# Deployment - [Getting started](https://docs.vectra.ai/deployment/getting-started.md): Quick links to core deployment guides, requirements, and architecture references. - [Analyst UX options (RUX vs QUX)](https://docs.vectra.ai/deployment/getting-started/analyst-ux-options-rux-vs-qux.md): How to tell Respond UX from Quadrant UX and what differs across features and docs. - [NDR / Network identity architecture](https://docs.vectra.ai/deployment/getting-started/ndr-network-identity-architecture.md): This document provides a high-level overview of the architecture for Vectra NDR including network identity. - [Respond UX deployment guide](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide.md): End-to-end guide for deploying Vectra Respond UX, including requirements, firewall rules, deployment steps, data source setup, initial configuration, and post-deploy next steps. - [Introduction and overview](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/introduction-and-overview.md): Introduction and overview of the Vectra AI platform for Respond UX (RUX) deployments, appliance modes and basic requirements when adding network Sensors to your overall deployment. - [Firewall requirements](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/firewall-requirements.md): Firewall requirements for your Respond UX (RUX) deployment. - [Deployment](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/deployment.md): Overview of the RUX deployment process, how to do your initial login, deployment steps along with requirements and documentation links. - [Initial configuration](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/initial-configuration.md): Guidance for configuring settings in the "Configuration" menu in the Vectra UI after the initial deployment is complete for Respond UX and your data sources are connected. - [Configuring data sources](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/configuring-data-sources.md): Links to deployment guides for network Sensors, traffic validation, and other cloud data sources deployment guidance. - [Recommended next steps](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment-guide/recommended-next-steps.md): Actions recommend to complete after your initial RUX deployment including backup, configuring other integrations and products, and some best practices. - [Respond UX specific](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment.md): Respond UX-only deployment and configuration guidance. - [Initial login - protecting your MFA secret key (RUX)](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment/initial-login-protecting-your-mfa-secret-key-rux.md): Secure your MFA secret during first login and avoid account lockouts. - [Global View](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment/global-view.md): Demo video, applicability, capabilities, onboarding/deployment, architecture, and answers to your frequently asked questions (FAQs) about Global View for RUX deployments. - [SIEM connector (syslog intermediary)](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment/siem-connector-syslog-intermediary.md): How to configure a syslog intermediary server to poll the RUX API and then send data via syslog to a downstream collector. - [Why migrate to RUX from QUX Migration to RUX from QUX](https://docs.vectra.ai/deployment/getting-started/respond-ux-deployment/why-migrate-to-rux-from-qux-migration-to-rux-from-qux.md): Reasons to move from QUX to RUX, plus key workflow and feature changes. - [Quadrant UX deployment guide](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment.md): End-to-end guide for deploying Vectra Quadrant UX, including requirements, firewall rules, deployment steps, data source setup, initial configuration, and post-deploy next steps. - [Introduction and overview](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/introduction-and-overview.md): Introduction and overview of the Vectra AI platform for Quadrant UX (QUX) deployments and appliance modes - [Firewall requirements](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/firewall-requirements.md): Firewall requirements for your Quadrant UX (QUX) deployment. - [Brain deployment](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/brain-deployment.md): Overview of the QUX deployment process, deployment steps along with requirements and documentation links, and how to do your initial login. - [Initial configuration](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/initial-configuration.md): Guidance for configuring settings in the "Configuration" menu in the Vectra UI after the initial deployment is complete for Respond UX and your data sources are connected. - [Configuring data sources](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/configuring-data-sources.md): Links to deployment guides for network Sensors, traffic validation, and guidance for other cloud data sources supported in QUX deployments. - [Recommended next steps](https://docs.vectra.ai/deployment/getting-started/quadrant-ux-deployment/recommended-next-steps.md): Actions recommend to complete after your initial RUX deployment including backup, configuring other integrations and products, and some best practices. - [Firewall requirements](https://docs.vectra.ai/deployment/getting-started/firewall-requirements.md): This article describes firewall (connectivity) requirements for all Vectra deployments (RUX and QUX). - [Appliance specifications](https://docs.vectra.ai/deployment/getting-started/appliance-specifications.md): Overview, performance, and specifications for Vectra\'s physical, virtual, and cloud appliances. - [Default usernames and passwords](https://docs.vectra.ai/deployment/getting-started/default-usernames-and-passwords.md): Default credentials for CLI, Web UI, and IPMI/iDRAC access. - [IPv6 management support for Vectra appliances](https://docs.vectra.ai/deployment/getting-started/ipv6-management-support-for-vectra-appliances.md): As