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Deploy Example Application
When trying out Steadybit you may want to start easy instead of directly using your fully fledged system. Therefore, we have a small example application called Shopping Demo which you can easily deploy on a local minikube or AWS EKS using this guide.
Simply follow these two steps:

Prerequisites

Step 1 - Check out example application

In order to give you a quick and easy start, we have developed a small demo application. Our shopping demo is a small product catalog provided by 4 distributed backend services and a simple UI.
shopping-demo-app
If you want to learn more about our demo, please take a look at our GitHub repository: https://github.com/steadybit/shopping-demo
First you need to download our shopping demo app, run following git clone command:
git clone https://github.com/steadybit/shopping-demo.git

Step 2 - Deploy the example application

The example application is already pre-configured to be deployed into a Kubernetes cluster. You can choose whether to deploy it into a) local minikube installation or b) AWS EKS.
Kubernetes, also known as k8s, is an open source system for automating the deployment, scaling, and management of containerized applications. You can use minikube to set up a local Kubernetes cluster on macOS, Linux or Windows. As an alternative choose AWS EKS to set up a Kubernetes cluster in the cloud.
Make sure to install the agents afterwards into the same environment.

Step 2a) Deploy on Minikube

Prerequisite
  • You have a running minikube installation
Start your minikube cluster
From a terminal, run:
minikube start
You can access your cluster with:
kubectl get po -A
Deploy the example application
Now we use kubectl to deploy the demo by running the following command:
kubectl apply -f k8s-manifests.yml
Verify that all Shopping Demo pods are running:
kubectl get pods --namespace steadybit-demo
You will see the following result, all pods are ready if you can see the status Running:
NAME READY STATUS RESTARTS AGE
fashion-bestseller-79b9698f88-557vt 1/1 Running 0 11s
gateway-7fc74f7f9b-tshzg 1/1 Running 0 11s
hot-deals-75cb898ff7-wrnxc 1/1 Running 0 10s
postgres-68f9db56cc-wxxth 1/1 Running 0 10s
toys-bestseller-6df5bd864f-kzrt9 1/1 Running 0 11s
The command minikube tunnel creates a route to services deployed with type LoadBalancer and sets their Ingress to their ClusterIP.
minikube tunnel
With the following command you can now determine the external IP and port to access the gateway service:
kubectl get svc -n steadybit-demo
Example response:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
fashion-bestseller NodePort ------------- <none> ----:-----/--- ---
gateway LoadBalancer 10.98.173.27 127.0.0.1 80:30131/TCP 3h15m
hot-deals NodePort ------------- <none> ----:-----/--- ---
product-db NodePort ------------- <none> ----:-----/--- ---
toys-bestseller NodePort ------------- <none> ----:-----/--- ---
Visit http://{EXTERNAL-IP}:{PORT}/products in your browser to retrieve the aggregated list of all products or just use curl:
curl http://{EXTERNAL-IP}:{PORT}/products
The result is an aggregated list of all products of the services toys, hot-deals and fashion:
{
"fashionResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
{
"id": "e9f0bec4-989c-4b9f-8bf9-334622e915ad",
"name": "Bob Mailor Slim Jeans",
"category": "FASHION"
},
{
"id": "b110185b-d808-4104-b605-08a90b1248ce",
"name": "Lewi's Jeanshose 511 Slim Fit",
"category": "FASHION"
},
{
"id": "222d7084-3cc7-43c3-890f-4598aa44eb2f",
"name": "Urban Classics Shirt Shaped Long Tee",
"category": "FASHION"
}
]
},
"toysResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
...
]
},
"hotDealsResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
...
]
},
"duration": 112,
"statusFashion": "REMOTE_SERVICE",
"statusToys": "REMOTE_SERVICE",
"statusHotDeals": "REMOTE_SERVICE"
}

Step 2b) Deploy on AWS EKS

Prerequisites
Create your AWS Elastic Kubernetes Service (AWS EKS) cluster and nodes
Verfiy your AWS CLI configuration by running:
aws --version
Your output should be similiar to:
aws-cli/2.0.44 Python/3.8.5 Darwin/19.6.0 source/x86_64
Create your Amazon EKS cluster and containing 2 nodes by running the following command. More details are available at AWS documentation
From a terminal, run:
eksctl create cluster \
--name steadybit-demo-cluster \
--region us-west-2
You can access your cluster with:
kubectl get nodes
Your output should be look like:
NAME STATUS ROLES AGE VERSION
ip-192-168-53-195.us-west-2.compute.internal Ready <none> 113s v1.17.12-eks-7684af
ip-192-168-68-23.us-west-2.compute.internal Ready <none> 118s v1.17.12-eks-7684af
Deploy the Shopping Demo
Now we use kubectl to deploy the demo by running the following command:
kubectl apply -f aws-eks-demo.yaml
Verify that all Shopping Demo pods are running:
kubectl get pods --namespace steadybit-demo
You will see the following result, all pods are ready if you can see the status Running:
NAME READY STATUS RESTARTS AGE
fashion-bestseller-79b9698f88-557vt 1/1 Running 0 11s
gateway-7fc74f7f9b-tshzg 1/1 Running 0 11s
hot-deals-75cb898ff7-wrnxc 1/1 Running 0 10s
postgres-68f9db56cc-wxxth 1/1 Running 0 10s
toys-bestseller-6df5bd864f-kzrt9 1/1 Running 0 11s
With the following command you can now determine the external IP and port to access the gateway service:
kubectl get svc -n steadybit-demo
Example response:
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
fashion-bestseller NodePort ------------- <none> ----:-----/--- ---
gateway LoadBalancer 10.98.173.27 127.0.0.1 80:30131/TCP 3h15m
hot-deals NodePort ------------- <none> ----:-----/--- ---
product-db NodePort ------------- <none> ----:-----/--- ---
toys-bestseller NodePort ------------- <none> ----:-----/--- ---
Visit http://{EXTERNAL-IP}:{PORT}/products in your browser to retrieve the aggregated list of all products or just use curl:
curl http://{EXTERNAL-IP}:{PORT}/products
The result is an aggregated list of all products of the services toys, hot-deals and fashion:
{
"fashionResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
{
"id": "e9f0bec4-989c-4b9f-8bf9-334622e915ad",
"name": "Bob Mailor Slim Jeans",
"category": "FASHION"
},
{
"id": "b110185b-d808-4104-b605-08a90b1248ce",
"name": "Lewi's Jeanshose 511 Slim Fit",
"category": "FASHION"
},
{
"id": "222d7084-3cc7-43c3-890f-4598aa44eb2f",
"name": "Urban Classics Shirt Shaped Long Tee",
"category": "FASHION"
}
]
},
"toysResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
...
]
},
"hotDealsResponse": {
"responseType": "REMOTE_SERVICE",
"products": [
...
]
},
"duration": 112,
"statusFashion": "REMOTE_SERVICE",
"statusToys": "REMOTE_SERVICE",
"statusHotDeals": "REMOTE_SERVICE"
}

Next Steps

Now, make sure to install the agents into the same environment (minikube or AWS EKS).