Master Microservices with Spring Boot and Spring Cloud - Step 09 – Understanding Deployment in Kubernetes

The video tutorial explains the importance of deployments in Kubernetes, focusing on updating application versions without downtime. It covers the process of setting images for deployments, handling errors, and understanding the rolling update strategy. The tutorial provides insights into the deployment process, demonstrating how Kubernetes manages replica sets and pods during updates. It emphasizes the importance of executing commands to understand the background processes and ensure successful deployments.

Why is zero downtime important when updating applications?

• To ensure continuous availability of services

• To increase application speed

• To improve user interface

• To reduce server costs

What command is used to set a new image for a deployment in Kubernetes?

• kubectl change image

• kubectl set image

• kubectl deploy image

• kubectl update image

What happens if an invalid image is set during a deployment?

• The old version continues to run

• The system automatically corrects the error

• The application crashes immediately

• The deployment is paused until corrected

How does Kubernetes handle a failed pod due to an invalid image?

• It retries the deployment with a default image

• It deletes the pod immediately

• It stops all running pods

• It marks the pod with an invalid image status

What is the role of a replica set in a Kubernetes deployment?

• To manage the number of pod replicas

• To update the application code

• To store application logs

• To handle network traffic

What is the first step to correct a deployment with an invalid image?

• Restart the Kubernetes cluster

• Set the correct image path

• Increase the number of replicas

• Delete the deployment

What does the rolling update strategy in Kubernetes aim to achieve?

• Update with minimal resource usage

• Update with maximum speed

• Gradual update with zero downtime

• Immediate update of all instances

During a rolling update, what happens after a new pod is successfully launched?

• The old pod is immediately deleted

• The deployment is paused

• The number of old pods is reduced

• The new pod is tested for errors

What is the default strategy used by Kubernetes for deployments?

• Rolling Update

• Recreate Strategy

• Canary Deployment

• Blue-Green Deployment

How does Kubernetes ensure that traffic is directed to the new version during a rolling update?

• By using a load balancer

• By gradually scaling up new pods and scaling down old ones

• By immediately deleting all old pods

• By redirecting traffic manually