of v8.5, the use of IPv6 for management is supported on most Vectra appliances. This article provides additional details. - [IDR for Azure AD & CDR for M365](https://docs.vectra.ai/deployment/idr-for-azure-ad-and-cdr-for-m365.md): Deployment quick start guide for both IDR for Azure AD & CDR for M365 covering both RUX and QUX deployments. - [CDR for AWS](https://docs.vectra.ai/deployment/cdr-for-aws.md): Landing page for CDR for AWS deployment, sizing, and integration guidance. - [Deployment (CDR for AWS)](https://docs.vectra.ai/deployment/cdr-for-aws/deployment.md): Deploy CDR for AWS using CloudFormation or manual setup. Includes requirements, IAM permissions, troubleshooting, and cost guidance, plus a quick video and example policy attachments. - [Architecture and requirements](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/architecture-and-requirements.md): Intro and overview for CDR for AWS, general requirements, network setup requirements for QUX deployments, and deployment overview. - [Deploy via CloudFormation](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/deploy-via-cloudformation.md): End-to-end steps using the Vectra-provided CloudFormation template. - [Appendix 1 - AWS Configuration Notes](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/appendix-1-aws-configuration-notes.md): Required permissions, data events guidance, bucket location, and KMS notes. - [Appendix 2 - Manual AWS Deployment](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/appendix-2-manual-aws-deployment.md): Create the SNS topic and IAM role yourself, then authorize in Vectra. - [Appendix 3 – Troubleshooting Issues While Onboarding](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/appendix-3-troubleshooting-issues-while-onboarding.md): Common errors during CloudFormation/manual setup and how to resolve them. - [Appendix 4 – AWS Log Ingestion Cost Estimates](https://docs.vectra.ai/deployment/cdr-for-aws/deployment/appendix-4-aws-log-ingestion-cost-estimates.md): CloudTrail, S3, SNS, data events, retention, and transfer costs. - [Estimating Log Volume](https://docs.vectra.ai/deployment/cdr-for-aws/estimating-log-volume.md): Guidance to estimate AWS log volume and expected ingestion impact for CDR for AWS. - [Amazon Security Lake Integration](https://docs.vectra.ai/deployment/cdr-for-aws/amazon-security-lake-integration.md): This article provides guidance for customers who wish to integrate Vectra Detect for AWS with Amazon Security Lake. - [CDR for Azure](https://docs.vectra.ai/deployment/cdr-for-azure.md): Landing page for CDR for Azure deployment and sizing guidance. - [Estimating usage](https://docs.vectra.ai/deployment/cdr-for-azure/estimating-usage.md): This article describes how to quickly gather some basic sizing information around Azure CDR. This information can be used by Vectra sales teams to help estimate service costs. - [Deployment](https://docs.vectra.ai/deployment/cdr-for-azure/deployment.md): CDR for Azure Deployment anchor page with demo video and product related announcements. - [Introduction, architecture, and requirements](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/introduction-architecture-and-requirements.md): What CDR for Azure provides, how it works, and what you need before deploying. - [Automated deployment](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/automated-deployment.md): Deploy CDR for Azure using the Vectra-provided ARM templates. This is the "Automated" deployment method and is recommended for most Vectra customers. - [Manual deployment](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/manual-deployment.md): Deploy CDR for Azure manually without the aid of Vectra provided ARM templates. - [Appendix 1 - Azure configuration notes](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/appendix-1-azure-configuration-notes.md): Azure permissions, objects created by Vectra, and related operational notes to help with permissions issues. - [Appendix 2 - Adding additional locations or resources](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/appendix-2-adding-additional-locations-or-resources.md): Guidance for re-running deployment when you add regions, locations, or Vectra adds new supported resource types. - [Appendix 3 - Troubleshooting issues while onboarding](https://docs.vectra.ai/deployment/cdr-for-azure/deployment/appendix-3-troubleshooting-issues-while-onboarding.md): Common onboarding issues, policy conflicts, and ARM template deployment errors. - [NDR physical appliances](https://docs.vectra.ai/deployment/ndr-physical-appliances.md): Quick start and hardware guidance for physical Brain and Sensor appliances. - [Supported SFPs and QSFPs](https://docs.vectra.ai/deployment/ndr-physical-appliances/supported-sfps-and-qsfps.md): Supported SFP/QSFP transceivers for Vectra physical appliances. - [Physical appliance modes and switching between them](https://docs.vectra.ai/deployment/ndr-physical-appliances/physical-appliance-modes-and-switching-between-them.md): The article describes the Brain, Sensor, and Mixed modes and how to switch between them for physical Vectra appliances. - [X-Series](https://docs.vectra.ai/deployment/ndr-physical-appliances/x-series.md): Quick start guides and lifecycle notes for X-Series appliances. - [X3](https://docs.vectra.ai/deployment/ndr-physical-appliances/x-series/x3.md): The X3 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [X47](https://docs.vectra.ai/deployment/ndr-physical-appliances/x-series/x47.md): The X47 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [X29 (EOS)](https://docs.vectra.ai/deployment/ndr-physical-appliances/x-series/x29.md): The X29 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [X80 (EOL)](https://docs.vectra.ai/deployment/ndr-physical-appliances/x-series/x80.md): The X80 quick start guide provides guidance for initial connection to your