Update README.md

README.md

@@ -17,24 +17,28 @@ Usage
 
 To reproduce and test the FaaS implementation, follow these steps:
 
-    Build Example2 Image: Navigate to the examples/example2 directory and build the Docker image using the provided Dockerfile.
-
-    bash
-
-cd examples/example2
-docker build -t example2 .
-
-Deploy Container: Deploy the Docker container containing Example2 function to the Kubernetes cluster.
-
-bash
-
-kubectl apply -f deployment.yaml
-
-Setup Scaling: Use the provided setup script to configure autoscaling for the Example2 function.
-
-bash
-
-./setup_scaling.sh
+    On both the files, run
+    1. Docker-install.sh 
+    2. setup.sh
+    3. setup2.sh
+    4. setup3.sh
+    On master node initialize Kubernetes cluster by running
+    1. setup-master.sh
+    On worker node, join the node to master/cluster with the instructions generated in above step.
+    
+Once the setup is done, confirm that the nodes are all up by running
+bash kubectl get nodes
+
+Then run faas platform using the below command
+python faas.py
+It would show an interactive menu. Follow the below sequence to reproduce the metrics.
+1. Build example2
+2. Deploy example2
+3. Scale example2
+4. Expose example2 as ClusterIP
+5. Check logs and get metrics as and when required.
+
+Now your function is deployed and ready for experiments.
 
 Test Autoscaling: Use curl commands to trigger CPU and memory-intensive tasks and observe the scaling behavior.