# Stream

- [Introduction and requirements](/deployment/stream/introduction-and-requirements.md): Introduction to Stream deployment, licensing steps, and connectivity requirements.
- [Stream sizing](/deployment/stream/stream-sizing.md): Sizing guidelines for Stream VMs and M-Series appliances.
- [Preparing to deploy Stream](/deployment/stream/preparing-to-deploy-stream.md): Download Stream images and collect deployment inputs, including Brain details and Sensor Registration Tokens (SRTs).
- [Deployment](/deployment/stream/deployment.md): Platform-specific Stream deployment guides as part of overall Stream deployment and configuration process.
- [VMware Stream deployment](/deployment/stream/deployment/vmware-stream-deployment.md): Deploy Stream on VMware using an OVA via vCenter/vSphere or via the Brain CLI provisioning command.
- [Hyper-V Stream deployment](/deployment/stream/deployment/hyper-v-stream-deployment.md): Deploy Stream on Hyper-V using the provided VHD and PowerShell deployment script.
- [KVM Stream deployment](/deployment/stream/deployment/kvm-stream-deployment.md): Deploy Stream on KVM using the image tarball and \`vectra-stream.sh\`, with basic \`virsh\` troubleshooting tips.
- [AWS Stream deployment](/deployment/stream/deployment/aws-stream-deployment.md): Deploying Stream in AWS environments using and image from the AWS Marketplace.
- [Azure Stream deployment](/deployment/stream/deployment/azure-stream-deployment.md): Deploying Stream in Azure using a image from the Azure Marketplace.
- [GCP Stream deployment](/deployment/stream/deployment/gcp-stream-deployment.md): Deploy Stream in GCP using \`gcloud infra-manager\` with aVectra-provided template and image shared to you from Vectra.
- [M-Series Stream deployment](/deployment/stream/deployment/m-series-stream-deployment.md): Quick-start steps to deploy Stream on a physical M-Series appliance, then pair and enable publishing.
- [Initial CLI configuration](/deployment/stream/initial-cli-configuration.md): Connect to the Stream CLI and configure static IP, gateway, DNS, and password changes if not using DHCP or changes are needed after initial deployment.
- [Pairing Stream appliances](/deployment/stream/pairing-stream-appliances.md): How to pair Stream appliances with your Vectra Brain appliance.
- [Metadata filtering and publishing](/deployment/stream/metadata-filtering-and-publishing.md): How to configure options for metadata filtering and the destination publisher of your choice.
- [Publisher specific guidance](/deployment/stream/publisher-specific-guidance.md): Instructions for specific publishers that you are using to receive Stream data.
- [Elastic, Syslog, and Kafka](/deployment/stream/publisher-specific-guidance/elastic-syslog-and-kafka.md): Details for Elastic, Syslog, and Kafka Stream publishers.
- [ELK integration](/deployment/stream/publisher-specific-guidance/elk-integration.md): This article outlines the custom content developed by Vectra for ELK (Elastic, Logstash and Kibana) when using Vectra Stream. This content can be integrated with your ELK deployment.
- [Splunk integration](/deployment/stream/publisher-specific-guidance/splunk-integration.md): This article is meant to be used by customers who will be integrating Vectra Steam metadata into their Splunk installation.