network. - [B-Series](https://docs.vectra.ai/deployment/ndr-physical-appliances/b-series.md): Quick start guides and lifecycle notes for B-Series appliances. - [B127](https://docs.vectra.ai/deployment/ndr-physical-appliances/b-series/b127.md): The B127 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [B101 (EOS)](https://docs.vectra.ai/deployment/ndr-physical-appliances/b-series/b101.md): The B101 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S-Series](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series.md): Quick start guides and lifecycle notes for S-Series appliances. - [S1](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s1.md): The S1 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S1v2](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s1v2.md): The S1v2 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S11](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s11.md): The S11 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S17](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s17.md): The S17 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S101](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s101.md): The S101 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. Covers v1 and v2 variants. - [S127](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s127.md): The S127 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [S2 (EOL)](https://docs.vectra.ai/deployment/ndr-physical-appliances/s-series/s2.md): The S2 quick start guide provides guidance for connecting your appliance to your network. - [M-Series](https://docs.vectra.ai/deployment/ndr-physical-appliances/m-series.md): Quick start guides and lifecycle notes for M-Series appliances. - [M47](https://docs.vectra.ai/deployment/ndr-physical-appliances/m-series/m47.md): The M47 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [M29 (EOS)](https://docs.vectra.ai/deployment/ndr-physical-appliances/m-series/m29.md): The M29 quick start guide provides guidance for initial deployment, verifying connectivity, and next steps to take after the appliance is connected to your network. - [NDR virtual / cloud appliances](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances.md): Deploy Brains and vSensors in virtualized and public cloud environments. - [AWS Brain](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain.md): This document outlines the steps to deploy a Vectra Brain in the customer’s AWS account. AWS Brains are supported for both Respond UX and Quadrant UX deployment. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain/introduction-and-requirements.md): Prerequisites and deployment workflow for an AWS Brain. - [Firewall requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain/firewall-requirements.md): Connectivity and security group rules for AWS Brain deployments. - [Deploying the AMI](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain/deploying-the-ami.md): Deploy the AWS Brain AMI using CloudFormation or AWS Marketplace. - [Enabling AWS integrations](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain/enabling-aws-integrations.md): Enable AWS HostID and optional Security Hub and CloudWatch integrations. - [Pairing Sensors or Stream](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-brain/pairing-sensors-or-stream.md): Pair Sensors or Stream to an AWS Brain after provisioning. - [AWS vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor.md): Parent page for AWS vSensor deployment and includes attachments used by the deployment. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/introduction-and-requirements.md): Prerequisites and sizing guidance for deploying Vectra AWS vSensors, including sizing, SRT setup, VPC/subnet planning, and security group requirements. - [Deployment from AWS Marketplace](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/deployment-from-aws-marketplace.md): Step-by-step AWS Marketplace and CloudFormation deployment for AWS vSensors, including key template parameters and post-deploy checks. - [AWS integrations](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/aws-integrations.md): Configure AWS integrations for Vectra (HostID, optional Security Hub, optional CloudWatch), including required IAM users/roles/policies. - [Pairing AWS vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/pairing-aws-vsensors.md): Pair AWS vSensors to a Brain using the Sensor Registration Token workflow (AWS vSensors do not support online pairing). - [Directing traffic to AWS vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/traffic-direction-to-aws-vsensor.md): Configure AWS VPC Traffic Mirroring to send EC2 traffic to a vSensor (mirror filters, mirror targets, and mirror sessions). - [AWS vSensor FAQs](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-vsensor/aws-vsensor-faqs.md): Common questions and troubleshooting for AWS vSensor deployments, including regional limits, validation, updates, and service quotas. - [AWS Security Hub integration (QUX only)](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-security-hub-integration-qux-only.md): This article explains how to setup AWS Security Hub Integration Guide for use with Vectra Quadrant UX deployments. - [AWS best practices](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/aws-best-practices.md): AWS configuration and operational best practices for Vectra appliances and integrations. - [Azure Brain](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain.md): This document outlines the steps to deploy a Vectra Brain in a customer’s Azure subscription. Azure Brains are supported in both Respond UX and Quadrant UX deployments. