mirror of
https://github.com/clearlinux/cloud-native-setup.git
synced 2026-08-18 21:16:16 +00:00
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| b4e6813ed6 |
Vendored
+56
@@ -0,0 +1,56 @@
|
||||
pipeline {
|
||||
agent {
|
||||
label 'clearlinux'
|
||||
}
|
||||
options {
|
||||
timeout(time: 1, unit: "HOURS")
|
||||
}
|
||||
triggers {
|
||||
cron('H */12 * * *')
|
||||
}
|
||||
environment {
|
||||
CLR_K8S_PATH="${env.WORKSPACE}/clr-k8s-examples"
|
||||
}
|
||||
stages {
|
||||
stage('Setup system') {
|
||||
steps {
|
||||
dir(path: "$CLR_K8S_PATH") {
|
||||
sh './setup_system.sh'
|
||||
}
|
||||
}
|
||||
}
|
||||
stage('Init') {
|
||||
steps {
|
||||
dir(path: "$CLR_K8S_PATH") {
|
||||
sh './create_stack.sh init'
|
||||
sh 'mkdir -p $HOME/.kube'
|
||||
sh 'sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config'
|
||||
sh 'sudo chown $(id -u):$(id -g) $HOME/.kube/config'
|
||||
sh 'kubectl version'
|
||||
}
|
||||
}
|
||||
}
|
||||
stage('CNI') {
|
||||
steps {
|
||||
dir(path: "$CLR_K8S_PATH") {
|
||||
sh './create_stack.sh cni'
|
||||
sh 'kubectl rollout status deployment/coredns -n kube-system --timeout=5m'
|
||||
sh 'kubectl get pods -n kube-system'
|
||||
}
|
||||
}
|
||||
}
|
||||
stage('Reset Stack') {
|
||||
steps {
|
||||
dir(path: "$CLR_K8S_PATH") {
|
||||
sh './reset_stack.sh'
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
post {
|
||||
always {
|
||||
sh 'uname -a'
|
||||
sh 'swupd info'
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
- canal/canal.yaml
|
||||
@@ -0,0 +1,4 @@
|
||||
resources:
|
||||
- canal/canal.yaml
|
||||
|
||||
|
||||
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
cilium/cilium.yaml
|
||||
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
cilium/cilium.yaml
|
||||
@@ -0,0 +1,5 @@
|
||||
ipam:
|
||||
mode: "cluster-pool"
|
||||
operator:
|
||||
clusterPoolIPv4PodCIDR: "10.244.0.0/16"
|
||||
clusterPoolIPv4MaskSize: 24
|
||||
+2
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
- flannel/Documentation/kube-flannel.yml
|
||||
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
- flannel/Documentation/kube-flannel.yml
|
||||
@@ -0,0 +1,2 @@
|
||||
resources:
|
||||
- flannel/Documentation/kube-flannel.yml
|
||||
@@ -0,0 +1,8 @@
|
||||
resources:
|
||||
- metrics-server/deploy/1.8+/aggregated-metrics-reader.yaml
|
||||
- metrics-server/deploy/1.8+/auth-delegator.yaml
|
||||
- metrics-server/deploy/1.8+/auth-reader.yaml
|
||||
- metrics-server/deploy/1.8+/metrics-apiservice.yaml
|
||||
- metrics-server/deploy/1.8+/metrics-server-deployment.yaml
|
||||
- metrics-server/deploy/1.8+/metrics-server-service.yaml
|
||||
- metrics-server/deploy/1.8+/resource-reader.yaml
|
||||
@@ -0,0 +1,3 @@
|
||||
resources:
|
||||
- ingress-nginx/deploy/static/mandatory.yaml
|
||||
- ingress-nginx/deploy/static/provider/baremetal/service-nodeport.yaml
|
||||
@@ -0,0 +1,6 @@
|
||||
resources:
|
||||
- metallb/manifests/example-layer2-config.yaml
|
||||
- metallb/manifests/metallb.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
- patch_configmap.yaml
|
||||
@@ -0,0 +1,11 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: config
|
||||
data:
|
||||
config: |
|
||||
address-pools:
|
||||
- name: my-ip-space
|
||||
protocol: layer2
|
||||
addresses:
|
||||
- 10.0.0.240/28
|
||||
+5
-1
@@ -1,7 +1,11 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
- patch_operator.yaml
|
||||
- patch_operator.yaml
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
+2
-1
@@ -1,3 +1,4 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
@@ -6,4 +7,4 @@ metadata:
|
||||
spec:
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
- path: /var/lib/rook
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,22 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
mon:
|
||||
allowMultiplePerNode: true
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephBlockPool
|
||||
metadata:
|
||||
name: replicapool
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
replicated:
|
||||
requireSafeReplicaSize: false
|
||||
size: 1
|
||||
@@ -0,0 +1,10 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,22 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
mon:
|
||||
allowMultiplePerNode: true
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephBlockPool
|
||||
metadata:
|
||||
name: replicapool
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
replicated:
|
||||
requireSafeReplicaSize: false
|
||||
size: 1
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,10 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,22 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
mon:
|
||||
allowMultiplePerNode: true
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephBlockPool
|
||||
metadata:
|
||||
name: replicapool
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
replicated:
|
||||
requireSafeReplicaSize: false
|
||||
size: 1
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,10 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
@@ -0,0 +1,10 @@
|
||||
resources:
|
||||
- rook/cluster/examples/kubernetes/ceph/common.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/operator.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/cluster.yaml
|
||||
- rook/cluster/examples/kubernetes/ceph/csi/rbd/storageclass.yaml
|
||||
|
||||
patchesStrategicMerge:
|
||||
# patches rook to use 'directories' instead of partitions.
|
||||
# comment out to use partitions
|
||||
- patch_cephcluster.yaml
|
||||
@@ -0,0 +1,22 @@
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephCluster
|
||||
metadata:
|
||||
name: rook-ceph
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
mon:
|
||||
allowMultiplePerNode: true
|
||||
storage:
|
||||
directories:
|
||||
- path: /var/lib/rook
|
||||
---
|
||||
apiVersion: ceph.rook.io/v1
|
||||
kind: CephBlockPool
|
||||
metadata:
|
||||
name: replicapool
|
||||
namespace: rook-ceph
|
||||
spec:
|
||||
replicated:
|
||||
requireSafeReplicaSize: false
|
||||
size: 1
|
||||
@@ -0,0 +1,11 @@
|
||||
resources:
|
||||
- packaging/kata-deploy/kata-deploy.yaml
|
||||
- packaging/kata-deploy/kata-rbac.yaml
|
||||
- packaging/kata-deploy/k8s-1.14/kata-fc-runtimeClass.yaml
|
||||
- packaging/kata-deploy/k8s-1.14/kata-qemu-runtimeClass.yaml
|
||||
|
||||
images:
|
||||
# change 'latest' to specified version
|
||||
- name: katadocker/kata-deploy
|
||||
newName: katadocker/kata-deploy
|
||||
newTag: 1.9.1
|
||||
@@ -1,20 +1,28 @@
|
||||
# Build multus plugin
|
||||
FROM golang:1.10 AS multus
|
||||
RUN git clone -q --depth 1 https://github.com/intel/multus-cni.git /go/src/github.com/intel/multus-cni
|
||||
WORKDIR /go/src/github.com/intel/multus-cni
|
||||
RUN ./build
|
||||
FROM busybox AS multus
|
||||
ARG MULTUS_VER=3.4.2
|
||||
RUN wget -O multus.tgz https://github.com/intel/multus-cni/releases/download/v${MULTUS_VER}/multus-cni_${MULTUS_VER}_linux_amd64.tar.gz
|
||||
RUN tar xvzf multus.tgz --strip-components=1 -C /bin
|
||||
|
||||
# Build sriov plugin
|
||||
FROM golang:1.10 AS sriov-cni
|
||||
RUN git clone -q -b dev/k8s-deviceid-model https://github.com/Intel-Corp/sriov-cni.git /go/src/github.com/intel-corp/sriov-cni
|
||||
WORKDIR /go/src/github.com/intel-corp/sriov-cni
|
||||
RUN ./build
|
||||
FROM golang AS sriov-cni
|
||||
ARG SRIOV_CNI_VER=2.3
|
||||
RUN wget -qO sriov-cni.tgz https://github.com/intel/sriov-cni/archive/v${SRIOV_CNI_VER}.tar.gz
|
||||
RUN mkdir -p sriov-cni && \
|
||||
tar xzf sriov-cni.tgz --strip-components=1 -C sriov-cni && \
|
||||
cd sriov-cni && \
|
||||
make && \
|
||||
cp build/sriov /bin
|
||||
|
||||
# Build sriov device plugin
|
||||
FROM golang:1.10 AS sriov-dp
|
||||
RUN git clone -q https://github.com/intel/sriov-network-device-plugin.git /go/src/github.com/intel/sriov-network-device-plugin
|
||||
WORKDIR /go/src/github.com/intel/sriov-network-device-plugin
|
||||
RUN make
|
||||
FROM golang AS sriov-dp
|
||||
ARG SRIOV_DP_VER=3.2
|
||||
RUN wget -qO sriov-dp.tgz https://github.com/intel/sriov-network-device-plugin/archive/v${SRIOV_DP_VER}.tar.gz
|
||||
RUN mkdir -p sriov-dp && \
|
||||
tar xzf sriov-dp.tgz --strip-components=1 -C sriov-dp && \
|
||||
cd sriov-dp && \
|
||||
make && \
|
||||
cp build/sriovdp /bin
|
||||
|
||||
# Build vfioveth plugin
|
||||
FROM busybox as vfioveth
|
||||
@@ -25,9 +33,9 @@ RUN chmod +x /bin/vfioveth /bin/jq
|
||||
# Final image
|
||||
FROM centos/systemd
|
||||
WORKDIR /tmp/cni/bin
|
||||
COPY --from=multus /go/src/github.com/intel/multus-cni/bin/multus .
|
||||
COPY --from=sriov-cni /go/src/github.com/intel-corp/sriov-cni/bin/sriov .
|
||||
COPY --from=multus /bin/multus-cni .
|
||||
COPY --from=sriov-cni /bin/sriov .
|
||||
COPY --from=vfioveth /bin/vfioveth .
|
||||
COPY --from=vfioveth /bin/jq .
|
||||
WORKDIR /usr/bin
|
||||
COPY --from=sriov-dp /go/src/github.com/intel/sriov-network-device-plugin/build/sriovdp .
|
||||
COPY --from=sriov-dp /bin/sriovdp .
|
||||
|
||||
@@ -9,11 +9,10 @@ directories on the host with the necessary binaries and configuration files.
|
||||
|
||||
### Customization
|
||||
|
||||
The device plugin will register the SR-IOV enabled devices on the host, specified as
|
||||
`rootDevices` in [sriov-conf.yaml](sriov-conf.yaml). Helper [systemd unit](systemd/sriov.service)
|
||||
file is provided, which enables SR-IOV for the above `rootDevices`
|
||||
|
||||
> NOTE: This assumes homogenous nodes in the cluster
|
||||
The device plugin will register the SR-IOV enabled devices on the host, specified with
|
||||
`selectors` in [sriov-conf.yaml](sriov-conf.yaml). Helper [systemd unit](systemd/sriov.service)
|
||||
file is provided, which enables SR-IOV for the above devices. More config options
|
||||
are listed [here](https://github.com/intel/sriov-network-device-plugin#configurations).
|
||||
|
||||
### Pre-req (SR-IOV only)
|
||||
|
||||
|
||||
@@ -38,7 +38,7 @@ add_pair_ns() {
|
||||
ln -sfT $CNI_NETNS /var/run/netns/$CNI_CONTAINERID
|
||||
|
||||
ip netns exec $CNI_CONTAINERID ip link add $CNI_IFNAME type veth peer name $peer
|
||||
ip netns exec $CNI_CONTAINERID ip link set $CNI_IFNAME addr $mac up
|
||||
ip netns exec $CNI_CONTAINERID ip link set $CNI_IFNAME addr $mac up alias $vfpci
|
||||
ip netns exec $CNI_CONTAINERID ip link set $peer up
|
||||
ip netns exec $CNI_CONTAINERID ip addr add $ip dev $CNI_IFNAME
|
||||
}
|
||||
@@ -50,9 +50,9 @@ delete_pair_ns() {
|
||||
case $CNI_COMMAND in
|
||||
ADD)
|
||||
res=$(ipam)
|
||||
ip=$(echo $res | jq -r '.ip4.ip')
|
||||
ip=$(echo $res | jq -r '.ips[0].address')
|
||||
add_pair_ns $ip
|
||||
echo '{"cniVersion":"0.2.0"}' | jq -c --arg ip $ip '.ip4.ip = $ip' >&3
|
||||
echo '{"cniVersion":"0.3.1"}' | jq -c --arg ip $ip '.ips[0].address = $ip' >&3
|
||||
;;
|
||||
DEL)
|
||||
set +o errexit
|
||||
|
||||
@@ -2,25 +2,34 @@
|
||||
apiVersion: apiextensions.k8s.io/v1
|
||||
kind: CustomResourceDefinition
|
||||
metadata:
|
||||
# name must match the spec fields below, and be in the form: <plural>.<group>
|
||||
name: network-attachment-definitions.k8s.cni.cncf.io
|
||||
spec:
|
||||
# group name to use for REST API: /apis/<group>/<version>
|
||||
group: k8s.cni.cncf.io
|
||||
# version name to use for REST API: /apis/<group>/<version>
|
||||
version: v1
|
||||
# either Namespaced or Cluster
|
||||
scope: Namespaced
|
||||
names:
|
||||
# plural name to be used in the URL: /apis/<group>/<version>/<plural>
|
||||
plural: network-attachment-definitions
|
||||
# singular name to be used as an alias on the CLI and for display
|
||||
singular: network-attachment-definition
|
||||
# kind is normally the CamelCased singular type. Your resource manifests use this.
|
||||
kind: NetworkAttachmentDefinition
|
||||
# shortNames allow shorter string to match your resource on the CLI
|
||||
shortNames:
|
||||
- net-attach-def
|
||||
versions:
|
||||
- name: v1
|
||||
served: true
|
||||
storage: true
|
||||
schema:
|
||||
openAPIV3Schema:
|
||||
description: 'NetworkAttachmentDefinition is a CRD schema specified by the Network Plumbing
|
||||
Working Group to express the intent for attaching pods to one or more logical or physical
|
||||
networks. More information available at: https://github.com/k8snetworkplumbingwg/multi-net-spec'
|
||||
type: object
|
||||
properties:
|
||||
spec:
|
||||
description: 'NetworkAttachmentDefinition spec defines the desired state of a network attachment'
|
||||
type: object
|
||||
properties:
|
||||
config:
|
||||
description: 'NetworkAttachmentDefinition config is a JSON-formatted CNI configuration'
|
||||
type: string
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: ServiceAccount
|
||||
@@ -40,17 +49,43 @@ type: kubernetes.io/service-account-token
|
||||
kind: ClusterRole
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
metadata:
|
||||
name: multus-pod-networks-lister
|
||||
name: multus-pod-updater
|
||||
rules:
|
||||
- apiGroups: [""]
|
||||
resources: ["pods"]
|
||||
verbs: ["get"]
|
||||
- apiGroups: [""]
|
||||
resources: ["pods/status"]
|
||||
verbs: ["update"]
|
||||
- apiGroups: ["k8s.cni.cncf.io"]
|
||||
resources: ["*"]
|
||||
verbs: ["get"]
|
||||
- apiGroups: ["k8s.cni.cncf.io"]
|
||||
resources:
|
||||
- '*'
|
||||
verbs:
|
||||
- '*'
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- pods
|
||||
- pods/status
|
||||
verbs:
|
||||
- get
|
||||
- update
|
||||
- apiGroups:
|
||||
- ""
|
||||
- events.k8s.io
|
||||
resources:
|
||||
- events
|
||||
verbs:
|
||||
- create
|
||||
- patch
|
||||
- update
|
||||
---
|
||||
kind: ClusterRoleBinding
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
metadata:
|
||||
name: multus-rb
|
||||
roleRef:
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
kind: ClusterRole
|
||||
name: multus-pod-updater
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: multus-sa
|
||||
namespace: kube-system
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
@@ -94,8 +129,9 @@ data:
|
||||
MASTER_PLUGIN_JSON="$(cat /host/etc/cni/net.d/$MASTER_PLUGIN)"
|
||||
cat > /host/etc/cni/net.d/00-multus.conf <<EOF
|
||||
{
|
||||
"cniVersion": "0.3.1",
|
||||
"name": "multus-cni-network",
|
||||
"type": "multus",
|
||||
"type": "multus-cni",
|
||||
"logFile": "/var/log/multus.log",
|
||||
"logLevel": "debug",
|
||||
"kubeconfig": "/etc/cni/net.d/multus-kubeconfig",
|
||||
@@ -105,19 +141,6 @@ data:
|
||||
}
|
||||
EOF
|
||||
---
|
||||
kind: ClusterRoleBinding
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
metadata:
|
||||
name: multus-rb
|
||||
roleRef:
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
kind: ClusterRole
|
||||
name: multus-pod-networks-lister
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: multus-sa
|
||||
namespace: kube-system
|
||||
---
|
||||
apiVersion: apps/v1
|
||||
kind: DaemonSet
|
||||
metadata:
|
||||
@@ -134,14 +157,14 @@ spec:
|
||||
spec:
|
||||
initContainers:
|
||||
- name: multus
|
||||
image: krsna1729/multus-sriov:k8s-1.13
|
||||
image: krsna1729/multus-sriov:3.4.2-2.3-3.2
|
||||
command: [ "bash", "-c" ]
|
||||
args:
|
||||
- cp /tmp/cni/bin/{multus,sriov,vfioveth,jq} /host/opt/cni/bin/;
|
||||
- cp /tmp/cni/bin/{multus-cni,sriov,vfioveth,jq} /host/opt/cni/bin/;
|
||||
/tmp/multus/install-multus-conf.sh;
|
||||
/tmp/multus/install-certs.sh;
|
||||
echo "Restarting crio kubelet";
|
||||
systemctl restart crio; # Needed when crio manages ns lifecycle
|
||||
systemctl restart crio;
|
||||
systemctl restart kubelet;
|
||||
volumeMounts:
|
||||
- name: usr-bin
|
||||
@@ -160,7 +183,7 @@ spec:
|
||||
mountPath: /run/systemd
|
||||
containers:
|
||||
- name: sriovdp
|
||||
image: krsna1729/multus-sriov:k8s-1.13
|
||||
image: krsna1729/multus-sriov:3.4.2-2.3-3.2
|
||||
command: [ "sh", "-c" ]
|
||||
args:
|
||||
- /usr/bin/sriovdp --logtostderr -v 10;
|
||||
@@ -209,4 +232,3 @@ spec:
|
||||
path: /var/lib/kubelet/device-plugins/
|
||||
hostNetwork: true
|
||||
hostPID: true
|
||||
|
||||
|
||||
@@ -11,15 +11,15 @@ data:
|
||||
[
|
||||
{
|
||||
"resourceName": "sriov_netdevice",
|
||||
"rootDevices": ["07:00.0"],
|
||||
"sriovMode": true,
|
||||
"deviceType": "netdevice"
|
||||
"selectors": {
|
||||
"drivers": ["i40evf", "iavf"]
|
||||
}
|
||||
},
|
||||
{
|
||||
"resourceName": "sriov_vfio",
|
||||
"rootDevices": ["07:00.1"],
|
||||
"sriovMode": true,
|
||||
"deviceType": "vfio"
|
||||
"selectors": {
|
||||
"drivers": ["vfio-pci"]
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -0,0 +1,100 @@
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: dpdk-1711
|
||||
annotations:
|
||||
k8s.v1.cni.cncf.io/networks: sriov-net-dpdk
|
||||
spec:
|
||||
restartPolicy: Never
|
||||
containers:
|
||||
- name: dpdk
|
||||
image: krsna1729/dpdk:17.11
|
||||
stdin: true
|
||||
tty: true
|
||||
command: [ "/bin/bash", "-c"]
|
||||
args:
|
||||
- ls -l /dev/vfio;
|
||||
testpmd --no-huge -m 2048 -- --stats-period=10 --nb-port=1 --port-topology=chained --auto-start --total-num-mbufs=2048 --forward-mode=macswap;
|
||||
securityContext:
|
||||
capabilities:
|
||||
add:
|
||||
- IPC_LOCK
|
||||
resources:
|
||||
limits:
|
||||
intel.com/sriov_vfio: '1'
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: dpdk-1811
|
||||
annotations:
|
||||
k8s.v1.cni.cncf.io/networks: sriov-net-dpdk
|
||||
spec:
|
||||
restartPolicy: Never
|
||||
containers:
|
||||
- name: dpdk
|
||||
image: krsna1729/dpdk:18.11
|
||||
stdin: true
|
||||
tty: true
|
||||
command: [ "/bin/bash", "-c"]
|
||||
args:
|
||||
- ls -l /dev/vfio;
|
||||
testpmd --no-huge -m 2048 -- --stats-period=10 --nb-port=1 --port-topology=chained --auto-start --total-num-mbufs=2048 --forward-mode=macswap;
|
||||
securityContext:
|
||||
capabilities:
|
||||
add:
|
||||
- IPC_LOCK
|
||||
resources:
|
||||
limits:
|
||||
intel.com/sriov_vfio: '1'
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: dpdk-1911
|
||||
annotations:
|
||||
k8s.v1.cni.cncf.io/networks: sriov-net-dpdk
|
||||
spec:
|
||||
restartPolicy: Never
|
||||
containers:
|
||||
- name: dpdk
|
||||
image: krsna1729/dpdk:19.11
|
||||
stdin: true
|
||||
tty: true
|
||||
command: [ "/bin/bash", "-c"]
|
||||
args:
|
||||
- ls -l /dev/vfio;
|
||||
testpmd --no-huge -m 2048 -- --stats-period=10 --nb-port=1 --port-topology=chained --auto-start --total-num-mbufs=2048 --forward-mode=macswap;
|
||||
securityContext:
|
||||
capabilities:
|
||||
add:
|
||||
- IPC_LOCK
|
||||
resources:
|
||||
limits:
|
||||
intel.com/sriov_vfio: '1'
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: Pod
|
||||
metadata:
|
||||
name: dpdk-2002
|
||||
annotations:
|
||||
k8s.v1.cni.cncf.io/networks: sriov-net-dpdk
|
||||
spec:
|
||||
restartPolicy: Never
|
||||
containers:
|
||||
- name: dpdk
|
||||
image: krsna1729/dpdk:20.02
|
||||
stdin: true
|
||||
tty: true
|
||||
command: [ "/bin/bash", "-c"]
|
||||
args:
|
||||
- ls -l /dev/vfio;
|
||||
testpmd --no-huge -m 2048 -- --stats-period=10 --nb-port=1 --port-topology=chained --auto-start --total-num-mbufs=2048 --forward-mode=macswap;
|
||||
securityContext:
|
||||
capabilities:
|
||||
add:
|
||||
- IPC_LOCK
|
||||
resources:
|
||||
limits:
|
||||
intel.com/sriov_vfio: '1'
|
||||
@@ -0,0 +1,17 @@
|
||||
FROM ubuntu:bionic as ubuntu-build
|
||||
RUN apt-get update && \
|
||||
apt-get -y install \
|
||||
build-essential \
|
||||
git \
|
||||
libnuma-dev
|
||||
|
||||
ARG DPDK_VER='master'
|
||||
ENV DPDK_DIR='/dpdk'
|
||||
ENV RTE_TARGET='x86_64-native-linuxapp-gcc'
|
||||
RUN git clone -b $DPDK_VER -q --depth 1 http://dpdk.org/git/dpdk-stable $DPDK_DIR 2>&1
|
||||
RUN cd ${DPDK_DIR} && \
|
||||
sed -ri 's,(IGB_UIO=).*,\1n,' config/common_linux* && \
|
||||
sed -ri 's,(KNI_KMOD=).*,\1n,' config/common_linux* && \
|
||||
make config T=x86_64-native-linuxapp-gcc && \
|
||||
make -j $CPUS
|
||||
ENV PATH="$PATH:$DPDK_DIR/build/app/"
|
||||
@@ -3,6 +3,11 @@
|
||||
## Prerequisite
|
||||
This setup currently will work with Kubernetes 1.14 & above. Any version of Kubernetes before that might work, but is not guaranteed.
