Azure Cloud Onboarding

New to Fusion cloud onboarding? Start with Fusion Onboarding for Cloud Engineers for deployment models, scope planning, and cloud-specific guidance.

Use one of these three paths to configure Azure VNet flow logs, cloud context, and onboarding to Fusion.

Choose the path that fits your environment:

• Manual onboarding — best for a small number of VNets or an initial PoC
• Vectra onboarding automation — best for large or dynamic Azure environments
• Custom IaC automation — best if you prefer integrating to your existing IaC

1. Manual onboarding

Follow step-by-step guides to configure Azure and Fusion, onboard each VNet, and add cloud context for each subscription.

Best for

Organizations with a small number of VNets and subscriptions that rarely change, or for an initial PoC.

Next steps

• Azure Virtual network (VNet) Flow Log Setup
• Azure Context Integration
• Quickstart: Azure

2. Vectra Cloud Onboarding Automation for Azure Tenants

For detailed documentation, see Vectra Terraform Cloud Onboarding for Azure Tenants.

Using Terraform to automate onboarding

Access Vectra's Terraform automation at https://github.com/netography/neto-onboarding.

For access to the repo, reach out to your Vectra contact with your GitHub ID or request the latest release package.

Vectra provides the neto-onboarding Terraform project for AWS Organizations, Azure Tenants, and GCP Organizations.

This automation can:

• Enable and configure AWS VPC flow logs, Azure VNet flow logs, and GCP VPC flow logs based on policy and tags
• Deploy the infrastructure required to integrate with Fusion across multiple accounts, subscriptions, or projects
• Add VPCs and VNets configured for flow logging to Vectra Fusion as traffic sources
• Deploy a single AWS Lambda, Azure Function, or Google Cloud Function for context enrichment across all in-scope environments
• Monitor for VPC and VNet changes, onboard new in-scope networks, and offboard networks that leave scope

Best for

Organizations that want a complete, supported, end-to-end solution for managing flow log configuration and onboarding to Fusion. This is usually the fastest path for large, dynamic, or multi-cloud environments.

Next steps

• Reach out to your Vectra contact and request access to the GitHub repo.
• Include your GitHub ID, or request the latest release package.

3. Custom IaC automation

Use your existing automation pipelines or scripts to:

• Create Azure Storage accounts or blobs for flow log delivery
• Configure the permissions Fusion needs to read flow logs from storage and read resource metadata from your Azure subscriptions
• Configure VNet flow logs on each VNet to write to Azure Storage
• Call the Fusion API to create a Fusion traffic source for each VNet and a Fusion context integration for each subscription that contains relevant resources

Best for

Organizations experienced with Azure IaC that already provision VNets or VNet flow log configurations through automation and want to extend that workflow to Fusion.

Next steps

Vectra's Cloud Onboarding Automation for Azure Tenants, described in option 2, provides example code using Terraform, Azure Functions, and Python for the full onboarding flow. Review that implementation and reach out to Vectra if you need help building custom IaC.

In addition, Fusion traffic source creation and context integration options are documented in Vectra AWS Onboarding Guide for Cloud Automation Engineers. These methods apply across clouds.