3. Results of measuring performance of Kargo¶

Abstract

This document includes performance test results of Kargo as for Kubernetes deployment solution. All tests have been performed regarding Measuring performance of Kargo.

Kargo sets up Kubernetes in the following way:

master: Calico, Kubernetes API services
minion: Calico, Kubernetes minion services
etcd: etcd service

Kargo deploys Kubernetes cluster with the following matching hostnames and roles:

node1: minion+master+etcd
node2: minion+master+etcd
node3: minion+etcd
all other nodes: minion

3.1. Environment description¶

3.1.1. Hardware configuration of each server¶

Description of servers hardware¶
server	name	node-{1..500}	node-{1..500}
	role	kubernetes cluster	kubernetes cluster
	vendor,model	Dell, R630	Lenovo, RD550-1U
	operating_system	4.4.0-36-generic Ubuntu-xenial x86_64	4.4.0-36-generic Ubuntu-xenial x86_64
CPU	vendor,model	Intel, E5-2680v3	Intel, E5-2680 v3
	processor_count	2	2
	core_count	12	12
	frequency_MHz	2500	2500
RAM	vendor,model	Hynix HMA42GR7MFR4N-TF	Samsung M393A2G40DB0-CPB
RAM	amount_MB	262144	262144
NETWORK	interface_name	bond0	bond0
	vendor,model	Intel, X710 Dual Port	Intel, X710 Dual Port
	interfaces_count	2	2
	bandwidth	10G	10G
STORAGE	dev_name	/dev/sda	/dev/sda
	vendor,model	raid1 PERC H730P Mini 2 disks Intel S3610	raid1 MegaRAID 3108 2 disks Intel S3610
	SSD/HDD	SSD	SSD
	size	800GB	800GB

3.1.2. Network scheme and part of configuration of hardware network switches¶

Network scheme of the environment:

Here is the piece of switch configuration for each switch port which is a part of bond0 interface of a server:

show run int et1 interface Ethernet1

description - r02r13c33 switchport trunk native vlan 4 switchport trunk allowed vlan 4 switchport mode trunk channel-group 133 mode active lacp port-priority 16384 spanning-tree portfast

show run int po1 interface Port-Channel1

description osscr02r13c21 switchport trunk native vlan 131 switchport trunk allowed vlan 130-159 switchport mode trunk port-channel lacp fallback static port-channel lacp fallback timeout 30 mlag 1

3.1.3. Software configuration of Kargo¶

3.1.3.1. Setting up Kargo:¶

Kargo installation was performed on the bare metal Ubuntu Xenial servers. Kargo requires dedicated user (not root) to exist on the target nodes. To configure and launch Kargo section Launcher script has been used.

Versions of some software¶
Software	Version
Ubuntu	Ubuntu 16.04.1 LTS
fuel-ccp-installer	6b26170f70e523fb04bda8d6f15077d461fba9de
kargo	016b7893c64fede07269c01cac31e96c8ee0d257

3.1.3.2. Test tool:¶

We were using Dstat utility as main tool for collecting timing and system performarce durring tests. Script for parsing collected metrics was used to parse performance metrics after installation tests.

3.1.3.3. Operating system configuration:¶

You can find /etc folder contents from the one of the target servers where K8S cluster was deployed: etc_tarball_of_node1

3.2. Testing process¶

Kargo launcher script was set up and executed on node1 server as described in Setting up Kargo: section.
During Kargo run dstat tool was launched on the node1 with the following options:

root@node1:~# dstat --nocolor --time --cpu --mem --net -N bond0 --io --output /root/dstat.csv

After finishing of Kargo run we parsed resulted “dstat.csv” files with Script for parsing collected metrics.

