployer deploy -W
2021/07/20 06:16:34 deploying topology-aware-scheduling API...
2021/07/20 06:16:34 -  API> created CustomResourceDefinition "noderesourcetopologies.topology.node.k8s.io"
2021/07/20 06:16:34 ...deployed topology-aware-scheduling API!
2021/07/20 06:16:34 deploying topology-aware-scheduling topology updater...
2021/07/20 06:16:35 -  RTE> created Namespace "tas-topology-updater"
2021/07/20 06:16:35 -  RTE> created ServiceAccount "rte"
2021/07/20 06:16:35 -  RTE> created ClusterRole "rte"
2021/07/20 06:16:35 -  RTE> created ClusterRoleBinding "rte"
2021/07/20 06:16:35 -  RTE> created DaemonSet "resource-topology-exporter-ds"
2021/07/20 06:16:35 wait for all the pods in deployment tas-topology-updater resource-topology-exporter-ds to be running and ready
2021/07/20 06:16:35 no pods found for tas-topology-updater resource-topology-exporter-ds
2021/07/20 06:16:36 pod tas-topology-updater resource-topology-exporter-ds-xb88c not ready yet (Pending)
2021/07/20 06:16:37 all the pods in daemonset tas-topology-updater resource-topology-exporter-ds are running and ready!
2021/07/20 06:16:37 ...deployed topology-aware-scheduling topology updater!
2021/07/20 06:16:37 deploying topology-aware-scheduling scheduler plugin...
2021/07/20 06:16:38 -  SCD> created ServiceAccount "topo-aware-scheduler"
2021/07/20 06:16:38 -  SCD> created ClusterRole "noderesourcetoplogy-handler"
2021/07/20 06:16:38 -  SCD> created ClusterRoleBinding "topo-aware-scheduler-as-kube-scheduler"
2021/07/20 06:16:38 -  SCD> created ClusterRoleBinding "noderesourcetoplogy"
2021/07/20 06:16:38 -  SCD> created ClusterRoleBinding "topo-aware-scheduler-as-volume-scheduler"
2021/07/20 06:16:38 -  SCD> created RoleBinding "topo-aware-scheduler-as-kube-scheduler"
2021/07/20 06:16:38 -  SCD> created ConfigMap "topo-aware-scheduler-config"
2021/07/20 06:16:38 -  SCD> created Deployment "topo-aware-scheduler"
2021/07/20 06:16:38 wait for all the pods in deployment kube-system topo-aware-scheduler to be running and ready
2021/07/20 06:16:38 no pods found for kube-system topo-aware-scheduler
2021/07/20 06:16:48 all the pods in deployment kube-system topo-aware-scheduler are running and ready!
2021/07/20 06:16:48 ...deployed topology-aware-scheduling scheduler plugin!

cleaning up (removing):

$ ./deployer remove -W
2021/07/20 06:18:12 removing topology-aware-scheduling scheduler plugin...
2021/07/20 06:18:13 -  SCD> deleted Deployment "topo-aware-scheduler"
2021/07/20 06:18:13 wait for all the pods in deployment kube-system topo-aware-scheduler to be gone
2021/07/20 06:18:13 error removing: still 1 pods found for kube-system topo-aware-scheduler
2021/07/20 06:18:13 removing topology-aware-scheduling topology updater...
2021/07/20 06:18:13 -  RTE> deleted Namespace "tas-topology-updater"
2021/07/20 06:18:13 wait for the deployment namespace "tas-topology-updater" to be gone
2021/07/20 06:18:40 namespace gone for daemonset "tas-topology-updater"!
2021/07/20 06:18:40 -  RTE> deleted ClusterRoleBinding "rte"
2021/07/20 06:18:40 -  RTE> deleted ClusterRole "rte"
2021/07/20 06:18:40 ...removed topology-aware-scheduling topology updater!
2021/07/20 06:18:40 removing topology-aware-scheduling API...
2021/07/20 06:18:41 -  API> deleted CustomResourceDefinition "noderesourcetopologies.topology.node.k8s.io"
2021/07/20 06:18:41 ...removed topology-aware-scheduling API!

validate the cluster configuration:

A kind cluster with the correct configuration:

kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
kubeadmConfigPatches:
- |
  kind: KubeletConfiguration
  cpuManagerPolicy: "static"
  topologyManagerPolicy: "single-numa-node"
  reservedSystemCPUs: "0,16"
nodes:
- role: control-plane
- role: worker
- role: worker
- role: worker

Does pass the validation:

$ ./deployer validate
PASSED>>: the cluster configuration looks ok!

A kind cluster configured like this

kind: Cluster
apiVersion: kind.x-k8s.io/v1alpha4
kubeadmConfigPatches:
- |
  kind: KubeletConfiguration
  cpuManagerPolicy: "static"
  reservedSystemCPUs: "0,16"
nodes:
- role: control-plane
- role: worker
- role: worker
- role: worker

Does not pass the validation:

$ ./deployer validate
ERROR#000: Incorrect configuration of node "kind-worker" area "kubelet" component "feature gates" setting "": expected "present" detected "missing data"
ERROR#001: Incorrect configuration of node "kind-worker" area "kubelet" component "topology manager" setting "policy": expected "single-numa-node" detected "none"
ERROR#002: Incorrect configuration of node "kind-worker2" area "kubelet" component "feature gates" setting "": expected "present" detected "missing data"
ERROR#003: Incorrect configuration of node "kind-worker2" area "kubelet" component "topology manager" setting "policy": expected "single-numa-node" detected "none"
ERROR#004: Incorrect configuration of node "kind-worker3" area "kubelet" component "feature gates" setting "": expected "present" detected "missing data"
ERROR#005: Incorrect configuration of node "kind-worker3" area "kubelet" component "topology manager" setting "policy": expected "single-numa-node" detected "none"

license

(C) 2021 Red Hat Inc and licensed under the Apache License v2

build

just run

make

releases

You can download pre-built binaries for Linux from the releases section. No container images are available nor planned.

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