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Deploy OctoPerf On-Premise Infra on Kubernetes


This tutorial explains how to setup OctoPerf On-Premise Infra on a Kubernetes cluster using OctoPerf Helm Chart.


This tutorial requires:

  • Know what a Makefile is, and what it's being used for,
  • Know what Docker is and what it's being used for,
  • Basic understand Kubernetes concepts (like pods, deployments, replicatset it's made of)
  • Knowledge about how to use kubectl command to interact with your Kubernetes (k8s) cluster,
  • Minikube installed on your computer, (which itself requires VirtualBox)
  • Helm install. Helm allows to install Helm Charts on your K8s cluster,
  • a local computer running Linux, preferrably Ubuntu LTS, with at least 4 CPUS and 16GB RAM.

The next chapters of this tutorial suppose you are familiar with all the technologies listed above.


The tutorials helps you to:

  • Setup a virtual machine with k8s preinstalled using Minikube,
  • Install the tools required to interact with the k8s cluster previously setup,
  • Install OctoPerf On Premise Infra Helm Chart on your local k8s cluster.

Getting Started

To get started, you must:

Make sure to start Minikube with at least 2 CPUs and 8GB RAM. By default, minikube is configured to use only 1 CPU with 1024MB RAM. It won't be enough to run OctoPerf On Premise Infra. Minikube automatically configures kubectl to interact with the k8s cluster inside the virtual machine. The VM should have the following private IP:

Minikube Setup

Start a new virtual machine using minikube. It may take a few minutes before the virtual machine is up and running. You should see the following message once the virtual machine is started:

ubuntu@laptop:~$ minikube start --cpus 4 --memory 8192
😄  minikube v1.2.0 on linux (amd64)
💡  Tip: Use 'minikube start -p <name>' to create a new cluster, or 'minikube delete' to delete this one.
🔄  Restarting existing virtualbox VM for "minikube" ...
⌛  Waiting for SSH access ...
🐳  Configuring environment for Kubernetes v1.15.0 on Docker 18.09.6
🔄  Relaunching Kubernetes v1.15.0 using kubeadm ...   Verifying: apiserver proxy etcd scheduler controller dns
🏄  Done! kubectl is now configured to use "minikube"

You can now check the cluster is running by getting nodes:

ubuntu@laptop:~$ kubectl get nodes
minikube   Ready    master   1m    v1.15.0

We now have a workin Kubernetes cluster running inside a virtual machine in Virtualbox. The next step is to configure helm.

Helm Setup

Helm is a package manager for Kubernetes. Thanks to our Helm Chart, you can easily install and run OctoPerf On Premise Infra on any k8s cluster.

First, let's add OctoPerf's Helm repository. By default, Helm is configured with a single repository:

ubuntu@laptop:~$ helm repo list
NAME    URL                                             

Let's add our own repository now:

ubuntu@laptop:~$ helm repo add octoperf
"octoperf" has been added to your repositories
ubuntu@laptop:~$ helm repo list
NAME        URL                                             

The OctoPerf Helm chart repository is now added to your Helm repository. Let's refresh the repositories and check the available charts:

ubuntu@laptop:~$ helm repo update
Hang tight while we grab the latest from your chart repositories...
...Successfully got an update from the "octoperf" chart repository
...Successfully got an update from the "stable" chart repository
Update Complete.
ubuntu@laptop:~$ helm search octoperf
NAME                        CHART VERSION   APP VERSION DESCRIPTION                                        
octoperf/enterprise-edition 11.0.0          11.0.0      Official OctoPerf Helm Chart for Enterprise-Edition

Our Helm command is now aware of OctoPerf On Premise Infra helm chart. To make things simple, a helm chart is a special kind of software installer dedicated to Kubernetes. We're now ready to install the chart on our minikube virtual machine.

Helm Chart Configuration

First, we need to create a values.yaml configuration file to adjust a few settings. Let's download the values.yaml for the examples we provide online:

ubuntu@laptop:~$ wget
--2019-07-04 17:15:16--
Resolving (
Connecting to (||:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 763 [text/plain]
Saving to: ‘values.yaml’

values.yaml                                     100%[=====================================================================================================>]     763  --.-KB/s    in 0s      

2019-07-04 17:15:16 (121 MB/s) - ‘values.yaml’ saved [763/763]

Let's take a look at what's inside:


  # Permit co-located instances for solitary minikube virtual machines.
  antiAffinity: "soft"

  # Shrink default JVM heap.
  esJavaOpts: "-Xmx128m -Xms128m"

  # Request smaller persistent volumes.
    accessModes: [ "ReadWriteOnce" ]
    storageClassName: "standard"
        storage: 1Gi

  enabled: true
  annotations: {}
  path: /
  - ""

    server.hostname: ""

Basically, this configuration file configures:

  • A 3 nodes Elasticsearch cluster, all 3 of them running on the same node (minikube VM),
  • The On Premise Infra stack which includes the backend, frontend and documentation servers,
  • And exposes the relevant services using an ingress load-balancer on host

Info is a convenient DNS service for development purpose to have DNS records for private IPs.

Helm Chart Setup

To make subsequent command-lines easier to run, let's create a very simple Makefile:

default: dry-run

RELEASE ?= enterprise-edition
HELM_PARAMS=-f values.yaml --name $(RELEASE) --namespace $(NAMESPACE)

        helm install $(HELM_PARAMS) --dry-run

        helm install octoperf/enterprise-edition $(HELM_PARAMS)

        kubectl -n octoperf get all

        helm del --purge $(RELEASE)

        -helm delete $(RELEASE)
        -helm del --purge $(RELEASE)

That way, we can easily install the helm chart on minikube by typing make install:

ubuntu@laptop:~/kubernetes$ make install 
helm install octoperf/enterprise-edition -f values.yaml --name enterprise-edition --namespace octoperf
NAME:   enterprise-edition
NAMESPACE: octoperf

Thank you for installing OctoPerf enterprise-edition! Your release is named enterprise-edition.