The above steps were repeated with the following numbers of nodes: 50,150,350

As a result of this part we got the following CSV files:

METRICS(NUMBER_OF_NODES=50)

METRICS(NUMBER_OF_NODES=150)

METRICS(NUMBER_OF_NODES=350)

3.3. Results¶

After simple processing results the following plots for performance metrics collected during provisioning of the nodes in depend on time created (click to expand an image):

Number of nodes	Plot CPU(TIME)	Plot RAM(TIME)
50
150
350

Number of nodes	Plot NET(TIME)	Plot DISK(TIME)
50
150
350

The following table shows how performance metrics and deployment time parameters depend on a number of nodes.

number of nodes	50	150	350
deployment time	2049.00	3922.00	13065.00
cpu_usage_max	99.0210	99.56	99.06
cpu_usage_min	0	0	0
cpu_usage_average	7.2920	10.03	12.63
cpu_usage_percentile 90%	19.6495	24.92	29.12
ram_usage_max	4466.10	13859.56	112079.57
ram_usage_min	1061.51	1033.32	1075.16
ram_usage_average	2121.20	4335.69	31288.94
ram_usage_percentile 90%	2876.33	8570.32	79915.96
net_all_max	3864760.75	20996615.75	60130883.88
net_all_min	0	0	0
net_all_average	70602.55	102913.32	177943.40
net_all_percentile 90%	253590.90	263933.25	180409.81
dsk_io_all_max	3503	3196	3470
dsk_io_all_min	0	0	0
dsk_io_all_average	26	37	56
dsk_io_all_percentile 90%	58	14	8

3.4. Issues that have been found during the tests¶

During the testing we’ve found several issues that prevented us from achieving test results at scale:

Issue	Link
etcd list sometimes hangs	https://github.com/kubespray/kargo/pull/448
K8S DNS services not working correctly	https://github.com/kubespray/kargo/pull/458
Calico creates extra pool during run	https://github.com/kubespray/kargo/pull/462
Timeout to quay.io to fetch etcd image	https://github.com/kubespray/kargo/pull/481
Downloading images doesn’t scale well	https://github.com/kubespray/kargo/pull/488
Kargo is too slow on scale	https://github.com/kubespray/kargo/issues/478

3.5. Applications¶

3.5.1. Launcher script¶

#!/bin/bash -xe

if [[ -d ./fuel-ccp-installer ]] ; then
    rm -rf ./fuel-ccp-installer
fi

git clone https://review.openstack.org/openstack/fuel-ccp-installer

export ENV_NAME="kargo-test"
export DEPLOY_METHOD="kargo"
export WORKSPACE="~/workspace"
export ADMIN_USER="vagrant"
export ADMIN_PASSWORD="kargo"

# for 50 nodes
#export SLAVES_COUNT=50
#export ADMIN_IP="10.3.58.66"
#export SLAVE_IPS="10.3.58.66 10.3.58.33 10.3.58.30 10.3.58.27 10.3.58.32 10.3.58.28 10.3.58.34 10.3.58.35 10.3.58.29 10.3.58.31 10.3.58.51 10.3.58.41 10.3.58.43 10.3.58.53 10.3.58.45 10.3.58.54 10.3.58.55 10.3.58.38 10.3.58.40 10.3.58.48 10.3.58.42 10.3.58.46 10.3.58.36 10.3.58.37 10.3.58.52 10.3.58.50 10.3.58.39 10.3.58.10 10.3.58.58 10.3.58.7 10.3.57.254 10.3.58.4 10.3.57.255 10.3.58.1 10.3.58.3 10.3.58.57 10.3.58.23 10.3.58.13 10.3.58.12 10.3.58.21 10.3.58.5 10.3.58.22 10.3.58.9 10.3.58.24 10.3.58.15 10.3.58.19 10.3.58.16 10.3.56.6 10.3.56.7 10.3.56.83"

