https://github.com/puneethkumarck/spring-microservice-autoscale

https://github.com/puneethkumarck/spring-microservice-autoscale

Last synced: 7 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/puneethkumarck/spring-microservice-autoscale
• Owner: Puneethkumarck
• Created: 2022-02-21T21:42:20.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-02-22T10:40:12.000Z (over 4 years ago)
• Last Synced: 2025-01-29T22:46:11.472Z (over 1 year ago)
• Language: Java
• Size: 1.42 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# HPA (Horizontel Pod AutoScaler) Demo with SpringBoot with K8s

### Pre requisite installation

* Java 11

* maven

* kubernetes docker for desktop/minikube

### Tech

* Java 11

* Springboot

* Spring-Data-Jpa

* Spring-Boot-Actuator

* Lombok

* Maven

* kubernetes

* Docker

### Build

 mvn clean install

```

Build docker image 

docker build -t spring-microservice-autoscale-deployment:v3 . 

```

### Run

1. Metricserver in docker for desktop is not enabled by default, apply follwoing command  

```

kubectl create -f metricsserver/

```

2. Deploy the k8s resources by following command 

```

kubectl create -f k8s/

```

![img.png](images/initial_deployment.png)

3. check the k8s pod,service, deployment and hpa deployed in previous step 

```

kubectl get po,svc,deployment,hpa 

```

![img.png](images/display_resources.png)

4. Check the pod status

```

kubectl get po

```

![img.png](images/pod_creation.png)

5. check the HPA status and observe the Targets column for resource consumption 

```

 kubectl get hpa

 ```

![img.png](images/hpa.png)

6. Wait for pod scale down to 1 (i.e, Min Replica Config)

7. Perform the Load Test . Run the below command in the separate command line window

```

while true; do curl http://localhost:8080/retrieve; done

```

8. Run below command in separate window to watch HPA status every 30 sec, observe Target column to see variations in the CPU consumptions

```

   kubectl get hpa -w

```

   ![img.png](images/hpa2.png)

   

9. Check the Kuberentes events to understand scaling up and down events in background 

```

kubectl get events

```

   ![img.png](images/kube_events.png)

10. terminate the load testing

11. Wait for sometime and verify change in HPA and Kubernetes events to scaling down the pod to minimum replica count , since CPU consumption is low

12. clean up resources kubectl delete -f k8s/


## K8s Commands used

* kubectl create -f k8s/

* kubectl get po,svc,deployment,hpa

* kubectl get po

* kubectl get hpa -w

* kubectl get events

* kubectl describe deploy spring-microservice-autoscale-deployment