I am trying to setup a secure connection to Azure synapse studio using private link hub and private endpoint as mentioned in the below doc,
https://learn.microsoft.com/en-us/azure/synapse-analytics/security/how-to-connect-to-workspace-from-restricted-network
However, it throws an error.
"Unable to connect to serverless SQL pool because of a
network/firewall issue"
Please note- We use a VPN to connect to on-premise company network from home and access the dedicated pool using a SQL authentication. This works absolutely fine.
The private endpoint and link hub are mounted on the same subnet as the one we use for dedicated pool. So I don't think there is any problem with allowing certain ports for serverless pool. Please correct me.
What am I missing here?
Unable to connect to serverless SQL pool because of a network/firewall
issue ?
Synapse Studio
Follow this instruction for troubleshooting network and firewall:
When creating your workspace, managed virtual network should be enabled and make sure to allow all IP addresses.
Note: If you do not enable it, your synapse studio will not be able to create a private endpoint. So if you fail to do this during synapse
workspace creation. You will not be able to change this later and you
will be a force to recreate the synapse workspace.
Create a Managed private endpoint, connect to your data source and check whether the managed private endpoint is approved or not.
To know more details please Refer this link:
https://www.thedataguy.blog/azure-synapse-understanding-private-endpoints/
https://www.c-sharpcorner.com/article/how-to-setup-azure-synapse-analytics-with-private-endpoint/
How to set up access control for your Azure Synapse workspace - Azure Synapse Analytics | Microsoft Docs
This is what resolved it for me. Hope this helps someone out there.
Used Terraform for_each loop to deploy the Private Endpoints. The Synapse Workspace is using a Managed Private Network. In order to disable Public Network Access, the Private Link Hub, plus the 3 Synapse-specific endpoints (for the sub-resources) are required.
Pre-Reqs:
Private DNS Zones need to exist
Private Link Hub (deployed via TF in same resource group as the Synapse Workspace)
main.tf
# Loop through Synapse subresource names, and create Private Endpoints to each of them
resource "azurerm_private_endpoint" "this" {
for_each = var.endpoints
name = lower("pep-syn-${var.location}-${var.environment}-${each.value["alias"]}")
location = var.location
resource_group_name = var.resource_group_name
subnet_id = data.azurerm_subnet.subnet.id
private_service_connection {
name = lower("pep-syn-${var.location}-${var.environment}-${each.value["alias"]}")
private_connection_resource_id = ("${each.key}" == "web") ? azurerm_synapse_private_link_hub.this.id : azurerm_synapse_workspace.this.id
subresource_names = ["${each.key}"]
is_manual_connection = false
}
private_dns_zone_group {
name = "${each.value["source_dns_zone_group_name"]}"
private_dns_zone_ids = [var.private_dns_zone_config[each.value["source_dns_zone_group_name"]]]
}
tags = var.tags
lifecycle {
ignore_changes = [
tags
]
}
}
variables.tf
variable "endpoints" {
description = "Private Endpoint Connections required. 'web' (case-sensitive) is for the Workspace to the Private Link Hub, and Sql/Dev/SqlOnDemand (case-sensitive) are from the Synapse workspace"
type = map(map(string))
default = {
"Dev" = {
alias = "studio"
source_dns_zone_group_name = "privatelink_dev_azuresynapse_net"
}
"Sql" = {
alias = "sqlpool"
source_dns_zone_group_name = "privatelink_sql_azuresynapse_net"
}
"SqlOnDemand" = {
alias = "sqlondemand"
source_dns_zone_group_name = "privatelink_sql_azuresynapse_net"
}
"web" = {
alias = "pvtlinkhub"
source_dns_zone_group_name = "privatelink_azuresynapse_net"
}
}
}
Appendix:
https://learn.microsoft.com/en-us/azure/synapse-analytics/security/how-to-connect-to-workspace-from-restricted-network#step-4-create-private-endpoints-for-your-workspace-resource
https://learn.microsoft.com/en-gb/azure/private-link/private-endpoint-overview#private-link-resource
Related
Am I correct in assuming that it is NOT possible to put AWS managed elasticsearch (opensearch) - Kibana - behind ALB ? I would like to configure ALB so it authenticates with OKTA SSO oidc before redirecting request to Kibana (AWS managed elasticsearch).
What are the alternatives ? I see some people mentioning using lambda as proxy - putting lambda behind ALB, and then let lambda redirect request to the elasticsearch. I dont know how this could be done - did anyone had similar experiences before ? Any recommended reading regarding that?