|
||||
|
||||
## QUICK NOTE
|
||||
The version of Kubernetes* was bumped from 1.17.7 to 1.19.4 in Clear Linux* OS release 34090. The [guide](https://docs.01.org/clearlinux/latest/guides/clear/k8s-migration.html) and the Clear Linux OS bundle k8s-migration were created to help facilitate migration of a cluster from 1.17.x to the latest 1.19.x .
|
||||
|
||||
The new Clear Linux OS bundle k8s-migration was added in Clear Linux* OS release 34270. Please follow the guide for an upgrade.
|
||||
|
||||
## Sample multi-node vagrant setup
|
||||
|
||||
To be able to test this tool, you can create a 3-node vagrant setup. In this tutorial, we will talk about using [libvirt](https://github.com/vagrant-libvirt/vagrant-libvirt), but you can use any hypervisor that you are familiar with.
|
||||
@@ -38,6 +43,9 @@ This script ensures the following
|
||||
script uses the runtime specified in the `RUNNER` environment variable and defaults to `crio`. To use the
|
||||
`containerd` runtime, set the `RUNNER` environment variable to `containerd`.
|
||||
|
||||
In case of vagrant, if you want to spin up VM's using different environment variable than declared in [`setup_system.sh`],
|
||||
specify when performing vagrant up. E.g., `RUNNER=containerd vagrant up`
|
||||
|
||||
### Specify a version of Clear Linux
|
||||
|
||||
To specify a particular version of Clear Linux to use, set the CLRK8S_CLR_VER environment variable to the desired
|
||||
@@ -60,6 +68,28 @@ devicemapper storage. This should not be used for production.
|
||||
|
||||
> NOTE: This step is done automatically if using vagrant.
|
||||
|
||||
### For HA, setup the load balancer node
|
||||
|
||||
Ideally, the load balancer node will be a separate node. However, one of the
|
||||
master nodes can also serve as the load balancer for the cluster. [HAProxy](https://www.haproxy.org/)
|
||||
is used in these instructions.
|
||||
|
||||
```bash
|
||||
sudo swupd bundle-add haproxy
|
||||
sudo systemctl enable haproxy
|
||||
```
|
||||
|
||||
Edit the master IP addresses and load balancer address and ports in [`haproxy.cfg.example`](haproxy.cfg.example)
|
||||
to match the IPs for the new cluster. If using a master node for the load balancer
|
||||
make sure that the `frontend bind` port is different than the Kubernetes API port, 6443.
|
||||
If using a separate machine for load balancing, the port can be 6443 if desired.
|
||||
|
||||
```bash
|
||||
sudo mkdir -p /etc/haproxy
|
||||
sudo cp haproxy.cfg.example /etc/haproxy/haproxy.cfg
|
||||
sudo systemctl start haproxy
|
||||
```
|
||||
|
||||
## Bring up the master
|
||||
|
||||
Run [`create_stack.sh`](create_stack.sh) on the master node. This sets up the
|
||||
@@ -72,8 +102,9 @@ more information.
|
||||
|
||||
> NOTE: Before running [`create_stack.sh`](create_stack.sh) script, make sure to export
|
||||
the necessary environment variables if needed to be changed. By default it will use
|
||||
`CLRK8S_CNI` to be canal, and `CLRK8S_RUNNER` to be crio. Cilium is tested only in the
|
||||
Vagrant.
|
||||
`CLRK8S_CNI` to be canal, and `CLRK8S_RUNNER` to be crio. Cilium is tested only in the
|
||||
Vagrant. If creating an HA cluster, make sure to specify `LOAD_BALANCER_IP` and
|
||||
`LOAD_BALANCER_PORT`.
|
||||
|
||||
```bash
|
||||
# default shows help
|
||||
@@ -83,6 +114,13 @@ Vagrant.
|
||||
In order to enable running greater than 110 pods per node, set the environment
|
||||
variable `HIGH_POD_COUNT` to any non-empty value.
|
||||
|
||||
If creating an HA cluster, join the other master nodes to the cluster.
|
||||
|
||||
```bash
|
||||
kubeadm join <load-balancer-ip>:<load-balancer-port> --token <token> --discovery-token-ca-cert-hash <hash> \
|
||||
--control-plane --certificate-key <certificate-key> --cri-socket=/run/crio/crio.sock
|
||||
```
|
||||
|
||||
## Join Workers to the cluster
|
||||
|
||||
```bash
|
||||
@@ -91,6 +129,9 @@ kubeadm join <master-ip>:<master-port> --token <token> --discovery-token-ca-cert
|
||||
|
||||
Note: Remember to append `--cri-socket=/run/crio/crio.sock` to the join command generated by the master.
|
||||
|
||||
If creating an HA cluster, join the other worker nodes to the cluster. The same way,
|
||||
but replacing the `<master-ip>:<master-port>` with `<load-balancer-ip>:<load-balancer-port>`.
|
||||
|
||||
On workers just use the join command that the master spits out. There nothing
|
||||
else you need to run on the worker. All the other Kubernetes customizations are pushed
|
||||
in from master via the values setup in the `kubeadm.yaml` file.
|
||||
@@ -159,3 +200,18 @@ Grafana is available at this URL http://localhost:3000 . Default credentials are
|
||||
## Cleaning up the cluster (Hard reset to a clean state)
|
||||
|
||||
Run `reset_stack.sh` on all the nodes
|
||||
|
||||
## Additional Components
|
||||
|
||||
### Rook
|
||||
The default Rook configuration provided is intended for testing purposes only
|
||||
and is not suitable for a production environment. By default Rook is configured
|
||||
to provide local storage (/var/lib/rook) and will be provisioned differently
|
||||
depending on whether or not you startup a single node Kubernetes cluster, or
|
||||
a multiple node Kubernetes cluster.
|
||||
|
||||
- When starting up a single node Kubernetes cluster, Rook will be configured
|
||||
to start up a single replica, and will allow multiple monitors on the same node.
|
||||
- When multiple Kubernetes worker nodes are detected, Rook will be configured
|
||||
to startup a replica on each available node and will schedule monitor processes
|
||||
on separate nodes providing greater reliability.
|
||||
|
||||
Vendored
+2
-1
@@ -16,7 +16,7 @@ $box = "AntonioMeireles/ClearLinux"
|
||||
$box_ver = (ENV['CLEAR_VBOX_VER'])
|
||||
File.exists?("/usr/share/qemu/OVMF.fd") ? $loader = "/usr/share/qemu/OVMF.fd" : $loader = File.join(File.dirname(__FILE__), "OVMF.fd")
|
||||
$vm_name_prefix = "clr"
|
||||
$base_ip = IPAddr.new("192.52.100.10")
|
||||
$base_ip = IPAddr.new("10.10.100.10")
|
||||
$hosts = {}
|
||||
$proxy_ip_list = "192.168.121.0/24"
|
||||
$driveletters = ('a'..'z').to_a
|
||||
@@ -76,6 +76,7 @@ Vagrant.configure("2") do |config|
|
||||
lv.loader = $loader
|
||||
lv.cpus = $cpus
|
||||
lv.memory = $memory
|
||||
lv.machine_virtual_size = 40
|
||||
(1..$disks).each do |d|
|
||||
lv.storage :file, :device => "hd#{$driveletters[d]}", :path => "disk-#{$disk_prefix}-#{vm_name}-#{d}.disk", :size => $disk_size, :type => "raw"
|
||||
end
|
||||
|
||||
@@ -44,18 +44,21 @@ sudo systemctl enable --now containerd-devmapper
|
||||
# no. of feature arguments
|
||||
# Skip zeroing blocks for new volumes.
|
||||
sudo dmsetup create contd-thin-pool \
|
||||
--table "0 2097152 thin-pool /dev/loop21 /dev/loop20 512 32768 1 skip_block_zeroing"
|
||||
--table "0 20971520 thin-pool /dev/loop21 /dev/loop20 512 32768 1 skip_block_zeroing"
|
||||
|
||||
sudo mkdir -p /etc/containerd/
|
||||
if [ -f /etc/containerd/config.toml ]
|
||||
then
|
||||
sudo sed -i 's|^\(\[plugins\]\).*|\1\n \[plugins.devmapper\]\n pool_name = \"contd-thin-pool\"\n base_image_size = \"512MB\"|' /etc/containerd/config.toml
|
||||
sudo sed -i 's|^\(\[plugins\]\).*|\1\n \[plugins.devmapper\]\n pool_name = \"contd-thin-pool\"\n base_image_size = \"4096MB\"|' /etc/containerd/config.toml
|
||||
else
|
||||
cat<<EOT | sudo tee /etc/containerd/config.toml
|
||||
[plugins]
|
||||
[plugins.devmapper]
|
||||
pool_name = "contd-thin-pool"
|
||||
base_image_size = "512MB"
|
||||
base_image_size = "4096MB"
|
||||
[plugins.cri]
|
||||
[plugins.cri.containerd]
|
||||
snapshotter = "devmapper"
|
||||
EOT
|
||||
fi
|
||||
|
||||
|
||||
@@ -14,24 +14,29 @@ SCRIPT_DIR="$(dirname "${BASH_SOURCE[0]}")"
|
||||
: ${MASTER_IP:=}
|
||||
: ${CERT_SANS:=}
|
||||
HIGH_POD_COUNT=${HIGH_POD_COUNT:-""}
|
||||
LOAD_BALANCER_IP=${LOAD_BALANCER_IP:-""}
|
||||
LOAD_BALANCER_PORT="${LOAD_BALANCER_PORT:-6444}"
|
||||
|
||||
# versions
|
||||
CANAL_VER="${CLRK8S_CANAL_VER:-v3.10}"
|
||||
CILIUM_VER="${CLRK8S_CILIUM_VER:-v1.6}"
|
||||
FLANNEL_VER="${CLRK8S_FLANNEL_VER:-16b0fe66285d1ad1f42b154ab852682f6fafb1a7}"
|
||||
CANAL_VER="${CLRK8S_CANAL_VER:-v3.22}"
|
||||
CILIUM_VER="${CLRK8S_CILIUM_VER:-v1.9.13}"
|
||||
FLANNEL_VER="${CLRK8S_FLANNEL_VER:-v0.16.3}"
|
||||
CILIUM_VAL_OVERRIDE=""
|
||||
K8S_VER="${CLRK8S_K8S_VER:-}"
|
||||
KATA_VER="${CLRK8S_KATA_VER:-1.8.2-kernel-config}"
|
||||
ROOK_VER="${CLRK8S_ROOK_VER:-v1.1.1}"
|
||||
METRICS_VER="${CLRK8S_METRICS_VER:-v0.3.5}"
|
||||
KATA_VER="${CLRK8S_KATA_VER:-1.9.1-kernel-config}"
|
||||
ROOK_VER="${CLRK8S_ROOK_VER:-v1.2.6}"
|
||||
METRICS_VER="${CLRK8S_METRICS_VER:-v0.3.6}"
|
||||
DASHBOARD_VER="${CLRK8S_DASHBOARD_VER:-v2.0.0-beta2}"
|
||||
INGRES_VER="${CLRK8S_INGRES_VER:-nginx-0.25.1}"
|
||||
INGRES_VER="${CLRK8S_INGRES_VER:-nginx-0.26.1}"
|
||||
EFK_VER="${CLRK8S_EFK_VER:-v1.15.1}"
|
||||
METALLB_VER="${CLRK8S_METALLB_VER:-v0.8.1}"
|
||||
METALLB_VER="${CLRK8S_METALLB_VER:-v0.8.3}"
|
||||
NPD_VER="${CLRK8S_NPD_VER:-v0.6.6}"
|
||||
PROMETHEUS_VER="${CLRK8S_PROMETHEUS_VER:-f458e85e5d7675f7bc253072e1b4c8892b51af0f}"
|
||||
CNI=${CLRK8S_CNI:-"canal"}
|
||||
RUNNER=${CLRK8S_RUNNER:-"crio"}
|
||||
if [[ -z "${RUNNER+x}" ]]; then RUNNER="${CLRK8S_RUNNER:-"crio"}"; fi
|
||||
|
||||
NFD_VER="${CLRK8S_NFD_VER:-v0.4.0}"
|
||||
mode="multinode"
|
||||
|
||||
function print_usage_exit() {
|
||||
exit_code=${1:-0}
|
||||
@@ -88,7 +93,13 @@ function cluster_init() {
|
||||
echo "/var/lib/etcd exists! skipping init."
|
||||
return
|
||||
fi
|
||||
sudo -E kubeadm init --config=./kubeadm.yaml
|
||||
|
||||
if [[ -n "${LOAD_BALANCER_IP}" ]]; then
|
||||
sed -i "s/ClusterConfiguration/ClusterConfiguration\ncontrolPlaneEndpoint: ${LOAD_BALANCER_IP}:${LOAD_BALANCER_PORT}/g" ./kubeadm.yaml
