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| Section | Weight | Objectives |
|---|---|---|
| Services and Networking | 20% | - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services |
| Application Observability and Maintenance | 15% | - Debugging in Kubernetes - Implement probes and health checks - Understand API deprecation policies - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs |
| Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use the Helm package manager to deploy existing packages - Kustomize - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) |
| Application Environment, Configuration and Security | 25% | - ConfigMaps and Secrets - Understanding and defining resource requirements, limits and quotas - SecurityContexts - Discover and use resources that extend Kubernetes (CRD, Operators) - ServiceAccounts - Understand authentication, authorization and admission control |
| Application Design and Build | 20% | - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Utilize persistent and ephemeral volumes - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
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NEW QUESTION # 195
You have a microservice that is deployed in a Kubernetes cluster, and you want to monitor its performance and health using Prometheus and Grafan a. How can you configure Prometneus to scrape metrics from your microservice and create dashboards in Grafana?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Enable Metrics in Your Microservice:
- Ensure your microservice exposes metrics through an HTTP endpoint using a library like Prometheus Client (for Java), Go metrics, or StatsD.
- Define metrics such as request count, latency, error rate, and other relevant performance indicators.
2. Deploy Prometheus:
- Deploy Prometheus using a 'Deployment and a 'Service'
- Configure Prometheus to scrape metrics trom the microservice by adding its endpoint to the 'scrape_configs' in the 'prometheus.yaml' file.
3. Create a Service for Prometheus to Access the Microservice: - Create a 'Service' of type 'ClusterlP' that exposes the microservice's metrics endpoint (usually port 9100). - Ensure Prometheus can reacn this service. 4. Deploy Grafana: - Deploy Gratana using a 'Deployment' and a 'Service' - Configure Grafana to connect to Prometheus as a data source. 5. Create Dashboards in Grafana: - Use Grafana's dashboard builder to create custom dashboards that visualize the metrics collected by Prometheus. - Add panels to display graphs, charts, and tables that show the performance and health ot your microservice. 6. Configure Alerts in Grafana: - Configure alerts in Grafana based on specific metrics and thresholds. - Set up notifications to alert you when critical issues arise with the microservice. Note: This approach provides comprehensive monitoring for your microservice. Prometheus scrapes metrics from the microservice, stores them in its time series database, and Grafana visualizes these metrics and provides alerts for potential issues. Example Prometheus Scrape Configuration:
Example Grafana Dashboard: - Create a dashboard with panels that show the following metrics: - Request count per minute - Average request latency - Error rate - CPU and memory usage of the microservice container - Set up alerts to notify you it: - The request count exceeds a certain threshold - The average latency exceeds a certain threshold - The error rate exceeds a certain threshold - The CPU or memory usage exceeds a certain threshold,
NEW QUESTION # 196
You have a Kubernetes cluster running a microservices application. The application nas a set of microservices deployed as Deployments, each with their own set of resource requests and limits- You want to implement a monitoring system to track the resource utilization of these microservices.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install Prometheus: Prometheus is an open-source monitoring system that collects and stores metrics. You can install Prometheus in your Kubernetes cluster using a Deployment:
2 Create a ConfigMap for Prometheus: Define a ConfigMap to configure Prometheus with the desired scrape targets and other settings:
3. Create a Service for Prometheus: Create a Service to expose Prometheus outside the cluster:
4. Install Grafana: Grafana is a popular open-source dashboard and visualization tool. You can install Grafana in your Kubernetes cluster using a Deployment:
5. Create a ConfigMap for Grafana: Create a ConfigMap to configure Grafana with Prometheus as the data source:
6. Create a Service for Grafana: Create a Service to expose Grafana outside the cluster:
T Configure Gratana: Access the Grafana web interface (using the LoadBalancer IP address) and configure a new data source for Prometheus. Specify the Prometheus Service address. 8. Create Dashboards: Create dashboards in Gratana to visualize the metrics collected by Prometheus. You can create dashboards for individual microservices, showing metrics like CPU usage, memory usage, network traffic, and response times. 9. Monitor Your Microservices: Once you have dashboards set up, you can monitor your microservices' resource utilization and performance in real time. use Grafana's alerting features to be notified of any issues or potential problems. ,
NEW QUESTION # 197
You are tasked With setting up a Kubernetes cluster With a service that exposes a web application, along with a database running as a stateful set The application needs to access the database through an internal IP address, but the database should not be accessible from outside the cluster. What are the steps involved to configure this, and what components should be used to achieve this setup?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create the Database StatefuISet:
- Define a StatefulSet for your database, ensuring it uses a persistent volume to store its data.