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain/introduction-and-requirements.md): Prerequisites and high-level workflow for deploying an Azure Brain, including required permissions and Azure resources. - [Firewall requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain/firewall-requirements.md): Azure-specific connectivity guidance for Azure Brain deployments, including NSG rules, DNS, and NTP notes. - [Deploying the Brain image](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain/deploying-the-brain-image.md): Deploy the Vectra Brain VM in Azure using the Azure CLI, including required inputs, sizing, and post-deploy access steps. - [Azure HostID integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain/azure-hostid-integration.md): Enable the Azure HostID integration to enrich hosts using Azure Resource Manager metadata. - [Pairing Sensors or Stream](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-brain/pairing-sensors-or-stream.md): Pair Sensors or Stream to an Azure Brain, with notes on Azure vSensor/Stream pairing limitations. - [Azure vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor.md): Deploy and pair Vectra vSensors in Microsoft Azure environments. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/introduction-and-requirements.md): Azure vSensor deployment introduction and requirements including Sensor Registration Token, Brain and Sensor communications requirements, and Azure requirements. - [Deployment from Azure marketplace](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/deployment-from-azure-marketplace.md): Deploying the Azure vSensor image from the Azure marketplace. - [Azure HostID integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/azure-hostid-integration.md): Configuring HostID integration between your Vectra Brain and the Azure Resource Manager. - [Pairing Azure vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/pairing-azure-vsensors.md): Pair Azure vSensors to a Brain using the Sensor Registration Token workflow (Azure vSensors do not support online pairing). - [Directing traffic to Azure vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/directing-traffic-to-azure-vsensor.md): How to direct traffic to Azure vSensors. - [Azure cPacket cVu-V](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/azure-vsensor/azure-cpacket-cvu-v.md): Optionally deploy cPacket cVu-V in Azure to feed traffic for a Vectra vSensor for packet capture and NDR visibility. - [GCP Brain](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain.md): This document outlines the steps to deploy a Vectra NDR virtual Brain in a customer’s Google Cloud Platform (GCP) project. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain/introduction-and-requirements.md): Overview of the GCP Brain deployment and prerequisites, including required access, tooling, and Vectra-provided resources. - [Preparation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain/preparation.md): Pre-deployment checklist for GCP Brain install, including connectivity, SSH keys, sizing, and required service accounts and roles. - [Firewall requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain/firewall-requirements.md): Network connectivity requirements (ports, protocols, and FQDNs) for Vectra appliances and Vectra cloud services. - [Deployment](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain/deployment.md): Deploy the GCP Brain VM using the Vectra template and \`gcloud infra-manager\`, then connect and complete provisioning. - [Post deployment configuration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-brain/post-deployment-configuration.md): Post-deploy steps for the GCP Brain, including HostID integration setup and GCP Sensor pairing guidance. - [GCP vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor.md): This document outlines the steps to deploy a Vectra NDR virtual Sensor (vSensor) in a customer’s Google Cloud Platform (GCP) project. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/introduction-and-requirements.md): Overview of the GCP vSensor deployment and requirements, including required access, tooling, and Vectra-provided resources. - [Preparation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/preparation.md): Pre-deployment checklist for GCP vSensor install, including connectivity, SSH keys, sizing, and required service accounts and roles. - [Deploying the image](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/deploying-the-image.md): Deploy the GCP vSensor VM using the Vectra template and \`gcloud infra-manager\`. - [Pairing GCP vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/pairing-gcp-vsensors.md): Overview of GCP vSensor pairing, pairing and registration settings, configuring the Brain location and Sensor Registration Token (SRT), and pairing guidance. - [Directing traffic to GCP vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/directing-traffic-to-gcp-vsensors.md): How to direct traffic to the GCP vSensor capture port using Google Network Security Integration (NSI), VPC Packet Mirroring, or 3rd party VXLAN-based packet brokers. - [GCP HostID integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/gcp-vsensor/gcp-hostid-integration.md): This article goes over the GCP HostID integration available for Vectra NDR deployments that capture traffic from GCP VPCs. - [Hyper-V vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor.md): This guide is intended to help customers or partners deploy vSensors in Hyper-V environments and pair them to your Vectra Brain. This includes both Respond UX and Quadrant UX deployments. - [Introduction and general requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/introduction-and-general-requirements.md): Hyper-V vSensor deployment introduction, resource requirements, performance, and connectivity requirements. - [vSensor deployment in Hyper-V](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/vsensor-deployment-in-hyper-v.md): Final checks before Hyper-V vSensor deployment, deploying the vSensor and it's initial embryo state after deployment before pairing and updating. - [Capture configuration and vSwitch