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Yes—Google’s Online Boutique is intended to work on Kubernetes clusters beyond GKE, so deploying it to EKS need not require application-source changes. But the upstream project’s documented quickstart targets GKE, and a running frontend on EKS would not by itself establish a production-ready deployment. You still need an EKS-specific plan for cluster infrastructure, public traffic, and operations—and evidence of what you actually configured.
What you are deploying—and what “zero app code changes” means
Online Boutique is a cloud-first e-commerce demonstration application. Google’s project README describes 11 services written in different languages that communicate over gRPC. The sample lets users browse products, add items to a cart, and complete a purchase flow. Payment, shipping, and email behavior are mocked; it is not a complete production commerce platform.
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The README says, “This application works on any Kubernetes cluster.” Its quickstart, however, is explicitly for GKE: it clones the project’s v0 branch, creates a GKE cluster, applies ./release/kubernetes-manifests.yaml, and checks the frontend service address. That supports adapting the application to EKS; it does not establish that the default manifests create a production EKS deployment unchanged.
“Zero app code changes” is a claim about what changed, not a property guaranteed by Kubernetes portability. To substantiate it, identify the exact upstream tag or commit, show that application source was not edited, and distinguish source changes from infrastructure and Kubernetes-manifest changes. If you alter a manifest to configure AWS networking or expose the frontend, that may still be zero application-source changes, but it is not an unchanged deployment.
#1 Best Overall
Choose the EKS infrastructure and load-balancing path
Before applying the application manifests, decide how EKS will run workloads and expose the frontend. AWS’s EKS Auto Mode quickstart describes a managed infrastructure path: its eksctl template creates a VPC with public and private endpoints, and Auto Mode can provision nodes dynamically, an Application Load Balancer for Ingress, and block storage. That guide deploys a 2048 sample, not Online Boutique; treat it as an EKS platform reference, not an app-specific recipe.
A conventional EKS arrangement can instead use managed node groups and the AWS Load Balancer Controller. AWS recommends the controller to reconcile Kubernetes Service and Ingress resources. Its documentation describes ALB for HTTP/HTTPS and NLB for TCP/UDP or requirements to preserve client source IP. The controller path requires appropriate Kubernetes resources and configuration, including annotations where applicable. AWS says Auto Mode provides load-balancing capability without installing that controller.
Rank #2
| Decision | EKS Auto Mode | Conventional EKS with AWS Load Balancer Controller |
|---|---|---|
| Node provisioning | AWS describes dynamic node provisioning in its Auto Mode quickstart. | Managed node groups are covered by AWS reliability guidance; node provisioning details depend on the configuration. |
| Load-balancer integration | AWS describes ALB provisioning for Ingress without installing the controller. | The controller reconciles Kubernetes Service and Ingress resources; configure the relevant resource and annotations. |
| Storage | AWS’s Auto Mode quickstart describes block-storage provisioning. | Not established by the cited load-balancing guidance; choose and configure storage for the workload. |
| Operational control and workload fit | The cited AWS guidance does not establish which mode is preferable for a particular workload. | The cited AWS guidance does not establish which mode is preferable for a particular workload. |
For a browser-facing storefront, the protocol distinction points toward an ALB when routing HTTP or HTTPS. An NLB is the relevant alternative when the service needs TCP/UDP handling or client source-IP preservation. The documentation does not specify a deployment’s target type, health-check settings, TLS termination, domain, or chosen ingress resource; report those only when confirmed in the actual configuration.
Deploy the application to EKS without claiming an unverified run
The project’s GKE quickstart is a useful reference for the application manifests, but it does not supply the EKS cluster configuration or prove that its frontend exposure works as intended on AWS. A reproducible EKS walkthrough therefore needs to record the choices below rather than silently treating a GKE command sequence as an EKS procedure.
- Pin the application revision. Record the precise upstream tag or commit you use. The README’s quickstart refers to the
v0branch; a branch name alone is not an immutable revision. - Document the cluster. State the EKS Kubernetes version, AWS region, cluster mode, node configuration, IAM approach, and VPC and subnet design. The cited materials do not provide values for a particular deployment.
- Configure frontend exposure for the selected EKS mode. Identify whether Auto Mode or the AWS Load Balancer Controller handles the workload, and specify the Service or Ingress resource and its relevant configuration. Document ALB versus NLB, target type, health checks, and TLS and domain handling only if they are actually configured.
- Apply and inspect the application manifests. The upstream README applies
./release/kubernetes-manifests.yamlin its GKE quickstart. For EKS, record any manifest changes needed for your chosen AWS integration and show that those changes did not modify application source if claiming zero app-code changes. - Verify both workload readiness and the user path. Check that the services and Pods become ready, then verify that the frontend is reachable through the configured AWS endpoint and that its health checks pass. The README’s sample readiness output is from its GKE quickstart, not an EKS test result.
- Record teardown and cost boundaries. State how the cluster and associated AWS resources are removed and which resources may continue to incur charges. The cited sources do not establish deployment-specific costs.
What turns a running demo into an operational service
Production readiness is a separate claim from successful startup. AWS’s EKS reliability guidance distinguishes responsibility for the managed control plane from shared responsibility for data-plane reliability. For managed node groups, AWS builds patched EKS-optimized AMIs, but customers are responsible for deploying patched AMI versions to their node groups. A production account should therefore document its node update process and how it handles workload availability during updates.
- Reliability: document the workload’s availability design, scaling behavior, disruption handling, and recovery expectations. A successful first rollout does not establish high availability or disaster recovery.
- Network and security controls: record the controls actually applied to cluster access, workload communication, and public exposure. AWS’s network-security guidance treats these as design concerns; a public frontend alone is not evidence that the controls are adequate.
- Observability: decide how logs, metrics, and traces are collected and retained. AWS notes that Kubernetes does not automatically retain Pod logs, and distributed microservices call for component-level monitoring, logging, and tracing.
- Ongoing support: identify who monitors the service, responds to failures, applies updates, and validates recovery. The sample application’s successful launch does not establish operational ownership or support coverage.
Unless these controls are implemented and evidenced, describe the result as a demo deployed on EKS rather than a full production setup. The cited AWS guidance explains platform responsibilities and design considerations; it does not verify the state of any particular cluster.
Rank #4
Evidence to publish with a deployment claim
A credible account of an EKS deployment should let another engineer understand what was run and distinguish verified facts from intended configuration. Include the upstream revision; EKS version and region; cluster mode and node setup; IAM and network design; frontend Service or Ingress and load-balancer integration; and the checks used to confirm readiness and reachability. If claiming production readiness, also describe the update process, security controls, reliability behavior, and observability actually in place. If claiming no app-code changes, identify the source revision and disclose infrastructure or manifest changes separately.
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