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| Section | Objectives |
|---|---|
| Services and Networking | - Services (ClusterIP, NodePort) - Pod networking concepts - Ingress basics |
| Application Deployment | - Understand rolling updates and rollbacks - Use Kubernetes primitives to implement deployments |
| Application Design and Build | - Define, build and modify container images - Understand Jobs and CronJobs - Understand multi-container Pod design patterns |
| State Persistence | - Storage classes and volume mounting - PersistentVolumes and PersistentVolumeClaims |
| Application Environment, Configuration and Security | - Security contexts and service accounts - ConfigMaps and Secrets usage |
| Application Observability and Maintenance | - Monitor and troubleshoot applications - Understand probes and health checks |
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NEW QUESTION # 189
You are running a web application that requires high availability and resilience. You have implemented a deployment using a Deployment object in Kubernetes, but you want to ensure that your application can automatically recover from pod failures. Design a strategy using annotations that will enable automatic pod restarts in case of application failures.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define an Annotation: Add an annotation called ' kubernetes-io/restart-policy' to your Deployment's 'spec-template-metadata' section, setting its value to 'Always'.
2. Trigger Application Failures: You can intentionally trigger failures in your pods to test the restart policy You can use 'kubectl exec' to run commands inside a pod and simulate an application failure using 'Pkill -f s. For example, you can run a command like 'Pkill -f web-app' to terminate the web app process. 3. Monitor Pod Restarts: Observe the pods in your deployment using 'kubectl get pods -l app=web-app' . You will see that Kubernetes automatically restarts pods where the application has failed, ensuring your application remains available. 4. Confirm Automatic Restart Verify the 'restartCount of the affected pods using 'kubectl describe pod This will show the number of times the pod has been restarted due to the application failure. 5. Alternative Restart Policies: While 'Always' is the default policy, you can also use other restart policies like 'onFailure' (restarts only it the pod exits due to an error) or 'Never' (doesn't restart tne pod regardless of the reason for failure). Use the ' kubernetes.wrestart-policy' annotation to set these alternative policies as needed for specific applications. ,
NEW QUESTION # 190
Refer to Exhibit.
Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the /healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200. If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080
Answer:
Explanation:
Solution:
To have Kubernetes automatically restart a pod when an endpoint returns an HTTP 500 on the /healthz endpoint, you will need to configure liveness and readiness probes on the pod.
First, you will need to create a livenessProbe and a readinessProbe in the pod's definition yaml file. The livenessProbe will check the /healthz endpoint, and if it returns an HTTP 500, the pod will be restarted. The readinessProbe will check the /started endpoint, and if it returns an HTTP 500, the pod will not receive traffic.
Here's an example of how you can configure the liveness and readiness probes in the pod definition yaml file:
apiVersion: v1
kind: Pod
metadata:
name: probe-pod
spec:
containers:
- name: probe-pod
image: <image-name>
ports:
- containerPort: 8080
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /started
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
The httpGet specifies the endpoint to check and the port to use. The initialDelaySeconds is the amount of time the pod will wait before starting the probe. periodSeconds is the amount of time between each probe check, and the failureThreshold is the number of failed probes before the pod is considered unresponsive.
You can use kubectl to create the pod by running the following command:
kubectl apply -f <filename>.yaml
Once the pod is created, Kubernetes will start monitoring it using the configured liveness and readiness probes. If the /healthz endpoint returns an HTTP 500, the pod will be restarted. If the /started endpoint returns an HTTP 500, the pod will not receive traffic.
Please note that if the failure threshold is set to 3, it means that if the probe fails 3 times consecutively it will be considered as a failure.
The above configuration assumes that the application is running on port 8080 and the endpoints are available on the same port.
