Getting Started

A vendor-neutral orchestration framework for automated, large-scale performance testing of telecom network functions and cloud-native telco workloads

Try on VM

The solution is based on VMs in the archive SG-runner-0.1.0.ova

The sg_exec user does not have privilages to change test configuration at ./store direcotry. In the case of test devlopment use sg_dev shell be used.

Ensure that virtualbox, kvm or vmware is already installed.

Try on Docker

Learn how to use docker SG Runner image is avaiable on our DockerHub atossoftsea/sg-runner:1.0.1 . Try run docker host or on VM and setup docker up and pull image.

There is possibility run SG-Runner as single or more images. As Devloper, it is recommeded to use SG-Runner as single and mount your test repository at /opt/sea/sg-runner/store.

All information you may catch on guidles given

Note: if you use docker to use seagull in server mode be aware to publish configured port e.g 3868 for diameter

Try on kubernates

Learn how to use minikube , the easiest way to use Falco on Kubernetes in a local environment is on Minikube.

When running minikube with one of the following drivers virtualbox, qemu, kvm2, it creates a VM that runs the various Kubernetes services and a container framework to run Pods, etc. Generally, it’s not possible to build SG-Runner or SG-Orchestration on the minikube VM, as the VM doesn’t include the kernel headers for the running kernel.

To address this, starting SG-Runner or SG-Orchestration last 2 minikube major versions, including minor versions, are available at Minikube.

You can follow the official guide to install on container.

Note: Ensure that you have installed kubectl and k9s