Network Automation Basics and Benefits

Network automation has emerged as a crucial solution to address many challenges, including allowing network engineers to streamline their workflows, reduce errors, and improve operational efficiency. 

In this article, we have explained the fundamentals of network automation, understood its use cases and benefits, and also explored the career options for a network automation engineer.

Furthermore, if you are interested in starting a career as a network automation engineer, you can check out our network automation training courses.

What is Network Automation?

Network automation is the process of performing various repetitive tasks such as device configurations, monitoring, and troubleshooting using either scripts or software and tools in a network environment.

Including network automation in your infrastructure will be beneficial as it reduces efforts and time, allowing you to focus on strategic planning, optimization, and innovative projects. The key objective of network automation is to enhance network agility, improve reliability, and adapt quickly to changing business needs.

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Key Concepts in Network Automation

Key concepts in this field include automation frameworks, orchestration, and configuration management. Let's explore more important concepts in network automation:

1. APIs (Application Programming Interfaces)

APIs are essential building blocks of network automation. They allow different software systems to interact and exchange information. Network devices typically expose APIs that provide programmatic access to their configurations and status.

By using APIs, network engineers can automate device configurations, collect real-time data, and interact with network devices in a standardized manner.

2. Configuration Management

Configuration management is a core aspect of network automation. It involves creating, managing, and updating network device configurations automatically. With automation, engineers can apply consistent configurations across devices, enforce policies, and rapidly deploy services with predefined templates.

3. Orchestration

Orchestration is the automation of end-to-end workflows that involve multiple network devices and services. It enables network engineers to design complex tasks that span across devices and execute them seamlessly.

Orchestration enhances network efficiency, reduces manual intervention, and ensures the smooth functioning of interconnected services.

4. Monitoring and Telemetry

Monitoring and telemetry provide real-time data about network performance and health. By using automation to collect and analyze telemetry data, network engineers gain valuable insights into network behavior and can take proactive measures to address potential issues before they impact network performance.

5. Self-Healing Networks

Self-healing networks are an advanced application of automation. By implementing automated processes that detect and respond to network issues in real time, network engineers can create a more resilient and robust network infrastructure. Self-healing networks lead to reduced downtime and improved network availability.

Benefits of Network Automation

Network automation offers a myriad of benefits that positively impact network engineers and the organizations they serve:

1. Time and Resource Efficiency

Automating repetitive tasks reduces the time and effort required for network management. Mundane chores like configuring devices, updating firmware, and backing up configurations can be automated, freeing up valuable time for network engineers to concentrate on critical issues and high-value projects.

2. Consistency and Accuracy

Automated processes ensure uniformity and consistency across network devices. By eliminating human errors in configurations, network engineers can achieve a more stable and reliable network environment.

3. Rapid Deployment and Scalability

Automation facilitates the swift and consistent deployment of network services. When new network devices are added, automation can efficiently configure them to match existing standards, reducing the time and effort required for expansion.

4. Reduced Downtime and Faster Troubleshooting

Automated monitoring and self-healing features can proactively detect network issues and apply predefined remediation actions. This leads to reduced downtime, faster troubleshooting, and improved network availability.

5. Compliance and Security

Network automation helps enforce security policies consistently across devices and ensures compliance with industry regulations and organizational standards.

Popular Network Automation Tools

Several powerful tools and frameworks are available to assist network engineers in their automation journey. Here are some of the most widely used ones:

1. Ansible

Ansible is an open-source tool that is used for automation, which allows network engineers to define and create tasks in a declarative language. With Ansible, tasks can be executed across multiple devices simultaneously, simplifying network automation and reducing operational overhead.

Example Scenario:

Let's consider a scenario where a network engineer needs to configure a set of switches with a specific VLAN configuration across different locations. If you use a traditional manual approach, then this process would be time-consuming and error-prone.

However, with Ansible, the engineer can define a playbook (a set of tasks) that specifies the VLAN configuration and applies it to all switches simultaneously.

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2. Python

Python is a popular programming language extensively used in network automation. It offers numerous libraries and frameworks that aid in building automation scripts for interacting with network devices, parsing data, and performing tasks.

