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eos_designs is a role that provides an abstracted data model to deploy various network designs and use cases. In addition, the templating framework provides the capability to extend or modify the defaults to accommodate specific environment needs.

The eos_designs role:

  • Enables network engineers to deploy Arista Leaf & Spine fabrics with underlay and overlay network services effectively and with consistency.
  • Designed to be extended easily, leveraging a “stackable template architecture.”
  • Designed to be used with the eos_cli_config_gen role to generate a complete switch configuration and applied using a config replace strategy with either
  • Designed to generate the intended configuration offline, without relying on switch current state information.
  • Facilitates the evaluation of the configuration post-deployment with eos_validate_state role.
  • Facilitates the evaluation of the configuration prior to deployment with tools like Batfish

Role Inputs and Outputs

Figure 1 below provides a visualization of the role’s inputs, outputs, and tasks in order executed by the role.

EOS Designs Overview EOS Designs Overview


  • Desired variables are defined in: role defaults, group_vars, and host_vars variables.
  • If desired, the role can be extended to leverage data from dynamic sources such as an IPAM or CMDB.

To understand the interaction between eos_designs input variables and eos_cli_config_gen input variables refer to the Variables Precedence section


  • A structured EOS configuration file in YAML format. This provides the following benefits:
    • Leverage the structured data to create eos CLI configuration.
    • Leverage the structured data to create end-user documentation.
    • Leverage the structured data for pre and post-fabric validation.
  • Fabric Documentation in Markdown format.
  • Leaf and Spine Topology summary in CSV format.


  1. Set AVD facts.
  2. Generate YAML file with host variables (Optional for debugging/development with tag -> debug).
  3. Set device configuration facts.
  4. Write structured device configuration to YAML file.
  5. Include device structured configuration that was previously generated.
  6. Generate fabric documentation in Markdown format.
  7. Generate fabric point-to-point links summary in CSV format.
  8. Generate fabric physical topology summary in CSV format.

Reference Designs

The following reference design types are included in the roles default variables:

  • L3LS EVPN: Layer 3 Leaf Spine with VXLAN EVPN
  • L2LS: Layer 2 Leaf Spine

Layer 3 Leaf Spine with VXLAN EVPN

Feasible Layer 3 Leaf & Spine topologies leveraging VXLAN data-plane with an EVPN control-plane:

Underlay Overlay Topology
eBGP eBGP Multi-Stage + L2 Leafs
ISIS eBGP Multi-Stage + L2 Leafs
ISIS iBGP Multi-Stage + L2 Leafs
OSPF eBGP Multi-Stage + L2 Leafs
OSPF iBGP Multi-Stage + L2 Leafs
RFC5549(eBGP) eBGP Multi-Stage + L2 Leafs

Across all designs, the following functionality is provided:

  • Flexible placement of EVPN Route Server (RS) or Route Reflector (RR), including dedicated overlay controller
  • EVPN service definition: Layer 2 and Layer 3 (Network Services)
  • L3 Edge ports definition
  • L2 Edge ports definition (connected endpoints)
  • Multi-Domain EVPN Gateway functionality

5 Stage topology example:

Disaggregated topology example:

Layer 2 Leaf Spine

Spine Uplinks Leaf Uplinks Topology
L2 L2 Arbitrary or leaf-spine
L3 + Static routes L2 Arbitrary or leaf-spine
L3 + eBGP L2 Arbitrary or leaf-spine
L3 + OSPF L2 Arbitrary or leaf-spine
L3 + ISIS L2 Arbitrary or leaf-spine


Underlay Overlay Topology
ISIS-SR iBGP Arbitrary Mesh or leaf-spine
ISIS-SR + LDP iBGP Arbitrary Mesh or leaf-spine
ISIS + LDP iBGP Arbitrary Mesh or leaf-spine
OSPF + LDP iBGP Arbitrary Mesh or leaf-spine


Requirements are located in the collection installation guide

Input Variables

The input variables are documented in the Input Variables section.

Input variables are grouped by configuration elements and are typically stored in different group_vars files.

Role Configuration

The role configuration are documented in the Role Configuration section.

Role configuration settings can be set either as regular inventory variables or directly as task_vars on the import_role task.

vEOS-LAB Know Caveats and Recommendations

  • vEOS-LAB is a great tool to learn and test the AVD automation framework. This is the primary tool leveraged by Arista Ansible Team for development and testing efforts.
  • vEOS-lab enables you to create and run replicas of physical networks within a risk-free virtual environment.
  • Virtual networks created with vEOS-lab can be used for network modeling, planning for new services, or validating new features and functionality for the installed network.
  • vEOS-lab isn’t a network simulator but the exact EOS implementation that runs on the hardware platforms.
  • Supported features are documented here: Arista EOS overview.

However, because vEOS-LAB implements a virtual data plane, there are known caveats and adjustments required to default arista.avd settings:

Variables adjustments required for vEOS-LAB:

# Update p2p_uplinks_mtu 9214 -> 1500, MTU 9214 is not supported in vEOS-LAB on some hypervisors.
p2p_uplinks_mtu: 1500

# Adjust default bfd values, to avoid high CPU.
  interval: 1200
  min_rx: 1200
  multiplier: 3


Project is published under Apache 2.0 License