Automated Anthos Installation via Terraform for Packet

These files will allow you to use Terraform to deploy Google Cloud's Anthos GKE on-prem on VMware vSphere on Packet's Bare Metal Cloud offering.

Terraform will create a Packet project complete with a linux machine for routing, a vSphere cluster installed on minimum 3 ESXi hosts with vSAN storage, and an Anthos GKE on-prem admin and user cluster registered to Google Cloud. You can use an existing Packet Project, check this section for instructions.

Users are responsible for providing their own VMware software, Packet account, and Anthos subscription as described in this readme.

The build (with default settings) typically takes 70-75 minutes.

Join us on Slack

We use Slack as our primary communication tool for collaboration. You can join the Packet Community Slack group by going to slack.packet.com and submitting your email address. You will receive a message with an invite link. Once you enter the Slack group, join the #google-anthos channel! Feel free to introduce yourself there, but know it's not mandatory.

Latest Updates

6-25-2020

• Support for GKE on-prem 1.4 added

6-8-2020

• Added a check_capacity.py to manually perform a capacity check with Packet before building

6-03-2020

• 1.3.2-gke.1 patch release has been successfully tested
• Option to use Packet gen 3 (c3.medium.x86 for esxi and c3.small.x86 for router) along with ESXi 6.7

5-04-2020

• 1.3.1-gke.0 patch release has been successfully tested

3-31-2020

• The terraform is fully upgraded to work with Anthos GKE on-prem version 1.3.0-gke.16
• There is now an option to use an existing Packet project rather than create a new one (default behavior is to create a new project)
• We no longer require a private .ssh key for the environment be saved at ~/.ssh/id_rsa. The terraform will generate a ssh key pair and save it to ~/.ssh/<project_name>-. A .bak of the same file name is also created so that the key will be available after a terraform destroy command.

Prerequisites

To use these Terraform files, you need to have the following Prerequisites:

• An Anthos subscription
• A white listed GCP project and service account.
• A Packet org-id and API key
• If you are new to Packet
  • You will need to request an "Entitlement Increase". You will need to work with Packet Support via either:
    • Use the at the bottom left of the Packet Web UI
      • OR
    • E-Mail [email protected]
  • Your message across one of these mediums should be:
    • I am working with the Google Anthos Terrafom deployment (github.com/packet-labs/google-anthos). I need an entitlement increase to allow the creation of five or more vLans. Can you please assist?
• VMware vCenter Server 6.7U3 - VMware vCenter Server Appliance ISO obtained from VMware
• VMware vSAN Management SDK 6.7U3 - Virtual SAN Management SDK for Python, also from VMware

Associated Packet Costs

The default variables make use of 4 c2.medium.x86 servers. These servers are $1 per hour list price (resulting in a total solution price of roughly $4 per hour). Additionally, if you would like to use Intel Processors for ESXi hosts, the m2.xlarge.x86 is a validated configuration. This would increase the useable RAM from 192GB to a whopping 1.15TB. These servers are $2 per hour list price (resulting in a total solution price of roughly $7 per hour.)

You can also deploy just 2 c2.medium.x86 servers for $2 per hour instead.

Tested GKE on-prem versions

The Terraform has been successfully tested with following versions of GKE on-prem:

• 1.1.2-gke.0*
• 1.2.0-gke.6*
• 1.2.1-gke.4*
• 1.2.2-gke.2*
• 1.3.0-gke.16**
• 1.3.1-gke.0**
• 1.3.2-gke.1**
• 1.4.0-gke.13**

To simplify setup, this is designed to used the bundled Seesaw load balancer. No other load balancer support is planned at this time.

*Due to a known bug in the BundledLb EAP version, the script will automatically detect when using the EAP version and automatically delete the secondary LB in each group (admin and user cluster) to prevent the bug from occurring.

**This release appears to take 15-20 minutes longer to deploy. Some of that is due to the introduction of gkeadm to deploy the admin workstation. We are studying if there are any other possible optimizations that can be made to speed up the deployment.

Setup your GCS object store

You will need a GCS object store in order to download closed source packages such as vCenter and the vSan SDK. (See below for an S3 compatible object store option)

The setup will use a service account with Storage Admin permissions to download the needed files. You can create this service account on your own or use the helper script described below.