|
||||
fi
|
||||
# upload-certs will automatically upload certificates that should be shared
|
||||
# across control-plane nodes in HA clusters. It is harmless in non-HA cases.
|
||||
sudo -E kubeadm init --upload-certs --config=./kubeadm.yaml
|
||||
|
||||
rm -rf "${HOME}/.kube"
|
||||
mkdir -p "${HOME}/.kube"
|
||||
@@ -107,6 +118,7 @@ function cluster_init() {
|
||||
#Ensure single node k8s works
|
||||
if [ "$(kubectl get nodes | wc -l)" -eq 2 ]; then
|
||||
kubectl taint nodes --all node-role.kubernetes.io/master-
|
||||
mode="standalone"
|
||||
fi
|
||||
}
|
||||
|
||||
@@ -133,7 +145,7 @@ function cni() {
|
||||
|
||||
# canal manifests are not kept in repo but in docs site so use curl
|
||||
mkdir -p "${CANAL_DIR}/overlays/${CANAL_VER}/canal"
|
||||
curl -o "${CANAL_DIR}/overlays/${CANAL_VER}/canal/canal.yaml" "$CANAL_URL/canal.yaml"
|
||||
curl -L -o "${CANAL_DIR}/overlays/${CANAL_VER}/canal/canal.yaml" "$CANAL_URL/canal.yaml"
|
||||
if [[ "$CANAL_VER" == "v3.3" ]]; then
|
||||
curl -o "${CANAL_DIR}/overlays/${CANAL_VER}/canal/rbac.yaml" "$CANAL_URL/rbac.yaml"
|
||||
fi
|
||||
@@ -142,21 +154,25 @@ function cni() {
|
||||
;;
|
||||
flannel)
|
||||
FLANNEL_VER=${1:-$FLANNEL_VER}
|
||||
FLANNEL_URL="https://github.com/coreos/flannel"
|
||||
FLANNEL_URL="https://github.com/flannel-io/flannel"
|
||||
FLANNEL_DIR="0-flannel"
|
||||
|
||||
|
||||
get_repo "${FLANNEL_URL}" "${FLANNEL_DIR}/overlays/${FLANNEL_VER}"
|
||||
set_repo_version "${FLANNEL_VER}" "${FLANNEL_DIR}/overlays/${FLANNEL_VER}/flannel"
|
||||
kubectl apply -k "${FLANNEL_DIR}/overlays/${FLANNEL_VER}"
|
||||
set_repo_version "${FLANNEL_VER}" "${FLANNEL_DIR}/overlays/${FLANNEL_VER}/flannel"
|
||||
kubectl apply -k "${FLANNEL_DIR}/overlays/${FLANNEL_VER}"
|
||||
;;
|
||||
cilium)
|
||||
local podsubnet=$(grep -Po 'podSubnet:\ \K[^*]*' ${SCRIPT_DIR}/kubeadm.yaml)
|
||||
CILIUM_VER=${1:-$CILIUM_VER}
|
||||
CILIUM_URL="https://github.com/cilium/cilium.git"
|
||||
CILIUM_DIR="0-cilium"
|
||||
|
||||
get_repo "${CILIUM_URL}" "${CILIUM_DIR}/overlays/${CILIUM_VER}"
|
||||
set_repo_version "${CILIUM_VER}" "${CILIUM_DIR}/overlays/${CILIUM_VER}/cilium/"
|
||||
helm template "${CILIUM_DIR}/overlays/${CILIUM_VER}/cilium/install/kubernetes/cilium" --namespace kube-system --set global.containerRuntime.integration="$RUNNER" | kubectl apply -f -
|
||||
if [ -f "${CILIUM_DIR}/overlays/${CILIUM_VER}/values.yaml" ]; then
|
||||
CILIUM_VAL_OVERRIDE="--values ${CILIUM_DIR}/overlays/${CILIUM_VER}/values.yaml"
|
||||
fi
|
||||
helm template "${CILIUM_DIR}/overlays/${CILIUM_VER}/cilium/install/kubernetes/cilium" --namespace kube-system --set containerRuntime.integration="$RUNNER" --set hubble.enabled=false --set ipam.operator.clusterPoolIPv4PodCIDR="${podsubnet}" | kubectl apply -f -
|
||||
;;
|
||||
*)
|
||||
echo"Unknown cni $CNI"
|
||||
@@ -167,7 +183,7 @@ function cni() {
|
||||
|
||||
function metrics() {
|
||||
METRICS_VER="${1:-$METRICS_VER}"
|
||||
METRICS_URL="https://github.com/kubernetes-incubator/metrics-server.git"
|
||||
METRICS_URL="https://github.com/kubernetes-sigs/metrics-server.git"
|
||||
METRICS_DIR="1-core-metrics"
|
||||
get_repo "${METRICS_URL}" "${METRICS_DIR}/overlays/${METRICS_VER}"
|
||||
set_repo_version "${METRICS_VER}" "${METRICS_DIR}/overlays/${METRICS_VER}/metrics-server"
|
||||
@@ -207,9 +223,9 @@ function storage() {
|
||||
ROOK_DIR=7-rook
|
||||
|
||||
# get and apply rook
|
||||
get_repo "${ROOK_URL}" "${ROOK_DIR}/overlays/${ROOK_VER}"
|
||||
set_repo_version "${ROOK_VER}" "${ROOK_DIR}/overlays/${ROOK_VER}/rook"
|
||||
kubectl apply -k "${ROOK_DIR}/overlays/${ROOK_VER}"
|
||||
get_repo "${ROOK_URL}" "${ROOK_DIR}/overlays/${ROOK_VER}/${mode}"
|
||||
set_repo_version "${ROOK_VER}" "${ROOK_DIR}/overlays/${ROOK_VER}/${mode}/rook"
|
||||
kubectl apply -k "${ROOK_DIR}/overlays/${ROOK_VER}/${mode}"
|
||||
# wait for the rook OSDs to run which means rooks should be ready
|
||||
while [[ $(kubectl get po --all-namespaces | grep -e 'osd.*Running.*' -c) -lt 1 ]]; do
|
||||
echo "Waiting for Rook OSD"
|
||||
|
||||
@@ -0,0 +1,34 @@
|
||||
global
|
||||
log /dev/log local0
|
||||
chroot /var/lib/haproxy
|
||||
stats socket /run/haproxy-master.sock mode 660 level admin
|
||||
stats timeout 30s
|
||||
user haproxy
|
||||
group haproxy
|
||||
daemon
|
||||
# Default SSL material locations
|
||||
ca-base /etc/ssl/certs
|
||||
ssl-default-bind-ciphers ECDH+AESGCM:DH+AESGCM:ECDH+AES256:DH+AES256:ECDH+AES128:DH+AES:RSA+AESGCM:RSA+AES:!aNULL:!MD5:!DSS
|
||||
ssl-default-bind-options no-sslv3
|
||||
defaults
|
||||
log global
|
||||
mode http
|
||||
option httplog
|
||||
option dontlognull
|
||||
timeout connect 5000
|
||||
timeout client 50000
|
||||
timeout server 50000
|
||||
timeout tunnel 4h
|
||||
frontend kubernetes
|
||||
bind 10.0.0.100:6444
|
||||
option tcplog
|
||||
mode tcp
|
||||
default_backend kubernetes-master-nodes
|
||||
|
||||
backend kubernetes-master-nodes
|
||||
mode tcp
|
||||
balance source
|
||||
option tcp-check
|
||||
server master-1 10.0.0.100:6443 check fall 3 rise 2
|
||||
server master-2 10.0.0.101:6443 check fall 3 rise 2
|
||||
server master-3 10.0.0.102:6443 check fall 3 rise 2
|
||||
@@ -1,4 +1,4 @@
|
||||
apiVersion: kubeadm.k8s.io/v1beta1
|
||||
apiVersion: kubeadm.k8s.io/v1beta2
|
||||
kind: InitConfiguration
|
||||
---
|
||||
apiVersion: kubelet.config.k8s.io/v1beta1
|
||||
@@ -13,9 +13,10 @@ kubeReserved:
|
||||
cpu: 500m
|
||||
memory: 256M
|
||||
---
|
||||
apiVersion: kubeadm.k8s.io/v1beta1
|
||||
apiVersion: kubeadm.k8s.io/v1beta2
|
||||
kind: ClusterConfiguration
|
||||
networking:
|
||||
dnsDomain: cluster.local
|
||||
podSubnet: 10.244.0.0/16
|
||||
serviceSubnet: 10.96.0.0/12
|
||||
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
#!/usr/bin/env bash
|
||||
|
||||
set -o errexit
|
||||
set -o nounset
|
||||
|
||||
@@ -9,15 +8,15 @@ CLR_VER=${CLRK8S_CLR_VER:-""}
|
||||
HIGH_POD_COUNT=${HIGH_POD_COUNT:-""}
|
||||
|
||||
# set no proxy
|
||||
ADD_NO_PROXY=".svc,10.244.0.0/16,10.96.0.0/12"
|
||||
ADD_NO_PROXY+=",$(hostname -I | sed 's/[[:space:]]/,/g')"
|
||||
: "${RUNNER:=crio}"
|
||||
NO_PROXY_ARRAY=(.svc 10.0.0.0/8 )
|
||||
NO_PROXY_ARRAY+=( $(hostname -I | awk -F. '{print $1"."$2"."$3".0/24"}'))
|
||||
|
||||
if [[ -z "${RUNNER+x}" ]]; then RUNNER="${CLRK8S_RUNNER:-crio}"; fi
|
||||
|
||||
# update os version
|
||||
function upate_os_version() {
|
||||
if [[ -n "${CLR_VER}" ]];
|
||||
then
|
||||
sudo swupd repair -m "${CLR_VER}" --picky
|
||||
if [[ -n "${CLR_VER}" ]]; then
|
||||
sudo swupd repair -m "${CLR_VER}" --picky --force
|
||||
return
|
||||
fi
|
||||
sudo swupd update
|
||||
@@ -30,13 +29,10 @@ function add_os_deps() {
|
||||
|
||||
# permanently disable swap
|
||||
function disable_swap() {
|
||||
swapcount=$(sudo grep '^/dev/\([0-9a-z]*\).*' /proc/swaps | wc -l)
|
||||
|
||||
if [ "$swapcount" != "0" ]; then
|
||||
sudo systemctl mask "$(sed -n -e 's#^/dev/\([0-9a-z]*\).*#dev-\1.swap#p' /proc/swaps)" 2>/dev/null
|
||||
else
|
||||
echo "Swap not enabled"
|
||||
fi
|
||||
# disable current swap
|
||||
sudo swapoff -a
|
||||
# permanently disable swap
|
||||
sudo systemctl mask swap.target
|
||||
}
|
||||
|
||||
# enable ip forwarding
|
||||
@@ -138,16 +134,21 @@ function enable_kubelet_runner() {
|
||||
|
||||
# ensure that the system is ready without requiring a reboot
|
||||
function ensure_system_ready() {
|
||||
sudo swapoff -a
|
||||
sudo systemctl restart systemd-modules-load.service
|
||||
}
|
||||
|
||||
# add proxy if found
|
||||
function setup_proxy() {
|
||||
set +o nounset
|
||||
set +o errexit
|
||||
if [[ ${http_proxy} ]] || [[ ${HTTP_PROXY} ]]; then
|
||||
echo "Setting up proxy stuff...."
|
||||
# Setup IP for users too
|
||||
for ip in "${NO_PROXY_ARRAY[@]}"
|
||||
do
|
||||
result=`grep no_proxy /etc/profile.d/proxy.sh | grep $ip`
|
||||
[ -z "$result" ] && ADD_NO_PROXY+="$ip,"
|
||||
done
|
||||
sed_val=${ADD_NO_PROXY//\//\\/}
|
||||
[ -f /etc/environment ] && sudo sed -i "/no_proxy/I s/$/,${sed_val}/g" /etc/environment
|
||||
if [ -f /etc/profile.d/proxy.sh ]; then
|
||||
@@ -156,19 +157,19 @@ function setup_proxy() {
|
||||
echo "Warning, failed to find /etc/profile.d/proxy.sh to edit no_proxy line"
|
||||
fi
|
||||
|
||||
services=("${RUNNER}" 'kubelet')
|
||||
for s in "${services[@]}"; do
|
||||
sudo mkdir -p "/etc/systemd/system/${s}.service.d/"
|
||||
cat <<EOF | sudo bash -c "cat > /etc/systemd/system/${s}.service.d/proxy.conf"
|
||||
[Service]
|
||||
Environment="HTTP_PROXY=${http_proxy}"
|
||||
Environment="HTTPS_PROXY=${https_proxy}"
|
||||
Environment="SOCKS_PROXY=${socks_proxy}"
|
||||
Environment="NO_PROXY=${no_proxy},${ADD_NO_PROXY}"
|
||||
sudo mkdir -p /etc/systemd/system.conf.d
|
||||
cat <<EOF | sudo bash -c "cat > /etc/systemd/system.conf.d/proxy.conf"
|
||||
[Manager]
|
||||
DefaultEnvironment="HTTP_PROXY=${http_proxy}"
|
||||
DefaultEnvironment="HTTPS_PROXY=${https_proxy}"
|
||||
DefaultEnvironment="SOCKS_PROXY=${socks_proxy}"
|
||||
DefaultEnvironment="NO_PROXY=${no_proxy},${ADD_NO_PROXY}"
|
||||
EOF
|
||||
done
|
||||
fi
|
||||
set -o nounset
|
||||
|
||||
sudo systemctl daemon-reexec
|
||||
fi
|
||||
set -o nounset
|
||||
set -o errexit
|
||||
}
|
||||
|
||||
# init for performing any pre tasks
|
||||
@@ -187,12 +188,12 @@ fi
|
||||
|
||||
echo "Init..."
|
||||
init
|
||||
echo "Disabling swap..."
|
||||
disable_swap
|
||||
echo "Setting OS Version..."
|
||||
upate_os_version
|
||||
echo "Adding OS Dependencies..."
|
||||
add_os_deps
|
||||
echo "Disabling swap..."
|
||||
disable_swap
|
||||
echo "Enabling IP Forwarding..."
|
||||
enable_ip_forwarding
|
||||
echo "Setting up modules to load..."
|
||||
@@ -205,7 +206,7 @@ if [[ -n "${HIGH_POD_COUNT}" ]]; then
|
||||
fi
|
||||
echo "Reloading daemons..."
|
||||
daemon_reload
|
||||
echo "Enabling Kublet runner..."
|
||||
echo "Enabling kubelet runner..."
|
||||
enable_kubelet_runner
|
||||
echo "Ensuring system is ready..."
|
||||
ensure_system_ready
|
||||
|
||||
+47
-96
@@ -1,132 +1,83 @@
|
||||
* [Metric testing for scaling on Kubernetes.](#metric-testing-for-scaling-on-kubernetes)
|
||||
* [Results storage and analysis](#results-storage-and-analysis)
|
||||
* [Developers](#developers)
|
||||
* [Metrics gathering](#metrics-gathering)
|
||||
* [`collectd` statistics](#collectd-statistics)
|
||||
* [privileged statistics pods](#privileged-statistics-pods)
|
||||
* [Configuring constant 'loads'](#configuring-constant-loads)
|
||||
|
||||
# Metric testing for scaling on Kubernetes.
|
||||
|
||||
This folder contains tools to aid in measuring the scaling capabilities of
|
||||
Kubernetes clusters.
|
||||
|
||||
Primarily these tools were designed to measure scaling of large number of pods on a single node, but
|
||||
the code is structured to handle multiple nodes, and may also be useful in that scenario.
|
||||
|
||||
The tools tend to take one of two forms:
|
||||
|
||||
- Tools to take measurements
|
||||
- Tools to launch jobs and take measurements
|
||||
- Tools to analyse results
|
||||
|
||||
For more details, see individual sub-folders. A brief summary of available tools
|
||||
is below:
|
||||
|
||||
| Tool | Description |
|
||||
| Folder | Description |
|
||||
| ---- | ----------- |
|
||||
| collectd | `collectd` based statistics/metrics gathering daemonset code |
|
||||
| lib | General library helper functions for forming and launching workloads, and storing results in a uniform manner to aid later analysis |
|
||||
| scaling | Tests to measure scaling, such as linear or parallel launching of pods |
|
||||
| report | Rmarkdown based report generator, used to produce a PDF comparison report of 1 or more sets of results |
|
||||
|
||||
| lib/[cpu-load*](lib/cpu-load.md) | Helper functions to enable CPU load generation on a cluster whilst under test |
|
||||
| [report](report/README.md) | Rmarkdown based report generator, used to produce a PDF comparison report of one or more sets of results |
|
||||
| [scaling](scaling/README.md) | Tests to measure scaling, such as linear or parallel launching of pods |
|
||||
|
||||
## Results storage and analysis
|
||||
|
||||
The tools generate JSON formatted results files via the `lib/json.bash` functions. The `metrics_json_save()`
|
||||
function in that file has the ability to also `curl` or `socat` the JSON results to a database defined
|
||||
The tools generate JSON formatted results files via the [`lib/json.bash`](lib/json.bash) functions. The `metrics_json_save()`
|
||||
function has the ability to also `curl` or `socat` the JSON results to a database defined
|
||||
by environment variables (see the file source for details). This method has been used to store results in
|
||||
Elasticsearch and InfluxDB databases for instance, but should be adaptable to use with any REST API that accepts
|
||||
JSON input.
|
||||
|
||||
## Scaling execution
|
||||
This section describes a complete step-by-step scaling execution up to results reporting by using `scaling/k8s_scale.sh` tool which launches a series of workloads and take memory metric measurements after each launch.
|
||||
## Prerequisites
|
||||
|
||||
There are some basic pre-requisites required in order to run the test and process the results:
|
||||
|
||||
**Requirements**
|
||||
* A Kubernetes cluster up and running (tested on v1.15.3).
|
||||
* `bc` and `jq` packages.
|
||||
* Docker (only for report generation).
|
||||
|
||||
The steps to execute a run of the scaling framework are listed below, which need to be executed on the master node of a Kubernetes cluster to avoid network issues:
|
||||
1. Clone `cloud-native-setup` repository into a preferred directory and change directory up to `cloud-native-setup/metrics`:
|
||||
```sh
|
||||
$ git clone https://github.com/clearlinux/cloud-native-setup.git
|
||||
$ cd cloud-native-setup/metrics
|
||||
```
|
||||
2. Launch the execution by:
|
||||
```sh
|
||||
$ ./scaling/k8s_scale.sh
|
||||
INFO: Initialising
|
||||
command: bc: yes
|
||||
command: jq: yes
|
||||
INFO: Checking Kubernetes accessible
|
||||
INFO: 1 Kubernetes nodes in 'Ready' state found
|
||||
starting kubectl proxy
|
||||
Starting to serve on 127.0.0.1:8090
|
||||
daemonset.apps/stats created
|
||||
Waiting for daemon set "stats" rollout to finish: 0 of 1 updated pods are available...
|
||||
daemon set "stats" successfully rolled out
|
||||
INFO: Running test
|
||||
INFO: And grab some stats
|
||||
INFO: idle [98.49] free [29031100] launch [0] node [clr-30f01b5149ba4ab8b05a7ee03b6812a5] inodes_free [31103039]
|
||||
INFO: Testing replicas 1 of 20
|
||||
INFO: Content of runtime_command=:/@RUNTIMECLASS@/d
|
||||
...
|
||||
```
|
||||
The above execution might take about 4min because it launch up to 20 pods by default and takes measurements for CPU utilization, memory utilization and pod boot time, finally it will generate a `k8s-scaling.json` result file at `result` directory.
|
||||
# Developers
|
||||
|
||||
**Note**: to test the launch of pods concurrently, `k8s_parallel.sh` may be used. For quicker testing, `k8s_scale_rapid.sh` can be used in place of `k8s_scale.sh`. The rest of the launch instructions remain consistent other than script name.
|
||||
Below are some architecture and internal details of how the code is structured and configured. This will be
|
||||
helpful for improving, modifying or submitting fixes to the code base.
|
||||
|
||||
**Note**: by default the scaling framework makes call to the Kubernetes API directly so, if facing connectivity issues verify that `kubelet` service's proxies and `no_proxy` environment variable are properly setup.
|
||||
## Metrics gathering
|
||||
|
||||
**Note**: by default the scaling framework uses default values for all its required variables, which can be checked through `scaling/k8s_scale.sh -h` and updated when launching the execution, i.e.:
|
||||
```
|
||||
$ ./scaling/k8s_scale.sh -h
|
||||
Usage: ./scaling/k8s_scale.sh [-h] [options]
|
||||
Description:
|
||||
Launch a series of workloads and take memory metric measurements after
|
||||
each launch.
|
||||
Options:
|
||||
-h, Help page.
|
||||
Metrics can be gathered using either a daemonset deployment of privileged pods used to gather statistics
|
||||
directly from the nodes using a combination of `mpstat`, `free` and `df`, or a daemonset deployment based
|
||||
around `collectd`. The general recommendation is to use the `collectd` based collection if possible, as it
|
||||
is more efficient, as the system does not have to poll and wait for results, and thus executes the test
|
||||
cycle faster. The `collectd` results are collected asyncronously, and the report generator code later
|
||||
aligns the results with the pod execution in the timeline.
|
||||
|
||||
Environment variables:
|
||||
Name (default)
|
||||
Description
|
||||
TEST_NAME (k8s scaling)
|
||||
Can be set to over-ride the default JSON results filename
|
||||
NUM_PODS (20)
|
||||
Number of pods to launch
|
||||
STEP (1)
|
||||
Number of pods to launch per cycle
|
||||
wait_time (30)
|
||||
Seconds to wait for pods to become ready
|
||||
delete_wait_time (600)
|
||||
Seconds to wait for all pods to be deleted
|
||||
settle_time (5)
|
||||
Seconds to wait after pods ready before taking measurements
|
||||
use_api (yes)
|
||||
specify yes or no to use the API to launch pods
|
||||
grace (30)
|
||||
specify the grace period in seconds for workload pod termination
|
||||
### `collectd` statistics
|
||||
|
||||
$ use_api=no ./scaling/k8s_scale.sh
|
||||
```
|
||||
The `collected` based code can be found in the `collectd` subdirectory. It uses the `collected` configuration
|
||||
found in the `collectd.conf` file to gather statistics, and store the results on the nodes themselves whilst
|
||||
tests are running. At the end of the test, the results are copied from the nodes and stored in the results
|
||||
directory for later processing.
|
||||
|
||||
The steps to generate the result report are listed below:
|
||||
The `collectd` statistics are only configured and gathered if the environment variable `SMF_USE_COLLECTD`
|
||||
is set to non-empty by the test code (that is, it is only enabled upon request).
|
||||
|
||||
1. Having the `results/k8s-scaling.json` result file, create a subdirectory in the `results` directory with a preferred name and copy the `k8s-scaling.json` file into it, so the file distribution looks like:
|
||||
```sh
|
||||
$ tree result
|
||||
results/
|
||||
└── scaling
|
||||
└── k8s-scaling.json
|
||||
```
|
||||
### privileged statistics pods
|
||||
|
||||
**Note**: if `k8s_scale_rapid.sh` was run instead of `k8s_scale.sh`, that the `<node_name>.tar.gz` files that appear in the results directory also need to be copied into the newly created subdirectory. And the results file is named `k8s-rapid.json` rather than `k8s-scaling.json`.