Thank you
It is possible to configure an application load balancer to authenticate the user using Cognito service and forward requests to any application available in private subnets.
You need to create a listener rule with 2 actions:
authenticate-cognito action to redirect user to your SSO provider login page (a cognito user pool must be configured);
forward action to your target group with the application.
See an example of terraform aws_lb_listener_rule definition:
resource "aws_lb_listener_rule" "listener_rule" {
listener_arn = your_alb_listener_443_arn
action {
type = "authenticate-cognito"
authenticate_cognito {
user_pool_arn = your_cognito_user_pool.cognito_user_pool.arn
user_pool_client_id = your_user_pool_client_id
user_pool_domain = your_cognito_user_pool_domain
}
}
action {
type = "forward"
target_group_arn = your_lb_target_group_arn
}
condition {
host_header {
values = [
"your_domain" # resolves ALB endpoint
]
}
}
lifecycle {
create_before_destroy = true
}
}
As Patrick and Leo mentioned in comments, AWS OpenSearch provides fine-grained access control and has embedded SSO authentication mechanisms that lets you use your existing identity provider:
SAML authentication
AWS Cognito authentication
It works very well if your cluster is publicly available
However, documentation does not bring the light how it works when a cluster provisioned in VPC, in private subnets).
Refer to this question.
https://cloud.google.com/load-balancing/docs/https/setting-up-https-serverless#setting_up_regional_routing
I setup a GCE global load balancer and NEGs. What is unclear to me is how a NEG connects to a cloud run app. It looks like the Service name of a NEG just needs to match a corresponding cloud run app name.
I have done this but it appears it's not connected. I can't even find in the docs how to troubleshoot this linkage.
Created a neg via Terraform
resource "google_compute_region_network_endpoint_group" "neg" {
network_endpoint_type = "SERVERLESS"
region = us-east1
cloud_run {
service = "my-cloudrun-app"
}
}
Then deployed a cloud run app
gcloud run deploy my-cloudrun-app --region us-east1
My understanding is if the cloud run app name matches the service name it should connect to it. I can see the NEGs are connected to my GCE load balancer and the cloud run app was deployed successfully, but the NEG doesn't appear to be routing to my function.
I'm using this official GCP module to hook this up (it actually does make it pretty easy!) https://github.com/terraform-google-modules/terraform-google-lb-http/tree/v6.0.1/modules/serverless_negs
I found it does work the way I expected it to, the issue was just that I didn't have a cloud run app behind one of the regional NEGs I created (I thought I did). I actually created several regional NEGs, made kind of a mess, and the regional NEG the LB was routing my traffic to didn't have a corresponding cloud run app it pointed to.
How I was able to troubleshoot this:
Find the backend the load balancer was configured with
In GCP console I was able to view the backend and all the regional NEGs configured for it
Hit refresh/curl a bunch of times and saw in the gcp console on the backend's page one of the regional NEGs was actually receiving traffic- so I was at least able to see which NEG my traffic was being routed to
Realized I didn't deploy a cloud run app with a name that regional NEG was configured for
I still feel like visibility into how all these components play together could be better, but the traffic flow diagram for the Backend service details page was a life saver!
I don't know if you did that, but you need more to deploy your neg on a load balancer. Here the missing pieces
resource "google_compute_managed_ssl_certificate" "default" {
name = "cert"
managed {
domains = ["${var.domain}"]
}
}
resource "google_compute_backend_service" "default" {
name = "app-backend"
protocol = "HTTP"
port_name = "http"
timeout_sec = 30
backend {
group = google_compute_region_network_endpoint_group.neg.id
}
}
resource "google_compute_url_map" "default" {
name = "app-urlmap"
default_service = google_compute_backend_service.default.id
}
resource "google_compute_target_https_proxy" "default" {
name = "https-proxy"
url_map = google_compute_url_map.default.id
ssl_certificates = [
google_compute_managed_ssl_certificate.default.id
]
}
resource "google_compute_global_forwarding_rule" "default" {
name = "lb"
target = google_compute_target_https_proxy.default.id
port_range = "443"
ip_address = google_compute_global_address.default.address
}
resource "google_compute_global_address" "default" {
name = "address"
}
Easy?? Absolutely not. Let me know if you need more details, guidances or explanation.