Example Scenario:

Suppose a network engineer wants to automate the backup of router configurations regularly. A Python script can be created to connect to routers, issue the appropriate commands, and save the configurations to a centralized server or cloud storage.

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3. NETCONF/YANG

NETCONF (Network Configuration Protocol) and YANG (Yet Another Next Generation) data modeling language are standards for network device configuration and management. They enable programmatic access to network devices using XML-based data models.

Example Scenario:

Consider a scenario where a network engineer needs to automate the configuration of access control lists (ACLs) on multiple routers. With NETCONF/YANG, the engineer can use standardized data models to define the ACL configurations and apply them to multiple routers consistently.

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4. SaltStack

SaltStack is an automation and configuration management tool that uses a master-minion architecture. It is known for its speed and scalability, making it ideal for large-scale network automation.

Example Scenario:

Suppose a network engineer needs to push configuration changes to a large number of switches. With SaltStack, the engineer can define a state file that describes the desired configuration and apply it to the minion devices simultaneously.

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5. Nornir

Nornir is a Python automation framework designed explicitly for network engineers. It provides flexibility and extensibility for network automation tasks.

Example Scenario:

Suppose a network engineer needs to retrieve the ARP table information from multiple routers and switches. Using Nornir, the engineer can create a script that connects to each device, executes the appropriate command, and collects the ARP data.

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Best Practices for Network Automation

Implementing network automation effectively requires adherence to several best practices to ensure a smooth transition and optimal performance. 

Here are some of the best practices for network engineers while doing network automation.

1. Start Small: Begin with simple automation tasks and gradually build complexity. Starting small allows network engineers to gain confidence and experience in automation practices.

2. Version Control: Implement version control (e.g., Git) to track changes to automation scripts and configurations. Version control ensures a history of changes, simplifies collaboration, and enables easy rollbacks if needed.

3. Testing and Validation: Adopt rigorous testing procedures to validate automation scripts before deploying them in production. Test scripts on a non-production network or utilize network simulation tools to ensure correct behavior.

4. Documentation: Thoroughly document automation workflows, scripts, and configurations. Proper documentation aids in knowledge sharing, troubleshooting, and onboarding new team members.

5. Security: Adhere to secure coding practices when developing automation scripts. Apply the principle of least privilege when granting automation access to network devices, ensuring that only authorized actions are performed.

Network Automation Example

Scenario: Automating Configuration Backups

Let's explore a practical example of automating configuration backups using Ansible:

Step 1: Inventory File:

Create an Ansible inventory file (inventory.yaml) containing the network devices you want to back up:

yaml

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Step 2: Ansible Playbook:

Create an Ansible playbook (backup_configs.yaml) to back up the configurations:

yaml

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Step 3: Running the Playbook:

Execute the playbook using the ansible-playbook command:

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The playbook connects to each device, retrieves the running configuration, and saves it to a file in the backup directory. After running the playbook, you will have a backup of each device's configuration.

Career as a Network Automation Engineer

A Network Automation Engineer designs and implements automated processes to manage network infrastructures. They collaborate with teams, troubleshoot issues, and use scripting languages like Python and tools such as Ansible.

Proficiency in network protocols and automation platforms like Cisco DevNet is essential. The role offers competitive salaries, with the average annual pay being around ₹8,00,000. This career is ideal for those who enjoy problem-solving and optimizing processes, with growing opportunities due to the expanding network automation market.

Conclusion

Network automation has become an essential skill for network engineers as networks continue to grow in complexity and scale.

By understanding the fundamentals of network automation, including its benefits, key concepts, popular tools, and best practices, network engineers can elevate their efficiency and contribute more strategically to their organizations' success.

Through practical examples and scenarios, we have seen how automation tools like Ansible, Python, NETCONF/YANG, SaltStack, and Nornir can streamline network management tasks, improve consistency, and help network engineers meet the challenges of the digital age.

Embracing network automation is not only a competitive advantage but a necessity for building and managing resilient, scalable, and future-ready networks.

To learn more about automation, check out our automation courses that teach how to automate tasks in different fields.