|
||||
If k8s_parallel.sh was run, the results file is named `k8s-parallel.json` rather than `k8s-scaling.json`.
|
||||
The privileged statistics pods `YAML` can be found in the [`scaling/stats.yaml`](scaling/stats.yaml) file.
|
||||
An example of how to invoke and use this daemonset to extract statistics can be found in the
|
||||
[`scaling/k8s_scale.sh`](scaling/k8s_scale.sh) file.
|
||||
|
||||
2. Launch the report generation by:
|
||||
```sh
|
||||
./report/makereport.sh
|
||||
```
|
||||
**Note**: the first time you launch the report generation it will build a docker container to generate the reports and this process can take several minutes. Subsequent runs will be much faster.
|
||||
## Configuring constant 'loads'
|
||||
|
||||
The above execution will generate a `report/output` directory with the final reports, such as:
|
||||
```sh
|
||||
$ tree report/output/
|
||||
report/output/
|
||||
├── dut-1.png
|
||||
├── metrics_report.pdf
|
||||
├── scaling-1.png
|
||||
├── scaling-2.png
|
||||
├── scaling-3.png
|
||||
└── scaling-4.png
|
||||
```
|
||||
More details about result reporting can be reviewed at [`report`](./report) directory.
|
||||
The framework includes some tooling to assist in setting up constant pre-defined 'loads' across the cluster
|
||||
to aid evaluation of their impacts on the scaling metrics. See the [cpu-load documentation](lib/cpu-load.md)
|
||||
for more information.
|
||||
|
||||
@@ -12,31 +12,37 @@ collectd_pod="collectd"
|
||||
init_stats() {
|
||||
local wait_time=$1
|
||||
|
||||
# create collectd-config configmap
|
||||
# create collectd-config configmap, delete old if there is one
|
||||
kubectl get configmap collectd-config >/dev/null 2>&1 && kubectl delete configmap collectd-config
|
||||
kubectl create configmap collectd-config --from-file=${COLLECTD_DIR}/collectd.conf
|
||||
|
||||
# if there is collectd daemonset already running, delete it
|
||||
# to make sure that the latest configmap will be used.
|
||||
kubectl get daemonset collectd >/dev/null 2>&1 && kubectl delete daemonset --wait=true --timeout=${delete_wait_time}s "${collectd_pod}"
|
||||
|
||||
# Launch our stats gathering pod
|
||||
kubectl apply -f ${COLLECTD_DIR}/${collectd_pod}.yaml
|
||||
kubectl rollout status --timeout=${wait_time}s daemonset/${collectd_pod}
|
||||
|
||||
# clear existing collectd output
|
||||
while read -u 3 name node; do
|
||||
kubectl exec -ti $name -- sh -c "rm -rf /mnt/opt/collectd/run/localhost/*"
|
||||
done 3< <(kubectl get pods --selector name=collectd-pods -o json | jq -r '.items[] | "\(.metadata.name) \(.spec.nodeName)"')
|
||||
|
||||
# attempting to provide buffer for collectd to be installed and running,
|
||||
# and CPU collection to build adequate history
|
||||
# and CPU collection to build adequate history
|
||||
sleep 12
|
||||
}
|
||||
|
||||
cleanup_stats() {
|
||||
local delete_wait_time=$1
|
||||
|
||||
# attempting to provide buffer for collectd CPU collection to record adequate history
|
||||
sleep 6
|
||||
|
||||
# get logs before shutting down stats daemonset
|
||||
while read -u 3 name node; do
|
||||
kubectl exec -ti $name -- sh -c "cd /opt/collectd; tar -czvf localhost.tar.gz localhost"
|
||||
# make a backup on the host in-case collection fail
|
||||
kubectl exec -ti $name -- sh -c "mkdir -p /mnt/opt/collectd"
|
||||
kubectl exec -ti $name -- sh -c "cp /opt/collectd/localhost.tar.gz /mnt/opt/collectd/localhost.tar.gz"
|
||||
kubectl cp $name:/opt/collectd/localhost.tar.gz ${RESULT_DIR}/${node}.tar.gz
|
||||
kubectl exec -ti $name -- sh -c "cd /mnt/opt/collectd/run; rm -f ../localhost.tar.gz; tar -czvf ../localhost.tar.gz localhost"
|
||||
kubectl cp $name:/mnt/opt/collectd/localhost.tar.gz ${RESULT_DIR}/${node}.tar.gz
|
||||
kubectl exec -ti $name -- sh -c "rm -rf /mnt/opt/collectd/run"
|
||||
done 3< <(kubectl get pods --selector name=collectd-pods -o json | jq -r '.items[] | "\(.metadata.name) \(.spec.nodeName)"')
|
||||
|
||||
kubectl delete daemonset --wait=true --timeout=${delete_wait_time}s "${collectd_pod}" || true
|
||||
|
||||
@@ -9,13 +9,15 @@ LoadPlugin memory
|
||||
LoadPlugin cpufreq
|
||||
LoadPlugin df
|
||||
|
||||
Hostname localhost
|
||||
|
||||
<Plugin "cpu">
|
||||
ReportByCpu true
|
||||
ReportByState true
|
||||
ValuesPercentage true
|
||||
</Plugin>
|
||||
<Plugin "csv">
|
||||
DataDir "/opt/collectd"
|
||||
DataDir "/mnt/opt/collectd/run"
|
||||
StoreRates true
|
||||
</Plugin>
|
||||
<Plugin "interface">
|
||||
@@ -23,6 +25,7 @@ LoadPlugin df
|
||||
Interface "/^ens/"
|
||||
Interface "/^enp/"
|
||||
Interface "/^em/"
|
||||
Interface "/^eth/"
|
||||
IgnoreSelected false
|
||||
</Plugin>
|
||||
<Plugin "aggregation">
|
||||
|
||||
@@ -10,6 +10,7 @@ RESULT_DIR="${LIB_DIR}/../results"
|
||||
|
||||
source ${LIB_DIR}/json.bash
|
||||
source ${LIB_DIR}/k8s-api.bash
|
||||
source ${LIB_DIR}/cpu-load.bash
|
||||
source /etc/os-release || source /usr/lib/os-release
|
||||
|
||||
die() {
|
||||
@@ -67,6 +68,48 @@ init_env()
|
||||
# been deliberately injected into the cluster under test.
|
||||
}
|
||||
|
||||
framework_init() {
|
||||
info "Initialising"
|
||||
|
||||
check_cmds "${cmds[@]}"
|
||||
|
||||
info "Checking k8s accessible"
|
||||
local worked=$( kubectl get nodes > /dev/null 2>&1 && echo $? || echo $? )
|
||||
if [ "$worked" != 0 ]; then
|
||||
die "kubectl failed to get nodes"
|
||||
fi
|
||||
|
||||
info $(get_num_nodes) "k8s nodes in 'Ready' state found"
|
||||
|
||||
k8s_api_init
|
||||
|
||||
# Launch our stats gathering pod
|
||||
if [ -n "$SMF_USE_COLLECTD" ]; then
|
||||
info "Setting up collectd"
|
||||
init_stats $wait_time
|
||||
fi
|
||||
|
||||
# And now we can set up our results storage then...
|
||||
metrics_json_init "k8s"
|
||||
save_config
|
||||
|
||||
# Initialise the cpu load generators now - after json init, as they may
|
||||
# produce some json results (config) data.
|
||||
cpu_load_init
|
||||
|
||||
}
|
||||
|
||||
framework_shutdown() {
|
||||
metrics_json_save
|
||||
k8s_api_shutdown
|
||||
cpu_load_shutdown
|
||||
|
||||
if [ -n "$SMF_USE_COLLECTD" ]; then
|
||||
cleanup_stats
|
||||
fi
|
||||
|
||||
}
|
||||
|
||||
# finds elements in $1 that are not in $2
|
||||
find_unique_pods() {
|
||||
local list_a=$1
|
||||
@@ -86,3 +129,22 @@ find_unique_pods() {
|
||||
fi
|
||||
done
|
||||
}
|
||||
|
||||
# waits for process to complete within a given time range
|
||||
waitForProcess(){
|
||||
wait_time="$1"
|
||||
sleep_time="$2"
|
||||
cmd="$3"
|
||||
proc_info_msg="$4"
|
||||
|
||||
while [ "$wait_time" -gt 0 ]; do
|
||||
if eval "$cmd"; then
|
||||
return 0
|
||||
else
|
||||
info "$proc_info_msg"
|
||||
sleep "$sleep_time"
|
||||
wait_time=$((wait_time-sleep_time))
|
||||
fi
|
||||
done
|
||||
return 1
|
||||
}
|
||||
|
||||
@@ -0,0 +1,104 @@
|
||||
#!/bin/bash
|
||||
#
|
||||
# Copyright (c) 2019 Intel Corporation
|
||||
#
|
||||
# SPDX-License-Identifier: Apache-2.0
|
||||
|
||||
# Helper routines for setting up a constant CPU load on the cluster/nodes
|
||||
|
||||
CPULOAD_DIR=${THIS_FILE%/*}
|
||||
|
||||
# Default to testing all cores
|
||||
SMF_CPU_LOAD_NODES_NCPU=${SMF_CPU_LOAD_NODES_NCPU:-0}
|
||||
# Default to 100% load (yes, this might kill your node)
|
||||
SMF_CPU_LOAD_NODES_PERCENT=${SMF_CPU_LOAD_NODES_PERCENT:-}
|
||||
# Default to not setting any limits or requests, so no cpuset limiting and
|
||||
# no cpu core pinning
|
||||
SMF_CPU_LOAD_NODES_LIMIT=${SMF_CPU_LOAD_NODES_LIMIT:-}
|
||||
SMF_CPU_LOAD_NODES_REQUEST=${SMF_CPU_LOAD_NODES_REQUEST:-}
|
||||
|
||||
cpu_load_post_deploy_sleep=${cpu_load_post_deploy_sleep:-30}
|
||||
|
||||
cpu_per_node_daemonset=cpu-load
|
||||
clean_up_cpu_per_node=false
|
||||
|
||||
# Use a DaemonSet to place one cpu stressor on each node.
|
||||
cpu_per_node_init() {
|
||||
info "Generating per-node CPU load daemonset"
|
||||
|
||||
local ds_template=${CPULOAD_DIR}/cpu_load_daemonset.yaml.in
|
||||
local ds_yaml=${ds_template%\.in}
|
||||
|
||||
# Grab a copy of the template
|
||||
cp -f ${ds_template} ${ds_yaml}
|
||||
|
||||
# If a setting is not used (defined), then delete its relevant
|
||||
# lines from the YAML. Note, the YAML is constructed when necessary
|
||||
# with comments on the correct lines to ensure all necessary lines are
|
||||
# deleted
|
||||
if [ -z "$SMF_CPU_LOAD_NODES_NCPU" ]; then
|
||||
sed -i '/CPU_NCPU/d' ${ds_yaml}
|
||||
fi
|
||||
|
||||
if [ -z "${SMF_CPU_LOAD_NODES_PERCENT}" ]; then
|
||||
sed -i '/CPU_PERCENT/d' ${ds_yaml}
|
||||
fi
|
||||
|
||||
if [ -z "${SMF_CPU_LOAD_NODES_LIMIT}" ]; then
|
||||
sed -i '/CPU_LIMIT/d' ${ds_yaml}
|
||||
fi
|
||||
|
||||
if [ -z "${SMF_CPU_LOAD_NODES_REQUEST}" ]; then
|
||||
sed -i '/CPU_REQUEST/d' ${ds_yaml}
|
||||
fi
|
||||
|
||||
# And then finally replace all the remaining defined parts with the
|
||||
# real values.
|
||||
sed -i \
|
||||
-e "s|@CPU_NCPU@|${SMF_CPU_LOAD_NODES_NCPU}|g" \
|
||||
-e "s|@CPU_PERCENT@|${SMF_CPU_LOAD_NODES_PERCENT}|g" \
|
||||
-e "s|@CPU_LIMIT@|${SMF_CPU_LOAD_NODES_LIMIT}|g" \
|
||||
-e "s|@CPU_REQUEST@|${SMF_CPU_LOAD_NODES_REQUEST}|g" \
|
||||
${ds_yaml}
|
||||
|
||||
# Launch the daemonset...
|
||||
info "Deploying cpu-load-per-node daemonset"
|
||||
kubectl apply -f ${ds_yaml}
|
||||
kubectl rollout status --timeout=${wait_time}s daemonset/${cpu_per_node_daemonset}
|
||||
clean_up_cpu_per_node=yes
|
||||
info "cpu-load-per-node daemonset Deployed"
|
||||
if [ -n "$cpu_load_post_deploy_sleep" ]; then
|
||||
info "Sleeping ${cpu_load_post_deploy_sleep}s for cpu-load to settle"
|
||||
sleep ${cpu_load_post_deploy_sleep}
|
||||
fi
|
||||
|
||||
# And store off our config into the JSON results
|
||||
metrics_json_start_array
|
||||
local json="$(cat << EOF
|
||||
{
|
||||
"LOAD_NODES_NCPU": "${SMF_CPU_LOAD_NODES_NCPU}",
|
||||
"LOAD_NODES_PERCENT": "${SMF_CPU_LOAD_NODES_PERCENT}",
|
||||
"LOAD_NODES_LIMIT": "${SMF_CPU_LOAD_NODES_LIMIT}",
|
||||
"LOAD_NODES_REQUEST": "${SMF_CPU_LOAD_NODES_REQUEST}"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_element "$json"
|
||||
metrics_json_end_array "cpu-load"
|
||||
}
|
||||
|
||||
cpu_load_init() {
|
||||
info "Check if we need CPU load generators..."
|
||||
# This is defaulted of off (not defined), unless the high level test requests it.
|
||||
if [ -n "$SMF_CPU_LOAD_NODES" ]; then
|
||||
info "Initialising per-node CPU load"
|
||||
cpu_per_node_init
|
||||
fi
|
||||
}
|
||||
|
||||
cpu_load_shutdown() {
|
||||
if [ "$clean_up_cpu_per_node" = "yes" ]; then
|
||||
info "Cleaning up cpu per node load daemonset"
|
||||
kubectl delete daemonset --wait=true --timeout=${delete_wait_time}s "${cpu_per_node_daemonset}" || true
|
||||
fi
|
||||
}
|
||||
@@ -0,0 +1,81 @@
|
||||
# `cpu-load` stack stresser
|
||||
|
||||
The `cpu-load` stress functionality of the scaling framework allows you to optionally add a constant CPU stress
|
||||
load to cluster under test whilst the tests are running. This aids impact analysis of CPU load.
|
||||
|
||||
The `cpu-load` functionality utilises the [`stress-ng`](https://kernel.ubuntu.com/git/cking/stress-ng.git/) tool
|
||||
to generate the CPU load. Some of the configuration parameters are taken directoy from the `stress-ng` command line.
|
||||
|
||||
## Configuration
|
||||
|
||||
`cpu-load` is configured via a number of environment variables:
|
||||
|
||||
| Tool | Description |
|
||||
| ---- | ----------- |
|
||||
| collectd | `collectd` based statistics/metrics gathering daemonset code |
|
||||
| lib | General library helper functions for forming and launching workloads, and storing results in a uniform manner to aid later analysis |
|
||||
| report | Rmarkdown based report generator, used to produce a PDF comparison report of 1 or more sets of results |
|
||||
| scaling | Tests to measure scaling, such as linear or parallel launching of pods |
|
||||
|
||||
| Variable | Description | Default |
|
||||
| -------- | ----------- | ------- |
|
||||
| `SMF_CPU_LOAD_NODES` | Set to non-empty to deploy `cpu-load` stressor | unset (off) |
|
||||
| `SMF_CPU_LOAD_NODES_NCPU` | Number of stressor threads to launch per node | 0 (one per cpu) |
|
||||
| `SMF_CPU_LOAD_NODES_PERCENT` | Percentage of CPU to load | unset (100%) |
|
||||
| `SMF_CPU_LOAD_NODES_LIMIT` | k8s cpu resource limit to set | unset (none) |
|
||||
| `SMF_CPU_LOAD_NODES_REQUEST` | k8s cpu resource request to set | unset (none) |
|
||||
| `cpu_load_post_deploy_sleep` | Seconds to sleep for `cpu-load` deployment to settle | 30 |
|
||||
|
||||
`SMF_CPU_LOAD_NODES` must be set to a non-empty string to enable the `cpu-load` functionality. `cpu-load` uses
|
||||
a daemonSet to deploy one `stress-ng` single container pod to each active node in the cluster.
|
||||
|
||||
|
||||
Any of the `SMF_CPU_LOAD_NODES_*` variables can be set, or unset, and the daemonSet pods will be configured
|
||||
appropriately.
|
||||
|
||||
## Examples
|
||||
|
||||
The combinations of settings available allow a lot of flexibility. Below are some common example setups:
|
||||
|
||||
### 50% CPU load on all cores of all nodes (`stress-ng`)
|
||||
|
||||
Here we allow `stress-ng` to spawn workers to cover all the CPUs on each node, but ask it to restrict its
|
||||
bandwidth use to 50% of the CPU. We do not use the k8s limits.
|
||||
|
||||
```bash
|
||||
export SMF_CPU_LOAD_NODES=true
|
||||
#export SMF_CPU_LOAD_NODES_NCPU=
|
||||
export SMF_CPU_LOAD_NODES_PERCENT=50
|
||||
#export SMF_CPU_LOAD_NODES_LIMIT=999m
|
||||
#export SMF_CPU_LOAD_NODES_REQUEST=999m
|
||||
```
|
||||
|
||||
### 50% CPU load on 1 un-pinned core of all nodes (k8s `limits`)
|
||||
|
||||
Here we set `stress-ng` to run a single worker thread at 100% CPU, but use the k8s resource limits to restrict
|
||||
actual CPU usage to 50%. Because the k8s limit and request are not whole interger units, if the static policy is
|
||||
in place on the k8s cluster, the pods will be classified as Guaranteed QoS, but will *not* get pinned to a specific
|
||||
cpuset.
|
||||
|
||||
```bash
|
||||
export SMF_CPU_LOAD_NODES=true
|
||||
export SMF_CPU_LOAD_NODES_NCPU=1
|
||||
export SMF_CPU_LOAD_NODES_PERCENT=100
|
||||
export SMF_CPU_LOAD_NODES_LIMIT=500m
|
||||
export SMF_CPU_LOAD_NODES_REQUEST=500m
|
||||
```
|
||||
|
||||
### 50% CPU load pinned to 1 core, on all nodes
|
||||
|
||||
Here we set `stress-ng` to run a single worker thread at 50% CPU, and use the k8s resource limits to classify the
|
||||
pod as Guaranteed, and as we are using whole integer units of CPU resource requests, if the static policy manager is
|
||||
in play, the thread will be pinned to a single cpu cpuset.