guidance](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/capture-configuration-and-vswitch-guidance.md): Guidance for configuring Hyper-V vSensor physical network traffic capture, virtual network traffic capture from other guests or VLANs, and additional virtual switch option guidance. - [Initial vSensor configuration at CLI](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/initial-vsensor-configuration-at-cli.md): Changing from DHCP (default) to static addressing, configuring DNS servers, changing password, and verifying Hyper-V vSensor connectivity. - [Pairing Hyper-V vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/pairing-hyper-v-vsensors.md): Pairing Hyper-V vSensors with a Vectra Brain appliance. - [Traffic capture guidance and validation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/hyper-v-vsensor/traffic-capture-guidance-and-validation.md): Guidance for Hyper-V vSensor traffic capture, PCAP generation, and traffic validation. - [KVM vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor.md): This guide is intended to help customers or partners deploy vSensors in KVM environments and pair them to your Vectra Brain. This includes both Respond UX and Quadrant UX deployments. - [Introduction and general requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor/introduction-and-general-requirements.md): KVM vSensor deployment introduction, resource requirements, performance, connectivity requirements, and preparation list. - [KVM specific details and deployment](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor/kvm-specific-details-and-deployment.md): KVM requirements and networking guidance, interacting with KVM VMs, deploying the vSensor and it's initial embryo state after deployment before pairing and updating. - [Initial vSensor configuration at CLI](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor/initial-vsensor-configuration-at-cli.md): Changing from DHCP (default) to static addressing, configuring DNS servers, changing password, and verifying KVM vSensor connectivity. - [Pairing KVM vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor/pairing-kvm-vsensors.md): Pairing KVM vSensors with a Vectra Brain appliance. - [Traffic capture guidance and validation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/kvm-vsensor/traffic-capture-guidance-and-validation.md): Guidance for KVM vSensor traffic capture, PCAP generation, and traffic validation. - [Nutanix Brain](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain.md): Deploy a Vectra Brain in Nutanix environments. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/introduction-and-requirements.md): Introductions and requirements for deploying a Vectra Brain appliance in Nutanix environments. - [Firewall requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/firewall-requirements.md): Firewall requirements for a Nutanix Brain for both RUX or QUX deployments. - [Licensing and Brain deployment overview](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/licensing-and-brain-deployment-overview.md): How licensing works for Nutanix Brains and an overview of the Nutanix Brain deployment process. - [Brain deployment in Nutanix](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/brain-deployment-in-nutanix.md): How to download the Nutanix Brain image and deploy it within Nutanix. - [Initial startup and licensing](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/initial-startup-and-licensing.md): Initial startup, provisioning proxy configuration, and licensing for Nutanx Brain. Licensing must be completed prior to the main UI or CLI being available. - [Post deployment guidance](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-brain/post-deployment-guidance.md): Guidance for static addressing, updates, performance testing, integrity checks, configuration validation, licensing checks, and resizing your Nutanix Brain. - [Nutanix vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor.md): Deploy and pair a Vectra vSensor on Nutanix AHV. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/introduction-and-requirements.md): Nutanix vSensor deployment introduction, resource requirements including performance and supported Nutanix versions, and connectivity requirements. - [Nutanix traffic capture options](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/nutanix-traffic-capture-options.md): Nutanix terminology and methods to direct traffic to a vSensor capture port. - [Preparing for deployment](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/preparing-for-deployment.md): Information to gather before deployment, choosing a deployment method, and pre-deployment steps shared by all deployment methods. - [Service Chaining 1.0 deployment](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/service-chaining-1.0-deployment.md): Deploying Nutanix vSensor VM using Service Chaining 1.0 to direct traffic at the vSensor capture port. - [Traffic Mirroring deployment](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/traffic-mirroring-deployment.md): Deploying Nutanix vSensor VM using Traffic Mirroring to direct traffic at the vSensor capture port. - [Post deployment configuration (shared for all deployment types)](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/post-deployment-configuration-shared-for-all-deployment-types.md): Shared steps for Nutanix vSensors after the initial deployment in Nutanix is completed. - [Initial vSensor configuration at CLI](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/initial-vsensor-configuration-at-cli.md): Changing from DHCP (default) to static addressing, configuring DNS servers, changing password, and verifying Nutanix vSensor connectivity. - [Pairing Nutanix vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/pairing-nutanix-vsensors.md): Pairing Nutanix vSensors with a Vectra Brain appliance. - [Traffic capture and validation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/traffic-capture-and-validation.md): Guidance