NEW QUESTION # 191
You have a Kubernetes cluster with a namespace called 'dev' and a deployment named 'app-deployment' in that namespace. You need to create a new Role that allows users in the 'developers' group to only scale the Sapp-deployment' deployment. They should not be able to access any other resources in the 'dev' namespace. Implement the RBAC configuration for this scenario.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Role:
- Create a YAML file named 'scale-app-role.yaml' with the following content:
2. Create a RoleBinding: - Create a YAML file named 'scale-app-rolebinding.yaml' with the following content:
3. Apply the configuration: - Apply the Role and Role8inding using the following commands: bash kubectl apply -f scale-app-role.yaml kubectl apply -f scale-app-rolebinding-yaml 4. Verify the configuration: - You can verify the configuration by using the following command: bash kubectl auth can-i --list --as=user:testuser--group-developers--namespace-dev - Replace 'testuser' with the name of a user in the 'developers' group. The output should show only the following permissions: - 'apps/deployments': 'get, "list, 'watch', 'update', 'patch', 'scale' 5. Test the permissions: - Try to scale the Sapp-deployment deployment using the 'kubectr command as a user in the 'developers group. - Try to perform other actions on the deployment or other resources in the 'devs namespace. You should only be able to scale the Sapp-deployment deployment.
NEW QUESTION # 192
You are deploying a microservice application consisting of three components: 'frontend' , 'backend' , and 'database'. You want to ensure that the 'backend' service is deployed only after the 'frontend' service has successfully started and is healthy. Additionally, the 'database' service should be deployed only after the 'backend' service is ready. How would you implement this deployment strategy using Kubernetes deployments?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Pre-requisites for Services:
- Create a 'Deployment for each service (frontend', 'backend', and 'database').
- For the 'backend' service, define a 'pre-requisite' in the 'dependencies' section of the 'Deployment' object, specifying that the ' frontend' service needs to be healthy and running. This can be achieved using the 'dependson' field in the 'spec.template.spec_containers' section of the Deployment.
- Similarly, for the 'database service, define a Tre-requisite' specifying that the 'backend' service needs to be healthy and running.
- Example 'frontend' Deployment:
- Example 'backend' Deployment:
- Example 'database' Deployment:
2. Create the Deployments: - Apply the YAML files using 'kubectl apply -f frontend-deployment.yamr , 'kubectl apply -f backend-deployment.yamr , and 'kubectl apply -f database- deployment-yaml. 3. Monitor the Deployment Process: - use 'kubectl get pods -l app=frontend' , 'kubectl get pods -l app=backend' , and 'kubectl get pods -l app=database' to monitor the deployment of the pods. - You will observe that the 'frontend' pods will start first, followed by the 'backend' pods after the 'frontend' pods are healthy. Finally, the 'database' pods will start after the 'backend' pods are healthy. 4. Verify the Deployment Success: - Use 'kubectl describe deployments frontend-deployment', 'kubectl describe deployments backend-deployment , and 'kubectl describe deployments database-deployment' to verify the successful deployment of each service. - Confirm that the 'Ready' status of each pod is true. This strategy ensures that the services are deployed in a predictable and reliable order, ensuring the application's integrity and functionality.,
NEW QUESTION # 193
You are developing a microservices application and want to deploy it to Kubernetes using Helm. You have two services: 'user-service and 'order-service. The 'order-service depends on the "user-service'. How would you use Helm to manage these deployments, ensuring that the 'order- service' only starts after the 'user-service' is successfully deployed and running?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Helm Chart for Each Service:
- 'user-service' chart:
- Create a 'values.yamr file for the 'user-service' chart.
- Define the container image, resources, and any other necessary configurations for the 'user-service'.
- 'order-service' chart:
- Create a 'values-yamr file for the 'order-service' chart
- Define the container image, resources, and any other necessary configurations for the 'order-service'
- In tne 'values.yamr, add a dependency on the 'user-service' chart.
2. Configure Helm for Dependency Management: - Use the '-dependency-update' flag to ensure that Helm automatically updates the 'user-service chart before deploying the 'order-service' bash helm dependency update order-service 3. Deploy the Services Using Helm: - Deploy the 'user-service chart: bash helm install user-service Juser-service - Deploy the 'order-service' chart: bash helm install order-service ./order-service - Helm will automatically handle the dependency between the services, ensuring that the 'user-services is deployed before the 'order-service' 4. Verify Deployment and Dependency: - Use ' kubectl get pods -l app=user-service' and 'kubectl get pods -l app=order-service' to verify that the pods are running. - You Should observe that the 'user-service' pods are up and running before the 'order-services pods start. - You can also use 'kubectl describe pod' to see the pod events and confirm that the 'order-service' pod is waiting for the 'user-service' to be ready before starting.,
NEW QUESTION # 194
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