|
||||
|
||||
```bash
|
||||
export SMF_CPU_LOAD_NODES=true
|
||||
export SMF_CPU_LOAD_NODES_NCPU=1
|
||||
export SMF_CPU_LOAD_NODES_PERCENT=50
|
||||
export SMF_CPU_LOAD_NODES_LIMIT=1
|
||||
export SMF_CPU_LOAD_NODES_REQUEST=1
|
||||
```
|
||||
|
||||
@@ -0,0 +1,30 @@
|
||||
apiVersion: apps/v1
|
||||
kind: DaemonSet
|
||||
metadata:
|
||||
name: cpu-load
|
||||
spec:
|
||||
selector:
|
||||
matchLabels:
|
||||
name: cpu-load-pods
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
name: cpu-load-pods
|
||||
spec:
|
||||
hostNetwork: true
|
||||
terminationGracePeriodSeconds: 0
|
||||
containers:
|
||||
- name: cpu-load
|
||||
imagePullPolicy: IfNotPresent
|
||||
image: polinux/stress-ng
|
||||
command: ["stress-ng"]
|
||||
args: # comment fields here so we can *delete* sections on demand
|
||||
- "--cpu"
|
||||
- "@CPU_NCPU@"
|
||||
- "-l" #CPU_PERCENT
|
||||
- "@CPU_PERCENT@" #CPU_PERCENT
|
||||
resources:
|
||||
limits:
|
||||
cpu: @CPU_LIMIT@
|
||||
requests:
|
||||
cpu: @CPU_REQUEST@
|
||||
@@ -100,7 +100,7 @@ setup() {
|
||||
}
|
||||
|
||||
run() {
|
||||
docker run -ti --rm -v ${HOSTINPUTDIR}:${GUESTINPUTDIR} -v ${HOSTOUTPUTDIR}:${GUESTOUTPUTDIR} ${extra_volumes} ${IMAGE} ${extra_command}
|
||||
docker run ${extra_opts} --rm -v ${HOSTINPUTDIR}:${GUESTINPUTDIR} -v ${HOSTOUTPUTDIR}:${GUESTOUTPUTDIR} ${extra_volumes} ${IMAGE} ${extra_command}
|
||||
ls -la ${HOSTOUTPUTDIR}/*
|
||||
}
|
||||
|
||||
@@ -113,6 +113,7 @@ main() {
|
||||
# In debug mode, run a shell instead of the default report generation
|
||||
extra_command="bash"
|
||||
extra_volumes="-v ${HOSTSCRIPTDIR}:${GUESTSCRIPTDIR}"
|
||||
extra_opts="-ti"
|
||||
;;
|
||||
esac
|
||||
done
|
||||
|
||||
@@ -13,10 +13,10 @@
|
||||
# We would have used the 'verse' base, that already has some of the docs processing
|
||||
# installed, but I could not figure out how to add in the extra bits we needed to
|
||||
# the lite tex version is uses.
|
||||
FROM rocker/tidyverse:latest
|
||||
FROM rocker/tidyverse:3.6.0
|
||||
|
||||
# Version of the Dockerfile
|
||||
LABEL DOCKERFILE_VERSION="1.0"
|
||||
LABEL DOCKERFILE_VERSION="1.1"
|
||||
|
||||
# Without this some of the package installs stop to try and ask questions...
|
||||
ENV DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -13,95 +13,105 @@ library(gridExtra) # together.
|
||||
suppressMessages(suppressWarnings(library(ggpubr))) # for ggtexttable.
|
||||
suppressMessages(library(jsonlite)) # to load the data.
|
||||
|
||||
# A list of all the known results files we might find the information inside.
|
||||
resultsfiles=c(
|
||||
"k8s-parallel.json",
|
||||
"k8s-scaling.json",
|
||||
"k8s-rapid.json"
|
||||
)
|
||||
render_dut_details <- function()
|
||||
{
|
||||
# A list of all the known results files we might find the information inside.
|
||||
resultsfiles=c(
|
||||
"k8s-parallel.json",
|
||||
"k8s-scaling.json",
|
||||
"k8s-rapid.json"
|
||||
)
|
||||
|
||||
data=c()
|
||||
stats=c()
|
||||
stats_names=c()
|
||||
data=c()
|
||||
stats=c()
|
||||
stats_names=c()
|
||||
|
||||
# For each set of results
|
||||
for (currentdir in resultdirs) {
|
||||
count=1
|
||||
dirstats=c()
|
||||
for (resultsfile in resultsfiles) {
|
||||
fname=paste(inputdir, currentdir, resultsfile, sep="/")
|
||||
if ( !file.exists(fname)) {
|
||||
#warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
}
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
|
||||
if (length(fdata$'kubectl-version') != 0 ) {
|
||||
# We have kata-runtime data
|
||||
dirstats=tibble("Client Ver"=as.character(fdata$'kubectl-version'$clientVersion$gitVersion))
|
||||
dirstats=cbind(dirstats, "Server Ver"=as.character(fdata$'kubectl-version'$serverVersion$gitVersion))
|
||||
numnodes= nrow(fdata$'kubectl-get-nodes'$items)
|
||||
dirstats=cbind(dirstats, "No. nodes"=as.character(numnodes))
|
||||
|
||||
if (numnodes != 0) {
|
||||
first_node=fdata$'kubectl-get-nodes'$items[1,]
|
||||
dirstats=cbind(dirstats, "- Node0 name"=as.character(first_node$metadata$name))
|
||||
|
||||
havekata=first_node$metadata$labels$'katacontainers.io/kata-runtime'
|
||||
if ( is.null(havekata) ) {
|
||||
dirstats=cbind(dirstats, " Have Kata"=as.character('false'))
|
||||
} else {
|
||||
dirstats=cbind(dirstats, " Have Kata"=as.character(havekata))
|
||||
}
|
||||
|
||||
dirstats=cbind(dirstats, " CPUs"=as.character(first_node$status$capacity$cpu))
|
||||
dirstats=cbind(dirstats, " Memory"=as.character(first_node$status$capacity$memory))
|
||||
dirstats=cbind(dirstats, " MaxPods"=as.character(first_node$status$capacity$pods))
|
||||
dirstats=cbind(dirstats, " PodCIDR"=as.character(first_node$spec$podCIDR))
|
||||
|
||||
dirstats=cbind(dirstats, " runtime"=as.character(first_node$status$nodeInfo$containerRuntimeVersion))
|
||||
dirstats=cbind(dirstats, " kernel"=as.character(first_node$status$nodeInfo$kernelVersion))
|
||||
dirstats=cbind(dirstats, " kubeProxy"=as.character(first_node$status$nodeInfo$kubeProxyVersion))
|
||||
dirstats=cbind(dirstats, " Kubelet"=as.character(first_node$status$nodeInfo$kubeletVersion))
|
||||
dirstats=cbind(dirstats, " OS"=as.character(first_node$status$nodeInfo$osImage))
|
||||
# For each set of results
|
||||
for (currentdir in resultdirs) {
|
||||
count=1
|
||||
dirstats=c()
|
||||
datasetname=c()
|
||||
for (resultsfile in resultsfiles) {
|
||||
fname=paste(inputdir, currentdir, resultsfile, sep="/")
|
||||
if ( !file.exists(fname)) {
|
||||
#warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
}
|
||||
|
||||
break
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
|
||||
if (length(fdata$'kubectl-version') != 0 ) {
|
||||
# We have kata-runtime data
|
||||
dirstats=tibble("Client Ver"=as.character(fdata$'kubectl-version'$clientVersion$gitVersion))
|
||||
dirstats=cbind(dirstats, "Server Ver"=as.character(fdata$'kubectl-version'$serverVersion$gitVersion))
|
||||
numnodes= nrow(fdata$'kubectl-get-nodes'$items)
|
||||
dirstats=cbind(dirstats, "No. nodes"=as.character(numnodes))
|
||||
|
||||
if (numnodes != 0) {
|
||||
first_node=fdata$'kubectl-get-nodes'$items[1,]
|
||||
dirstats=cbind(dirstats, "- Node0 name"=as.character(first_node$metadata$name))
|
||||
|
||||
havekata=first_node$metadata$labels$'katacontainers.io/kata-runtime'
|
||||
if ( is.null(havekata) ) {
|
||||
dirstats=cbind(dirstats, " Have Kata"=as.character('false'))
|
||||
} else {
|
||||
dirstats=cbind(dirstats, " Have Kata"=as.character(havekata))
|
||||
}
|
||||
|
||||
dirstats=cbind(dirstats, " CPUs"=as.character(first_node$status$capacity$cpu))
|
||||
dirstats=cbind(dirstats, " Memory"=as.character(first_node$status$capacity$memory))
|
||||
dirstats=cbind(dirstats, " MaxPods"=as.character(first_node$status$capacity$pods))
|
||||
dirstats=cbind(dirstats, " PodCIDR"=as.character(first_node$spec$podCIDR))
|
||||
|
||||
dirstats=cbind(dirstats, " runtime"=as.character(first_node$status$nodeInfo$containerRuntimeVersion))
|
||||
dirstats=cbind(dirstats, " kernel"=as.character(first_node$status$nodeInfo$kernelVersion))
|
||||
dirstats=cbind(dirstats, " kubeProxy"=as.character(first_node$status$nodeInfo$kubeProxyVersion))
|
||||
dirstats=cbind(dirstats, " Kubelet"=as.character(first_node$status$nodeInfo$kubeletVersion))
|
||||
dirstats=cbind(dirstats, " OS"=as.character(first_node$status$nodeInfo$osImage))
|
||||
}
|
||||
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
if ( length(dirstats) == 0 ) {
|
||||
cat(paste("No valid data found for directory ", currentdir, "\n\n"))
|
||||
}
|
||||
|
||||
# use plyr rbind.fill so we can combine disparate version info frames
|
||||
stats=rbind.fill(stats, dirstats)
|
||||
stats_names=rbind(stats_names, datasetname)
|
||||
}
|
||||
|
||||
if ( length(dirstats) == 0 ) {
|
||||
warning(paste("No valid data found for directory ", currentdir))
|
||||
if ( length(stats_names) == 0 ) {
|
||||
cat("No system details found\n\n")
|
||||
return()
|
||||
}
|
||||
|
||||
# use plyr rbind.fill so we can combine disparate version info frames
|
||||
stats=rbind.fill(stats, dirstats)
|
||||
stats_names=rbind(stats_names, datasetname)
|
||||
rownames(stats) = stats_names
|
||||
|
||||
# Rotate the tibble so we get data dirs as the columns
|
||||
spun_stats = as_tibble(cbind(What=names(stats), t(stats)))
|
||||
|
||||
# Build us a text table of numerical results
|
||||
# Set up as left hand justify, so the node data indent renders.
|
||||
tablefontsize=8
|
||||
tbody.style = tbody_style(hjust=0, x=0.1, size=tablefontsize)
|
||||
stats_plot = suppressWarnings(ggtexttable(data.frame(spun_stats, check.names=FALSE),
|
||||
theme=ttheme(base_size=tablefontsize, tbody.style=tbody.style),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
# It may seem odd doing a grid of 1x1, but it should ensure we get a uniform format and
|
||||
# layout to match the other charts and tables in the report.
|
||||
master_plot = grid.arrange(
|
||||
stats_plot,
|
||||
nrow=1,
|
||||
ncol=1 )
|
||||
}
|
||||
|
||||
rownames(stats) = stats_names
|
||||
|
||||
# Rotate the tibble so we get data dirs as the columns
|
||||
spun_stats = as_tibble(cbind(What=names(stats), t(stats)))
|
||||
|
||||
# Build us a text table of numerical results
|
||||
# Set up as left hand justify, so the node data indent renders.
|
||||
tablefontsize=8
|
||||
tbody.style = tbody_style(hjust=0, x=0.1, size=tablefontsize)
|
||||
stats_plot = suppressWarnings(ggtexttable(data.frame(spun_stats, check.names=FALSE),
|
||||
theme=ttheme(base_size=tablefontsize, tbody.style=tbody.style),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
# It may seem odd doing a grid of 1x1, but it should ensure we get a uniform format and
|
||||
# layout to match the other charts and tables in the report.
|
||||
master_plot = grid.arrange(
|
||||
stats_plot,
|
||||
nrow=1,
|
||||
ncol=1 )
|
||||
|
||||
render_dut_details()
|
||||
|
||||
@@ -0,0 +1,26 @@
|
||||
|
||||
library('elasticsearchr')
|
||||
|
||||
for_scaling <- query('{
|
||||
"bool": {
|
||||
"must": [
|
||||
{ "match":
|
||||
{
|
||||
"test.testname": "k8s scaling"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}')
|
||||
|
||||
these_fields <- select_fields('{
|
||||
"includes": [
|
||||
"date.Date",
|
||||
"k8s-scaling.BootResults.launch_time.Result",
|
||||
"k8s-scaling.BootResults.n_pods.Result"
|
||||
]
|
||||
}')
|
||||
|
||||
sort_by_date <- sort_on('[{"date.Date": {"order": "asc"}}]')
|
||||
|
||||
x=elastic("http://192.168.0.111:9200", "logtest") %search% (for_scaling + sort_by_date + these_fields)
|
||||
@@ -32,7 +32,7 @@ This [test](https://github.com/clearlinux/cloud-native-setup/metrics/scaling/k8s
|
||||
measures the time taken to launch and delete pods in parallel using a deployment. The times
|
||||
are how long it takes for the whole deployment operation to complete.
|
||||
|
||||
```{r parallel, echo=FALSE, fig.cap="K8S parallel pods"}
|
||||
```{r parallel, echo=FALSE, fig.cap="K8S parallel pods", results='asis'}
|
||||
source('parallel.R')
|
||||
```
|
||||
|
||||
@@ -57,7 +57,7 @@ This table describes the test system details, as derived from the information co
|
||||
in the test results files.
|
||||
|
||||
|
||||
```{r dut, echo=FALSE, fig.cap="System configuration details"}
|
||||
```{r dut, echo=FALSE, fig.cap="System configuration details", results='asis'}
|
||||
source('dut-details.R')
|
||||
```
|
||||
|
||||
@@ -67,6 +67,6 @@ source('dut-details.R')
|
||||
|
||||
This table describes node details within the Kubernetes cluster that have been used for test.
|
||||
|
||||
```{r node, echo=FALSE, fig.cap="Node information within Kubernetes cluster"}
|
||||
```{r node, echo=FALSE, fig.cap="Node information within Kubernetes cluster", results='asis'}
|
||||
source('node-info.R')
|
||||
```
|
||||
|
||||
@@ -13,83 +13,96 @@ library(gridExtra) # together.
|
||||
suppressMessages(suppressWarnings(library(ggpubr))) # for ggtexttable.
|
||||
suppressMessages(library(jsonlite)) # to load the data.
|
||||
|
||||
# A list of all the known results files we might find the information inside.
|
||||
resultsfiles=c(
|
||||
"k8s-scaling.json"
|
||||
)
|
||||
render_node_info <- function()
|
||||
{
|
||||
# A list of all the known results files we might find the information inside.
|
||||
resultsfiles=c(
|
||||
"k8s-scaling.json"
|
||||
)
|
||||
|
||||
stats=c()
|
||||
stats_names=c()
|
||||
max_char_name_node=18
|
||||
stats=c()
|
||||
stats_names=c()
|
||||
datasetname=c()
|
||||
complete_data=c()
|
||||
max_char_name_node=18
|
||||
|
||||
# list for each dirstats
|
||||
dirstats_list=list()
|
||||
j=1
|
||||
# list for each dirstats
|
||||
dirstats_list=list()
|
||||
j=1
|
||||
|
||||
# For each set of results
|
||||
for (currentdir in resultdirs) {
|
||||
dirstats=c()
|
||||
for (resultsfile in resultsfiles) {
|
||||
fname=paste(inputdir, currentdir, resultsfile, sep="/")
|
||||
if ( !file.exists(fname)) {
|
||||
next
|
||||
}
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
|
||||
if (length(fdata$'kubectl-version') != 0 ) {
|
||||
numnodes= nrow(fdata$'kubectl-get-nodes'$items)
|
||||
for (i in 1:numnodes) {
|
||||
node_i=fdata$'kubectl-get-nodes'$items[i,]
|
||||
node_info=fdata$'socketsPerNode'[i,]
|
||||
|
||||
# Substring node name so it fits properly into final table
|
||||
node_name=node_i$metadata$name
|
||||
if ( nchar(node_name) >= max_char_name_node) {
|
||||
dirstats=tibble("Node \nname"=as.character(substring(node_name, 1, max_char_name_node)))
|
||||
} else {
|
||||
dirstats=tibble("Node \nname"=as.character(node_name))
|
||||
}
|
||||
|
||||
dirstats=cbind(dirstats, "CPUs"=as.character(node_i$status$capacity$cpu))
|
||||
dirstats=cbind(dirstats, "Memory"=as.character(node_i$status$capacity$memory))
|
||||
dirstats=cbind(dirstats, "Max \nPods"=as.character(node_i$status$capacity$pods))
|
||||
dirstats=cbind(dirstats, "Count \nsockets"=as.character(node_info$num_sockets))
|
||||
dirstats=cbind(dirstats, "Have \nhypervisor"=as.character(node_info$hypervisor))
|
||||
|
||||
dirstats=cbind(dirstats, "kernel"=as.character(node_i$status$nodeInfo$kernelVersion))
|
||||
dirstats=cbind(dirstats, "OS"=as.character(node_i$status$nodeInfo$osImage))
|
||||
dirstats=cbind(dirstats, "Test"=as.character(datasetname))
|
||||
|
||||
dirstats_list[[j]]=dirstats
|
||||
j=j+1
|
||||
# For each set of results
|
||||
for (currentdir in resultdirs) {
|
||||
dirstats=c()
|
||||
for (resultsfile in resultsfiles) {
|
||||
fname=paste(inputdir, currentdir, resultsfile, sep="/")
|
||||
if ( !file.exists(fname)) {
|
||||
next
|
||||
}
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
|
||||
if (length(fdata$'kubectl-version') != 0 ) {
|
||||
numnodes= nrow(fdata$'kubectl-get-nodes'$items)
|
||||
for (i in 1:numnodes) {
|
||||
node_i=fdata$'kubectl-get-nodes'$items[i,]
|
||||
node_info=fdata$'socketsPerNode'[i,]
|
||||
|
||||
# Substring node name so it fits properly into final table
|
||||
node_name=node_i$metadata$name
|
||||
if ( nchar(node_name) >= max_char_name_node) {
|
||||
dirstats=tibble("Node \nname"=as.character(substring(node_name, 1, max_char_name_node)))
|
||||
} else {
|
||||
dirstats=tibble("Node \nname"=as.character(node_name))
|
||||
}
|
||||
|
||||
dirstats=cbind(dirstats, "CPUs"=as.character(node_i$status$capacity$cpu))
|
||||
dirstats=cbind(dirstats, "Memory"=as.character(node_i$status$capacity$memory))
|
||||
dirstats=cbind(dirstats, "Max \nPods"=as.character(node_i$status$capacity$pods))
|
||||
dirstats=cbind(dirstats, "Count \nsockets"=as.character(node_info$num_sockets))
|
||||
dirstats=cbind(dirstats, "Have \nhypervisor"=as.character(node_info$hypervisor))
|
||||
|
||||
dirstats=cbind(dirstats, "kernel"=as.character(node_i$status$nodeInfo$kernelVersion))
|
||||
dirstats=cbind(dirstats, "OS"=as.character(node_i$status$nodeInfo$osImage))
|
||||
dirstats=cbind(dirstats, "Test"=as.character(datasetname))
|
||||
|
||||
dirstats_list[[j]]=dirstats
|
||||
j=j+1
|
||||
}
|
||||
complete_data = do.call(rbind, dirstats_list)
|
||||
}
|
||||
complete_data = do.call(rbind, dirstats_list)
|
||||
}
|
||||
|
||||
if ( length(complete_data) == 0 ) {
|
||||
cat(paste("No valid data found for directory ", currentdir, "\n\n"))
|
||||
}
|
||||
|
||||
# use plyr rbind.fill so we can combine disparate version info frames
|
||||
stats=rbind.fill(stats, complete_data)
|
||||
stats_names=rbind(stats_names, datasetname)
|
||||
}
|
||||
|
||||
if ( length(complete_data) == 0 ) {
|
||||
warning(paste("No valid data found for directory ", currentdir))
|
||||
if ( length(stats_names) == 0 ) {
|
||||
cat("No node stats found\n\n");
|
||||
return()
|
||||
}
|
||||
|
||||
# use plyr rbind.fill so we can combine disparate version info frames
|
||||
stats=rbind.fill(stats, complete_data)
|
||||
stats_names=rbind(stats_names, datasetname)
|
||||
# Build us a text table of numerical results
|
||||
# Set up as left hand justify, so the node data indent renders.
|
||||
tablefontsize=8
|
||||
tbody.style = tbody_style(hjust=0, x=0.1, size=tablefontsize)
|
||||
stats_plot = suppressWarnings(ggtexttable(data.frame(complete_data, check.names=FALSE),
|
||||
theme=ttheme(base_size=tablefontsize, tbody.style=tbody.style),
|
||||
rows=NULL))
|
||||
|
||||
# It may seem odd doing a grid of 1x1, but it should ensure we get a uniform format and
|
||||
# layout to match the other charts and tables in the report.
|
||||
master_plot = grid.arrange(stats_plot,
|
||||
nrow=1,
|
||||
ncol=1 )
|
||||
}
|
||||
# Build us a text table of numerical results
|
||||
# Set up as left hand justify, so the node data indent renders.
|
||||
tablefontsize=8
|
||||
tbody.style = tbody_style(hjust=0, x=0.1, size=tablefontsize)
|
||||
stats_plot = suppressWarnings(ggtexttable(data.frame(complete_data, check.names=FALSE),
|
||||
theme=ttheme(base_size=tablefontsize, tbody.style=tbody.style),
|
||||
rows=NULL))
|
||||
|
||||
# It may seem odd doing a grid of 1x1, but it should ensure we get a uniform format and
|
||||
# layout to match the other charts and tables in the report.
|
||||
master_plot = grid.arrange(stats_plot,
|
||||
nrow=1,
|
||||
ncol=1 )
|
||||
render_node_info()
|
||||
|
||||
@@ -13,113 +13,123 @@ suppressMessages(suppressWarnings(library(ggpubr))) # for ggtexttable.
