See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Create a 'Deployment' object to manage your microservice.
- Specify the desired number of replicas and the container image.
- Use a 'rollinglJpdate' strategy to control the update process.

2. Control Rollout Pace: - Use the maxSurge' and 'maxlJnavailable' parameters to control the number of pods that can be unavailable or created during the update process. - For example, 'maxi-Inavailable: ensures that no pods are unavailable during tne update, while 'maxSurge: 1' allows for one extra pod to be created during the update. 3. Trigger Automatic Updates: - Use a 'Deployment's 'spec-template-spec-imagePullPolicy' to trigger updates automatically when a new image is available. - Set imagePullPolicy: Always' to force a pull of the image each time the deployment is updated. 4. Monitor Rollout Progress: - Use kubectl get pods -l app=my-microservice' to monitor the rollout progress. - You can also use tne 'kubectl rollout status deployment/my-microservice' command to get detailed information about the rollout. 5. Use Liveness and Readiness Probes: - Define liveness and readiness probes to ensure that containers are healthy and ready to serve traffic. - The 'Deployment' will automatically restart unhealthy containers, while readiness probes will ensure that new pods are only considered ready for traffic once they are healtny. 6. Traffic Routing: - Use a 'Service' to expose your 'Deployment' to external clients. - Configure the 'Service' to use a 'LoadBalancer' or 'NodePort' to make the service accessible from outside the cluster. Note: This approach ensures a smooth rollout with minimal downtime. New pods are created with the new image, and traffic is gradually shifted to the updated pods while the old pods are gracefully terminated. The liveness and readiness probes ensure that only healthy pods receive traffic, and the automatic updates triggered by 'imagePullPolicy: Always' keep the service up-to-date.