benchmark-runner 1.0.50

Benchmark Runner Tool

Benchmark-Runner

This tool provides a lightweight and flexible framework for running benchmark workloads on Kubernetes/OpenShift Pod or VM.

This tool support the following workloads:

• hammerdb: running hammerdb workload on the following databases: MSSQL, Mariadb, Postgresql on Pod and VM with Configuration
• stressng: running stressng workload on Pod or VM with Configuration
• uperf: running uperf workload on Pod or VM with Configuration

** First Phase: supports benchmark-operator workloads

Hammerdb Kibana dashboard:

Reference:

• The benchmark-runner package is located in PyPi
• The benchmark-runner container image is located in Quay.io

Table of Contents

• Installation
• Run workload using Docker/Podman
• Run workload in Pod using Kubernetes/OpenShift
• Post Installation

Installation

Download benchmark-runner image from quay.io

sudo podman pull quay.io/ebattat/benchmark-runner:latest

Environment variables description:

mandatory:KUBEADMIN_PASSWORD=$kubeadmin_password

mandatory:WORKLOAD=$workload

Choose one from the following list:

['stressng_pod', 'stressng_vm','uperf_pod', 'uperf_vm', 'hammerdb_pod_mariadb', 'hammerdb_pod_mssql', 'hammerdb_pod_postgres', 'hammerdb_vm_mariadb', 'hammerdb_vm_mssql', 'hammerdb_vm_postgres']

mandatory:ELASTICSEARCH=$elasticsearch [IP]

mandatory:ELASTICSEARCH_PORT=$elasticsearch_port

optional:PIN_NODE1=$pin_node1 [node1 selector for running the workload]

optional:PIN_NODE2=$pin_node2 [node2 selector for running the workload, i.e. uperf there are client and server]

Run workload using Podman/Docker

sudo podman run --rm -e WORKLOAD=stressng_pod -e KUBEADMIN_PASSWORD=$kubeadmin_password -e ELASTICSEARCH=$elasticsearch -e ELASTICSEARCH_PORT=$elasticsearch_port -e PIN_NODE1=$pin_node1 -v /root/.kube/config:/root/.kube/config -e log_level=INFO --privileged quay.io/ebattat/benchmark-runner:latest

# For custom workload data configuration add:
-v /home/user/stressng/stressng_data.yaml:/benchmark_runner/benchmark_operator/template/stressng/stressng_data.yaml

Run workload in Pod using Kubernetes/OpenShift

[TBD]

Post Installation

Delete benchmark-runner image

sudo podman rmi quay.io/ebattat/benchmark-runner:latest