|
||||
suppressMessages(library(jsonlite)) # to load the data.
|
||||
suppressMessages(library(scales)) # For de-science notation of axis
|
||||
|
||||
testnames=c(
|
||||
"k8s-parallel*"
|
||||
)
|
||||
render_parallel <- function()
|
||||
{
|
||||
testnames=c(
|
||||
"k8s-parallel*"
|
||||
)
|
||||
|
||||
data=c()
|
||||
stats=c()
|
||||
rstats=c()
|
||||
rstats_names=c()
|
||||
cstats=c()
|
||||
cstats_names=c()
|
||||
data=c()
|
||||
stats=c()
|
||||
rstats=c()
|
||||
rstats_names=c()
|
||||
cstats=c()
|
||||
cstats_names=c()
|
||||
|
||||
skip_points_enable_smooth=0 # Should we draw the points as well as lines on the graphs.
|
||||
skip_points_enable_smooth=0 # Should we draw the points as well as lines on the graphs.
|
||||
|
||||
for (currentdir in resultdirs) {
|
||||
dirstats=c()
|
||||
for (testname in testnames) {
|
||||
matchdir=paste(inputdir, currentdir, sep="")
|
||||
matchfile=paste(testname, '\\.json', sep="")
|
||||
files=list.files(matchdir, pattern=matchfile)
|
||||
if ( length(files) == 0 ) {
|
||||
#warning(paste("Pattern [", matchdir, "/", matchfile, "] matched nothing"))
|
||||
}
|
||||
for (ffound in files) {
|
||||
fname=paste(inputdir, currentdir, ffound, sep="")
|
||||
if ( !file.exists(fname)) {
|
||||
warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
for (currentdir in resultdirs) {
|
||||
dirstats=c()
|
||||
for (testname in testnames) {
|
||||
matchdir=paste(inputdir, currentdir, sep="")
|
||||
matchfile=paste(testname, '\\.json', sep="")
|
||||
files=list.files(matchdir, pattern=matchfile)
|
||||
if ( length(files) == 0 ) {
|
||||
#warning(paste("Pattern [", matchdir, "/", matchfile, "] matched nothing"))
|
||||
}
|
||||
for (ffound in files) {
|
||||
fname=paste(inputdir, currentdir, ffound, sep="")
|
||||
if ( !file.exists(fname)) {
|
||||
warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
}
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
# De-nest the test name specific data
|
||||
shortname=substr(ffound, 1, nchar(ffound)-nchar(".json"))
|
||||
fdata=fdata[[shortname]]
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
# De-nest the test name specific data
|
||||
shortname=substr(ffound, 1, nchar(ffound)-nchar(".json"))
|
||||
fdata=fdata[[shortname]]
|
||||
|
||||
testname=datasetname
|
||||
testname=datasetname
|
||||
|
||||
# convert ms to seconds
|
||||
cdata=data.frame(boot_time=as.numeric(fdata$BootResults$launch_time$Result)/1000)
|
||||
cdata=cbind(cdata, delete_time=as.numeric(fdata$BootResults$delete_time$Result)/1000)
|
||||
cdata=cbind(cdata, npod=as.numeric(fdata$BootResults$n_pods$Result))
|
||||
# convert ms to seconds
|
||||
cdata=data.frame(boot_time=as.numeric(fdata$BootResults$launch_time$Result)/1000)
|
||||
cdata=cbind(cdata, delete_time=as.numeric(fdata$BootResults$delete_time$Result)/1000)
|
||||
cdata=cbind(cdata, npod=as.numeric(fdata$BootResults$n_pods$Result))
|
||||
|
||||
# If we have more than 20 items to draw, then do not draw the points on
|
||||
# the graphs, as they are then too noisy to read.
|
||||
# But, do draw the smoothed lines to help read the now dense and potentially
|
||||
# noisy graphs.
|
||||
if (length(cdata[, "boot_time"]) > 20) {
|
||||
skip_points_enable_smooth=1
|
||||
# If we have more than 20 items to draw, then do not draw the points on
|
||||
# the graphs, as they are then too noisy to read.
|
||||
# But, do draw the smoothed lines to help read the now dense and potentially
|
||||
# noisy graphs.
|
||||
if (length(cdata[, "boot_time"]) > 20) {
|
||||
skip_points_enable_smooth=1
|
||||
}
|
||||
|
||||
cdata=cbind(cdata, testname=rep(testname, length(cdata[, "boot_time"]) ))
|
||||
cdata=cbind(cdata, dataset=rep(datasetname, length(cdata[, "boot_time"]) ))
|
||||
|
||||
# Store away as a single set
|
||||
data=rbind(data, cdata)
|
||||
}
|
||||
|
||||
cdata=cbind(cdata, testname=rep(testname, length(cdata[, "boot_time"]) ))
|
||||
cdata=cbind(cdata, dataset=rep(datasetname, length(cdata[, "boot_time"]) ))
|
||||
|
||||
# Store away as a single set
|
||||
data=rbind(data, cdata)
|
||||
}
|
||||
}
|
||||
|
||||
# If we found nothing to process, quit early and nicely
|
||||
if ( length(data) == 0 ) {
|
||||
cat("No results files found for parallel tests\n\n")
|
||||
return()
|
||||
}
|
||||
|
||||
# Show how boot time changed
|
||||
boot_line_plot <- ggplot( data=data, aes(npod, boot_time, colour=testname, group=dataset)) +
|
||||
geom_line( alpha=0.2) +
|
||||
xlab("parallel pods") +
|
||||
ylab("Boot time (s)") +
|
||||
ggtitle("Deployment boot time (detail)") +
|
||||
#ylim(0, NA) + # For big machines, better to not 0-index
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
if ( skip_points_enable_smooth == 0 ) {
|
||||
boot_line_plot = boot_line_plot + geom_point(alpha=0.3)
|
||||
} else {
|
||||
boot_line_plot = bool_line_plot + geom_smooth(se=FALSE, method="loess", size=0.3)
|
||||
}
|
||||
|
||||
# And get a zero Y index plot.
|
||||
boot_line_plot_zero = boot_line_plot + ylim(0, NA) +
|
||||
ggtitle("Deployment boot time (0 index)")
|
||||
|
||||
# Show how boot time changed
|
||||
delete_line_plot <- ggplot( data=data, aes(npod, delete_time, colour=testname, group=dataset)) +
|
||||
geom_line(alpha=0.2) +
|
||||
xlab("parallel pods") +
|
||||
ylab("Delete time (s)") +
|
||||
ggtitle("Deployment deletion time (detail)") +
|
||||
#ylim(0, NA) + # For big machines, better to not 0-index
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
if ( skip_points_enable_smooth == 0 ) {
|
||||
delete_line_plot = delete_line_plot + geom_point(alpha=0.3)
|
||||
} else {
|
||||
delete_line_plot = delete_line_plot + geom_smooth(se=FALSE, method="loess", size=0.3)
|
||||
}
|
||||
|
||||
# And get a 0 indexed Y axis plot
|
||||
delete_line_plot_zero = delete_line_plot + ylim(0, NA) +
|
||||
ggtitle("Deployment deletion time (0 index)")
|
||||
|
||||
# See https://www.r-bloggers.com/ggplot2-easy-way-to-mix-multiple-graphs-on-the-same-page/ for
|
||||
# excellent examples
|
||||
master_plot = grid.arrange(
|
||||
boot_line_plot_zero,
|
||||
delete_line_plot_zero,
|
||||
boot_line_plot,
|
||||
delete_line_plot,
|
||||
nrow=2,
|
||||
ncol=2 )
|
||||
}
|
||||
|
||||
# Show how boot time changed
|
||||
boot_line_plot <- ggplot( data=data, aes(npod, boot_time, colour=testname, group=dataset)) +
|
||||
geom_line( alpha=0.2) +
|
||||
xlab("parallel pods") +
|
||||
ylab("Boot time (s)") +
|
||||
ggtitle("Deployment boot time (detail)") +
|
||||
#ylim(0, NA) + # For big machines, better to not 0-index
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
if ( skip_points_enable_smooth == 0 ) {
|
||||
boot_line_plot = boot_line_plot + geom_point(alpha=0.3)
|
||||
} else {
|
||||
boot_line_plot = bool_line_plot + geom_smooth(se=FALSE, method="loess", size=0.3)
|
||||
}
|
||||
|
||||
# And get a zero Y index plot.
|
||||
boot_line_plot_zero = boot_line_plot + ylim(0, NA) +
|
||||
ggtitle("Deployment boot time (0 index)")
|
||||
|
||||
# Show how boot time changed
|
||||
delete_line_plot <- ggplot( data=data, aes(npod, delete_time, colour=testname, group=dataset)) +
|
||||
geom_line(alpha=0.2) +
|
||||
xlab("parallel pods") +
|
||||
ylab("Delete time (s)") +
|
||||
ggtitle("Deployment deletion time (detail)") +
|
||||
#ylim(0, NA) + # For big machines, better to not 0-index
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
if ( skip_points_enable_smooth == 0 ) {
|
||||
delete_line_plot = delete_line_plot + geom_point(alpha=0.3)
|
||||
} else {
|
||||
delete_line_plot = delete_line_plot + geom_smooth(se=FALSE, method="loess", size=0.3)
|
||||
}
|
||||
|
||||
# And get a 0 indexed Y axis plot
|
||||
delete_line_plot_zero = delete_line_plot + ylim(0, NA) +
|
||||
ggtitle("Deployment deletion time (0 index)")
|
||||
|
||||
# See https://www.r-bloggers.com/ggplot2-easy-way-to-mix-multiple-graphs-on-the-same-page/ for
|
||||
# excellent examples
|
||||
master_plot = grid.arrange(
|
||||
boot_line_plot_zero,
|
||||
delete_line_plot_zero,
|
||||
boot_line_plot,
|
||||
delete_line_plot,
|
||||
nrow=2,
|
||||
ncol=2 )
|
||||
|
||||
render_parallel()
|
||||
|
||||
@@ -8,6 +8,10 @@ author: "Auto generated"
|
||||
date: "`r format(Sys.time(), '%d %B, %Y')`"
|
||||
output:
|
||||
pdf_document:
|
||||
# Shrink the page margins so we get bigger/better resolution on the graphs
|
||||
# Keep the top and bottom margins reasonable, as we are really interested in
|
||||
# gaining 'width', and if we trim the bottom too much, we lose the page numbers.
|
||||
geometry: "left=1cm, right=1cm, top=2cm, bottom=2cm"
|
||||
urlcolor: blue
|
||||
---
|
||||
|
||||
|
||||
@@ -0,0 +1,9 @@
|
||||
|
||||
suppressMessages(library(jsonlite)) # to load the data.
|
||||
|
||||
options(digits=22)
|
||||
|
||||
x=fromJSON('{"ns": 1567002188374607769}')
|
||||
|
||||
print(x)
|
||||
print(fromJSON('{"ns": 1567002188374607769}'), digits=22)
|
||||
@@ -13,304 +13,320 @@ suppressMessages(library(jsonlite)) # to load the data.
|
||||
suppressMessages(library(scales)) # For de-science notation of axis
|
||||
library(tibble) # tibbles for tidy data
|
||||
|
||||
testnames=c(
|
||||
"k8s-scaling.*"
|
||||
)
|
||||
render_tidy_scaling <- function()
|
||||
{
|
||||
testnames=c(
|
||||
"k8s-scaling.*"
|
||||
)
|
||||
|
||||
bootdata=c() # Track per-launch data
|
||||
nodedata=c() # Track node status data
|
||||
memstats=c() # Statistics for memory usage
|
||||
cpustats=c() # Statistics for cpu usage
|
||||
bootstats=c() # Statistics for boot (launch) times
|
||||
inodestats=c() # Statistics for inode usage
|
||||
bootdata=c() # Track per-launch data
|
||||
nodedata=c() # Track node status data
|
||||
memstats=c() # Statistics for memory usage
|
||||
cpustats=c() # Statistics for cpu usage
|
||||
bootstats=c() # Statistics for boot (launch) times
|
||||
inodestats=c() # Statistics for inode usage
|
||||
|
||||
# iterate over every set of results (test run)
|
||||
for (currentdir in resultdirs) {
|
||||
# For every results file we are interested in evaluating
|
||||
for (testname in testnames) {
|
||||
matchdir=paste(inputdir, currentdir, sep="")
|
||||
matchfile=paste(testname, '\\.json', sep="")
|
||||
files=list.files(matchdir, pattern=matchfile)
|
||||
if ( length(files) == 0 ) {
|
||||
#warning(paste("Pattern [", matchdir, "/", matchfile, "] matched nothing"))
|
||||
}
|
||||
|
||||
# For every matching results file
|
||||
for (ffound in files) {
|
||||
fname=paste(inputdir, currentdir, ffound, sep="")
|
||||
if ( !file.exists(fname)) {
|
||||
warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
# iterate over every set of results (test run)
|
||||
for (currentdir in resultdirs) {
|
||||
# For every results file we are interested in evaluating
|
||||
for (testname in testnames) {
|
||||
matchdir=paste(inputdir, currentdir, sep="")
|
||||
matchfile=paste(testname, '\\.json', sep="")
|
||||
files=list.files(matchdir, pattern=matchfile)
|
||||
if ( length(files) == 0 ) {
|
||||
#warning(paste("Pattern [", matchdir, "/", matchfile, "] matched nothing"))
|
||||
}
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
# De-nest the test name specific data
|
||||
shortname=substr(ffound, 1, nchar(ffound)-nchar(".json"))
|
||||
fdata=fdata[[shortname]]
|
||||
testname=datasetname
|
||||
|
||||
# Most of the data we are looking for comes in BootResults, so pick it out to make
|
||||
# referencing easier
|
||||
br=fdata$BootResults
|
||||
|
||||
# The launched pods is a list of data frames when imported. It is much nicer
|
||||
# for us to work with it as a single data frame, so convert it...
|
||||
lp=do.call("rbind", br$launched_pods)
|
||||
|
||||
########################################################
|
||||
#### Now extract all the pod launch boot data items ####
|
||||
########################################################
|
||||
local_bootdata=tibble(launch_time=br$launch_time$Result)
|
||||
local_bootdata=cbind(local_bootdata, n_pods=br$n_pods$Result)
|
||||
local_bootdata=cbind(local_bootdata, node=lp$node)
|
||||
local_bootdata=cbind(local_bootdata, testname=rep(testname, length(local_bootdata$node)))
|
||||
|
||||
|
||||
########################################################
|
||||
#### Now extract all node performance information ######
|
||||
########################################################
|
||||
nu=br$node_util
|
||||
|
||||
# We need to associate a pod count with each result, but you
|
||||
# get one result per-node, and the JSON does not carry the pod
|
||||
# count in that table. Walk the node util structure, assigning the
|
||||
# n_pods value from the boot results over to the list of node util
|
||||
# entries associated with it - creating a new 'n_pods' field in the
|
||||
# node util dataframe.
|
||||
for (n in seq(length(br$n_pods$Result))) {
|
||||
nu[[n]]$n_pods = br$n_pods$Result[[n]]
|
||||
}
|
||||
|
||||
# node_util is a list of nested data frames. I'm sure there is some better R'ish
|
||||
# way of extracting this data maybe with dplyr, map, select or melt, but I can't
|
||||
# work it out right now, and at least this is semi-readable...
|
||||
#
|
||||
# Basically, we are de-listing and flattening the lists of dataframes into a
|
||||
# singly 'tidy' dataframe...
|
||||
nodes=do.call("rbind", lapply(nu, "[", "node"))
|
||||
noschedule=do.call("rbind", lapply(nu, "[", "noschedule"))
|
||||
n_pods=do.call("rbind", lapply(nu, "[", "n_pods"))
|
||||
idle=lapply(nu, "[", "cpu_idle")
|
||||
idle_df=do.call("rbind", lapply(idle, "[[", "cpu_idle"))
|
||||
free=lapply(nu, "[", "mem_free")
|
||||
free_df=do.call("rbind", lapply(free, "[[", "mem_free"))
|
||||
used=lapply(nu, "[", "mem_used")
|
||||
used_df=do.call("rbind", lapply(used, "[[", "mem_used"))
|
||||
ifree=lapply(nu, "[", "inode_free")
|
||||
ifree_df=do.call("rbind", lapply(ifree, "[[", "inode_free"))
|
||||
iused=lapply(nu, "[", "inode_used")
|
||||
iused_df=do.call("rbind", lapply(iused, "[[", "inode_used"))
|
||||
|
||||
|
||||
# and build our rows
|
||||
local_nodedata=tibble(node=nodes$node)
|
||||
local_nodedata=cbind(local_nodedata, n_pods=n_pods)
|
||||
local_nodedata=cbind(local_nodedata, noschedule=noschedule)
|
||||
local_nodedata=cbind(local_nodedata, idle=idle_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, mem_free=free_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, mem_used=used_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, inode_free=ifree_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, inode_used=iused_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, testname=rep(testname, length(local_nodedata$node)))
|
||||
|
||||
# Now Calculate some stats. This gets more complicated as we may have n-nodes,
|
||||
# and we want to show a 'pod average', so we try to assess for all nodes. If
|
||||
# we have different 'size' nodes in a cluster, that could throw out the result,
|
||||
# but the only other option would be to try and show every node separately in the
|
||||
# table.
|
||||
|
||||
# Get a list of all the nodes
|
||||
nodes=unique(local_nodedata$node)
|
||||
|
||||
memtotal=0
|
||||
cputotal=0
|
||||
inodetotal=0
|
||||
# Calculate per-node totals, and tot them up to a global total.
|
||||
for (n in nodes) {
|
||||
# Make a frame with just that nodes data in
|
||||
thisnode=subset(local_nodedata, node %in% c(n))
|
||||
|
||||
# Do not use the master (non-schedulable) nodes to calculate
|
||||
# launched pod metrics
|
||||
if(thisnode[1,]$noschedule == "true") {
|
||||
# For every matching results file
|
||||
for (ffound in files) {
|
||||
fname=paste(inputdir, currentdir, ffound, sep="")
|
||||
if ( !file.exists(fname)) {
|
||||
warning(paste("Skipping non-existent file: ", fname))
|
||||
next
|
||||
}
|
||||
memtotal = memtotal + thisnode[nrow(thisnode),]$mem_used
|
||||
cpuused = thisnode[1,]$idle - thisnode[nrow(thisnode),]$idle
|
||||
cputotal = cputotal + cpuused
|
||||
inodetotal = inodetotal + thisnode[nrow(thisnode),]$inode_used
|
||||
|
||||
# Derive the name from the test result dirname
|
||||
datasetname=basename(currentdir)
|
||||
|
||||
# Import the data
|
||||
fdata=fromJSON(fname)
|
||||
# De-nest the test name specific data
|
||||
shortname=substr(ffound, 1, nchar(ffound)-nchar(".json"))
|
||||
fdata=fdata[[shortname]]
