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This release is a pre-release and may not be stable for production use.

IP Fabric Infoblox Integration

IP Fabric

IP Fabric is a vendor-neutral network assurance platform that automates the holistic discovery, verification, visualization, and documentation of large-scale enterprise networks, reducing the associated costs and required resources whilst improving security and efficiency.

It supports your engineering and operations teams, underpinning migration and transformation projects. IP Fabric will revolutionize how you approach network visibility and assurance, security assurance, automation, multi-cloud networking, and trouble resolution.

Integrations or scripts should not be installed directly on the IP Fabric VM unless directly communicated from the IP Fabric Support or Solution Architect teams. Any action on the Command-Line Interface (CLI) using the root, osadmin, or autoboss account may cause irreversible, detrimental changes to the product and can render the system unusable.

Project Description

Infoblox NIOS and IP Fabric work together by validating DDI data with end-to-end network insights. IP Fabric’s automated network mapping and time-based snapshots, combined with Infoblox's up-to-date DDI data, provide network engineers with an accurate and actionable view of the network. This integration enhances network visibility, ensures configuration and compliance consistency, and helps maintain a secure and stable network environment.

For full documentation please visit IP Fabric Infoblox Integration.

Installation

pip install ipfabric-infoblox

Configuration

  1. Ensure you have a configuration file in config.yml:
---
networkViews:
  - name: default
    default: true
    managed_ip_discovery: true
  1. Ensure credentials are set in the environment:
IPF_TOKEN=
IPF_URL=https://<url>/

IB_USERNAME=
IB_PASSWORD=
IB_HOST=
IB_VERIFY=false

Usage

  1. Run a diff against the current state of the network:
ipfabric-infoblox diff
  1. Apply the changes to the Infoblox:
ipfabric-infoblox sync

Support

Please open a Gitlab Issue for support.

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