Kubernetes helps deploy, scale, and manage containerized applications during the transition from tested software to production. It makes application management more straightforward than running Docker images directly on EC2 instances and can automatically repair failed pod lifecycles. section 7.0 section 7.5
A practical AWS deployment uses several connected pieces:
- Define the desired application state in a YAML deployment descriptor, typically deployment.yaml. Kubernetes compares that state with the running system and makes corrections as needed. section 7.5
- Point the deployment at an image stored in Amazon Elastic Container Registry (ECR), then grant Amazon Elastic Kubernetes Service (EKS) permission to pull it. section 7.5
- Create a service to expose the pods externally and distribute network traffic to the selected application pods. section 7.5 section 7.7
- Use an AI coding assistant to draft deployment YAML and IAM policies, then review the generated configuration and apply the required permissions. section 7.0 section 7.5
Expose a containerized application
A deployment can run the ITAM container with one replica on port 8000. A LoadBalancer service can select pods labeled app: itam, expose port 80, and forward traffic to targetPort 8000. Replace the example image with its ECR address and configure EKS permissions before deploying.
