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2. Please use English, otherwise it will be closed.
Motivation
This feature proposes adding Kubernetes service discovery support to the router component. Service discovery will enable the router to dynamically identify and connect to backend services running in a Kubernetes cluster. This is particularly useful for distributed systems where backend instances may scale up or down dynamically.
# Load Kubernetes configuration (e.g., from kubeconfig or in-cluster config)load_kube_config()
# Initialize Kubernetes API clientapi_client=CoreV1Api()
# Define the service name and namespaceservice_name="my-service"namespace="default"# Step 1: Get the service's selectortry:
service=api_client.read_namespaced_service(service_name, namespace)
selector=service.spec.selector# e.g., {"app": "my-app"}exceptApiExceptionase:
print(f"Error fetching service: {e}")
exit(1)
# Step 2: List pods matching the selectortry:
label_selector=",".join([f"{k}={v}"fork, vinselector.items()]) # e.g., "app=my-app"pods=api_client.list_namespaced_pod(namespace, label_selector=label_selector)
exceptApiExceptionase:
print(f"Error listing pods: {e}")
exit(1)
# Step 3: Extract pod IPspod_ips= []
forpodinpods.items:
pod_name=pod.metadata.namepod_ip=pod.status.pod_ipifpod_ip:
pod_ips.append((pod_name, pod_ip))
else:
print(f"Pod {pod_name} does not have an IP assigned yet.")
# Step 4: Output the resultsprint("Pods and their IPs:")
forpod_name, pod_ipinpod_ips:
print(f"- {pod_name}: {pod_ip}")
Checklist
Motivation
This feature proposes adding Kubernetes service discovery support to the router component. Service discovery will enable the router to dynamically identify and connect to backend services running in a Kubernetes cluster. This is particularly useful for distributed systems where backend instances may scale up or down dynamically.
UI/UX
Pseudo code
Related resources
Maybe related to #2932
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