I have an AKS cluster in a VNET/Subnet. My AKS is linked to AzureML.
I successfully deployed an Azure ML service to that AKS.
However, I see that the azureml-fe service is responding to a public IP and not a private IP from my VNET/Subnet.
How can I make it so my AzureML inference service is exposed with a private IP?
Maybe you need to use an internal load balancer, then it will use a private IP address. Here is the example code for Python:
from azureml.core.compute.aks import AksUpdateConfiguration
from azureml.core.compute import AksCompute, ComputeTarget
# When you create an AKS cluster, you can specify Internal Load Balancer to be created with provisioning_config object
provisioning_config = AksCompute.provisioning_configuration(load_balancer_type = 'InternalLoadBalancer')
# when you attach an AKS cluster, you can update the cluster to use internal load balancer after attach
aks_target = AksCompute(ws,"myaks")
# Change to the name of the subnet that contains AKS
subnet_name = "default"
# Update AKS configuration to use an internal load balancer
update_config = AksUpdateConfiguration(None, "InternalLoadBalancer", subnet_name)
aks_target.update(update_config)
# Wait for the operation to complete
aks_target.wait_for_completion(show_output = True)
Related
When i try to create aks using azure cli using the following command :
"az aks create -n myCluster -g myResourceGroup --network-plugin azure --enable-managed-identity -a ingress-appgw --appgw-name myApplicationGateway --appgw-subnet-cidr "10.2.0.0/16" --generate-ssh-keys"
I get the below error.
"(IngressAppGwAddonConfigInvalidSubnetCIDRNotContainedWithinVirtualNetwork) Subnet Prefix '10.2.0.0/16' specified for IngressApplicationGateway addon is not contained within the AKS Agent Pool's Virtual Network address prefixes '[10.224.0.0/12]'.
Code: IngressAppGwAddonConfigInvalidSubnetCIDRNotContainedWithinVirtualNetwork
Message: Subnet Prefix '10.2.0.0/16' specified for IngressApplicationGateway addon is not contained within the AKS Agent Pool's Virtual Network address prefixes '[10.224.0.0/12]'.
Target: AddonProfiles.IngressApplicationGateway"
Any idea why i get this error ? or how to fix it.
I see that you have used the Tutorial: Enable the Ingress Controller add-on for a new AKS cluster with a new Application Gateway instance tutorial.
I had some trouble creating a new AKS cluster with a command similar to yours. For azure-cli version 2.35.0 in Apr 06, 2022 when it was released the command you issued worked fine.
Something changed that broke the tutorial so... The Subnet CIDR you specify with --appgw-subnet-cidr should be a /16 subnet in the usable host range of 10.224.0.0/12.
That leaves you with the choice between the range of 10.224.0.0 - 10.239.0.0. I used subnet 10.225.0.0/16 for my deployment.
Seems your AKS cluster Virtual Network address space is overlap with virtual network of application gateway
When using an AKS cluster and Application Gateway in separate virtual
networks, the address spaces of the two virtual networks must not
overlap.The default address space that an AKS cluster deploys in is
10.0.0.0/8. so we set the Application Gateway virtual network address prefix to 11.0.0.0/8.
Would suggest you to please refer this microsft document to Enable the AGIC add-on in existing AKS cluster through Azure CLI to avoid the error.
I would like to provision an AKS cluster that is connected to a vnet and has an internal load balancer on Azure. I am using code from here that looks like this:
import azureml.core
from azureml.core.compute import AksCompute, ComputeTarget
# Verify that cluster does not exist already
try:
aks_target = AksCompute(workspace=ws, name=aks_cluster_name)
print("Found existing aks cluster")
except:
print("Creating new aks cluster")
# Subnet to use for AKS
subnet_name = "default"
# Create AKS configuration
prov_config=AksCompute.provisioning_configuration(load_balancer_type="InternalLoadBalancer")
# Set info for existing virtual network to create the cluster in
prov_config.vnet_resourcegroup_name = "myvnetresourcegroup"
prov_config.vnet_name = "myvnetname"
prov_config.service_cidr = "10.0.0.0/16"
prov_config.dns_service_ip = "10.0.0.10"
prov_config.subnet_name = subnet_name
prov_config.docker_bridge_cidr = "172.17.0.1/16"
# Create compute target
aks_target = ComputeTarget.create(workspace = ws, name = "myaks", provisioning_configuration = prov_config)
# Wait for the operation to complete
aks_target.wait_for_completion(show_output = True)
However, I get the following error
K8s failed to assign an IP for Load Balancer after waiting for an hour.