You will need to layout the GCS structure to look like this:

https://storage.googleapis.com:
    |
    |__ bucket_name/folder/
        |
        |__ VMware-VCSA-all-6.7.0-14367737.iso
        |
        |__ vsanapiutils.py
        |
        |__ vsanmgmtObjects.py

Your VMware ISO name may vary depending on which build you download. These files can be downloaded from My VMware. Once logged in to "My VMware" the download links are as follows:

• VMware vCenter Server 6.7U3 - VMware vCenter Server Appliance ISO
• VMware vSAN Management SDK 6.7U3 - Virtual SAN Management SDK for Python

You will need to find the two individual Python files in the vSAN SDK zip file and place them in the GCS bucket as shown above.

Download/Create your GCP Keys for your service accounts and activate APIs for your project

The GKE on-prem install requires several service accounts and keys to be created. See the Google documentation for more details. You can create these keys manually, or use a provided helper script to make the keys for you.

The Terraform files expect the keys to use the following naming convention, matching that of the Google documentation:

• register-key.json
• connect-key.json
• stackdriver-key.json
• whitelisted-key.json

If doing so manually, you must create each of these keys and place it in a folder named gcp_keys within the anthos folder. The service accounts also need to have IAM roles assigned to each of them. To do this manually, you'll need to follow the instructions from Google

GKE on-prem also requires several APIs to be activated on your target project.

Much easier (and recommended) is to use the helper script located in the anthos directory called create_service_accounts.sh to create these keys, assign the IAM roles, and activate the APIs. The script will allow you to log into GCP with your user account and select your Anthos white listed project. You'll also have an option to create a GCP service account to read from the GCS bucket. If you choose this option, you will create a storage-reader-key.json.

You can run this script as follows:

anthos/create_service_accounts.sh

Prompts will guide you through the setup.

Install Terraform

Terraform is just a single binary. Visit their download page, choose your operating system, make the binary executable, and move it into your path.

Here is an example for macOS:

curl -LO https://releases.hashicorp.com/terraform/0.12.18/terraform_0.12.18_darwin_amd64.zip 
unzip terraform_0.12.18_darwin_amd64.zip 
chmod +x terraform 
sudo mv terraform /usr/local/bin/ 

Download this project

To download this project, run the following command:

git clone https://github.com/packet-labs/google-anthos.git

Initialize Terraform

Terraform uses modules to deploy infrastructure. In order to initialize the modules your simply run: terraform init. This should download five modules into a hidden directory .terraform

Modify your variables

There are many variables which can be set to customize your install within 00-vars.tf and 30-anthos-vars.tf. The default variables to bring up a 3 node vSphere cluster and linux router using Packet's c2.medium.x86. Change each default variable at your own risk.

There are some variables you must set with a terraform.tfvars files. You need to set auth_token & organization_id to connect to Packet and the project_name which will be created in Packet. You will need to set anthos_gcp_project_id for your GCP Project ID. You will need a GCS bucket to download "Closed Source" packages such as vCenter. The GCS related variable is gcs_bucket_name. You need to provide the vCenter ISO file name as vcenter_iso_name.

The Anthos variables include anthos_version and anthos_user_cluster_name.

Here is a quick command plus sample values to start file for you (make sure you adjust the variables to match your environment, pay special attention that the vcenter_iso_name matches whats in your bucket):

cat <<EOF >terraform.tfvars 
auth_token = "cefa5c94-e8ee-4577-bff8-1d1edca93ed8" 
organization_id = "42259e34-d300-48b3-b3e1-d5165cd14169" 
project_name = "anthos-packet-project-1"
anthos_gcp_project_id = "my-anthos-project" 
gcs_bucket_name = "bucket_name/folder" 
vcenter_iso_name = "VMware-VCSA-all-6.7.0-XXXXXXX.iso" 
anthos_version = "1.3.0-gke.16"
anthos_user_cluster_name = "packet-cluster-1"
EOF

Using an S3 compatible object store (optional)

You have the option to use an S3 compatible object store in place of GCS in order to download closed source packages such as vCenter and the vSan SDK. Minio an open source object store, works great for this.