To learn more about the release, try:

  $ helm status enterprise-edition
  $ helm get enterprise-edition

A whole bunch of k8s resources of different kinds (ConfigMap, DaemonSet, Service, StatefulSet etc.) are being created at once. To get the status of the helm enterprise-edition release, run helm get enterprise-edition in your terminal:

==> v1/ConfigMap
NAME                                DATA  AGE
enterprise-edition-backend-config   6     3m22s
enterprise-edition-frontend-config  1     3m22s

==> v1/DaemonSet
enterprise-edition-doc       1        1        1      1           1          <none>         3m22s
enterprise-edition-frontend  1        1        1      1           1          <none>         3m22s

==> v1/Pod(related)
NAME                               READY  STATUS   RESTARTS  AGE
elasticsearch-master-0             2/2    Running  0         3m22s
elasticsearch-master-1             2/2    Running  0         3m22s
elasticsearch-master-2             2/2    Running  0         3m22s
enterprise-edition-backend-0       1/1    Running  0         3m22s
enterprise-edition-doc-2kw5z       1/1    Running  0         3m22s
enterprise-edition-frontend-5kdqj  1/1    Running  0         3m22s

==> v1/Service
NAME                                 TYPE       CLUSTER-IP      EXTERNAL-IP  PORT(S)            AGE
elasticsearch-master                 ClusterIP    <none>       9200/TCP,9300/TCP  3m22s
elasticsearch-master-headless        ClusterIP  None            <none>       9200/TCP,9300/TCP  3m22s
enterprise-edition-backend           ClusterIP  <none>       8090/TCP           3m22s
enterprise-edition-backend-headless  ClusterIP  None            <none>       8090/TCP,5701/TCP  3m22s
enterprise-edition-doc               ClusterIP  None            <none>       80/TCP             3m22s
enterprise-edition-frontend          ClusterIP  None            <none>       80/TCP             3m22s

==> v1/StatefulSet
NAME                        READY  AGE
enterprise-edition-backend  1/1    3m22s

==> v1beta1/Ingress
NAME                        AGE
enterprise-edition-ingress  3m22s

==> v1beta1/PodDisruptionBudget
elasticsearch-master-pdb        N/A            1                1                    3m22s
enterprise-edition-backend-pdb  N/A            1                1                    3m22s

==> v1beta1/StatefulSet
NAME                  READY  AGE
elasticsearch-master  3/3    3m22s

It may take a few minutes / dozen of minutes (depending on your internet speed) to get everything up and running. Remember about a dozen docker images of various sizes are required to run OctoPerf Enterprise-Edition (along with Elasticsearch) on k8s.


The configuration used in this tutorial is suitable for testing purpose on minikube only. Please see the helm chart documentation for a comprehensive list of all possible settings.

Web UI

Now, open in your web browser. Should you see a HTTP 503 Service Unavailable message, please wait until all resources are up and running. You can check the status of the various resources using the terminal:

ubuntu@laptop:~/kubernetes$ kubectl -n octoperf get pods
NAME                                READY   STATUS    RESTARTS   AGE
elasticsearch-master-0              2/2     Running   0          6m37s
elasticsearch-master-1              2/2     Running   0          6m37s
elasticsearch-master-2              2/2     Running   0          6m37s
enterprise-edition-backend-0        1/1     Running   0          6m37s
enterprise-edition-doc-2kw5z        1/1     Running   0          6m37s
enterprise-edition-frontend-5kdqj   1/1     Running   0          6m37s
All pods are up and running


In the case host is not responding (may happen depending on your ISP), edit your /etc/hosts file and configure it manually by adding the following entry:

Create an Account

OctoPerf EE comes completely empty. You need to create an account and register a load generator (computer used to generate the load) to be able to run load tests:

To easily register an agent for testing purpose:

  • Follow steps above to create an account with an on-premise provider,
  • Get the generated agent command-line from the Web UI,
  • SSH into minikube VM:

ubuntu@laptop:~/kubernetes$ minikube ssh
                         _             _            
            _         _ ( )           ( )           
  ___ ___  (_)  ___  (_)| |/')  _   _ | |_      __  
/' _ ` _ `\| |/' _ `\| || , <  ( ) ( )| '_`\  /'__`\
| ( ) ( ) || || ( ) || || |\`\ | (_) || |_) )(  ___/
(_) (_) (_)(_)(_) (_)(_)(_) (_)`\___/'(_,__/'`\____)

$ sudo docker run -d --restart=unless-stopped --name right_film -v /var/run/docker.sock:/var/run/docker.sock -e AGENT_TOKEN='XXXXXXXXXX' -e SERVER_URL='' octoperf/docker-agent:11.0.0
Example command-line generated while writing this tutorial

  • Copy and paste the agent command-line directly here. The OctoPerf docker-agent will run directly inside the virtual machine. It should show up in Web UI Agents table after a while.

OctoPerf Docker Agent Agent running inside Minikube VM appears with a private IP specific to Docker bridge network.

Congratulations! You've just managed to run OctoPerf Enterprise-Edition on Kubernetes using Minikube on your own computer.