See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy:
- Define a NetworkPolicy resource that allows traffic from the specified IP addresses to the Deployment pods.

2. Apply the NetworkPolicy: - Apply the YAML file using 'kubectl apply -f networkpolicy.yaml'. 3. Verify the NetworkPolicy: - Check the status of the NetworkPolicy using 'kubectl get networkpolicies allow-specific-ips -n 4. Test the Access: - Attempt to access the web application from the allowed IP addresses. You should be able to access it. - Try to access the application from other IP addresses. You should not be able to access it. Note: Replace " with the actual namespace where your Deployment and NetworkPolicy are located.

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.
- Set 'spec.template.spec.containers[0].restartPolicy: Always' to ensure the database container restarts automatically when it encounters a failure.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f database-deployment.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments database-deployment' to confirm the rollout and updated replica count. 4. Test the Restart Policy: - Trigger a failure in the 'database' container within one of the pods. This can be done by sending a SIGKILL signal to the container or by simulating a crash within the container itself. - Observe that the 'database' container will be restarted automatically while other containers in the same pod will remain unaffected. 5. Trigger the Automatic Update: - Push a new image to the 'my-database-image:latest registry. 6. Monitor the Deployment: - Use "kubectl get pods -l app=database' to monitor the pod updates during the rolling update process. 7. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment database-deployment' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.

See the solution below.
Explanation
solution

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service for the Backend:
- Define a Service for the backend pods:

- This Service creates a ClusterlP service, accessible only within the cluster. The 'targetPort' specifies the port exposed by the backend pods. 2. Create a Service for the Frontend: - Define a Service for the frontend pods:

- This Service creates a LoadBalancer service, accessible from outside the cluster. 3. Configure NetworkPolicy for the Frontend Service: - Define a NetworkPolicy that allows traffic from the 'frontend-svc' to the 'backend-svc':

- This NetworkPolicy allows ingress traffic from the 'frontend-svc' and egress traffic to the 'backend-svc'. 4. Apply the Configurations: - Apply the YAML files using 'kubectl apply -f backend-svc.yaml' , 'kubectl apply -f frontend-svc.yamr , and kubectl apply -f frontend-to-backend.yamr. 5. Verification: - Check the status of the services: 'kubectl get services' - Check the network policy status: 'kubectl get networkpolicies' Now, the frontend pods can communicate with the backend service through the 'backend-svc' service. External clients can access the frontend application through the 'frontend-svc' service. The backend service is not accessible directly from outside the cluster due to the NetworkPolicy restricting traffic from external sources. ]

See the solution below.
Explanation
Solution:
#yaml
apiVersion: v1
kind: Pod
metadata:
name: nginx-kusc00401
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
nodeSelector:
disk: spinning
#
kubectl create -f node-select.yaml