You will need to layout the S3 structure to look like this:

https://s3.example.com: 
    | 
    |__ vmware 
        | 
        |__ VMware-VCSA-all-6.7.0-14367737.iso
        | 
        |__ vsanapiutils.py
        | 
        |__ vsanmgmtObjects.py

These files can be downloaded from My VMware. Once logged in to "My VMware" the download links are as follows:

• VMware vCenter Server 6.7U3 - VMware vCenter Server Appliance ISO
• VMware vSAN Management SDK 6.7U3 - Virtual SAN Management SDK for Python

You will need to find the two individual Python files in the vSAN SDK zip file and place them in the S3 bucket as shown above.

For the cluster build to use the S3 option you'll need to change your variable file by adding the s3_boolean = "true" and including the s3_url, s3_bucket_name, s3_access_key, s3_secret_key in place of the gcs variables.

Here is the create variable file command again, modified for S3:

cat <<EOF >terraform.tfvars 
auth_token = "cefa5c94-e8ee-4577-bff8-1d1edca93ed8" 
organization_id = "42259e34-d300-48b3-b3e1-d5165cd14169" 
project_name = "anthos-packet-project-1"
anthos_gcp_project_id = "my-anthos-project" 
s3_boolean = "true"
s3_url = "https://s3.example.com" 
s3_bucket_name = "vmware" 
s3_access_key = "4fa85962-975f-4650-b603-17f1cb9dee10" 
s3_secret_key = "becf3868-3f07-4dbb-a6d5-eacfd7512b09" 
vcenter_iso_name = "VMware-VCSA-all-6.7.0-XXXXXXX.iso" 
anthos_version = "1.3.0-gke.16"
anthos_user_cluster_name = "packet-cluster-1"
EOF 

Deploy the Packet vSphere cluster and Anthos GKE on-prem cluster

All there is left to do now is to deploy the cluster:

terraform apply --auto-approve 

This should end with output similar to this:

Apply complete! Resources: 50 added, 0 changed, 0 destroyed. 
 
Outputs: 

KSA_Token_Location = The user cluster KSA Token (for logging in from GCP) is located at ./ksa_token.txt
SSH_Key_Location = An SSH Key was created for this environment, it is saved at ~/.ssh/project_2-20200331215342-key
VPN_Endpoint = 139.178.85.91
VPN_PSK = @1!64v7$PLuIIir9TPIJ
VPN_Password = n3$xi@S*ZFgUbB5k
VPN_User = vm_admin
vCenter_Appliance_Root_Password = *XjryDXx*P8Y3c1$
vCenter_FQDN = vcva.packet.local
vCenter_Password = 3@Uj7sor7v3I!4eo

The above Outputs will be used later for setting up the VPN. You can copy/paste them to a file now, or get the values later from the file terraform.tfstate which should have been automatically generated as a side-effect of the "terraform apply" command.

Checking Capacity in a Packet Facility (optional)

Before attempting to create the cluster, it is a good idea to do a quick capacity check to be sure there are enough devices at your chosen Packet facility.

We've included a check_capacity.py file to be run prior to a build. The file will read your terraform.tfvars file to use your selected host sizes and quantities or use the defaults if you've not set any.

Running the check_capacity.py file requires that you have python3 installed on your system.

Running the test is done with a simple command:

python3 check_capacity.py

The output will confirm which values it checked capacity for and display the results:

Using the default value for facility: dfw2
Using the default value for router_size: c2.medium.x86
Using the user variable for esxi_size: c3.medium.x86
Using the user variable for esxi_host_count: 3



Is there 1 c2.medium.x86 instance available for the router in dfw2?
Yes

Are there 3 c3.medium.x86 instances available for ESXi in dfw2?
Yes

Size of the vSphere Cluster

The code supports deploying a single ESXi server or a 3+ node vSAN cluster. Default settings are for 3 ESXi nodes with vSAN.

When a single ESXi server is deployed, the datastore is extended to use all available disks on the server. The linux router is still deployed as a separate system.

To do a single ESXi server deployment, set the following variables in your terraform.tfvars file:

esxi_host_count             = 1
anthos_datastore            = "datastore1"
anthos_user_master_replicas = 1

This has been tested with the c2.medium.x86. It may work with other systems as well, but it has not been fully tested. We have not tested the maximum vSAN cluster size. Cluster size of 2 is not supported.

