This hands-on lab shows you how to create a secure, high-throughput VPN and test the speed.
Secure communication between Google Cloud and other clouds or on-premises systems is a common, critical need. Fortunately, Google Cloud makes it easy for you to create a secure Internet Protocol security (IPsec) virtual private networks (VPNs) to achieve this goal. If a single tunnel does not provide necessary throughput, Google Cloud can smoothly distribute traffic across multiple tunnels to provide additional bandwidth.
Objectives
In this lab you do the following:
Create VPN
Create a Virtual Private Cloud (VPC) named cloud to simulate your Google Cloud network, and a VPC named on-prem (on-premises) to simulate an external network.
Create VPN gateways, forwarding rules, and addresses for the cloud VPC.
Form a tunnel for the new VPN, and route traffic through it.
Repeat the VPN creation process for the on-prem VPC, creating a second VPN.
Test VPNs
Create a virtual machine (VM) using Compute Engine for throughput load testing.
Test throughput speed of a single VPN using iperf.
Prerequisites
To maximize your learning, you should:
Review and familiarize yourself with how to create a VPN using Google Cloud.
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.
This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.
To complete this lab, you need:
Access to a standard internet browser (Chrome browser recommended).
Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.
Time to complete the lab—remember, once you start, you cannot pause a lab.
Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.
How to start your lab and sign in to the Google Cloud console
Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method.
On the left is the Lab Details pane with the following:
The Open Google Cloud console button
Time remaining
The temporary credentials that you must use for this lab
Other information, if needed, to step through this lab
Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).
The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Arrange the tabs in separate windows, side-by-side.
Note: If you see the Choose an account dialog, click Use Another Account.
If necessary, copy the Username below and paste it into the Sign in dialog.
{{{user_0.username | "Username"}}}
You can also find the Username in the Lab Details pane.
Click Next.
Copy the Password below and paste it into the Welcome dialog.
{{{user_0.password | "Password"}}}
You can also find the Password in the Lab Details pane.
Click Next.
Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials.
Note: Using your own Google Cloud account for this lab may incur extra charges.
Click through the subsequent pages:
Accept the terms and conditions.
Do not add recovery options or two-factor authentication (because this is a temporary account).
Do not sign up for free trials.
After a few moments, the Google Cloud console opens in this tab.
Note: To access Google Cloud products and services, click the Navigation menu or type the service or product name in the Search field.
Activate Cloud Shell
Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.
Click Activate Cloud Shell at the top of the Google Cloud console.
Click through the following windows:
Continue through the Cloud Shell information window.
Authorize Cloud Shell to use your credentials to make Google Cloud API calls.
When you are connected, you are already authenticated, and the project is set to your Project_ID, . The output contains a line that declares the Project_ID for this session:
Your Cloud Platform project in this session is set to {{{project_0.project_id | "PROJECT_ID"}}}
gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
(Optional) You can list the active account name with this command:
gcloud auth list
Click Authorize.
Output:
ACTIVE: *
ACCOUNT: {{{user_0.username | "ACCOUNT"}}}
To set the active account, run:
$ gcloud config set account `ACCOUNT`
(Optional) You can list the project ID with this command:
gcloud config list project
Output:
[core]
project = {{{project_0.project_id | "PROJECT_ID"}}}
Note: For full documentation of gcloud, in Google Cloud, refer to the gcloud CLI overview guide.
Task 1. Create the cloud VPC
In this section, you:
Create a VPC to simulate your cloud production network.
Allow common types of traffic to flow through the VPC.
Create a subnet for deploying hosts.
In Cloud Shell, create a custom VPC named cloud associated with your Google Cloud project by running the following:
In this solution, you use 10.0.1.0/24 and the region.
Task 2. Create the on-prem VPC
In this section you create a simulation of your on-prem VPC, or any network you want to connect to cloud. In practice you'd already have resources here, but for the purpose of creating tunnels and validating configurations, follow these steps:
In Cloud Shell, create a new custom subnet VPC associated with your project named on-prem by running:
Specify the subnet prefix for the region using the following command:
gcloud compute networks subnets create on-prem-central \
--network on-prem --range 192.168.1.0/24 --region {{{project_0.default_region |REGION}}}
Note: In this example, you assign `192.168.1.0/24` to the region.
Create two custom VPCs with subnetworks and firewall rules.
Task 3. Create VPN gateways
Each environment requires VPN gateways for secure external communication. Follow these steps to create the initial gateways for your cloud and on-prem VPCs:
In Cloud Shell create a VPN gateway named on-prem-gw1 in the on-prem VPC and region:
Task 4. Create a route-based VPN tunnel between local and Google Cloud networks
The VPN gateways each need a static, external IP address so that systems outside the VPC can communicate with them. Now you create IP addresses and routes on the cloud and on-prem VPCs.
In Cloud Shell, allocate the IP for the cloud-gw1 VPN gateway:
Use the same method to create firewall forwarding rules for the IPsec tunnel on the on-prem VPC. This step allows the IPsec tunnel to exit your firewalls:
Ordinarily you would need to go generate a secret for the next step, where you create and validate the tunnels on-prem-tunnel1 and cloud-tunnel1. For details about how to create and securely store secrets, view the Secret Manager conceptual overview guide. For now just use the string "sharedsecret".
Create a tunnel for the local network on-prem-tunnel1, and for the cloud-based network cloud-tunnel1. Each network must have a VPN gateway, and the secrets must match. In the following two commands, where you would, in a production scenario, replace [MY_SECRET] with the secret you generated, replace it with "sharedsecret"
At this point, you've established a secure path between the on-prem and cloud VPCs. To test throughput use iperf, an open-source tool for network load testing. To test, you need a VM in each environment, one to send traffic and the other to receive it, and you'll create them next.
Single VPN load testing
Now you create a virtual machine for the cloud VPC named is cloud-loadtest. This example uses a Debian Linux image for the OS.
Note: If you have an existing project, feel free to omit this step and use existing resources. Bandwidth for a VM is 2 Gbps * vCPUs, so you'll want a 4 vCPU minimum.
Create a virtual machine for the on-prem VPC named on-prem-loadtest. This example uses the same Debian image as in the cloud VPC. Omit this step if you have existing resources.
Replace [region] with the region which you specified while creating tunnel.
If you are having trouble with the section single VPN load testing:
Make sure you installed iperf on both VMs.
In case of connection refused error, verify that:
Firewall rules for created networks (tcp:5001)
The server is running properly on on-prem-loadtest
You are trying to connect to the server via cloud-loadtest
If you are trying to see the forwarding rules that you created in the Console:
In the Navigation menu go to the Networking section.
Click on Network Connectivity > VPN.
Click on the Cloud VPN Gateway to view the Cloud VPN Gateway details page.
Congratulations!
In this lab, you successfully built a high-throughput VPN between two simulated networks, a cloud VPC and an on-premises VPC. You learned how to create custom VPCs, configure VPN gateways, establish secure IPsec tunnels, and route traffic through those tunnels. Finally, you tested the throughput of your VPN using iperf to validate its performance.
What's next
Review Google Cloud Router to enable Border Gateway Protocol (BGP) and increase fault tolerance.
Try out other Google Cloud features for yourself. Have a look at our tutorials.
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Manual Last Updated March 30, 2025
Lab Last Tested February 25, 2025
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Use private browsing to run the lab
Use an Incognito or private browser window to run this lab. This
prevents any conflicts between your personal account and the Student
account, which may cause extra charges incurred to your personal account.
In this lab you learn how to create a secure, high-throughput VPN and test the speed.