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Configuring an Internal Load Balancer

Overview

Google Cloud offers Internal Load Balancing for your TCP/UDP-based traffic. Internal Load Balancing enables you to run and scale your services behind a private load balancing IP address that is accessible only to your internal virtual machine instances.

In this lab, you create two managed instance groups in the same region. Then you configure and test an internal load balancer with the instances groups

Objectives

In this lab, you learn how to perform the following tasks:

  • Create internal traffic and health check firewall rules
  • Create a NAT configuration using Cloud Router
  • Configure two instance templates
  • Create two managed instance groups
  • Configure and test an internal load balancer

Task 1. Configure internal traffic and health check firewall rules.

Configure firewall rules to allow internal traffic connectivity from sources in the 10.10.0.0/16 range. This rule allows incoming traffic from any client located in the subnet.

Health checks determine which instances of a load balancer can receive new connections. For HTTP load balancing, the health check probes to your load-balanced instances come from addresses in the ranges 130.211.0.0/22 and 35.191.0.0/16. Your firewall rules must allow these connections.

Explore the my-internal-app network

The network my-internal-app with subnet-a and subnet-b and firewall rules for RDP, SSH, and ICMP traffic have been configured for you.

 gcloud compute networks subnets list 

Notice the my-internal-app network with its subnets: subnet-a and subnet-b.

Each Google Cloud project starts with the default network. In addition, the my-internal-app network has been created for you as part of your network diagram.

You will create the managed instance groups in subnet-a and subnet-b. Both subnets are in the us-central1 region because an internal load balancer is a regional service. The managed instance groups will be in different zones, making your service immune to zonal failures.

Create the firewall rule to allow traffic from any sources in the 10.10.0.0/16 range

Create a firewall rule to allow traffic in the 10.10.0.0/16 subnet.

Explore existing firewall rules:

 gcloud compute firewall-rules list 

Create a firewall rule to allow traffic in the 10.10.0.0/16 subnet:

 gcloud compute firewall-rules create fw-allow-lb-access --direction=INGRESS --priority=1000 --network=my-internal-app --action=ALLOW --rules=all --source-ranges=10.10.0.0/16 --target-tags=backend-service  

Create the health check rule

Create a firewall rule to allow health checks:

 gcloud compute firewall-rules create fw-allow-health-checks --direction=INGRESS --priority=1000 --network=my-internal-app --action=ALLOW --rules=tcp:80 --source-ranges=130.211.0.0/22,35.191.0.0/16 --target-tags=backend-service 

Task 2: Create a NAT configuration using Cloud Router

The Google Cloud VM backend instances that you setup in Task 3 will not be configured with external IP addresses.

Instead, you will setup the Cloud NAT service to allow these VM instances to receive incoming traffic only through the Cloud NAT, and return traffic from the outbound NAT through the load balancer.

Create the Cloud Router instance

Create a Cloud Router:

 gcloud compute routers create nat-router-us-central1 --network "my-internal-app" --region "us-central1" 

Add a configuration to the router:

 gcloud compute routers nats create nat-config --router "nat-router-us-central1" --nat-all-subnet-ip-ranges --auto-allocate-nat-external-ips --region=us-central1 

Task 3. Configure instance templates and create instance groups

A managed instance group uses an instance template to create a group of identical instances. Use these to create the backends of the internal load balancer.

Configure the instance templates

An instance template is an API resource that you can use to create VM instances and managed instance groups. Instance templates define the machine type, boot disk image, subnet, labels, and other instance properties. Create an instance template for both subnets of the my-internal-app network

For subnet-a:

 gcloud compute instance-templates create instance-template-1 --machine-type=e2-medium --region=us-central1 --subnet=subnet-a --no-address --metadata=startup-script-url=gs://cloud-training/gcpnet/ilb/startup.sh --tags=backend-service 

The startup-script-url specifies a script that is executed when instances are started. This script installs Apache and changes the welcome page to include the client IP and the name, region, and zone of the VM instance

📝 The network tag backend-service ensures that the firewall rule to allow traffic from any sources in the 10.10.0.0/16 subnet and the Health Check firewall rule applies to these instances.

For subnet-b:

 gcloud compute instance-templates create instance-template-2 --machine-type=e2-medium --region=us-central1 --subnet=subnet-b --no-address --metadata=startup-script-url=gs://cloud-training/gcpnet/ilb/startup.sh --tags=backend-service 

Create the managed instance groups

Create a managed instance group in subnet-a (us-central1-a) and subnet-b (us-central1-b).

