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VMware Stream deployment

Deploy Stream on VMware using an OVA via vCenter/vSphere or via the Brain CLI provisioning command.

Requirements

  • Administrative access to you VMware vCenter/vShere console or authorization to deploy via API connection.

  • To configure your Stream instance, you will need access to the Stream Command Line Interface (CLI) either via the console in your hypervisor or via SSH).

    • DHCP is enabled by default upon Stream initial boot.

    • If you don’t know the DHCP IP, you will need to use the hypervisor console.

  • VMware specific information is required.

    • vSphere hostname or IP, vm name for the vSensor, datacenter hostname or IP, vmhost to deploy on, datastore, management portgroup, vswitch, # of cores.

  • Optional VMware specific information for vSphere api based deployment from the Brain CLI.

    • vSphere port, resource path, hostname to assign, username, password.

Please Note:

  • For production monitoring, ensure that the Stream VM is kept running 24x7, and ensure that the hypervisor does not overcommit resources or otherwise misrepresent the resources it is providing to Stream.

  • vMotion should not be enabled for Stream.

Deploying the OVA

There are two ways to deploy the OVA into your VMWare environment:

  • Using your vCenter/vSphere client.

  • Using the provision vmware stream CLI command from the Brain.

Deploying using your vCenter/vSphere client or web UI for standalone ESXi servers

vCenter/vSphere versions and clients vary.

The web UI for ESXi 6.5 and later does not have full feature support for some standard OVA features including specifying deployment options within an OVA. Due to this it is not possible to deploy Stream on standalone ESXi 6.5 Update 1 or later using the web UI. In these cases, it is recommended to deploy using the vCenter app or vSphere client. The Vectra CLI command provision vmware stream is another option.

The general process for using the vCenter application or vSphere client to deploy the OVF is as follows:

  • Login and navigate to Hosts and Clusters.

  • Right click on the host where Stream will be deployed and select Deploy OVF Template.

  • A pop up will walk you through configuring the virtual appliance.

    • Browse to the OVA that was downloaded from the Vectra Brain.

    • Choose from template options provided a configuration for your deployment.

    • Give the Stream VM a name.

    • Also assign it to a datacenter, cluster, and folder appropriate for your environment.

    • Select the datastore to house the virtual environment.

    • Please do not make changes to virtual disk format (it should be thick provisioned).

    • Assign Network Adaptor 1 (MGT1) to the port group used for Stream.

    • Configure DHCP or static assignment for MGT1.

  • Review the final details and enable Power on Upon Completion if you are ready to begin pairing.

Deploying Stream using the Vectra CLI on your Brain

The CLI tool is an easy and convenient way to deploy on vCenter/vSphere and ESXi standalone servers. To deploy using this method, follow these steps:

  • Ensure any firewall allows the Brain to connect to the vCenter server (if applicable) and the ESX/vSphere server on port 443 (or alternate port if configured).

  • Login to VCLI on the Brain using the vectra user.

  • Run the provision vmwware stream command using the appropriate options.

Options for the provision vmware stream command can be displayed at the Brain CLI as below:

Command syntax:

Example command:

Please note:

  • The provision command uses VMware’s ovftool along with the supplied information to provision Stream.

  • Customers can also choose to use VMware’s ovftool directly if that is their preferred deployment method.

    • Please refer to VMware’s ovftool instructions for this method and use the ovftool from your preferred location.

  • Not all arguments are required.

    • For example, if a username or password is not specified, you will be prompted for them.

  • The OVA template is shared for Stream and vSensors.

    • 16 core vSensors need 600 GB disk, Stream users can leave the disk at the default size of 150 GB.

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