Is this because the AKS cluster does not yet have a 'network contributor' role for the vnet resource group? Is the only way to get this to work to first create AKS outside of AMLS, grant the network contributor role to the vnet resource group, then attach the AKS cluster to AMLS and configure the internal load balancer afterwards?
I was able to get this to work by first creating an AKS resource without an internal load balancer, then separately updating the load balancer following this code:
import azureml.core
from azureml.core.compute.aks import AksUpdateConfiguration
from azureml.core.compute import AksCompute
# ws = workspace object. Creation not shown in this snippet
aks_target = AksCompute(ws,"myaks")
# Change to the name of the subnet that contains AKS
subnet_name = "default"
# Update AKS configuration to use an internal load balancer
update_config = AksUpdateConfiguration(None, "InternalLoadBalancer", subnet_name)
aks_target.update(update_config)
# Wait for the operation to complete
aks_target.wait_for_completion(show_output = True)
No network contributor role was required.
I have a VM that hosts an Azure DevOps agent. The VM does not have a public IP. I can run deployments to AKS fine without api-server-authorized-ip-ranges using kubectl apply (getting a .kube config via az).
Once I add an authorised IP range I can no longer run deployments. I can't add a private IP range as I get this exception:
--api-server-authorized-ip-ranges must be global non-reserved addresses or CIDRs
Due to various policies I am unable give my VM a public IP. Is there anyway around this?
You can't use api-server-authorized-ip-ranges option with private IPs. The IPs must be public as described here, or alternatively you can create a private AKS cluster
I'm developing an app using GCP managed Cloud Run and MongoDB Atlas. If I allow connection from anywhere for IP Whitelist of Atlas, Cloud Run perfectly works well with MongoDB Atlas. However, I want to restrict connection only for necessary IPs but I cloud't find outbound IPs of Cloud Run. Any way to know the outbound IPs?
Update (October 2020): Cloud Run has now launched VPC egress feature that lets you configure a static IP for outbound requests through Cloud NAT. You can follow this step by step guide in the documentation to configure a static IP to whitelist at MongoDB Atlas.
Until Cloud Run starts supporting Cloud NAT or Serverless VPC Access, unfortunately this is not supported.
As #Steren has mentioned, you can create a SOCKS proxy by running a ssh client that routes the traffic through a GCE VM instance that has a static external IP address.
I have blogged about it here: https://ahmet.im/blog/cloud-run-static-ip/, and you can find step-by-step instructions with a working example at: https://github.com/ahmetb/cloud-run-static-outbound-ip
Cloud Run (like all scalable serverless products) does not give you dedicated IP addresses that are known to be the origination of outgoing traffic. See also: Possible to get static IP address for Google Cloud Functions?
Cloud Run services do no get static IPs.
A solution is to send your outbound requests through a proxy that has a static IP.
For example in Python:
import requests
import sys
from flask import Flask
import os
app = Flask(__name__)
#app.route("/")
def hello():
proxy = os.environ.get('PROXY')
proxyDict = {
"http": proxy,
"https": proxy
}
r = requests.get('http://ifconfig.me/ip', proxies=proxyDict)
return 'You connected from IP address: ' + r.text
With the PROXY environemnt variable containing the IP or URL of your proxy (see here to set an environment variable )
For this proxy, you can either:
create it yourself, for example using a Compute Engine VM with a static public IP address running squid, this likely fits in the Compute Engine free tier.
use a service that offers a proxy with static IP, for example https://www.quotaguard.com/static-ip/ that starts at $19/m
I personally used this second solution. The service gives me a URL that includes a username and password, that I then use as a proxy using the code above.
This feature is now released in beta by the Cloud Run team:
https://cloud.google.com/run/docs/configuring/static-outbound-ip
I have created a Kubernetes cluster in GKE. The first thing I tried was deploying the cluster, creating a deployment, a service (type: NodePort) and I've created an Ingress above my service.
I was able to visit my pod using a public IP now. This is all working fine but now I want to create a cluster from which I can access the services in my browser using a private IP, but I don't want others to access it.
I've created a new cluster but I've disabled the HTTP loadbalancing addon. So this isn't created inside my cluster. Now I made a new deployment, created a new service which type is ClusterIP.
Now I seem to have a private service, but how can I access this in my browser?
Is it possible to create a VPN solution in GKE to connect to the cluster and get some IP from inside the cluster which will allow me to access the private services in my cluster?
If I'm misunderstanding something, please feel free to correct me.