Technical Articles

Best Network Automation Tools for Network Engineers

Netodata
June 1, 2025

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Best Network Automation Tools for Network Engineers

In today’s fast-paced IT landscape, network automation tools are essential for streamlining complex tasks, reducing human errors, and increasing efficiency in network management. As networks grow in complexity, manual configurations become impractical, making automation a necessity rather than a luxury for network engineers. Selecting the right tools can make a significant difference in optimizing performance, ensuring security, and simplifying operations. In this article, we’ll explore the best network automation tools for network engineers, focusing on their capabilities, use cases, and how they can help automate enterprise networks.

Top Network Automation Tools for Engineers

1. NetBox

NetBox serves as a critical foundation for network automation by providing a reliable source-of-truth for network infrastructure data. It excels at IP address management (IPAM), device inventory tracking, and topology documentation.

How it works: NetBox maintains a central database of all network devices, IP addresses, racks, and connections. Through its RESTful API, other automation tools can query and update this data, ensuring all automated processes work with accurate information.

Example: A network engineer can use NetBox to document a new subnet allocation, then use the API to extract this information for automated VLAN provisioning:

import requests

# Query NetBox API for available prefix information
response = requests.get(
    'https://netbox.example.com/api/ipam/prefixes/',
    headers={'Authorization': 'Token abc123'},
    params={'site': 'dc-east'}
)

available_prefixes = response.json()['results']

NetBox Documentation

2. Ansible

Ansible remains one of the most popular open-source network automation tools, known for its agentless architecture and ease of use. Network engineers use Ansible for configuration management, orchestration, and automation of network devices across multiple vendors.

How it works: Ansible uses YAML-based playbooks to define automation tasks and leverages SSH or API connections to configure network devices without requiring agents installed on the devices themselves.

Example: Configuring VLANs across multiple switches:

---
- name: Configure VLANs on network devices
  hosts: switches
  gather_facts: no

  tasks:
  - name: Create VLAN 100
    cisco.ios.ios_vlans:
      vlan_id: 100
      name: "User-VLAN"
      state: present

  - name: Configure VLAN interface
    cisco.ios.ios_l2_interface:
      name: "GigabitEthernet0/1"
      mode: access
      access_vlan: 100

Ansible Network Automation Documentation

3. Nornir

Nornir is a powerful Python automation framework designed specifically for networking. It provides superior flexibility and speed compared to other tools, making it ideal for complex automation tasks.

How it works: Nornir leverages Python’s programming capabilities while handling device connections and task execution in parallel. Unlike Ansible, Nornir is a Python library that you import into your scripts, giving you full programming flexibility.

Example: Gathering interface information from multiple devices:

from nornir import InitNornir
from nornir_napalm.plugins.tasks import napalm_get
from nornir_utils.plugins.functions import print_result

# Initialize Nornir with inventory
nr = InitNornir(config_file="config.yaml")

# Run task to get interface information from all devices
result = nr.run(
    task=napalm_get,
    getters=["interfaces"]
)

# Print results
print_result(result)

Nornir Documentation

4. Napalm (Network Automation and Programmability Abstraction Layer)

Napalm provides a unified API to interact with different network device operating systems, making multi-vendor automation more straightforward.

How it works: Napalm abstracts the differences between network operating systems, allowing engineers to use consistent methods regardless of whether they’re working with Cisco IOS, Juniper JunOS, or Arista EOS.

Example: Configuring a banner on different vendor devices:

from napalm import get_network_driver

# Configure devices from different vendors using the same code
for device_os, device_ip in [("ios", "192.168.1.1"), ("junos", "192.168.1.2")]:
    driver = get_network_driver(device_os)
    device = driver(hostname=device_ip, username="admin", password="password")
    device.open()

    device.load_merge_candidate(config="banner motd 'Authorized access only'")
    device.commit_config()
    device.close()

Napalm Documentation

5. Terraform

While traditionally associated with cloud infrastructure, Terraform is increasingly used for network infrastructure as code, particularly in environments that blend traditional networking with cloud resources.

How it works: Terraform uses declarative configuration files to define the desired state of infrastructure, including network components. Its providers support various networking platforms.

Example: Provisioning network resources in AWS:

resource "aws_vpc" "main" {
  cidr_block = "10.0.0.0/16"
  tags = {
    Name = "Production VPC"
  }
}

resource "aws_subnet" "public" {
  vpc_id     = aws_vpc.main.id
  cidr_block = "10.0.1.0/24"
  tags = {
    Name = "Public Subnet"
  }
}

resource "aws_security_group" "allow_web" {
  name        = "allow_web_traffic"
  description = "Allow web inbound traffic"
  vpc_id      = aws_vpc.main.id

  ingress {
    from_port   = 443
    to_port     = 443
    protocol    = "tcp"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

Terraform Networking Documentation

Challenges in Network Automation & How to Overcome Them

1. Integration Complexity

Many enterprises have legacy systems that are not designed to work with modern automation frameworks. These legacy devices often lack API support, have proprietary interfaces, or run outdated operating systems that don’t support standard automation protocols. This creates integration silos and requires maintaining multiple automation approaches simultaneously.