- Specify the database image and any necessary configuration.
- Configure a service of type 'ClusterlP' for the database, accessible only within the cluster
2. Create the Application Deployment: - Create a Deployment for your web application, specifying the application image and required ports. - Add an environment variable to the application container to define tne database connection string, using the database service's ClusterlP.
3. Create the Application Service: - Create a service of type 'LoadBalancers (or 'NodePort' if using a cloud provider) for your web application, exposing it to the outside world. - Ensure the service points to the application deployment.
4. Verify the Setup: - Ensure all resources are created successfully by running 'kubectl get all' - Access the web application through the external IP address exposed by the LoadBalancer service. - Verify that tne application can connect to the database. By following these steps, you've created a secure setup where the database is only accessible from within the cluster, while your web application can communicate With the database and expose its services to the outside world. , You have a Kubernetes cluster with multiple namespaces: 'dev', 'staging', and 'production'. You need to implement a network policy that allows pods in the 'dev' namespace to access services running in the 'staging' namespace. POdS in the 'dev' namespace should only be allowed to connect to ports 80 and 443 on the services in the 'staging' namespace. Implement the network policy configuration. A. See the solution below with Step by Step Explanation. Answer: A
NEW QUESTION # 198
You are designing a microservice architecture where a frontend application needs to communicate with multiple backend services. The services are deployed as Pods in a Kubernetes cluster- To streamline communication and security, you decide to implement a sidecar proxy pattern Explain the benefits of using a sidecar proxy in this scenario and illustrate how you would implement it using a container image like Envoy Proxy.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Understand Sidecar Proxy Pattern:
- In the sidecar proxy pattern, a proxy container runs alongside your main application container within the same Pod.
- The proxy acts as an intermediary, handling network tratfic between your application and other services.
2. Benefits of Using a Sidecar Proxy:
- Traffic Management:
- Routing requests to different backend services.
- Load balancing across multiple instances ot a service.
- Security:
- Enforcing access control and authentication.
- Handling SSL termination.
- Observability:
- Monitoring and logging network traffic.
- Simplified Development:
- Separating networking concerns from application logic.
3. Implementing with Envoy Proxy:
- Choose Envoy Proxy:
- Envoy is a popular open-source proxy designed for high-performance network communication.
- Create a Deployment YAML:
- Define a Deployment for your application, including a main container for your application code and a sidecar container for Envoy Proxy.
4. Configure Envoy: - Create a ConfigMap: - Create a ConfigMap to hold the Envoy configuration (envoy-yaml). - Define the routes, listeners, and clusters for your services.
5. Deploy the Configuration: - Apply the Deployment and ConfigMap using 'kubectl apply -f deployment.yaml' and 'kubectl apply -f configmap.yaml' 6. Test tne Setup: - Access your trontend application from outside the cluster. - Verity that traffic is routed correctly to the backend services through the Envoy proxy. 7. Optional: Service Discovery: - For more dynamic environments, you can integrate Envoy with service discovery mechanisms like Kubernetes Service or Consul to automatically update its configuration based on service changes. This configuration assumes that your backend services are named "servicel " and "service2" with ports 8080. Adjust the configuration based on your specific services and their port numbers.,
NEW QUESTION # 199
Context
Context
You are tasked to create a ConfigMap and consume the ConfigMap in a pod using a volume mount.
Task
Please complete the following:
* Create a ConfigMap named another-config containing the key/value pair: key4/value3
* start a pod named nginx-configmap containing a single container using the nginx image, and mount the key you just created into the pod under directory /also/a/path
Answer:
Explanation:
Solution:
NEW QUESTION # 200
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