|
||||
testname=datasetname
|
||||
|
||||
# Most of the data we are looking for comes in BootResults, so pick it out to make
|
||||
# referencing easier
|
||||
br=fdata$BootResults
|
||||
|
||||
# The launched pods is a list of data frames when imported. It is much nicer
|
||||
# for us to work with it as a single data frame, so convert it...
|
||||
lp=do.call("rbind", br$launched_pods)
|
||||
|
||||
########################################################
|
||||
#### Now extract all the pod launch boot data items ####
|
||||
########################################################
|
||||
local_bootdata=tibble(launch_time=br$launch_time$Result)
|
||||
local_bootdata=cbind(local_bootdata, n_pods=br$n_pods$Result)
|
||||
local_bootdata=cbind(local_bootdata, node=lp$node)
|
||||
local_bootdata=cbind(local_bootdata, testname=rep(testname, length(local_bootdata$node)))
|
||||
|
||||
|
||||
########################################################
|
||||
#### Now extract all node performance information ######
|
||||
########################################################
|
||||
nu=br$node_util
|
||||
|
||||
# We need to associate a pod count with each result, but you
|
||||
# get one result per-node, and the JSON does not carry the pod
|
||||
# count in that table. Walk the node util structure, assigning the
|
||||
# n_pods value from the boot results over to the list of node util
|
||||
# entries associated with it - creating a new 'n_pods' field in the
|
||||
# node util dataframe.
|
||||
for (n in seq(length(br$n_pods$Result))) {
|
||||
nu[[n]]$n_pods = br$n_pods$Result[[n]]
|
||||
}
|
||||
|
||||
# node_util is a list of nested data frames. I'm sure there is some better R'ish
|
||||
# way of extracting this data maybe with dplyr, map, select or melt, but I can't
|
||||
# work it out right now, and at least this is semi-readable...
|
||||
#
|
||||
# Basically, we are de-listing and flattening the lists of dataframes into a
|
||||
# singly 'tidy' dataframe...
|
||||
nodes=do.call("rbind", lapply(nu, "[", "node"))
|
||||
noschedule=do.call("rbind", lapply(nu, "[", "noschedule"))
|
||||
n_pods=do.call("rbind", lapply(nu, "[", "n_pods"))
|
||||
idle=lapply(nu, "[", "cpu_idle")
|
||||
idle_df=do.call("rbind", lapply(idle, "[[", "cpu_idle"))
|
||||
free=lapply(nu, "[", "mem_free")
|
||||
free_df=do.call("rbind", lapply(free, "[[", "mem_free"))
|
||||
used=lapply(nu, "[", "mem_used")
|
||||
used_df=do.call("rbind", lapply(used, "[[", "mem_used"))
|
||||
ifree=lapply(nu, "[", "inode_free")
|
||||
ifree_df=do.call("rbind", lapply(ifree, "[[", "inode_free"))
|
||||
iused=lapply(nu, "[", "inode_used")
|
||||
iused_df=do.call("rbind", lapply(iused, "[[", "inode_used"))
|
||||
|
||||
|
||||
# and build our rows
|
||||
local_nodedata=tibble(node=nodes$node)
|
||||
local_nodedata=cbind(local_nodedata, n_pods=n_pods)
|
||||
local_nodedata=cbind(local_nodedata, noschedule=noschedule)
|
||||
local_nodedata=cbind(local_nodedata, idle=idle_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, mem_free=free_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, mem_used=used_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, inode_free=ifree_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, inode_used=iused_df$Result)
|
||||
local_nodedata=cbind(local_nodedata, testname=rep(testname, length(local_nodedata$node)))
|
||||
|
||||
# Now Calculate some stats. This gets more complicated as we may have n-nodes,
|
||||
# and we want to show a 'pod average', so we try to assess for all nodes. If
|
||||
# we have different 'size' nodes in a cluster, that could throw out the result,
|
||||
# but the only other option would be to try and show every node separately in the
|
||||
# table.
|
||||
|
||||
# Get a list of all the nodes
|
||||
nodes=unique(local_nodedata$node)
|
||||
|
||||
memtotal=0
|
||||
cputotal=0
|
||||
inodetotal=0
|
||||
# Calculate per-node totals, and tot them up to a global total.
|
||||
for (n in nodes) {
|
||||
# Make a frame with just that nodes data in
|
||||
thisnode=subset(local_nodedata, node %in% c(n))
|
||||
|
||||
# Do not use the master (non-schedulable) nodes to calculate
|
||||
# launched pod metrics
|
||||
if(thisnode[1,]$noschedule == "true") {
|
||||
next
|
||||
}
|
||||
memtotal = memtotal + thisnode[nrow(thisnode),]$mem_used
|
||||
cpuused = thisnode[1,]$idle - thisnode[nrow(thisnode),]$idle
|
||||
cputotal = cputotal + cpuused
|
||||
inodetotal = inodetotal + thisnode[nrow(thisnode),]$inode_used
|
||||
}
|
||||
|
||||
num_pods = local_bootdata$n_pods[length(local_bootdata$n_pods)]
|
||||
# We get data in Kb, but want the graphs in Gb.
|
||||
memtotal = memtotal / (1024*1024)
|
||||
gb_per_pod = memtotal/num_pods
|
||||
pod_per_gb = 1/gb_per_pod
|
||||
|
||||
# Memory usage stats.
|
||||
local_mems = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_Gb"=round(memtotal, 3),
|
||||
"avg_Gb"=round(gb_per_pod, 4),
|
||||
"n_per_Gb"=round(pod_per_gb, 2)
|
||||
)
|
||||
memstats=rbind(memstats, local_mems)
|
||||
|
||||
# cpu usage stats
|
||||
local_cpus = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_CPU"=round(cputotal, 3),
|
||||
"avg_CPU"=round(cputotal/num_pods, 4)
|
||||
)
|
||||
cpustats=rbind(cpustats, local_cpus)
|
||||
|
||||
# launch (boot) stats
|
||||
local_boots = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"median"=median(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"min"=min(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"max"=max(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"sd"=round(sd(na.omit(local_bootdata)$launch_time)/1000, 4)
|
||||
)
|
||||
|
||||
bootstats=rbind(bootstats, local_boots)
|
||||
|
||||
# inode stats
|
||||
local_inodes = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_inode"=round(inodetotal, 3),
|
||||
"avg_inode"=round(inodetotal/num_pods, 4)
|
||||
)
|
||||
inodestats=rbind(inodestats, local_inodes)
|
||||
|
||||
# And collect up our rows into our global table of all results
|
||||
# These two tables *should* be the source of all the data we need to
|
||||
# process and plot (apart from the stats....)
|
||||
bootdata=rbind(bootdata, local_bootdata, make.row.names=FALSE)
|
||||
nodedata=rbind(nodedata, local_nodedata, make.row.names=FALSE)
|
||||
}
|
||||
|
||||
num_pods = local_bootdata$n_pods[length(local_bootdata$n_pods)]
|
||||
# We get data in Kb, but want the graphs in Gb.
|
||||
memtotal = memtotal / (1024*1024)
|
||||
gb_per_pod = memtotal/num_pods
|
||||
pod_per_gb = 1/gb_per_pod
|
||||
|
||||
# Memory usage stats.
|
||||
local_mems = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_Gb"=round(memtotal, 3),
|
||||
"avg_Gb"=round(gb_per_pod, 4),
|
||||
"n_per_Gb"=round(pod_per_gb, 2)
|
||||
)
|
||||
memstats=rbind(memstats, local_mems)
|
||||
|
||||
# cpu usage stats
|
||||
local_cpus = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_CPU"=round(cputotal, 3),
|
||||
"avg_CPU"=round(cputotal/num_pods, 4)
|
||||
)
|
||||
cpustats=rbind(cpustats, local_cpus)
|
||||
|
||||
# launch (boot) stats
|
||||
local_boots = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"median"=median(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"min"=min(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"max"=max(na.omit(local_bootdata)$launch_time)/1000,
|
||||
"sd"=round(sd(na.omit(local_bootdata)$launch_time)/1000, 4)
|
||||
)
|
||||
|
||||
bootstats=rbind(bootstats, local_boots)
|
||||
|
||||
# inode stats
|
||||
local_inodes = c(
|
||||
"Test"=testname,
|
||||
"n"=num_pods,
|
||||
"Tot_inode"=round(inodetotal, 3),
|
||||
"avg_inode"=round(inodetotal/num_pods, 4)
|
||||
)
|
||||
inodestats=rbind(inodestats, local_inodes)
|
||||
}
|
||||
|
||||
# And collect up our rows into our global table of all results
|
||||
# These two tables *should* be the source of all the data we need to
|
||||
# process and plot (apart from the stats....)
|
||||
bootdata=rbind(bootdata, local_bootdata, make.row.names=FALSE)
|
||||
nodedata=rbind(nodedata, local_nodedata, make.row.names=FALSE)
|
||||
}
|
||||
|
||||
# Check if we got any stats at all by checking the memstats data. If we found no data,
|
||||
# abort early and nicely
|
||||
if ( length(memstats) == 0 ) {
|
||||
cat("No results files found for scaling tests\n\n")
|
||||
return()
|
||||
}
|
||||
|
||||
# It's nice to show the graphs in Gb, at least for any decent sized test
|
||||
# run, so make a new column with that pre-divided data in it for us to use.
|
||||
nodedata$mem_free_gb = nodedata$mem_free/(1024*1024)
|
||||
nodedata$mem_used_gb = nodedata$mem_used/(1024*1024)
|
||||
# And show the boot times in seconds, not mS
|
||||
bootdata$launch_time_s = bootdata$launch_time/1000
|
||||
|
||||
# The labels get messed up by us using an 'if' in the aes() - correct it by
|
||||
# using the same 'if' to assign what we really want to use for the labels.
|
||||
colour_label=(if(length(resultdirs)> 1) "testname" else "node")
|
||||
|
||||
|
||||
########## Output memory page ##############
|
||||
mem_stats_plot = suppressWarnings(ggtexttable(data.frame(memstats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
mem_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
mem_free_gb,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("System Avail (Gb)") +
|
||||
scale_y_continuous(labels=comma) +
|
||||
ggtitle("System Memory free") +
|
||||
theme(legend.position="bottom") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page1 = grid.arrange(
|
||||
mem_line_plot,
|
||||
mem_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output cpu page ##############
|
||||
cpu_stats_plot = suppressWarnings(ggtexttable(data.frame(cpustats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
cpu_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
idle,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("System CPU Idle (%)") +
|
||||
ggtitle("System CPU usage") +
|
||||
theme(legend.position="bottom") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page2 = grid.arrange(
|
||||
cpu_line_plot,
|
||||
cpu_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output boot page ##############
|
||||
boot_stats_plot = suppressWarnings(ggtexttable(data.frame(bootstats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
boot_line_plot <- ggplot() +
|
||||
geom_line( data=bootdata, aes(n_pods, launch_time_s, colour=testname, group=testname), alpha=0.2) +
|
||||
geom_point( data=bootdata, aes(n_pods, launch_time_s, colour=interaction(testname, node), group=testname), alpha=0.6, size=0.6, stroke=0, shape=16) +
|
||||
xlab("pods") +
|
||||
ylab("Boot time (s)") +
|
||||
ggtitle("Pod boot time") +
|
||||
theme(legend.position="bottom") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page3 = grid.arrange(
|
||||
boot_line_plot,
|
||||
boot_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output inode page ##############
|
||||
inode_stats_plot = suppressWarnings(ggtexttable(data.frame(inodestats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
inode_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
inode_free,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("inodes free") +
|
||||
scale_y_continuous(labels=comma) +
|
||||
ggtitle("inodes free") +
|
||||
theme(legend.position="bottom") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page4 = grid.arrange(
|
||||
inode_line_plot,
|
||||
inode_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
}
|
||||
|
||||
# It's nice to show the graphs in Gb, at least for any decent sized test
|
||||
# run, so make a new column with that pre-divided data in it for us to use.
|
||||
nodedata$mem_free_gb = nodedata$mem_free/(1024*1024)
|
||||
nodedata$mem_used_gb = nodedata$mem_used/(1024*1024)
|
||||
# And show the boot times in seconds, not mS
|
||||
bootdata$launch_time_s = bootdata$launch_time/1000
|
||||
|
||||
# The labels get messed up by us using an 'if' in the aes() - correct it by
|
||||
# using the same 'if' to assign what we really want to use for the labels.
|
||||
colour_label=(if(length(resultdirs)> 1) "testname" else "node")
|
||||
|
||||
|
||||
########## Output memory page ##############
|
||||
mem_stats_plot = suppressWarnings(ggtexttable(data.frame(memstats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
mem_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
mem_free_gb,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("System Avail (Gb)") +
|
||||
scale_y_continuous(labels=comma) +
|
||||
ggtitle("System Memory free") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page1 = grid.arrange(
|
||||
mem_line_plot,
|
||||
mem_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output cpu page ##############
|
||||
cpu_stats_plot = suppressWarnings(ggtexttable(data.frame(cpustats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
cpu_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
idle,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("System CPU Idle (%)") +
|
||||
ggtitle("System CPU usage") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page2 = grid.arrange(
|
||||
cpu_line_plot,
|
||||
cpu_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output boot page ##############
|
||||
boot_stats_plot = suppressWarnings(ggtexttable(data.frame(bootstats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
boot_line_plot <- ggplot() +
|
||||
geom_line( data=bootdata, aes(n_pods, launch_time_s, colour=testname, group=testname), alpha=0.2) +
|
||||
geom_point( data=bootdata, aes(n_pods, launch_time_s, colour=interaction(testname, node), group=testname), alpha=0.6, size=0.6, stroke=0, shape=16) +
|
||||
xlab("pods") +
|
||||
ylab("Boot time (s)") +
|
||||
ggtitle("Pod boot time") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page3 = grid.arrange(
|
||||
boot_line_plot,
|
||||
boot_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
|
||||
# pagebreak, as the graphs overflow the page otherwise
|
||||
cat("\n\n\\pagebreak\n")
|
||||
|
||||
########## Output inode page ##############
|
||||
inode_stats_plot = suppressWarnings(ggtexttable(data.frame(inodestats),
|
||||
theme=ttheme(base_size=10),
|
||||
rows=NULL
|
||||
))
|
||||
|
||||
inode_line_plot <- ggplot(data=nodedata, aes(n_pods,
|
||||
inode_free,
|
||||
colour=(if (length(resultdirs) > 1) testname else node),
|
||||
group=interaction(testname, node))) +
|
||||
labs(colour=colour_label) +
|
||||
geom_line(alpha=0.2) +
|
||||
geom_point(aes(shape=node), alpha=0.3, size=0.5) +
|
||||
xlab("pods") +
|
||||
ylab("inodes free") +
|
||||
scale_y_continuous(labels=comma) +
|
||||
ggtitle("inodes free") +
|
||||
theme(axis.text.x=element_text(angle=90))
|
||||
|
||||
page4 = grid.arrange(
|
||||
inode_line_plot,
|
||||
inode_stats_plot,
|
||||
ncol=1
|
||||
)
|
||||
render_tidy_scaling()
|
||||
|
||||
@@ -0,0 +1,118 @@
|
||||
# Scaling metrics tests
|
||||
|
||||
This directory contains a number of scripts to perform a variety of system scaling tests.
|
||||
|
||||
The tests are described in their individual sections below.
|
||||
|
||||
Each test has a number of configurable options. Many of those options are common across all tests.
|
||||
Those options are detailed in their own section below.
|
||||
|
||||
> **Note:** `k8s_scale_rapid.sh` is the most complete and upto date test. It is the only test to
|
||||
> currently use the `collectd` data collection method. Other tests use a privileged container to
|
||||
> gather statistics.
|
||||
>
|
||||
> If you find one of the other tests useful, please consider updating it and the corresponding report
|
||||
> generation code to use the `collectd` method and send a Pull Request with your updates to this codebase.
|
||||
|
||||
## Global test configuration options
|
||||
|
||||
The following variables are settable for many of the tests. Check each individual tests help
|
||||
for specifics and their individual default values.
|
||||
|
||||
| Variable | Default Value | Description |
|
||||
| -------- | ------------- | ----------- |
|
||||
| TEST_NAME | test dependant | Can be set to over-ride the default JSON results filename |
|
||||
| NUM_PODS | 20 | Number of pods to launch |
|
||||
| STEP | 1 | Number of pods to launch per cycle |
|
||||
| wait_time | 30 | Seconds to wait for pods to become ready |
|
||||
| delete_wait_time | 600 | Seconds to wait for all pods to be deleted |
|
||||
| settle_time | 5 | Seconds to wait after pods ready before taking measurements |
|
||||
| use_api | yes | specify yes or no to use the JSON API to launch pods (otherwise, launch via YAML) |
|
||||
| grace | 30 | specify the grace period in seconds for workload pod termination |
|
||||
| RUNTIME | unset | specify the `RuntimeClass` to use to launch the pods |
|
||||
|
||||
## k8s_parallel.sh
|
||||
|
||||
Measures pod create and delete times whilst increasing the number of pods launched in parallel.
|
||||
|
||||
The test works by creating and destroying deployments with the required number of replicas being scaled.
|
||||
|
||||
## k8s_scale_nc.sh
|
||||
|
||||
Measures pod response time using `nc` to test network connection response. Stores results as percentile
|
||||
values. Is used to see if the response time latency and jitter is affected by scaling the number of pods.
|
||||
|
||||
## k8s_scale_net.sh
|
||||
|
||||
Measures pod response time to a `curl` HTTP get request from the K8S e2e `agnhost` image.
|
||||
Used to measure if the 'ready to respond' time scales with the number of service ports in use.
|
||||
|
||||
## k8s_scale_rapid.sh
|
||||
|
||||
Measures how pod launch and the k8s system scales whilst launching more and more pods.
|
||||
|
||||
Uses the `collectd` method to gather a number of statistics, including:
|
||||
|
||||
- cpu usage
|
||||
- memory usage
|
||||
- network connections
|
||||
- disk usage
|
||||
- ipc stats
|
||||
|
||||
## k8s_scale.sh
|
||||
|
||||
The fore-runner to `k8s_scale_rapid.sh`, using the privileged pod method to gather statistics. It is recommended
|
||||
to use `k8s_scale_rapid.sh` in preference if possible.
|
||||
|
||||
# Example
|
||||
|
||||
Below is a brief example of running the `k8s_scale_rapid.sh` test and generating a report from the results.
|
||||
|
||||
1. Run the test
|
||||
|
||||
The test will run against the default `kubectl` configured cluster.
|
||||
```sh
|
||||
$ ./scaling/k8s_scale.sh
|
||||
```
|
||||
|
||||
Results are stored in the `results` directory. The results will comprise of one `JSON` file for the test, and
|
||||
one `.tar.gz` file for each node found in the cluster.
|
||||
|
||||
> **Note:** Only the `collectd` based tests generate `.tar.gz` files. All other tests only generate a single
|
||||
> `JSON` file for each run.
|
||||
|
||||
1. Move the results files
|
||||
|
||||
In order to generate the report, the results files should be moved into an appropriately named sub-directory.
|
||||
The report generator can process and compare multiple sets of results. Each set of results should be placed
|
||||
into its own sub-directory. The below example uses the name `run1` as an example:
|
||||
|
||||
```sh
|
||||
$ cd results
|
||||
$ mkdir run1
|
||||
$ mv *.json run1
|
||||
$ mv *.tar.gz run1
|
||||
```
|
||||
|
||||
This sequence can be repeated to gather multiple test data sets. Place each data set in its own subdirectory.
|
||||
The report generator will process and compare all data set subdirectories found in the `results` directory.
|
||||
|
||||
1. Generate the report
|
||||
|
||||
The report generator in the `report` subdirectory processes the sub-directories of the `results` directory
|
||||
to produce a `PDF` report and individual `PNG` based graphs.. The report generator utilises `docker` to create
|
||||
a docker image containing all the tooling necessary.
|
||||
|
||||
```sh
|
||||
$ cd report
|
||||
$ ./makereport.sh
|
||||
...