# for 150 nodes:
#export SLAVES_COUNT=150
#export ADMIN_IP="10.3.56.3"
#export SLAVE_IPS="10.3.56.3 10.3.56.254 10.3.56.4 10.3.56.6 10.3.56.7 10.3.56.83 10.3.56.82 10.3.56.84 10.3.56.86 10.3.56.87 10.3.56.89 10.3.56.12 10.3.56.11 10.3.56.13 10.3.56.15 10.3.56.16 10.3.56.17 10.3.56.18 10.3.56.20 10.3.56.21 10.3.56.22 10.3.56.23 10.3.56.25 10.3.56.26 10.3.56.27 10.3.56.29 10.3.56.30 10.3.56.31 10.3.56.32 10.3.56.34 10.3.56.33 10.3.56.37 10.3.56.38 10.3.56.39 10.3.56.41 10.3.56.43 10.3.56.45 10.3.56.46 10.3.56.47 10.3.56.48 10.3.56.50 10.3.56.49 10.3.56.51 10.3.56.52 10.3.56.133 10.3.56.135 10.3.56.137 10.3.56.136 10.3.56.113 10.3.56.139 10.3.56.141 10.3.56.148 10.3.56.142 10.3.56.117 10.3.56.143 10.3.56.145 10.3.56.123 10.3.56.122 10.3.56.128 10.3.56.144 10.3.56.250 10.3.56.251 10.3.56.126 10.3.56.180 10.3.56.181 10.3.56.184 10.3.56.182 10.3.56.185 10.3.56.183 10.3.56.188 10.3.56.191 10.3.56.192 10.3.56.187 10.3.56.195 10.3.56.190 10.3.56.199 10.3.56.193 10.3.56.204 10.3.56.207 10.3.56.205 10.3.56.206 10.3.56.201 10.3.56.202 10.3.56.208 10.3.56.217 10.3.56.216 10.3.56.209 10.3.56.210 10.3.56.215 10.3.56.218 10.3.56.212 10.3.56.213 10.3.56.214 10.3.56.211 10.3.56.221 10.3.56.224 10.3.56.227 10.3.56.149 10.3.56.219 10.3.56.223 10.3.56.231 10.3.56.228 10.3.56.235 10.3.56.236 10.3.56.230 10.3.56.233 10.3.56.229 10.3.56.232 10.3.56.234 10.3.59.95 10.3.59.92 10.3.59.88 10.3.59.96 10.3.59.111 10.3.59.115 10.3.59.116 10.3.56.146 10.3.59.119 10.3.59.117 10.3.59.112 10.3.59.110 10.3.59.109 10.3.59.120 10.3.59.137 10.3.59.136 10.3.59.133 10.3.59.132 10.3.59.138 10.3.59.134 10.3.59.135 10.3.59.139 10.3.59.131 10.3.59.130 10.3.59.74 10.3.59.80 10.3.59.73 10.3.59.77 10.3.59.84 10.3.59.105 10.3.59.82 10.3.59.83 10.3.59.81 10.3.59.98 10.3.59.108 10.3.59.106 10.3.59.102 10.3.59.107 10.3.59.86 10.3.58.66 10.3.58.33"

