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Automating HAProxy VM deployment with 3-NIC configuration using PowerCLI

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When deploying the HAProxy VM as part of vSphere with Tanzu, customers have the option of deploying the HAProxy VM using either a 2-NIC or 3-NIC configuration. The default OVF Deployment Option is the 2-NIC design called "Default" and the 3-NIC design is called "Frontend".

From an Automation point of view, you can use either OVFTool or PowerCLI to automate the deployment. For a 2-NIC example, you can refer to my Automated vSphere with Tanzu Lab Deployment Script. However, for the 3-NIC example, a few folks were running into some issues when using PowerCLI for the automation.

The main issue is that because the default OVF Deployment Option is the 2-NIC design (Default), the two additional OVF properties frontend_ip and frontend_gateway is basically hidden when processing the OVF properties when PowerCLI.

Note: You can view these optional properties by running the following OVFTool command: ovftool --X:enableHiddenProperties vmware-haproxy-v0.1.8.ova


Even if you specified the "Frontend" OVF Deployment Option, PowerCLI does not seem to have the logic to retrieve the other optional parameters and hence can not be set as part of the initial deployment.

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Custom Virtual Machine Class Types with vSphere with Tanzu

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When you deploy a Tanzu Kubernetes Grid (TKG) Cluster using the integrated TKG Service in vSphere with Tanzu, you can specify a Virtual Machine Class Type which determines the amount of CPU and Memory resources that are allocated for both the Control Plane and/or Worker Node VMs for your TKG Cluster.

Here is a sample YAML specification that uses the best-effort-xsmall VM class type for both Control Plane and Worker Node, but you can certainly override and choose different classes based on your requirements.

apiVersion: run.tanzu.vmware.com/v1alpha1
kind: TanzuKubernetesCluster
metadata:
  name: william-tkc-01
  namespace: primp-industries
spec:
  distribution:
    version: v1.17.8+vmware.1-tkg.1.5417466
  settings:
    network:
      cni:
        name: antrea
      pods:
        cidrBlocks:
        - 193.0.2.0/16
      serviceDomain: managedcluster.local
      services:
        cidrBlocks:
        - 195.51.100.0/12
  topology:
    controlPlane:
      class: best-effort-xsmall
      count: 1
      storageClass: vsan-default-storage-policy
    workers:
      class: best-effort-xsmall
      count: 3
      storageClass: vsan-default-storage-policy

Today, the are a total of 16 VM Class types that you can select from, however these are not customizable which is something that has been coming up more recently. The vSphere with Tanzu team is aware of this request and is working on a solution that not only makes customizing CPU and Memory easier but also supporting storage customization. As you can see from the table below, 16GB is only supported configuration today.


In the mean time, if you need a supported path for customizing your TKG Guest Clusters, one option is to use the TKG Standalone / MultiCloud CLI, which can be used with a vSphere with Tanzu Cluster. You will need to deploy an additional TKG Management Cluster (basically a few VMs), but once you have that, you can override CPU, Memory and Storage of both the Control Plane and Worker Nodes using the following environment variables:

  • VSPHERE_WORKER_NUM_CPUS
  • VSPHERE_WORKER_MEM_MIB
  • VSPHERE_WORKER_DISK_GIB
  • VSPHERE_CONTROL_PLANE_NUM_CPUS
  • VSPHERE_CONTROL_PLANE_MEM_MIB
  • VSPHERE_CONTROL_PLANE_DISK_GIB

If you are interested, the easiest way to get started is by using my TKG Demo Appliance Fling which was just recently updated to the latest TKG 1.2 release which has support for K8s v1.19 which is currently not available on vSphere with Tanzu.

Now, you might ask, would it be possible to create your own custom VM class types using vSphere with Tanzu? Well .... keep reading to find out 🙂

Disclaimer: This is not officially supported by VMware, use at your own risk. These custom changes can potentially impact upgrades or automatically be reverted upon the next update or upgrade. You have been warned.

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Automated Nested Lab Deployment on SDDC Part 4: Oracle Cloud VMware Solution

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In this final blog series, we are now going to take a look at deploying our Nested Lab in an Oracle Cloud VMware Solution environment. Similiar to GCVE, we also will have the ability to run Nested vSAN on top of the physical vSAN within OCVS and by default, customers are provided with the full administrator credentials. For networking, customers also have full access to the NSX-T Manager instance and this means that MAC Learning can be enabled and will allow inner-guest workloads will be able to communicate properly within and outside of the Nested Lab deployment.

Disclaimer: Nested ESXi is not officially supported on Oracle Cloud VMware Solution or by VMware.

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