Using Packet Gen 3 Hardware and ESXi 6.7

Packet is actively rolling out new hardware in mulitple locations which supports ESXi 6.7. Until the gen 3 hardware is more widely available, we'll not make gen 3 hardware the default but provide the option to use it.

Costs

The gen3 c3.medium.x86 is $0.10 more than the c2.medium.x86 but benefits from higher clock speed and the storage is better utlized to create a larger vSAN data store.

The c3.small.x86 is $0.50 less expensive than the c2.medium.x86. Therefore in a standard build, with 3 ESXi servers and 1 router, the net costs should be $0.20 lower than when using gen 2 devices.

Known Issues

ESXi 6.7 deployed on c3.medium.x86 may result in an alarm in vCenter which states Host TPM attestation alarm. The Packet team is looking into this but its thought to be a cosemetic issue.

Upon using terraform destroy --auto-approve to clean up an install, the VLANs may not get cleaned up properly.

Instructions to use gen 3

Using gen 3 requires modifying the terraform.tfvars file to include a few new variables:

esxi_size      = "c3.medium.x86"
vmware_os      = "vmware_esxi_6_7"
router_size    = "c3.small.x86"

These simple additions will cause the script to use the gen 3 hardware.

Connect to the Environment via VPN

By connecting via VPN, you will be able to access vCenter plus the admin workstation, cluster VMs, and any services exposed via the seesaw load balancers.

There is an L2TP IPsec VPN setup. There is an L2TP IPsec VPN client for every platform. You'll need to reference your operating system's documentation on how to connect to an L2TP IPsec VPN.

MAC how to configure L2TP IPsec VPN

NOTE- On a mac, for manual VPN setup use the values from Outputs (or from the generated file terraform.tfstate):

• "Server Address" = VPN_Endpoint
• "Account Name" = VPN_User
• "User Authentication: Password" = VPN_Password
• "Machine Authentication: Shared Secret" = VPN_PSK

Chromebook how to configure LT2P IPsec VPN

Make sure to enable all traffic to use the VPN (aka do not enable split tunneling) on your L2TP client. NOTE- On a mac, this option is under the "Advanced..." dialog when your VPN is selected (under System Preferences > Network Settings).

Some corporate networks block outbound L2TP traffic. If you are experiencing issues connecting, you may try a guest network or personal hotspot.

Windows 10 is known to be very finicky with L2TP Ipsec VPN. If you are on a Windows 10 client and experience issues getting VPN to work, consider using OpenVPN instead. These instructions may help setting up OpenVPN on the edge-gateway.

Connect to the clusters

You will need to ssh into the router/gateway and from there ssh into the admin workstation where the kubeconfig files of your clusters are located. NOTE- This can be done with or without establishing the VPN first.

ssh -i ~/.ssh/<private-ssh-key-created-by-project> root@VPN_Endpoint
ssh -i /root/anthos/ssh_key ubuntu@admin-workstation

The kubeconfig files for the admin and user clusters are located under ~/cluster, you can for example check the nodes of the admin cluster with the following command

kubectl --kubeconfig ~/cluster/kubeconfig get nodes

Connect to the vCenter

Connecting to the vCenter requires that the VPN be established. Once the VPN is connected, launch a browser to https://vcva.packet.local/ui. You’ll need to accept the self-signed certificate, and then enter the vCenter_Username and vCenter_Password provided in the Outputs of the run of "terraform apply" (or alternatively from the generated file terraform.tfstate). NOTE- use the vCenter_Password and not the vCenter_Appliance_Root_Password. NOTE- on a mac, you may find that the chrome browser will not allow the connection. If so, try using firefox.

Exposing k8s services

Currently services can be exposed on the bundled seesaw load balancer(s) on VIPs within the VM Private Network (172.16.3.0/24 by default). By default we exclude the last 98 usable IPs of the 172.16.3.0/24 subnet from the DHCP range-- 172.16.3.156-172.16.3.254. You can change this number by adjusting the reserved_ip_count field in the VM Private Network json in 00-vars.tf.

At this point services are not exposed to the public internet--you must connect via VPN to access the VIPs and services. One could adjust iptables on the edge-gateway to forward ports/IPs to VIP.

Cleaning the environment

To clean up a created environment (or a failed one), run terraform destroy --auto-approve.

