I have 2 GKE cluster both private and public and using cloudproxy as sidecar container for gke app to access cloudsql instance.
public cluster setup for development/testing
Cloud SQL is enabled with both private and public IP.
GKE app is using cloudproxy with default option of ip types (public,private) as below
Cloud SQL doesn't have any authorized network.
In this case, my app is able to connect CloudSQL and works smoothly. As far as I understand, here connection to cloudsql should be happening with private becuase there is no authorised network configured.
private cluster setup for production
Cloud SQL is enabled with both private and public IP.
GKE app is using cloudproxy with default option of ip types (public,private)
cloudsql-proxy setting in deployment file
- name: cloudsql-proxy
image: gcr.io/cloudsql-docker/gce-proxy:1.11
command: ["/cloud_sql_proxy"]
args: ["-instances=$(REAL_DB_HOST)=tcp:$(REAL_DB_PORT)","-credential_file=/secrets/cloudsql/credentials.json"]
case 1
Cloud SQL doesn't have any authorized network.
Result: Application is not able to connect with Cloud SQL
case 2
Cloud SQL have private GKE NAT gateway as authorized network
Result: Application is not able to connect with Cloud SQL
May be removing cloudproxy from application will work (I am yet to test) but it discourages the usage of proxy during dev env as it will need changes in deployment file during production deployment.
I am not able to understand what is causing the connection failure with cloudproxy in gke private cluster. Should we not use cloudproxy in private cluster?
Update
The reason due to which cloud proxy not able to connect cloud sql was disabled Cloud SQL Admin API. I have updated my answer in answer section.
It looks like the question here is "Should we use the Cloud SQL proxy in a private cluster?" and that answer is "it depends". It's not required to connect, but it allows for more security because you can restrict unnecessary access to your Cloud SQL server.
The Cloud SQL proxy doesn't provide connectivity for you application - it only provides authentication. It has to be able to connect via the existing path, but then uses the Service Account's IAM roles to authenticate the connection. This also means that it doesn't have to come from a whitelisted network because it's been authenticated by a different means.
If you want to use the proxy to connect via Private IP (instead of defaulting to public), use the -ip_address_types=PRIVATE - this will tell the proxy to connect with the instance's Private IP instead. (Please note that if the proxy lacks a network path (eg, isn't on the VPC) that proxy will still be unable to connect.)
#kurtisvg has provided an informative answer to it.
However the real issue was SQL Admin API and enabling it fixed the issue. After looking into the logs I found below entry.
Error 403: Access Not Configured. Cloud SQL Admin API has not been used in project XXXXXX before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/sqladmin.googleapis.com/overview?
The issue for me was enabling Private cluster in GKE cluster :(
Because of private GKE cluster it wasn't having access to external IP addresses and fix was to create a NAT gateway with cloud router as per https://cloud.google.com/nat/docs/gke-example.
Hint if it's the issue is you won't be able to ping to google.com etc from the container after logging into it.
Related
I deployed a containerized app to my IBM Cloud Kubernetes service in a VPC. The app uses App ID for authentication. The deployment pipeline ran successfully. The app seems ready, but when accessing its URL it gives an internal server error (500 status code).
From the Kubernetes dashboard I found that the ALB Oauth Proxy add-on is failing. It is deployed, but does not start.
The deployment seems to fail in the health checks (ping not successful). From the POD logs I found the following as last (and only) entry:
[provider.go:55] Performing OIDC Discovery...
Else, there is not much. Any advise?
Guessing from the missing logs and the failing pings, it seemed related to some network setup. Checking the VPC itself, I found that there was no Public Gateway attached to the subnet. Enabling it allowed outbound traffic. The oauth proxy could contact the App ID instance. The app is working as expected now.
Make sure that the VPC subnets allow outbound traffic and have a Public Gateway enabled.