for Nutanix vSensor traffic capture, PCAP generation, and traffic validation. - [Appendix - Service Chaining 1.0 alternate API instructions](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/nutanix-vsensor/appendix-service-chaining-1.0-alternate-api-instructions.md): Alternative API-based instructions to fully deploy Service Chaining 1.0 using API calls instead of Nutanix UI-based instructions and a minimal set of API calls that can't be done in the Nutanix UI. - [VMware Brain](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain.md): Deploy a Vectra Brain on VMware vSphere. - [Introduction and requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/introduction-and-requirements.md): Introductions and requirements for deploying a Vectra Brain appliance in VMware vSphere environments. - [VMware deployment details and considerations](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/vmware-deployment-details-and-considerations.md): Guidance for VMware vSensors and Brains including CPU/RAM/Storage, capture ports, modifications required after deployment, use of SANs, vMotion, and unsupported hypervisors. - [Firewall requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/firewall-requirements.md): Firewall requirements for a VMware Brain deployed in a vSphere environment. - [Licensing and Brain deployment overview](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/licensing-and-brain-deployment-overview.md): How licensing works for VMware Brains and an overview of the VMware Brain deployment process. - [Brain deployment in VMware](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/brain-deployment-in-vmware.md): How to download the VMware Brain .OVA and deploy it from in VMware. - [Initial startup and licensing](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/initial-startup-and-licensing.md): Initial startup, provisioning proxy configuration, and licensing for VMware Brain. Licensing must be completed prior to the main UI or CLI being available. - [vCenter integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/vcenter-integration.md): How to configure vCenter integration with your Vectra Brain appliance to help with HostID and enable a virtual infrastructure view. - [Post deployment guidance](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-brain/post-deployment-guidance.md): Guidance for static addressing, updates, performance testing, integrity checks, configuration validation, licensing checks, and resizing your VMware Brain. - [VMware vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor.md): This guide is intended to help customers or partners deploy vSensors in VMware environments and pair them to your Vectra Brain. This includes both Respond UX and Quadrant UX deployments. - [Introduction and general requirements](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/introduction-and-general-requirements.md): VMware vSensor deployment introduction, resource requirements, performance, supported VMware versions, and connectivity requirements. - [VMware deployment details and considerations](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/vmware-deployment-details-and-considerations.md): Guidance for VMware vSensors and Brains including CPU/RAM/Storage, capture ports, modifications required after deployment, use of SANs, vMotion, and unsupported hypervisors. - [vCenter integration](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/vcenter-integration.md): How to configure vCenter integration with your Vectra Brain appliance to help with HostID and enable a virtual infrastructure view. - [vSensor deployment in VMware](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/vsensor-deployment-in-vmware.md): Final checks before VMware vSensor deployment, VMware switch types and port group guidance, deploying the vSensor, it's initial embryo state, and modifying 16 and 32 core vSensors after deployment. - [Initial vSensor configuration at CLI](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/initial-vsensor-configuration-at-cli.md): Changing from DHCP (default) to static addressing, configuring DNS servers, changing password, and verifying VMware vSensor connectivity. - [Pairing VMware vSensors](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/pairing-vmware-vsensors.md): Pairing VMware vSensors with a Vectra Brain appliance. - [Capturing physical network traffic with VMware vSensor](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/capturing-physical-network-traffic-with-vmware-vsensor.md): How to capture physical network traffic using a VMware vSensor. - [Traffic capture guidance and validation](https://docs.vectra.ai/deployment/ndr-virtual-cloud-appliances/vmware-vsensor/traffic-capture-guidance-and-validation.md): Guidance for VMware vSensor traffic capture, PCAP generation, and traffic validation. - [NDR Traffic engineering and validation](https://docs.vectra.ai/deployment/traffic-engineering-and-validation.md): Validate Sensor traffic feeds and troubleshoot capture and quality issues. - [Using Vectra packet capture (PCAP)](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/using-vectra-packet-capture-pcap.md): How to capture PCAPs on Vectra Sensors and download them from your Vectra UI. - [Traffic validation (ENTV)](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/traffic-validation-entv.md): Use ENTV to validate Sensor traffic quality and troubleshoot capture issues. - [Traffic validation (ENTV) alerting](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/entv-syscheck-descriptions.md): Descriptions and advice for system health checks related to traffic validation (ENTV) and how to be alerted on them when they are in a critical state. - [Traffic visibility drop alerting](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/traffic-visibility-drop-alerting.md): Details for system health checks related to traffic