# for 350 nodes:
#export SLAVES_COUNT=350
#export ADMIN_IP="10.3.56.3"
#export SLAVE_IPS="10.3.56.3 10.3.56.254 10.3.56.4 10.3.56.6 10.3.56.7 10.3.56.83 10.3.56.82 10.3.56.84 10.3.56.86 10.3.56.87 10.3.56.89 10.3.56.12 10.3.56.11 10.3.56.13 10.3.56.15 10.3.56.16 10.3.56.17 10.3.56.18 10.3.56.20 10.3.56.21 10.3.56.22 10.3.56.23 10.3.56.25 10.3.56.26 10.3.56.27 10.3.56.29 10.3.56.30 10.3.56.31 10.3.56.32 10.3.56.34 10.3.56.33 10.3.56.37 10.3.56.38 10.3.56.39 10.3.56.41 10.3.56.43 10.3.56.45 10.3.56.46 10.3.56.47 10.3.56.48 10.3.56.50 10.3.56.49 10.3.56.51 10.3.56.52 10.3.56.133 10.3.56.135 10.3.56.137 10.3.56.136 10.3.56.113 10.3.56.139 10.3.56.141 10.3.56.148 10.3.56.142 10.3.56.117 10.3.56.143 10.3.56.145 10.3.56.123 10.3.56.122 10.3.56.128 10.3.56.144 10.3.56.250 10.3.56.251 10.3.56.126 10.3.56.180 10.3.56.181 10.3.56.184 10.3.56.182 10.3.56.185 10.3.56.183 10.3.56.188 10.3.56.191 10.3.56.192 10.3.56.187 10.3.56.195 10.3.56.190 10.3.56.199 10.3.56.193 10.3.56.204 10.3.56.207 10.3.56.205 10.3.56.206 10.3.56.201 10.3.56.202 10.3.56.208 10.3.56.217 10.3.56.216 10.3.56.209 10.3.56.210 10.3.56.215 10.3.56.218 10.3.56.212 10.3.56.213 10.3.56.214 10.3.56.211 10.3.56.221 10.3.56.224 10.3.56.227 10.3.56.149 10.3.56.219 10.3.56.223 10.3.56.231 10.3.56.228 10.3.56.235 10.3.56.236 10.3.56.230 10.3.56.233 10.3.56.229 10.3.56.232 10.3.56.234 10.3.59.95 10.3.59.92 10.3.59.88 10.3.59.96 10.3.59.111 10.3.59.115 10.3.59.116 10.3.56.146 10.3.59.119 10.3.59.117 10.3.59.112 10.3.59.110 10.3.59.109 10.3.59.120 10.3.59.137 10.3.59.136 10.3.59.133 10.3.59.132 10.3.59.138 10.3.59.134 10.3.59.135 10.3.59.139 10.3.59.131 10.3.59.130 10.3.59.74 10.3.59.80 10.3.59.73 10.3.59.77 10.3.59.84 10.3.59.105 10.3.59.82 10.3.59.83 10.3.59.81 10.3.59.98 10.3.59.108 10.3.59.106 10.3.59.102 10.3.59.107 10.3.59.86 10.3.59.93 10.3.59.100 10.3.59.87 10.3.59.99 10.3.59.97 10.3.59.89 10.3.59.46 10.3.59.35 10.3.59.40 10.3.59.47 10.3.59.55 10.3.59.51 10.3.59.48 10.3.59.63 10.3.59.56 10.3.59.68 10.3.59.32 10.3.59.43 10.3.59.36 10.3.59.54 10.3.59.53 10.3.59.71 10.3.59.57 10.3.59.62 10.3.59.69 10.3.59.65 10.3.59.70 10.3.59.72 10.3.59.66 10.3.59.76 10.3.59.75 10.3.59.79 10.3.59.78 10.3.59.64 10.3.59.25 10.3.59.22 10.3.59.16 10.3.59.24 10.3.59.15 10.3.59.11 10.3.59.10 10.3.58.241 10.3.59.12 10.3.59.42 10.3.59.31 10.3.59.28 10.3.59.34 10.3.59.37 10.3.59.27 10.3.59.30 10.3.59.29 10.3.59.58 10.3.59.52 10.3.59.38 10.3.59.61 10.3.59.59 10.3.59.49 10.3.59.39 10.3.58.176 10.3.58.178 10.3.58.251 10.3.58.179 10.3.58.188 10.3.58.184 10.3.58.181 10.3.58.194 10.3.58.196 10.3.58.205 10.3.58.201 10.3.58.192 10.3.58.197 10.3.58.193 10.3.58.254 10.3.58.186 10.3.58.180 10.3.58.198 10.3.58.252 10.3.58.189 10.3.58.253 10.3.58.195 10.3.58.200 10.3.58.210 10.3.58.183 10.3.58.199 10.3.58.182 10.3.58.208 10.3.58.209 10.3.58.100 10.3.58.127 10.3.58.146 10.3.58.136 10.3.58.118 10.3.58.132 10.3.58.142 10.3.58.131 10.3.58.144 10.3.58.121 10.3.58.123 10.3.58.134 10.3.58.120 10.3.58.129 10.3.58.135 10.3.58.137 10.3.58.117 10.3.58.125 10.3.58.155 10.3.58.162 10.3.58.154 10.3.58.153 10.3.58.148 10.3.58.159 10.3.58.171 10.3.58.167 10.3.58.166 10.3.58.165 10.3.58.164 10.3.58.156 10.3.58.147 10.3.58.170 10.3.58.149 10.3.58.168 10.3.58.160 10.3.58.172 10.3.58.157 10.3.58.71 10.3.58.59 10.3.58.70 10.3.58.67 10.3.58.69 10.3.58.79 10.3.58.64 10.3.58.73 10.3.58.77 10.3.58.65 10.3.58.86 10.3.58.63 10.3.58.80 10.3.58.75 10.3.58.62 10.3.58.84 10.3.58.74 10.3.58.76 10.3.58.85 10.3.58.78 10.3.58.60 10.3.58.72 10.3.58.81 10.3.58.61 10.3.58.82 10.3.58.87 10.3.58.66 10.3.58.33 10.3.58.30 10.3.58.27 10.3.58.32 10.3.58.28 10.3.58.34 10.3.58.35 10.3.58.29 10.3.58.31 10.3.58.51 10.3.58.41 10.3.58.43 10.3.58.53 10.3.58.45 10.3.58.54 10.3.58.55 10.3.58.38 10.3.58.40 10.3.58.48 10.3.58.42 10.3.58.46 10.3.58.36 10.3.58.37 10.3.58.52 10.3.58.50 10.3.58.39 10.3.58.10 10.3.58.58 10.3.58.7 10.3.57.254 10.3.58.4 10.3.57.255 10.3.58.1 10.3.58.3 10.3.58.57 10.3.58.23 10.3.58.13 10.3.58.12 10.3.58.21 10.3.58.5 10.3.58.22 10.3.58.9 10.3.58.24 10.3.58.15 10.3.58.19 10.3.58.16"

