THE LINUX FOUNDATION PROJECTS
Speak at ONE Summit 2026! Share your innovations in Edge AI, edge infrastructure, and open source edge computing. Submit your proposal by August 24. LEARN MORE
By | January 30, 2018

Running EdgeX Foundry on Kubernetes

Guest blog post by Rohit P Sardesai, System Architect, Huawei Technologies India Pvt Ltd.

Why Kubernetes for Edge?

An edge computing platform comprises of many management and application services deployed on tens of thousands of edge-gateways managing millions of devices. Ensuring reliability and scalability of these services at such a large scale can be ensured by a platform like Kubernetes which orchestrates containers in a scalable and highly available way.

Kubernetes Pods and Deployments

Pods are the smallest deployable units of computing that can be created and managed in Kubernetes. A pod is a group of one or more containers logically co-located to share the same network, volumes etc.

A Deployment is a controller which manages pods and ensures the desired number of pods are always running.

An EdgeX core-metadata deployment yaml could be defined as below:

Figure 1. Metadata-deployment.yaml

 

The spec defines the containers to run, docker image to use, and ports to expose.

Kubernetes volumes

A Kubernetes volume is just a directory to store some data. To use a volume, a pod specifies what volumes to provide and where to mount those into containers. In Fig 1 above, volumes and volumeMounts are specified for the mongodb data, logs, and consul-config and consul-data directories.

Kubernetes Services

A Kubernetes Service is acts an intermediary for pods to talk to each other, providing features like load balancer and service-discovery. It routes the requests to backing pods based on matching labels.

Figure 2: EdgeX Services Communication

 

An EdgeX core-metadata Service yaml could be described as below:

Figure 3: Metadata-service.yaml

 

The config-seed service in EdgeX currently provides service discovery for all other services. Kubernetes Services serve the same purpose, so we don’t need to run the config-seed service in Kubernetes.

All other EdgeX micro-services have a dependency on the config-seed service which can be removed by setting the setting spring.consul.enabled to false in bootstrap.properties and rebuilding the docker image.

Figure 4: Disable consul dependency

Setting up a single node Kubernetes cluster

kubeadm tool can be used to setup a single node Kubernetes cluster :  https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/

Kubernetes supports different pod network add-ons implementing the Container Network Interface (CNI). I used Weave as the pod network add-on.

If using weave, make sure you start kubeadm with the correct pod-network-cidr range:

$kubeadm init –pod-network-cidr=10.244.0.0/16

Next, install the Weave pod network:

$kubectl apply -f “https://cloud.weave.works/k8s/net?k8s-version=$(kubectl version | base64 | tr -d ‘\n’)”

Creating Services and Deployments

Create Service objects for all the EdgeX micro-services using the kubectl command line tool.

$kubectl create –f <service.yaml>

Next, create the Deployment objects for all the services.

$kubectl create –f <deployment.yaml>

The order of creation of the deployment objects is similar to the Docker Compose approach. The only difference being we don’t bring up the volume and config-seed services.

Deployment and Service yamls and scripts to create the EdgeX Services and Deployments can be found here: https://github.com/rohitsardesai83/edgex-on-kubernetes

Figure 5: Project structure

 

The scripts in the hack folder can be used to bring up/down the EdgeX services.

If you have questions or comments, visit the EdgeX Rocket.Chat and share your thoughts in the #community channel.