Terraform now supports cloud run as documented here,
and I'm trying the example code below.
resource "google_cloud_run_service" "default" {
name = "tftest-cloudrun"
location = "us-central1"
provider = "google-beta"
metadata {
namespace = "my-project-name"
}
spec {
containers {
image = "gcr.io/cloudrun/hello"
}
}
}
Although it deploys the sample hello service with no error, when I access to the auto-generated URL, it returns 403(Forbidden) response.
Is it possible to create public cloud run api using terraform?
(When I'm creating the same service using GUI, GCP provides "Allow unauthenticated invocations" option under "Authentication" section, but there seems to be no equivalent option in terraform document...)
Just add the following code to your terraform script, which will make it publicly accessable
data "google_iam_policy" "noauth" {
binding {
role = "roles/run.invoker"
members = [
"allUsers",
]
}
}
resource "google_cloud_run_service_iam_policy" "noauth" {
location = google_cloud_run_service.default.location
project = google_cloud_run_service.default.project
service = google_cloud_run_service.default.name
policy_data = data.google_iam_policy.noauth.policy_data
}
You can also find this here
Here the deployment is only based on Knative serving spec. Cloud Run managed implements these specs but have its own internal behavior, like role check linked with IAM (not possible with Knative and a K8S cluster, this is replaced by Private/Public service). The namespace on Cloud Run managed is the projectId, a workaround to identify the project for example, not a real K8S namespace.
So, the latest news that I have from Google (I'm Cloud Run Alpha Tester) which tells they are working with Deployment Manager and Terraform for integrating Cloud Run in them. I don't have deadline, sorry.
I've been trying to setup a terraform module to create private cluster, and I'm struggling with a strange situation.
When creating a cluster with a master authorized network, if I do it through the GCP console, I can create the private cluster just fine. But when I do it with Terraform, I get a strange error:
Invalid master authorized networks: network "<cidr>" is not a reserved network, which is required for private endpoints.
The interesting parts of the code are as follows:
....
master_authorized_networks_config {
cidr_blocks {
cidr_block = "<my-network-cidr>"
}
}
private_cluster_config {
enable_private_endpoint = true
enable_private_nodes = true
master_ipv4_cidr_block = "<cidr>"
}
....
Is there something I'm forgetting here?
According to Google Cloud Platform documentation here, it should be possible to have both private and public endpoints, and the master_authorized_networks_config argument should have networks which can reach either of those endpoints.
If setting the enable_private_endpoint argument to false means that the private endpoint is created, but it also creates the public endpoint, then that is a horribly mis-named argument; enable_private_endpoint is actually flipping the public endpoint off and on, not the private one. Apparently, specifying a private_cluster_config is sufficient to enable the private endpoint, and the flag toggles the public endpoint, if reported behavior is to be believed.
That is certainly the experience that I had: specifying my local IP address in the master_authorized_networks_config caused cluster creation to fail when enable_private_endpoint is true. When I set it to false, I get both endpoints and the config. is not rejected.
I've had the same issue recently.
The solution I found is to set the enable_private_endpoint = false.
In this case the private endpoint created anyway, but you are allowed to add CIDR with external addresses to master authorized networks.
master_authorized_networks_config {
}
private_cluster_config {
enable_private_endpoint = true
enable_private_nodes = true
master_ipv4_cidr_block = "<cidr>"
}
Should create the private_end_point and it won't complain about Invalid master authorized networks. The one you tried, is passing up the external CIDR for the whitelist to access the public endpoint while at the same time you want it to be strictly private.
I was able to figure it out by myself, I guess I should have read the all the documentation on the gcp side in detail.
The problem here is that I'm adding a master authorized network cidr range to enable local network access, that is an external address and from the GCP documentation
You cannot include external IP addresses in the list of master authorized networks, because access to the public endpoint is disabled.
If you are curious, and want know more click here
In order to enforce SSL connections, we specify require_ssl = "true" under the settings.ip_configuration block.
We can get the server certificates as such:
output "servercertificate" {
value = "${google_sql_database_instance.master.server_ca_cert.0.cert}"
}
How do we get/specify the client certificates and the client key for an instance?
With release 1.20.0, one can retreive client certificates using the google_sql_ssl_cert resource. Here is an example showcasing how to use it:
resource "google_sql_ssl_cert" "client_cert" {
depends_on = ["google_sql_database_instance.master", "google_sql_database.database", "google_sql_user.user"]
common_name = "terraform-generated"
instance = "${google_sql_database_instance.master.name}"
}
The attributes associated with this resource are outlined here
In order to use the latest terraform provider run terraform init -upgrade