Google has nice ways to connect to cloudsql from other google services but I cannot see how to connect from ai-platform jobs. As part of our training job, we need to update our cloudsql db with metrics but the only I could get it to work is by whitelisting all IPs (don't want that!) in the cloudsql and connecting via the public IP. I don't see an option to add cloud-sql-proxy to the trainer instance. Since the IP of the trainer instance is dynamic, we cannot reliably add specific IP address to whitelist. Any other ways to handle this?
It looks like AI Platform supports VPC peering, so you should be able to connect to Cloud SQL using private IP.
Since Cloud SQL also uses VPC peering, you'll likely need to do the following to get the resources to connect:
Create a VPC to share (or use the "default" VPC)
Follow the steps here to setup VPC peering for AI Platform in your VPC.
Follow the steps here to setup a private IP for your instance in your VPC.
Since the resources are technically in different networks, you may need to export custom routes (Step #2) to allow the AI platform access to your Cloud SQL instance.
Alternatively to using private IP, you could keep using public IP w/ an IP allowlist coupled with Authorizing with SSL/TLS certificates. This still isn't as secure as using the proxy or private IP (as users are technically able to connect to your instance), but they'll be unable to interact with the database engine without the correct certificates.
Can you publish a PubSub message from within your training job and have it trigger a cloud function that connects to the database? AI Platform training seems to have IAM restrictions that I too am curious how to control.
I can't connect from azure resource (aks node) to Azure postgres using pgcli. I also tried directly from node and got the same error message:
FATAL: Client from Azure Virtual Networks is not allowed to access the server. Please make sure your Virtual Network is correctly configured.
Firewall rules in the resource are on:
Allow access to Azure services: ON
Running the same pgcli login command on my computer and on another azure resource seems to work fine.
Adding Firewall rules to all IPs return the same error.
Curl from the problematic server (host:5432) returns a reply, so it's not an outbound issue.
What does the error mean?
A VM where the connection originates from is deployed to a virtual network subnet where Microsoft.Sql service endpoint is turned on. Per documentation:
If Microsoft.Sql is enabled in a subnet, it indicates that you only want to use VNet rules to connect. Non-VNet firewall rules of resources in that subnet will not work.
For connection to succeed there must be a VNet rule added on PostgreSQL side. At the time the question was asked VNet Service Endpoints for Azure Database for PostgreSQL just got to public preview so I assume it might not have been available for the OP.
Solution
As of November 2020, Service Endpoints for Postgres is GA and instead of disabling the service endpoint one can add a missing VNet rule to the PostgreSQL server instance and reference the service endpoint-enabled subnet. It can be done via Portal or Azure CLI
Apparently, the vm is part of a vnet that a service endpoint tag Microsoft.sql was enabled.
I found this answer. To solve the problem I disabled the service endpoint and added the public IP to the Connection Security section.
I encountered the same problem.
All I did was to switch Allow access to Azure services to ON .
Should I be able to setup secure gateway to be able to connect to my on-prem SQL server DB, using SQL Server Management Studio on my laptop from home (not on prem)?
You don't "have to" use the secure gateway in order for your application on the cloud to see your local db. You could simply give your application the public ip (and port) of the local machine and they should work fine.
It is however a good practise to use the Secure Gateway service as it can ensure the security of the local-to-cloud communication. Make sure to have a look at the documentation to learn how the service works - https://console.ng.bluemix.net/docs/services/SecureGateway/secure_gateway.html
is it possible to access Google Cloud SQL from Google Compute Engine using the private network?
It appears that Google Cloud SQL sees the public network IP for the Google Compute Engine instance.
And, the web console doesn't allow entering the instance private address.
No it is not possible to access Google Cloud SQL instances via a private IP address.
This this page confirms this, it says Note: You must use the external (public) IP address of the GCE instance ...when configuring Authorized IP Addresses to your cloud sql instance from your GCE instance.
This is now available via private services access and VPC Network Peering.
The announcement:
https://cloud.google.com/blog/products/databases/introducing-private-networking-connection-for-cloud-sql
Details:
https://cloud.google.com/sql/docs/postgres/private-ip
You can't access cloud sql from a private IP address but you can whitelist NAT instance's Public IP in order to access cloudsql from private server.