For subnet-a:

 gcloud compute instance-groups managed create instance-group-1 --base-instance-name=instance-group-1 --template=instance-template-1 --size=1 --zone=us-central1-a  
 gcloud compute instance-groups managed set-autoscaling "instance-group-1" --zone "us-central1-a" --target-cpu-utilization "0.8" --cool-down-period "45" --min-num-replicas "1" --max-num-replicas "5" --mode "on" 

Managed instance groups offer autoscaling capabilities that allow you to automatically add or remove instances from a managed instance group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. Just define the autoscaling policy, and the autoscaler performs automatic scaling based on the measured load.

Repeat the same procedure for instance-group-2 in us-central1-b:

For subnet-b:

 gcloud compute instance-groups managed create instance-group-2 --base-instance-name=instance-group-2 --template=instance-template-2 --size=1 --zone=us-central1-b 
 gcloud compute instance-groups managed set-autoscaling "instance-group-2" --zone "us-central1-b" --target-cpu-utilization "0.8" --cool-down-period "45" --min-num-replicas "1" --max-num-replicas "5" --mode "on" 

Verify the backends

Verify that VM instances are being created in both subnets:

 gcloud compute instances list 

Notice two instances that start with instance-group-1 and instance-group-2. These instances are in separate zones, and their internal IP addresses are part of the subnet-a and subnet-b CIDR blocks.

Create a utility VM to access the backends' HTTP sites:

 gcloud compute instances create utility-vm --zone=us-central1-f --machine-type=f1-micro --subnet=subnet-a --private-network-ip=10.10.20.50 --no-address 
📝 Note that the internal IP addresses for the backends are 10.10.20.2 and 10.10.30.2. If these IP addresses are different, replace them in the two curl commands below

SSH to utility-vm:

 gcloud compute ssh utility-vm --zone "us-central1-f" 

To verify the welcome page for instance-group-1-xxxx, run the following command:

 curl 10.10.20.2 

To verify the welcome page for instance-group-2-xxxx, run the following command:

 curl 10.10.30.2 

Exit the SSH terminal

Task 4. Configure the internal load balancer

Configure the internal load balancer to balance traffic between the two backends (instance-group-1 in us-central1-a and instance-group-2 in us-central1-b), as illustrated in the network diagram: alt text

Create load balancer

  1. Create a health check:
 gcloud compute health-checks create tcp my-lib-health-check --port=80 
  1. Define the backend service with the gcloud compute backend-services create command.
 gcloud compute backend-services create my-ilb-backend-service  --load-balancing-scheme=internal --protocol=TCP --health-checks=my-ilb-health-check --region=us-central1 
📝 Defining --load-balancing-scheme=internal makes this load balancer internal. This choice requires the backends to be in a single region (us-central1) and does not a allow offloading TCP processing to the load balance

Health checks determine which instances can receive new connections. This HTTP health check polls instances every 5 seconds, waits up to 5 seconds for a response, and treats 2 successful or 2 failed attempts as healthy or unhealthy, respectively.

  1. Add backends to the backend service with the gcloud compute backend-services add-backend command.
 gcloud compute backend-services add-backend my-ilb-backend-service --instance-group=instance-group-1 --instance-group-zone=us-central1-a --region=us-central1 
 gcloud compute backend-services add-backend my-ilb-backend-service --instance-group=instance-group-2 --instance-group-zone=us-central1-b --region=us-central1 

The backend service monitors instance groups and prevents them from exceeding configured usage

  1. Configure the frontend: An internal forwarding rule and internal IP address for the frontend of the load balancer
 gcloud compute forwarding-rules create my-ilb-forwarding-rule --backend-service=my-ilb-backend-service --load-balancing-scheme=internal --subnet=subnet-b --address=10.10.30.5 --ports=80 --region=us-central1 

The frontend forwards traffic to the backend.

Task 5. Test the internal load balancer

Verify that the my-ilb IP address forwards traffic to instance-group-1 in us-central1-a and instance-group-2 in us-central1-b.

Access the internal load balancer

  1. SSH to utility-vm:
 gcloud compute ssh utility-vm --zone "us-central1-f" 
  1. To verify that the internal load balancer forwards traffic, run the following command:
 curl 10.10.30.5 
 As expected, traffic is forwarded from the internal load balancer (10.10.30.5) to the backend 
  1. Run the same command a couple of times:
 
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5
curl 10.10.30.5

You should be able to see responses from instance-group-1 in us-central1-a and instance-group-2 in us-central1-b. If not, run the command again

Task 6. Review

In this lab, you created two managed instance groups in the us-central1 region and a firewall rule to allow HTTP traffic to those instances and TCP traffic from the Google Cloud health checker. Then you configured and tested an internal load balancer for those instance groups.