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@dentiny dentiny commented Aug 15, 2025

Summary

Briefly explain what this PR does.

Related Issues

Closes # or links to related issues.

Changes

Checklist

  • Code builds correctly
  • Tests have been added or updated
  • Documentation updated if necessary
  • I have reviewed my own changes

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Summary of Changes

Hello @dentiny, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces the foundational Kubernetes configurations required to deploy the moonlink application and its associated data server on AWS. It defines a deployment for the moonlink service and an Nginx data server, along with a service to expose these components via a LoadBalancer, enabling external access and readiness checks.

Highlights

  • Kubernetes Deployment for Moonlink: Defines a Kubernetes Deployment for the moonlink-deployment which includes both the moonlink_service container and an nginx container. It configures resource requests/limits, ports (3030, 3031, 5050), and a readiness probe for the moonlink_service.
  • Nginx Data Server Configuration: Integrates an nginx container within the moonlink-deployment to serve data plane requests, mounting a shared empty directory for content.
  • Kubernetes Service for Moonlink: Creates a Kubernetes Service of type LoadBalancer to expose the moonlink-deployment. This service maps external ports to internal container ports for data (8080->80), REST API (3030->3030), TCP RPC (3031->3031), and readiness checks (5050->5050).
  • Shared Volume for Inter-Container Communication: Establishes a shared emptyDir volume named shared-cache-directory to facilitate data exchange between the moonlink_service and nginx containers.
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Code Review

This pull request introduces Kubernetes deployment and service configurations for an AWS production environment. My review focuses on ensuring these configurations adhere to best practices for production systems, covering aspects like high availability, security, image management, and health checks. I've identified several areas for improvement, such as increasing the replica count for redundancy, using an appropriate container registry for AWS, adding a liveness probe for better health monitoring, and avoiding mutable image tags to ensure deployment stability.


# Data server, which serves data plane requests.
- name: nginx
image: nginx:latest

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critical

Using the :latest tag for a production container image is a critical risk. The latest tag is mutable and can point to different versions of the image over time. This can lead to unpredictable behavior and makes it difficult to track which version of the image is running or to perform rollbacks. Please use a specific, immutable image tag (e.g., nginx:1.25.3) to ensure your deployments are deterministic and reliable.

        image: nginx:1.25.3

metadata:
name: moonlink-deployment
spec:
replicas: 1

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high

For a production deployment, using a single replica creates a single point of failure. If this pod fails, the service will be unavailable. Please consider increasing the number of replicas to at least 2 to ensure high availability.

  replicas: 2

containers:
# Moonlink deployment, which serves REST API and TCP rpc requests.
- name: moonlink-deployment
image: us-west1-docker.pkg.dev/coral-ring-465417-r0/moonlink-standalone-experiment/moonlink-deployment:478dc9ee-cc19-48f9-b741-21e6e8b27de7

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high

The Docker image is being pulled from Google Artifact Registry (us-west1-docker.pkg.dev). For a deployment on AWS, it is highly recommended to use AWS Elastic Container Registry (ECR). This will reduce cross-cloud data transfer costs and improve image pull latency, leading to faster pod startups and better performance.

Comment on lines +21 to +54
- name: moonlink-deployment
image: us-west1-docker.pkg.dev/coral-ring-465417-r0/moonlink-standalone-experiment/moonlink-deployment:478dc9ee-cc19-48f9-b741-21e6e8b27de7
command: ["/app/moonlink_service"]
args:
- "/tmp/moonlink"
- "--no-rest-api"
- "--tcp-port=3031"
# TODO(hjiang): Revisit before release and production deployment, use a dummy guaranteed QoS for now.
resources:
requests:
cpu: "500m"
memory: "1Gi"
limits:
cpu: "500m"
memory: "1Gi"
env:
volumeMounts:
- name: shared-cache-directory
mountPath: /tmp/moonlink
ports:
# Port number for REST API server.
- containerPort: 3030
# Port number for TCP rpc server.
- containerPort: 3031
# Port number for readiness probe.
- containerPort: 5050
readinessProbe:
httpGet:
path: /ready
port: 5050
initialDelaySeconds: 2
periodSeconds: 5
timeoutSeconds: 1
failureThreshold: 3

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high

The moonlink-deployment container has a readinessProbe but is missing a livenessProbe. A liveness probe is crucial for production workloads as it allows Kubernetes to detect if an application is in an unrecoverable state (e.g., deadlocked) and restart it automatically. Please add a livenessProbe to improve the reliability of the service.

You can often use the same endpoint as the readiness probe, for example:

        livenessProbe:
          httpGet:
            path: /ready
            port: 5050
          initialDelaySeconds: 15
          periodSeconds: 20

Comment on lines +26 to +30
# Exposed port for readiness check.
- name: readiness
protocol: TCP
port: 5050
targetPort: 5050

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medium

Exposing the readiness probe port (5050) on a public-facing LoadBalancer is not recommended. This endpoint is intended for internal cluster health checks. Exposing it publicly is unnecessary and could present a minor security risk by revealing information about your internal services. The readiness probe will function correctly without being exposed in the service definition. Please remove this port from the service.

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