> For the complete documentation index, see [llms.txt](https://docs.fusion.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fusion.vectra.ai/cloud-onboarding/aws-cloud-onboarding.md).

# AWS Cloud Onboarding

{% hint style="info" %}
New to Fusion cloud onboarding? Start with [Fusion Onboarding for Cloud Engineers](/cloud-onboarding/fusion-onboarding-for-cloud-engineers.md) for deployment models, scope planning, and cloud-specific guidance.
{% endhint %}

Use one of these three paths to configure AWS VPC flow logs, Route 53 Resolver logs, and onboarding to Fusion.

Choose the path that fits your environment:

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

### 1. Manual onboarding

Follow step-by-step guides to configure AWS and Fusion and onboard each VPC.

**Best for**

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

**Next steps**

* [AWS VPC via S3 Setup (AWS Console method)](broken://spaces/7upncbzIm3grJePXaOO9/pages/ZwWkmxuU7SRQaes4N8ZS)
* [AWS VPC via S3 Setup (CloudFormation method)](broken://spaces/7upncbzIm3grJePXaOO9/pages/Yle4OXVbaq9u1PuLy9W5)
* [Quickstart: AWS](/cloud-onboarding/aws-cloud-onboarding/quickstart-aws.md)
* [AWS Context Integration](/enrich-traffic-with-context/configure-context-integrations/aws.md)

### 2. Vectra Cloud Onboarding Automation for AWS Organizations

For detailed documentation, see [Vectra Terraform / CloudFormation StackSet Cloud Onboarding Automation for AWS Organizations](/cloud-onboarding/aws-cloud-onboarding/neto-onboarding-aws.md).

{% hint style="info" icon="robot" %}
**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
* Adds VPCs/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
  {% endhint %}

**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:

* Deploy the IAM policy and custom role needed for Vectra to read flow logs from S3 buckets
* Configure VPC Flow Logs on each VPC to write to S3
* Call the Fusion API to create a Fusion traffic source for each VPC, or for each account and region when using a centralized S3 destination

**Best for**

Organizations experienced with AWS IaC that already provision VPCs or VPC flow log configurations through automation and want to extend that workflow to Fusion.

**Next steps**

* [AWS Custom IAC Onboarding for Cloud Automation Engineers](/cloud-onboarding/aws-cloud-onboarding/aws-configuration-automation-for-multiple-vpcs.md)


---

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