visibility changes in your environment and how to be alerted on them when visibility drops for IP counts, bandwidth, and packet counts are critical. - [Network traffic recommendations](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/network-traffic-recommendations.md): Recommended traffic mix, Sensor placement, and encapsulation guidance for NDR. - [Link aggregation (LACP)](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/link-aggregation-lacp.md): Configure and troubleshoot link aggregation (LACP) on Vectra appliances. - [Asymmetry concerns](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/asymmetry-concerns.md): This Knowledge Base article explores the concern of asymmetry in sensor feeds. - [Asset Visibility Forwarding](https://docs.vectra.ai/deployment/traffic-engineering-and-validation/asset-visibility-forwarding.md): How to forward DHCP, mDNS, and NetBIOS traffic over ERSPAN or GRE tunnels to Vectra Sensors to increase coverage of network asset identity-related artifacts for Asset Inventory, HostID, etc. - [Match](https://docs.vectra.ai/deployment/match.md): Start here for Vectra Match deployment, tuning, and troubleshooting. - [Deployment](https://docs.vectra.ai/deployment/match/deployment.md): Deploying Vectra Match including requirements, throughput, licensing, ruleset management, UI and API deployment, and outputting Matches to downstream receivers. - [Introduction and requirements](https://docs.vectra.ai/deployment/match/deployment/introduction-and-requirements.md): Overview of Vectra Match, supported deployments, requirements, permissions, performance notes, and unsupported Suricata features. - [Licensing](https://docs.vectra.ai/deployment/match/deployment/licensing.md): How Match licensing works, including online renewals and offline activation for QUX. - [Ruleset Management Guidance](https://docs.vectra.ai/deployment/match/deployment/ruleset-management-guidance.md): Ruleset limits, sourcing, tuning workflow, curated ruleset downloads, lifecycle management, and Suricata variable support. - [Deployment (UI and general guidance)](https://docs.vectra.ai/deployment/match/deployment/deployment-ui-and-general-guidance.md): End-to-end Match deployment using the UI, including enabling Sensors and assigning rulesets. - [API Deployment](https://docs.vectra.ai/deployment/match/deployment/api-deployment.md): Match API overview and deployment examples for RUX (OAuth) and QUX (token), including ruleset upload and assignment. - [Outputting Matches to downstream receivers](https://docs.vectra.ai/deployment/match/deployment/outputting-matches-to-downstream-receivers.md): Configure Match output via Stream, syslog, Kafka, and Recall. - [FAQ](https://docs.vectra.ai/deployment/match/faq.md): This is a general Frequently Asked Questions (FAQ) article for Vectra Match. - [Troubleshooting](https://docs.vectra.ai/deployment/match/troubleshooting.md): This guide is designed to provide Vectra Match customers with basic troubleshooting capabilities when operating the Vectra Match platform based upon use cases. - [Vectra curated ruleset](https://docs.vectra.ai/deployment/match/vectra-curated-ruleset.md): Vectra provides a curated version of the ET Pro ruleset. This article provides guidance regarding its contents and use. - [Managing rulesets](https://docs.vectra.ai/deployment/match/managing-rulesets.md): This article describes the features available for managing Vectra Match Rulesets in the Vectra UI. - [Performance and rulset optimization](https://docs.vectra.ai/deployment/match/performance-and-rulset-optimization.md): How Suricata/Match performance is measured, what drives throughput, and practical ruleset tuning tips (noise reduction, profiling, bypass rules, and resizing guidance). - [Suricata configuration](https://docs.vectra.ai/deployment/match/suricata-configuration.md): This article provides a sample suricata.yaml file that is the configuration file used by Vectra Sensors that run Vectra Match. - [Stream](https://docs.vectra.ai/deployment/stream.md): Deploy and configure Vectra Stream to forward security-enriched network metadata to your data lake or SIEM. - [Introduction and requirements](https://docs.vectra.ai/deployment/stream/introduction-and-requirements.md): Introduction to Stream deployment, licensing steps, and connectivity requirements. - [Stream sizing](https://docs.vectra.ai/deployment/stream/stream-sizing.md): Sizing guidelines for Stream VMs and M-Series appliances. - [Preparing to deploy Stream](https://docs.vectra.ai/deployment/stream/preparing-to-deploy-stream.md): Download Stream images and collect deployment inputs, including Brain details and Sensor Registration Tokens (SRTs). - [Deployment](https://docs.vectra.ai/deployment/stream/deployment.md): Platform-specific Stream deployment guides as part of overall Stream deployment and configuration process. - [VMware Stream deployment](https://docs.vectra.ai/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](https://docs.vectra.ai/deployment/stream/deployment/hyper-v-stream-deployment.md): Deploy Stream on Hyper-V using the provided VHD and PowerShell deployment script. - [KVM Stream deployment](https://docs.vectra.ai/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](https://docs.vectra.ai/deployment/stream/deployment/aws-stream-deployment.md): Deploying Stream in AWS environments using and image from the AWS Marketplace. - [Azure Stream deployment](https://docs.vectra.ai/deployment/stream/deployment/azure-stream-deployment.md): Deploying Stream in Azure using a image from the Azure Marketplace. - [GCP Stream deployment](https://docs.vectra.ai/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](https://docs.vectra.ai/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](https://docs.vectra.ai/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](https://docs.vectra.ai/deployment/stream/pairing-stream-appliances.md): How to pair Stream appliances