Solution:

  • Implement NetBox or similar IPAM/DCIM tools as your centralized source of truth to document all network components regardless of automation capability
  • Use protocol adapters like NAPALM that abstract vendor-specific implementations behind a unified API
  • For truly legacy devices, consider implementing “proxy automation” where commands are executed through screen-scraping tools like Netmiko or Expect scripts
  • Create standardized data models using tools like YANG to ensure consistent representation of network data across different systems
  • Where possible, establish APIs in front of legacy systems using middleware like custom REST API gateways
  • Plan strategic equipment refresh cycles that prioritize devices with poor automation capabilities

2. Skill Gaps in Networking Teams

Traditional network engineers may not have expertise in automation scripting and programming concepts. Many teams face resistance to adoption due to unfamiliarity with software development practices, version control systems, and programming languages needed for effective automation.

Solution:

  • Develop a formalized training program that bridges traditional networking with automation concepts
  • Start with practical Python workshops focused specifically on network use cases rather than general programming
  • Create internal “automation champions” who can mentor other team members through early projects
  • Implement pair programming sessions where network engineers work alongside developers
  • Invest in certifications like Cisco DevNet Associate, Juniper JNCIA-DevOps, or Red Hat Ansible Automation
  • Build a resource library including video tutorials, documentation, and example code repositories
  • Establish automation communities of practice where engineers can share successes and challenges
  • Consider hiring network reliability engineers (NREs) who specialize in the intersection of networking and automation
  • Use tools like Ansible that have a gentler learning curve before advancing to more complex frameworks

3. Maintaining Configuration Consistency

As automation scales, maintaining consistent configurations becomes challenging. Configuration drift, where devices gradually develop inconsistencies due to manual changes or failed automation attempts, can undermine reliability and security. Without proper governance, automated systems can actually increase complexity rather than reduce it.

Solution:

  • Start with practical Python workshops focused specifically on network use cases rather than general programming
  • Create internal “automation champions” who can mentor other team members through early projects
  • Invest in certifications like Cisco DevNet Associate, Juniper JNCIA-DevOps, or Red Hat Ansible Automation
  • Build a resource library including video tutorials, documentation, and example code repositories
  • Establish automation communities of practice where engineers can share successes and challenges
  • Consider hiring network reliability engineers (NREs) who specialize in the intersection of networking and automation
  • Use tools like Ansible that have a gentler learning curve before advancing to more complex frameworks

Conclusion: Building an Effective Network Automation Strategy

Selecting the right combination of network automation tools requires a strategic approach that considers your entire automation lifecycle. Start with NetBox as your source of truth to ensure all automation efforts are based on accurate data. Then, depending on your team’s skills and requirements, implement Ansible for broad, declarative automation or Nornir for more programmatic control.

The most successful network automation implementations typically use multiple tools in concert:

  1. Foundation layer: NetBox for inventory and IPAM
  2. Orchestration layer: Ansible or Nornir for configuration and operational tasks
  3. Abstraction layer: Napalm for vendor-neutral operations
  4. Integration layer: Custom scripts or Terraform for linking to other systems

Begin your automation journey with small, high-value tasks that provide quick wins. As your team gains confidence and expertise, gradually expand your automation footprint. Remember that successful network automation is as much about people and processes as it is about tools—invest in training and create clear workflows for making changes.

By building a comprehensive automation strategy that combines the right tools with proper processes, network engineers can transform their operations from reactive to proactive, ultimately delivering more reliable and agile network services to their organizations.

Are you ready to automate your network? Start by evaluating your existing infrastructure and business needs, choose the tools that best align with your goals, and begin building your network automation ecosystem today.

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Nautobot icon

Nautobot

The central Source of Truth for network infrastructure data. Nautobot serves as:
Authoritative inventory database
IP address components tracking
Configuration template repository
Automation platform

Nornir

A Python automation framework specifically designed for network automation. Nornir provides:
High-performance concurrent task execution
Deep Python integration
Flexible inventory management
Fine-grained control over network operations
CI/CD

Orchestration & CD/CI

We integrate industry-standard orchestration tools to ensure reliable automation delivery:
Git-based version control
Automated pipelines
Controlled deployment workflows
Continuous integration practices

Ansible

An industry-standard automation platform that excels at network configuration management. We utilize Ansible for:
Network device configuration deployment
State validation and compliance checking
Integration with custom Python modules
Standardized workflow automation

Netbox

The central Source of Truth for network infrastructure data. NetBox serves as:
Authoritative inventory database
IP address components tracking
Configuration template repository
REST API provider for automation workflows

Python

The foundation of our automation framework, Python enables us to create modular, maintainable, and efficient network automation solutions. We leverage Python's extensive standard library and carefully selected packages to build:
Reusable automation components
Custom network management tools
API integrations
Data processing pipelines