export CUSTOM_YAML='docker_version: 1.12
hyperkube_image_repo: "quay.io/coreos/hyperkube"
hyperkube_image_tag: "v1.3.5_coreos.0"
etcd_image_repo: "quay.io/coreos/etcd"
etcd_image_tag: "v3.0.1"
calicoctl_image_repo: "calico/ctl"
#calico_node_image_repo: "calico/node"
calico_node_image_repo: "l23network/node"
calico_node_image_tag: "v0.20.0"
calicoctl_image_tag: "v0.20.0"
kube_apiserver_insecure_bind_address: "0.0.0.0"'

mkdir -p $WORKSPACE
echo "Running on $NODE_NAME: $ENV_NAME"
cd ./fuel-ccp-installer

bash -xe "./utils/jenkins/run_k8s_deploy_test.sh"

3.5.2. Script for parsing collected metrics¶

#!/bin/bash -e

if [[ ! $1 ]] || [[ ! $2 ]] ; then
    echo \$1 = kargo_env_name, \$2 = csv file path
    exit 1
fi

WORKDIR='~/worked_up_results/'
cur_dir="${WORKDIR}kargo_${1}"
csv_name=`basename $2`
if [[ ! -d $cur_dir ]] ; then mkdir -p $cur_dir ; fi

awk -F "," 'BEGIN {getline;getline;getline;getline;getline;getline;getline;
    print "time,cpu_usage,ram_usage,net_recv,net_send,net_all,dsk_io_read,dsk_io_writ,dsk_all"}
    {printf "%s,%0.3f,%0.3f,%0.3f,%0.3f,%0.3f,%d,%d,%d\n", $1,100-$4,$8/1048576,$12/8,$13/8,($12+$13)/8,$14,$15,$14+$15 }' $2 > $cur_dir/${csv_name}

3. Results of measuring performance of Kargo