|
||||
$ tree output
|
||||
output/
|
||||
├── dut-1.png
|
||||
├── metrics_report.pdf
|
||||
├── scaling-1.png
|
||||
├── scaling-2.png
|
||||
├── scaling-3.png
|
||||
└── scaling-4.png
|
||||
```
|
||||
@@ -13,6 +13,7 @@ deployment="busybox"
|
||||
stats_pod="stats"
|
||||
|
||||
NUM_PODS=${NUM_PODS:-20}
|
||||
NUM_DEPLOYMENTS=${NUM_DEPLOYMENTS:-20}
|
||||
STEP=${STEP:-1}
|
||||
|
||||
LABEL=${LABEL:-magiclabel}
|
||||
@@ -24,6 +25,8 @@ delete_wait_time=${delete_wait_time:-600}
|
||||
settle_time=${settle_time:-5}
|
||||
use_api=${use_api:-yes}
|
||||
grace=${grace:-30}
|
||||
proc_wait_time=${proc_wait_time:-20}
|
||||
proc_sleep_time=2
|
||||
|
||||
declare -a new_pods
|
||||
declare -A node_basemem
|
||||
|
||||
@@ -126,14 +126,10 @@ init() {
|
||||
# a nice way to do it (unless you want to parse 'descibe nodes')
|
||||
# Have a read of https://github.com/kubernetes/kubernetes/issues/25353
|
||||
|
||||
k8s_api_init
|
||||
framework_init
|
||||
|
||||
# Ensure we pre-cache the container image etc.
|
||||
warmup
|
||||
|
||||
# And now we can set up our results storage then...
|
||||
metrics_json_init "k8s"
|
||||
save_config
|
||||
}
|
||||
|
||||
save_config(){
|
||||
@@ -218,11 +214,8 @@ cleanup() {
|
||||
|
||||
# First try to save any results we got
|
||||
metrics_json_end_array "BootResults"
|
||||
metrics_json_save
|
||||
|
||||
kill_deployment "${deployment}" "${LABEL}" "${LABELVALUE}" ${delete_wait_time}
|
||||
|
||||
k8s_api_shutdown
|
||||
framework_shutdown
|
||||
}
|
||||
|
||||
show_vars()
|
||||
|
||||
@@ -169,7 +169,7 @@ EOF
|
||||
if [ $n_pods -eq 0 ]; then
|
||||
local pods_per_gb=0
|
||||
else
|
||||
local pods_per_gb=$(bc -l <<< "scale=2; ($total_mem_used/1024) / $n_pods")
|
||||
local pods_per_gb=$(printf "%0f" $(bc -l <<< "scale=2; ($total_mem_used/1024) / $n_pods"))
|
||||
fi
|
||||
local mem_json="$(cat << EOF
|
||||
"memory": {
|
||||
@@ -209,7 +209,7 @@ init() {
|
||||
# FIXME - check the node(s) can run enough pods - check 'max-pods' in the
|
||||
# kubelet config - from 'kubectl describe node -o json' ?
|
||||
|
||||
k8s_api_init
|
||||
framework_init
|
||||
|
||||
# Launch our stats gathering pod
|
||||
kubectl apply -f ${SCRIPT_PATH}/${stats_pod}.yaml
|
||||
@@ -218,10 +218,6 @@ init() {
|
||||
# FIXME - we should probably 'warm up' the cluster with the container image(s) we will
|
||||
# use for testing, otherwise the download time will likely be included in the first pod
|
||||
# boot time.
|
||||
|
||||
# And now we can set up our results storage then...
|
||||
metrics_json_init "k8s"
|
||||
save_config
|
||||
}
|
||||
|
||||
save_config(){
|
||||
@@ -347,9 +343,7 @@ EOF
|
||||
)"
|
||||
|
||||
metrics_json_add_fragment "$json"
|
||||
metrics_json_save
|
||||
|
||||
k8s_api_shutdown
|
||||
framework_shutdown
|
||||
}
|
||||
|
||||
show_vars()
|
||||
|
||||
@@ -195,7 +195,7 @@ EOF
|
||||
if [ $n_pods -eq 0 ]; then
|
||||
local pods_per_gb=0
|
||||
else
|
||||
local pods_per_gb=$(bc -l <<< "scale=2; ($total_mem_used/1024) / $n_pods")
|
||||
local pods_per_gb=$(printf "%0f" $(bc -l <<< "scale=2; ($total_mem_used/1024) / $n_pods"))
|
||||
fi
|
||||
local mem_json="$(cat << EOF
|
||||
"memory": {
|
||||
@@ -235,7 +235,7 @@ init() {
|
||||
# FIXME - check the node(s) can run enough pods - check 'max-pods' in the
|
||||
# kubelet config - from 'kubectl describe node -o json' ?
|
||||
|
||||
k8s_api_init
|
||||
framework_init
|
||||
|
||||
# Launch our stats gathering pod
|
||||
kubectl apply -f ${SCRIPT_PATH}/${stats_pod}.yaml
|
||||
@@ -244,10 +244,6 @@ init() {
|
||||
# FIXME - we should probably 'warm up' the cluster with the container image(s) we will
|
||||
# use for testing, otherwise the download time will likely be included in the first pod
|
||||
# boot time.
|
||||
|
||||
# And now we can set up our results storage then...
|
||||
metrics_json_init "k8s"
|
||||
save_config
|
||||
}
|
||||
|
||||
save_config(){
|
||||
@@ -410,9 +406,7 @@ EOF
|
||||
)"
|
||||
|
||||
metrics_json_add_fragment "$json"
|
||||
metrics_json_save
|
||||
|
||||
k8s_api_shutdown
|
||||
framework_shutdown
|
||||
}
|
||||
|
||||
show_vars()
|
||||
|
||||
Executable
+285
@@ -0,0 +1,285 @@
|
||||
#!/bin/bash
|
||||
# Copyright (c) 2019 Intel Corporation
|
||||
#
|
||||
# SPDX-License-Identifier: Apache-2.0
|
||||
#
|
||||
|
||||
set -e
|
||||
|
||||
# Pull in some common, useful, items
|
||||
SCRIPT_PATH=$(dirname "$(readlink -f "$0")")
|
||||
source "${SCRIPT_PATH}/../lib/common.bash"
|
||||
source "${SCRIPT_PATH}/common.bash"
|
||||
|
||||
LABELVALUE=${LABELVALUE:-scale_net}
|
||||
|
||||
# Set some default metrics env vars
|
||||
TEST_ARGS="runtime=${RUNTIME}"
|
||||
TEST_NAME="k8s scaling net"
|
||||
input_yaml="${SCRIPT_PATH}/net-serve.yaml.in"
|
||||
input_json="${SCRIPT_PATH}/net-serve.json.in"
|
||||
name_base_depl="net-serve"
|
||||
|
||||
# $1 is the launch time in seconds this pod/container took to start up.
|
||||
# $2 is the number of pod/containers under test
|
||||
# $3 is the time to pod network measure
|
||||
grab_stats(){
|
||||
local launch_time_ms=$1
|
||||
local n_pods=$2
|
||||
local net_time=$3
|
||||
|
||||
info "And grab some stats"
|
||||
|
||||
local date_json="$(cat << EOF
|
||||
"date": {
|
||||
"ns": $(date +%s%N),
|
||||
"Date": "$(date -u +"%Y-%m-%dT%T.%3N")"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_fragment "$date_json"
|
||||
|
||||
local pods_json="$(cat << EOF
|
||||
"n_pods": {
|
||||
"Result": ${n_pods},
|
||||
"Units" : "int"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_fragment "$pods_json"
|
||||
|
||||
local time_to_pod_net_json="$(cat << EOF
|
||||
"time_to_pod_net": {
|
||||
"Result": ${net_time},
|
||||
"Units" : "ms"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_fragment "$time_to_pod_net_json"
|
||||
|
||||
local launch_json="$(cat << EOF
|
||||
"launch_time": {
|
||||
"Result": $launch_time_ms,
|
||||
"Units" : "ms"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_fragment "$launch_json"
|
||||
|
||||
info "launch [$launch_time_ms]"
|
||||
|
||||
metrics_json_close_array_element
|
||||
}
|
||||
|
||||
init() {
|
||||
info "Initialising"
|
||||
|
||||
local cmds=("bc" "jq")
|
||||
check_cmds "${cmds[@]}"
|
||||
|
||||
info "Checking Kubernetes accessible"
|
||||
local worked=$( kubectl get nodes > /dev/null 2>&1 && echo $? || echo $? )
|
||||
if [ "$worked" != 0 ]; then
|
||||
die "kubectl failed to get nodes"
|
||||
fi
|
||||
|
||||
info $(get_num_nodes) "Kubernetes nodes in 'Ready' state found"
|
||||
|
||||
framework_init
|
||||
}
|
||||
|
||||
save_config() {
|
||||
metrics_json_start_array
|
||||
|
||||
local json="$(cat << EOF
|
||||
{
|
||||
"testname": "${TEST_NAME}",
|
||||
"NUM_DEPLOYMENTS": ${NUM_DEPLOYMENTS},
|
||||
"STEP": ${STEP},
|
||||
"wait_time": ${wait_time},
|
||||
"delete_wait_time": ${delete_wait_time},
|
||||
"settle_time": ${settle_time}
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
metrics_json_add_array_element "$json"
|
||||
metrics_json_end_array "Config"
|
||||
}
|
||||
|
||||
run() {
|
||||
info "Running test"
|
||||
local header_post="Content-Type: application/json"
|
||||
local base_curl=${API_ADDRESS}:${API_PORT}/apis/apps/v1/namespaces/default/deployments
|
||||
|
||||
trap cleanup EXIT QUIT KILL
|
||||
|
||||
metrics_json_start_array
|
||||
|
||||
for reqs in $(seq ${STEP} ${STEP} ${NUM_DEPLOYMENTS}); do
|
||||
local deployment="${name_base_depl}${reqs}"
|
||||
info "Testing replicas ${reqs} of ${NUM_DEPLOYMENTS}"
|
||||
# Generate the next yaml file
|
||||
|
||||
local runtime_command
|
||||
if [ -n "$RUNTIME" ]; then
|
||||
runtime_command="s|@RUNTIMECLASS@|${RUNTIME}|g"
|
||||
else
|
||||
runtime_command="/@RUNTIMECLASS@/d"
|
||||
fi
|
||||
|
||||
local input_template
|
||||
local generated_file
|
||||
if [ "$use_api" != "no" ]; then
|
||||
input_template=$input_json
|
||||
generated_file=$generated_json
|
||||
else
|
||||
input_template=$input_yaml
|
||||
generated_file=$generated_yaml
|
||||
fi
|
||||
|
||||
sed -e $runtime_command \
|
||||
-e "s|@DEPLOYMENT@|${deployment}|g" \
|
||||
-e "s|@LABEL@|${LABEL}|g" \
|
||||
-e "s|@LABELVALUE@|${LABELVALUE}|g" \
|
||||
-e "s|@GRACE@|${grace}|g" \
|
||||
< ${input_template} > ${generated_file}
|
||||
|
||||
info "Applying changes"
|
||||
local start_time=$(date +%s%N)
|
||||
|
||||
if [ "$use_api" != "no" ]; then
|
||||
curl -s ${base_curl} -XPOST -H "${header_post}" -d@${generated_file} > /dev/null
|
||||
else
|
||||
kubectl apply -f ${generated_file}
|
||||
fi
|
||||
|
||||
kubectl rollout status --timeout=${wait_time}s deployment/${deployment}
|
||||
kubectl expose --port=8080 deployment $deployment
|
||||
|
||||
# Check service exposed
|
||||
cmd="kubectl get services $deployment -n default --no-headers=true"
|
||||
waitForProcess "$proc_wait_time" "$proc_sleep_time" "$cmd" "Waiting for service"
|
||||
|
||||
IP=$(kubectl get services $deployment -n default --no-headers=true | awk '{printf $3}')
|
||||
end_net=$(date +%s%N)
|
||||
info "IP: $IP"
|
||||
|
||||
# service health check
|
||||
cmd="curl --noproxy \"*\" http://$IP:8080/healthz"
|
||||
waitForProcess "$proc_wait_time" "$proc_sleep_time" "$cmd" "http server is not ready yet!!"
|
||||
|
||||
RESP=$(curl -s --noproxy "*" http://$IP:8080/echo?msg=curl%20request%20to%20$deployment)
|
||||
local end_time=$(date +%s%N)
|
||||
info "http reply: $RESP"
|
||||
|
||||
local total_milliseconds=$(( (end_time - start_time) / 1000000 ))
|
||||
local net_diff=$(( (end_net - start_time) / 1000000 ))
|
||||
info "Took $total_milliseconds ms ($end_time - $start_time)"
|
||||
info "Net took $net_diff ms"
|
||||
|
||||
kubectl delete service $deployment
|
||||
if [ $? -ne 0 ]; then
|
||||
echo "kubectl delete service failed"
|
||||
exit
|
||||
fi
|
||||
|
||||
sleep ${settle_time}
|
||||
grab_stats $total_milliseconds $reqs $net_diff
|
||||
done
|
||||
}
|
||||
|
||||
cleanup() {
|
||||
info "Cleaning up"
|
||||
|
||||
# First try to save any results we got
|
||||
metrics_json_end_array "BootResults"
|
||||
|
||||
local start_time=$(date +%s%N)
|
||||
|
||||
for reqs in $(seq ${STEP} ${STEP} ${NUM_DEPLOYMENTS}); do
|
||||
local deployment="${name_base_depl}${reqs}"
|
||||
kubectl delete deployment --wait=true --timeout=${delete_wait_time}s ${deployment} || true
|
||||
done
|
||||
|
||||
for x in $(seq 1 ${delete_wait_time}); do
|
||||
local npods=$(kubectl get pods -l=${LABEL}=${LABELVALUE} -o=name | wc -l)
|
||||
if [ $npods -eq 0 ]; then
|
||||
echo "All pods have terminated at cycle $x"
|
||||
local alldied=true
|
||||
break;
|
||||
fi
|
||||
sleep 1
|
||||
done
|
||||
|
||||
if [ -z "$alldied" ]; then
|
||||
echo "ERROR: Not all pods died!"
|
||||
fi
|
||||
|
||||
local end_time=$(date +%s%N)
|
||||
local total_milliseconds=$(( (end_time - start_time) / 1000000 ))
|
||||
info "Delete Took $total_milliseconds ms ($end_time - $start_time)"
|
||||
|
||||
local json="$(cat << EOF
|
||||
"Delete": {
|
||||
"Result": ${total_milliseconds},
|
||||
"Units" : "ms"
|
||||
}
|
||||
EOF
|
||||
)"
|
||||
|
||||
metrics_json_add_fragment "$json"
|
||||
framework_shutdown
|
||||
}
|
||||
|
||||
show_vars() {
|
||||
echo -e "\nEnvironment variables:"
|
||||
echo -e "\tName (default)"
|
||||
echo -e "\t\tDescription"
|
||||
echo -e "\tNUM_DEPLOYMENTS (${NUM_DEPLOYMENTS})"
|
||||
echo -e "\t\tNumber of deployments to launch"
|
||||
echo -e "\tSTEP (${STEP})"
|
||||
echo -e "\t\tNumber of pods to launch per cycle"
|
||||
echo -e "\twait_time (${wait_time})"
|
||||
echo -e "\t\tSeconds to wait for pods to become ready"
|
||||
echo -e "\tproc_wait_time (${proc_wait_time})"
|
||||
echo -e "\t\tSeconds to wait for net server process to become ready"
|
||||
echo -e "\tdelete_wait_time (${delete_wait_time})"
|
||||
echo -e "\t\tSeconds to wait for all pods to be deleted"
|
||||
echo -e "\tsettle_time (${settle_time})"
|
||||
echo -e "\t\tSeconds to wait after pods ready before taking measurements"
|
||||
echo -e "\tuse_api (${use_api})"
|
||||
echo -e "\t\tspecify yes or no to use the API to launch pods"
|
||||
echo -e "\tgrace (${grace})"
|
||||
echo -e "\t\tspecify the grace period in seconds for workload pod termination"
|
||||
}
|
||||
|
||||
help() {
|
||||
usage=$(cat << EOF
|
||||
Usage: $0 [-h] [options]
|
||||
Description:
|
||||
Launch a series of workloads and take time to pod network metric measurements after
|
||||
each launch.
|
||||
Options:
|
||||
-h, Help page.
|
||||
EOF
|
||||
)
|
||||
echo "$usage"
|
||||
show_vars
|
||||
}
|
||||
|
||||
main() {
|
||||
local OPTIND
|
||||
while getopts "h" opt;do
|
||||
case ${opt} in
|
||||
h)
|
||||
help
|
||||
exit 0;
|
||||
;;
|
||||
esac
|
||||
done
|
||||
shift $((OPTIND-1))
|
||||
init
|
||||
run
|
||||
}
|
||||
|
||||
main "$@"
|
||||
@@ -15,6 +15,8 @@ source "${SCRIPT_PATH}/../collectd/collectd.bash"
|
||||
NUM_PODS=${NUM_PODS:-20}
|
||||
STEP=${STEP:-1}
|
||||
|
||||
SMF_USE_COLLECTD=true
|
||||
|
||||
LABELVALUE=${LABELVALUE:-gandalf}
|
||||
|
||||
pod_command="[\"tail\", \"-f\", \"/dev/null\"]"
|
||||
@@ -64,27 +66,7 @@ EOF
|
||||
}
|
||||
|
||||
init() {
|
||||
info "Initialising"
|
||||
|
||||
local cmds=("bc" "jq")
|
||||
check_cmds "${cmds[@]}"
|
||||
|
||||
info "Checking k8s accessible"
|
||||
local worked=$( kubectl get nodes > /dev/null 2>&1 && echo $? || echo $? )
|
||||
if [ "$worked" != 0 ]; then
|
||||
die "kubectl failed to get nodes"
|
||||
fi
|
||||
|
||||
info $(get_num_nodes) "k8s nodes in 'Ready' state found"
|
||||
|
||||
k8s_api_init
|
||||
|
||||
# Launch our stats gathering pod
|
||||
init_stats $wait_time
|
||||
|
||||
# And now we can set up our results storage then...
|
||||
metrics_json_init "k8s"
|
||||
save_config
|
||||
framework_init
|
||||
}
|
||||
|
||||
save_config(){
|
||||
@@ -198,11 +180,7 @@ EOF
|
||||
)"
|
||||
|
||||
metrics_json_add_fragment "$json"
|
||||
metrics_json_save
|
||||
|
||||
cleanup_stats $delete_wait_time
|
||||
|
||||
k8s_api_shutdown
|
||||
framework_shutdown
|
||||
}
|
||||
|
||||
show_vars()
|
||||
|
||||
@@ -0,0 +1,40 @@
|
||||
{
|
||||
"apiVersion": "apps/v1",
|
||||
"kind": "Deployment",
|
||||
"metadata": {
|
||||
"labels": {
|
||||
"run": "net-serve"
|
||||
},
|
||||
"name": "@DEPLOYMENT@"
|
||||
},
|
||||
"spec": {
|
||||
"replicas": 1,
|
||||
"selector": {
|
||||
"matchLabels": {
|
||||
"run": "net-serve"
|
||||
}
|
||||
},
|
||||
"template": {
|
||||
"metadata": {
|
||||
"labels": {
|
||||
"run": "net-serve",
|
||||
"@LABEL@": "@LABELVALUE@"
|
||||
}
|
||||
},
|
||||
"spec": {
|
||||
"terminationGracePeriodSeconds": @GRACE@,
|
||||
"runtimeClassName": "@RUNTIMECLASS@",
|
||||
"automountServiceAccountToken": false,
|
||||
"containers": [{
|
||||
"name": "net-serve",
|
||||
"image": "gcr.io/kubernetes-e2e-test-images/agnhost:2.8",
|
||||
"imagePullPolicy": "IfNotPresent",
|
||||
"args": [
|
||||
"netexec"
|
||||
]
|
||||
}],
|
||||
"restartPolicy": "Always"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,27 @@
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
metadata:
|
||||
labels:
|
||||
run: net-serve
|
||||
name: @DEPLOYMENT@
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
matchLabels:
|
||||
run: net-serve
|
||||
template:
|
||||
metadata:
|
||||
labels:
|
||||
run: net-serve
|
||||
@LABEL@: @LABELVALUE@
|
||||
spec:
|
||||
terminationGracePeriodSeconds: @GRACE@
|
||||
runtimeClassName: @RUNTIMECLASS@
|
||||
automountServiceAccountToken: false
|
||||
containers:
|
||||
- name: net-serve
|
||||
image: gcr.io/kubernetes-e2e-test-images/agnhost:2.8
|
||||
imagePullPolicy: IfNotPresent
|
||||
args:
|
||||
- netexec
|
||||
restartPolicy: Always
|
||||
Reference in New Issue
Block a user