with your Vectra Brain appliance. - [Metadata filtering and publishing](https://docs.vectra.ai/deployment/stream/metadata-filtering-and-publishing.md): How to configure options for metadata filtering and the destination publisher of your choice. - [Publisher specific guidance](https://docs.vectra.ai/deployment/stream/publisher-specific-guidance.md): Instructions for specific publishers that you are using to receive Stream data. - [Elastic, Syslog, and Kafka](https://docs.vectra.ai/deployment/stream/publisher-specific-guidance/elastic-syslog-and-kafka.md): Details for Elastic, Syslog, and Kafka Stream publishers. - [ELK integration](https://docs.vectra.ai/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](https://docs.vectra.ai/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. - [Recall (QUX only)](https://docs.vectra.ai/deployment/recall-qux-only.md): Start here for Recall setup and access in Quadrant UX deployments. - [Getting started with Recall](https://docs.vectra.ai/deployment/recall-qux-only/getting-started-with-recall.md): Prerequisites and first steps to start using Recall in Quadrant UX. - [Enabling forwarding to Recall](https://docs.vectra.ai/deployment/recall-qux-only/enabling-forwarding-to-recall.md): Configure Stream to forward supported metadata to Recall. - [Recall indices & content for Stream in Elk v7](https://docs.vectra.ai/deployment/recall-qux-only/recall-indices-and-content-for-stream-in-elk-v7.md): Index patterns and packaged content for using Recall with ELK v7. - [SSO access to Recall](https://docs.vectra.ai/deployment/recall-qux-only/sso-access-to-recall.md): Set up SSO for Recall access and troubleshoot common login issues. - [Appliance operations](https://docs.vectra.ai/deployment/appliance-operations.md): Common operational tasks for Vectra appliances, from access to health checks. - [Configuring IP settings for appliances](https://docs.vectra.ai/deployment/appliance-operations/configuring-ip-settings-for-appliances.md): This article provides instructions for how to configure the IP address of a Vectra appliance. - [Pairing appliances](https://docs.vectra.ai/deployment/appliance-operations/pairing-appliances.md): Overview of Sensor/Stream pairing, pairing and registration settings, configuring the Brain location and Sensor Registration Token (SRT), and pairing guidance. - [Unpairing Sensor from Brain](https://docs.vectra.ai/deployment/appliance-operations/unpairing-sensor-from-brain.md): Safely unpair a Sensor from a Brain and clean up pairing state. - [SSH login process for CLI](https://docs.vectra.ai/deployment/appliance-operations/ssh-login-process-for-cli.md): This article discusses how users can access the Vectra Support Command Line Interface (vscli) on Vectra appliances. - [Console access on appliances](https://docs.vectra.ai/deployment/appliance-operations/console-access-on-appliances.md): This article describes methods of accessing the console on Vectra appliances so that you can login as the \"vectra\" user to perform commands using the CLI. - [Changing Sensor CLI password](https://docs.vectra.ai/deployment/appliance-operations/changing-sensor-cli-password.md): This article provides steps to change the password of a Vectra Sensor CLI password. - [IPMI / iDRAC configuration](https://docs.vectra.ai/deployment/appliance-operations/ipmi-idrac-configuration.md): Configure out-of-band management (IPMI/iDRAC) for Vectra appliances. - [Monitoring appliance health](https://docs.vectra.ai/deployment/appliance-operations/monitoring-appliance-health.md): This article describes ways how you could perform routine monitoring the health of you physical and virtual Vectra appliances for both Brain and Sensors. - [Monitoring Vectra with Zabbix](https://docs.vectra.ai/deployment/appliance-operations/monitoring-vectra-with-zabbix.md): Monitor Brain and Sensor health with Zabbix checks and dashboards. - [Resizing virtual appliances](https://docs.vectra.ai/deployment/appliance-operations/resizing-virtual-appliances.md): Change CPU/RAM/disk resources for virtual Brains, Sensors, and Stream appliances. - [Shutting down appliances gracefully](https://docs.vectra.ai/deployment/appliance-operations/shutting-down-appliances-gracefully.md): Shutdown and reboot procedures that protect data and prevent corruption. - [Understanding the v2.5 health API](https://docs.vectra.ai/deployment/appliance-operations/understanding-the-v25-health-api.md): Health API endpoints and fields for monitoring Quadrant UX appliances. - [FIPS mode enabling and disabling](https://docs.vectra.ai/deployment/appliance-operations/fips-mode-enabling-and-disabling.md): What FIPS mode for Vectra appliances does and how to enable and disable it. - [Deprecated / Retired](https://docs.vectra.ai/deployment/deprecated-retired.md): Retired products and legacy deployment guidance. - [NDR for Cloud (Gigamon)](https://docs.vectra.ai/deployment/deprecated-retired/ndr-for-cloud-gigamon.md): Legacy NDR for Cloud (Gigamon) deployment docs and reference material. - [AWS](https://docs.vectra.ai/deployment/deprecated-retired/ndr-for-cloud-gigamon/aws.md): Legacy NDR for Cloud (Gigamon) guidance for AWS. - [Azure](https://docs.vectra.ai/deployment/deprecated-retired/ndr-for-cloud-gigamon/azure.md): Legacy NDR for Cloud (Gigamon) guidance for Azure. - [Reference architectures](https://docs.vectra.ai/deployment/deprecated-retired/ndr-for-cloud-gigamon/reference-architectures.md): Legacy reference architectures for NDR for Cloud (Gigamon). - [NDR for Cloud end of sales and support](https://docs.vectra.ai/deployment/deprecated-retired/ndr-for-cloud-gigamon/ndr-for-cloud-end-of-sales-and-support.md): End-of-sales and end-of-support timeline for NDR for Cloud (Gigamon), including renewal limits and recommended migration options. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.vectra.ai/deployment.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.