Yes, you can effectively use Ansible with Cisco CML 2 for comprehensive Cisco Modeling Labs automation. This integration allows network engineers and IT administrators to automate the deployment, configuration, and management of virtual network topologies, improving consistency, speed, and testing efficiency in a cost-effective virtual environment.
What Is Cisco CML 2?
Cisco Modeling Labs (CML) enables network engineers to build and run complex network topologies for testing and learning in a virtual environment. It allows you to spin up topologies multiple times without interference from previous tests and can integrate with your home, office, or data center IP addressing to extend connectivity to CML nodes for external tools and automated testing.
Why Should You Use Ansible for Network Automation?
Ansible is a widely used open-source automation tool that supports Infrastructure as Code (IaC) practices, allowing you to define, control, and manage network infrastructure using structured text files.
Using Ansible for network automation provides:
- Reproducibility for consistent deployments
- Configuration consistency across devices
- Speed in deploying and updating configurations
- Approval and testing pipelines for verifying changes before deployment
Ansible complements tools like Terraform by managing ongoing device configurations within infrastructure environments created by tools like Cisco CML.
How Does Ansible Integrate with Cisco CML 2?
What Is the Ansible CML Collection?
The Ansible CML Collection extends Ansible’s capabilities to Cisco Modeling Labs by providing modules for:
- Creating and managing topologies
- Starting and stopping topologies and hosts
- Managing lab resources dynamically
How Does the Dynamic Inventory Plugin Work?
The collection includes a dynamic inventory plugin that:
- Retrieves topology details (hostname, interfaces, IPs)
- Assigns
ansible_hostusing the first available IP address or via PATty functionality - Processes tags to add devices to Ansible groups automatically
- Supports
group_tagsto structure device management within your playbooks
How Do You Set Up Ansible with Cisco CML 2?
- Install the Ansible CML Collection:
ansible-galaxy collection install cisco.cml - Set environment variables for CML access:
export CML_HOST=my-cml-server export CML_USERNAME=my-username export CML_PASSWORD=my-password - Create a
cml.ymlinventory file:plugin: cisco.cml.cml_inventory group_tags: network, ios, nxos, router - Build and start topologies using:
ansible-playbook cisco.cml.build -e wait=yes -e cml_lab_file=topology.yaml - Retrieve inventory with:
ansible-playbook cisco.cml.inventory
What Are the Benefits of Using Ansible with Cisco CML 2?
- Pre-deployment validation in a virtual environment
- Automated testing pipelines for network changes
- Consistent lab setup for learning and development
- Infrastructure as Code (IaC) practices applied to network management
- Efficient management of multiple Cisco OS platforms (IOS XE, NX-OS) within CML
Frequently Asked Questions
Q1.What is the Cisco CML Collection in Ansible?
It is a set of Ansible modules and plugins that allow automated deployment, management, and dynamic inventory management of Cisco Modeling Labs environments.
Q2.How does the dynamic inventory plugin help in CML 2?
It dynamically retrieves device information from your running CML lab, enabling Ansible to manage devices automatically by providing IP addresses, ports, and grouping devices for playbooks.
Q3.Can Ansible configure Cisco IOS XE and NX-OS devices in CML?
Yes, Ansible can manage both IOS XE and NX-OS devices using the appropriate modules while handling platform-specific differences within your playbooks.
Q4.What are the main use cases for Ansible with CML 2?
Use cases include automating device configurations, testing network changes before production deployment, and learning network automation practices in a controlled environment.
Using Ansible with Cisco CML 2 is like using an automated workflow to design, build, and maintain your virtual network environments consistently and efficiently, ensuring your automation practices are production-ready while reducing manual overhead.
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