If this does not work for some reason, you can manually delete each of the resources created in Packet (including the project) and then delete your terraform state file, rm -f terraform.tfstate.

Skipping the Anthos GKE on-prem cluster creation steps

If you wish to create the environment (including deploy the admin workstation and Anthos pre-res) but skip the cluster creation (so that you can practice creating a cluster on your own) add anthos_deploy_clusters = "False" to your terraform.tfvars file. This will still run the pre-requisites for the GKE on-prem install including setting up the admin workstation.

To create just the vSphere environment and skip all Anthos related steps, add anthos_deploy_workstation_prereqs = false.

Note that anthos_deploy_clusters uses a string of either "True" or "False" while anthos_deploy_workstation_prereqs uses a boolean of true or false. This is because the anthos_deploy_clusters variable is used within a bash script while anthos_deploy_workstation_prereqs is used by Terraform which supports booleans.

See anthos/cluster/bundled-lb-admin-uc1-config.yaml.sample to see what the Anthos parameters are when the default settings are used to create the environment.

Use an existing Packet project

If you have an existing Packet project you can use it assuming the project has at least 5 available vlans, Packet project has a limit of 12 Vlans and this setup uses 5 of them.

Get your Project ID, navigate to the Project from the packet.com console and click on PROJECT SETTINGS, copy the PROJECT ID.

add the following variables to your terraform.tfvars

create_project                    = false
project_id                        = "YOUR-PROJECT-ID"

Changing default Anthos GKE on-prem cluster defaults

Check the 30-anthos-vars.tf file for additional values (including number of user worker nodes and vCPU/RAM settings for the worker nodes) which can be set via the terraform.tfvars file.

Troubleshooting

Some common issues and fixes.

Error: The specified project contains insufficient public IPv4 space to complete the request. Please e-mail [email protected].

Should be resolved in https://github.com/packet-labs/google-anthos/commit/f6668b1359683eb5124d6ab66457f3680072651a

Due to recent changes to the Packet API, new organizations may be unable to use the Terraform to build ESXi servers. Packet is aware of the issue and is planning some fixes. In the meantime, if you hit this issue, email [email protected] and request that your organization be white listed to deploy ESXi servers with the API. You should reference this project (https://github.com/packet-labs/google-anthos) in your email.

Error: POST https://api.packet.net/ports/e2385919-fd4c-410d-b71c-568d7a517896/disbond:

At times the Packet API fails to recognize the ESXi host can be enabled for Layer 2 networking (more accurately Mixed/hybrid mode). The terraform will exit and you'll see

Error: POST https://api.packet.net/ports/e2385919-fd4c-410d-b71c-568d7a517896/disbond: 422 This device is not enabled for Layer 2. Please contact support for more details. 

  on 04-esx-hosts.tf line 1, in resource "packet_device" "esxi_hosts":
   1: resource "packet_device" "esxi_hosts" {

If this happens, you can issue terraform apply --auto-approve again and the problematic ESXi host(s) should be deleted and recreated again properly. Or you can perform terraform destroy --auto-approve and start over again.

null_resource.download_vcenter_iso (remote-exec): E: Could not get lock /var/lib/dpkg/lock - open (11: Resource temporarily unavailable)

Occasionally the Ubuntu automatic unattended upgrades will run at an unfortunate time and lock apt while the script is attempting to run.

Should this happen, the best resolution is to clean up your deployment and try again.

SSH_AUTH_SOCK: dial unix /tmp/ssh-vPixj98asT/agent.11502: connect: no such file or directory

A failed deployment which results in the following output:

Error: Error connecting to SSH_AUTH_SOCK: dial unix /tmp/ssh-vPixj98asT/agent.11502: connect: no such file or directory



Error: Error connecting to SSH_AUTH_SOCK: dial unix /tmp/ssh-vPixj98asT/agent.11502: connect: no such file or directory



Error: Error connecting to SSH_AUTH_SOCK: dial unix /tmp/ssh-vPixj98asT/agent.11502: connect: no such file or directory



Error: Error connecting to SSH_AUTH_SOCK: dial unix /tmp/ssh-vPixj98asT/agent.11502: connect: no such file or directory

This could be because you are using a terminal emulation such as screenor tmux and the SSH agent is not running. May be corrected by running the command ssh-agents bash prior to running the terraform apply --auto-approve command.