Sample Microservice Application
Stan's Robot Shop is a sample microservice application you can use as a sandbox to test and learn containerised application orchestration and monitoring techniques. It is not intended to be a comprehensive reference example of how to write a microservices application, although you will better understand some of those concepts by playing with Stan's Robot Shop. To be clear, the error handling is patchy and there is not any security built into the application.
You can get more detailed information from my blog post about this sample microservice application.
This sample microservice application has been built using these technologies:
- NodeJS (Express)
- Java (Spark Java)
- Python (Flask)
- PHP (Apache)
- MySQL (Maxmind data)
- AngularJS (1.x)
The various services in the sample application already include all required Instana components installed and configured. The Instana components provide automatic instrumentation for complete end to end tracing, as well as complete visibility into time series metrics for all the technologies.
To see the application performance results in the Instana dashboard, you will first need an Instana account. Don't worry a trial account is free.
Build from Source
To optionally build from source (you will need a newish version of Docker to do this) use Docker Compose. Optionally edit the .env file to specify an alternative image registry and version tag; see the official documentation for more information.
$ docker-compose build
If you modified the .env file and changed the image registry, you may need to push the images to that registry
$ docker-compose push
You can run it locally for testing.
If you did not build from source, don't worry all the images are on Docker Hub. Just pull down those images first using:
$ docker-compose pull
Fire up Stan's Robot Shop with:
$ docker-compose up
If you are running it locally on a Linux host you can also run the Instana agent locally, unfortunately the agent is currently not supported on Mac.
Marathon / DCOS
The manifests for robotshop are in the DCOS/ directory. These manifests were built using a fresh install of DCOS 1.11.0. They should work on a vanilla HA or single instance install.
You may install Instana via the DCOS package manager, instructions are here: https://github.com/dcos/examples/tree/master/instana-agent/1.9
The Docker container images are all available on Docker Hub. The deployment and service definition files using these images are in the K8s directory, use these to deploy to a Kubernetes cluster. If you pushed your own images to your registry the deployment files will need to be updated to pull from your registry; using kompose may be of assistance here.
If you want to deploy Stan's Robot Shop to Google Compute you will need to edit the K8s/web-service.yaml file and change the type from NodePort to LoadBalancer. This can also be done in the Google Compute console.
I have found some issues with kompose reading the .env correctly, just export the variables in the shell environment to work around this.
You can also run Kubernetes locally using minikube.
$ kubectl create namespace robot-shop $ kubectl -n robot-shop create -f K8s/descriptors
To deploy the Instana agent to Kubernetes, just use the helm chart. Edit values.yaml and set zone, endpoint and key to your values, see the README file for the helm chart.
$ cd instana-helm-chart $ helm install --name instana-agent --namespace instana-agent .
If you are having difficulties get helm running with your K8s install it is most likely due to RBAC, most K8s now have RBAC enabled by default. Therefore helm requires a service account to have permission to do stuff.
Acessing the Store
If you are running the store locally via docker-compose up then, the store front is available on localhost port 8080 http://localhost:8080
If you are running the store on Kubernetes via minikube then, to make the store front accessible edit the web service definition and change the type to NodePort and add a port entry nodePort: 30080.
$ kubectl -n robot-shop edit service web
spec: ports: - name: "8080" port: 8080 protocol: TCP targetPort: 8080 nodePort: 30080 selector: io.kompose.service: web sessionAffinity: None type: NodePort
The store front is then available on the IP address of minikube port 30080. To find the IP address of your minikube instance.
$ minikube ip
If you are using a cloud Kubernetes / Openshift / Mesosphere then it will be available on the load balancer of that system. There will be specific blog posts on the Instana site covering these scenarios.
A separate load generation utility is provided in the load-gen directory. This is not automatically run when the application is started. The load generator is built with Python and Locust. The build.sh script builds the Docker image, optionally taking push as the first argument to also push the image to the registry. The registry and tag settings are loaded from the .env file in the parent directory. The script load-gen.sh runs the image, edit this and set the HOST environment variable to point the load at where you are running the application. You could run this inside an orchestration system (K8s) as well if you want to, how to do this is left as an exercise for the reader.
End User Monitoring
If you are running the Instana backend on premise, you will also need to set the Reporting URL to your local instance. Set the environment variable INSTANA_EUM_REPORTING_URL as above. See the Instana EUM API reference