Kubernetes Live Record & Replay using Keploy Proxy

Tier:Enterprise

Offering:Self-Hosted, Dedicated

This guide demonstrates how to use Keploy Proxy to perform live traffic recording and replay in a Kubernetes environment.

Get the Sample Application

Start by cloning the e-commerce sample application repository and switching to the Kubernetes setup branch.

git clone https://github.com/keploy/ecommerce_sample_app.git
cd ecommerce_sample_app
git checkout k8s

This branch contains all Kubernetes manifests and configurations required for this guide.

Prerequisites

Make sure you have the following installed:

• Docker
• Kind
• kubectl
• Helm

Verify installations:

docker --version
kind --version
kubectl version --client
helm version

Deployment Steps

You can use the Keploy Kubernetes proxy with any Kubernetes cluster, whether it is running in production or in a local environment. For this quickstart, we use a local Kind cluster to provide an overview of how the Keploy Kubernetes proxy works.

We’ll use an e-commerce sample application deployed on a local Kubernetes cluster (Kind) to demonstrate Keploy’s live record and replay capabilities with real microservices traffic.

Note: If you already have a Kubernetes cluster running, you can skip the deployment steps.

1. Create a Kind Cluster

Create a local Kubernetes cluster named ecommerce:

kind create cluster --name ecommerce

2. Build Docker Images Locally

The application consists of multiple services. Build the Docker images locally so they can be used inside the Kind cluster.

docker build -t user-service:latest ./user_service
docker build -t product-service:latest ./product_service
docker build -t order-service:latest ./order_service
docker build -t apigateway:latest ./apigateway

3. Load Images into Kind

Since the Kubernetes manifests use imagePullPolicy: Never, the images must be manually loaded into the Kind cluster.

kind load docker-image user-service:latest --name ecommerce
kind load docker-image product-service:latest --name ecommerce
kind load docker-image order-service:latest --name ecommerce
kind load docker-image apigateway:latest --name ecommerce

Note

The mysql:8.0 and localstack/localstack:3.3 images will be pulled automatically by Kind if not present locally. You may also load them manually to speed up cluster startup.

4. Deploy the Application

Apply all Kubernetes manifests:

kubectl apply -f k8s/

Check the status of pods:

kubectl get pods

Wait until all pods are in the Running state.

5. Access the Application

The API Gateway is exposed via a NodePort service.

For local environments use port-forwarding:

kubectl port-forward service/apigateway 8083:8083

Access the application at:

http://localhost:8083

At this point, your e-commerce application is live and ready to receive traffic.

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Enable Live Record & Replay with Keploy Proxy

1. Open Keploy Dashboard

Visit:

https://app.keploy.io

2. Add Your Kubernetes Cluster

• Navigate to Integration Testing
• Click on Clusters
• Connect a new cluster

3. Configure Cluster Details

Provide the following information:

• Cluster Name: ecommerce

• Ingress URL:

  http://localhost:8080

This allows the Keploy Proxy to observe and record live traffic from your Kubernetes application.

Note: For this quickstart, I am running it locally. If you are running your application in production, provide the necessary ingress URL.

4. Install the Keploy Proxy in your k8s Cluster

Once you have provided the cluster details, you can install the Keploy Proxy in your Kubernetes cluster using Helm.

5. Verify the Installation

Paste the Helm command into the terminal. Once the installation is complete, verify that the Keploy Proxy is running.

Note: The Keploy Proxy will be installed in the keploy namespace.

kubectl get pods -n keploy

Note: You need to port-forward the Keploy Proxy when running this setup on a local machine.

kubectl port-forward -n keploy svc/k8s-proxy 8080:8080

6. Your Keploy Proxy is ready to record live traffic

Once the Keploy Proxy is installed, you can view the list of running pods in the dashboard.

7. Start Recording

You can start recording live traffic from any of your pods by clicking Start Recording. For this quickstart, the apigateway pod is used.

8. Keploy is ready to Capture Live Traffic

Send a request to your API Gateway pod, and Keploy will capture the traffic.

9. Record Live Traffic

Once you have sent a request to your API Gateway pod, you can see the live traffic being captured.

10. Stop Recording

Once you have sent a request to your API Gateway pod, you can stop recording by clicking Stop Recording. To view the list of recordings, navigate to the recordings page, where you can see the captured traffic.

11. Generate Tests using AI

Did you notice something interesting in the dashboard? Once you have recorded a test, you can use AI to increase coverage. To generate additional tests, click Use AI for Tests.

12. Verify the Generation settings

Once you click Use AI for Tests, you can view the generation settings.

13. Verify the Generation

Once initiated, you can see the AI start generating test cases from the recorded traffic. The recorded traffic is used as input to create additional test cases.

14. View the Test Cases

After test generation, you can view the total number of test suites categorized as accepted, buggy, and rejected.

Conclusion

In this quickstart, we demonstrated how to use the Keploy Proxy in Kubernetes to record live traffic and generate tests using AI—all without writing manual tests. This is only a quickstart; you can follow the same steps to record real, production-like traffic and generate tests using AI.

Happy Testing with Keploy