Ansible for network automation: Where it works, where it breaks, and what comes next

Introduction

Ansible became a popular starting point for network automation because it simplified repetitive tasks and reduced manual configuration work across enterprise networks. Its agentless design and easy YAML-based approach made automation more accessible for infrastructure teams. However, modern hybrid environments are far more complex, with SD WAN, cloud infrastructure, and multi-vendor networks creating new operational challenges. Enterprises now need real-time visibility, drift detection, and closed-loop automation. This article explores where Ansible network automation works well, where it struggles, and how Tata Communications ThreadSpan™ extends automation with AI-driven operational intelligence. 

What is Ansible for network automation?

Ansible for network automation is an agentless, playbook‑based approach that automates configuration tasks across network devices using declarative YAML instructions executed over SSH or APIs.

Unlike traditional management systems that require software agents on every device, Ansible uses an agentless architecture. It typically connects to systems using SSH or APIs and executes instructions defined inside YAML-based playbooks.

For servers, Ansible can install applications, update packages, configure operating systems, and manage cloud infrastructure. For networking teams, Ansible network automation focuses on automating routers, switches, firewalls, WAN devices, and security infrastructure.

Ansible supports many major networking vendors through dedicated network modules, including:

• Cisco IOS

• Juniper Networks

• Arista

• Palo Alto Networks

• Fortinet

• F5
  
  

What Ansible does well in network automation

Despite growing competition from newer platforms, Ansible still delivers significant value in many operational environments.

1. Bulk configuration changes

One of the biggest strengths of Ansible network automation is the ability to push configuration updates across large device fleets simultaneously. Instead of logging into hundreds of devices manually, engineers can apply changes centrally using a single Ansible playbook for network automation. This dramatically reduces operational effort and human error.

2. Configuration templating

Ansible works well with Jinja2 templates, allowing teams to standardise configurations while dynamically adjusting variables between locations or device types. This is particularly useful for:

• Interface configurations

• VLAN provisioning

• Routing policies

• ACL deployment

• QoS templates

3. Compliance and auditing

Many enterprises use Ansible for configuration validation and compliance checks. Engineers can compare device configurations against approved templates and identify policy violations quickly. This supports stronger governance and operational consistency.

4. Integration with NetDevOps pipelines

Ansible integrates effectively with Git based workflows and CI CD pipelines. This allows infrastructure teams to adopt NetDevOps practices similar to software development environments. Changes can be:

• Version controlled

• Peer reviewed

• Tested automatically

• Rolled back when necessary

This makes Ansible one of the more accessible network devops tools available today.

5. Day-to-day operational tasks

Using Ansible for network automation is especially effective for repetitive operational activities such as

• Backing up configurations

• Updating interfaces

• Deploying ACLs

• Managing VLANs

• Standardising policies

For many organisations, this alone delivers major operational improvements.

Where Ansible falls short for enterprise network teams

Although Ansible is useful, it also has important limitations that become increasingly visible in large enterprise environments.

1. No real-time state awareness:

Ansible operates mainly as a push-based automation tool. It sends instructions to devices but does not continuously monitor the operational state. This means it cannot naturally detect:

• Network drift

• Performance degradation

• Routing instability

• Path failures

• Policy inconsistencies

2. No closed-loop automation:

One of the biggest limitations is the absence of closed-loop network automation. Ansible can push a configuration, but it cannot automatically:

• Observe outcomes

• Validate network state

• Detect failures

• Roll back changes dynamically

• Correct drift automatically

Modern enterprises increasingly require automation systems that follow a continuous cycle of
Observe → Decide → Act → Verify
Traditional Ansible workflows stop after the “Act” stage.

3. Multi-vendor complexity:

While Ansible supports multiple vendors, module consistency varies significantly. Different vendors expose different APIs, command structures, and operational behaviours. As a result, engineers often spend large amounts of time maintaining separate logic for:

• Cisco devices

• Juniper platforms

• Palo Alto firewalls

• SD WAN infrastructure

This complexity increases rapidly as environments scale.

4. High maintenance overhead:

Many organisations underestimate the long-term operational overhead of maintaining network automation scripts. As networks evolve, playbooks require constant updates, testing, debugging, and optimisation. Without strong internal expertise, automation projects can become difficult to sustain.

5. No native intent-based abstraction:

Ansible focuses on imperative automation. This means engineers must define exactly how changes should be implemented. Intent-based networking platforms work differently. Instead of writing low-level instructions, engineers declare the desired business outcome. The platform then determines how to achieve and maintain that state automatically. This is one reason why many enterprises are gradually moving beyond purely script-based automation models.

6. Troubleshooting can be difficult:

When playbooks fail in large production environments, identifying the root cause can become extremely time-consuming. Failures may result from:

• API inconsistencies

• Device compatibility issues

• Variable conflicts

• Authentication problems

• Dependency errors

As automation environments grow, troubleshooting complexity increases significantly.

When Ansible is no longer enough

Enterprises typically outgrow Ansible‑only automation when post‑change incidents increase, configuration drift becomes difficult to detect, and teams lack real‑time visibility into whether automation achieved the intended outcome. At this stage, automation must extend beyond execution to continuous validation and remediation.

Ansible vs other network automation approaches

Different automation approaches solve different operational problems.

Building network automation with Ansible: A practical guide

Most organisations begin their automation journey with relatively simple use cases.

Setting up an inventory

The inventory file stores device information such as:

• Hostnames

• IP addresses

• Device groups

• Authentication variables

This allows teams to target devices systematically.

Writing a basic playbook

A common first project involves backing up network configurations automatically.

The playbook connects to devices, retrieves running configurations, and stores them centrally for auditing and recovery.

Using network facts

Ansible can collect operational facts from devices, including:

• Interface states

• Routing information

• Device versions

• Hardware details

These facts support auditing and compliance workflows.

Managing multi-vendor environments

Roles help teams organise vendor-specific logic more efficiently.

For example:

• Cisco tasks can use one role

• Juniper workflows another

• Firewall operations another

This improves reusability and scalability.

Integrating with Git

Git integration allows teams to:

• Track configuration changes

• Roll back updates

• Collaborate more effectively

• Maintain operational history

Version-controlled infrastructure is now considered a core requirement for modern network orchestration workflows.

What comes next: AI-driven network automation

The industry is now moving beyond simple scripted automation.

Modern enterprises increasingly require AI‑driven network automation platforms that correlate telemetry, topology, and configuration changes to respond dynamically and safely at scale.

This is where the shift towards closed-loop automation becomes important.

Instead of only pushing configurations, intelligent platforms continuously:

• Observe network behaviour

• Analyse telemetry

• Detect anomalies

• Apply remediation

• Validate outcomes automatically

This creates a far more adaptive operational model.

Tata Communications ThreadSpan™ extends beyond traditional Ansible network automation by combining:

• Real-time observability

• AI-driven analytics

• Configuration intelligence

• Drift detection

• Automated operational workflows

within a unified platform.

For many organisations, Ansible still remains useful for tactical automation tasks.

However, as operational complexity increases, enterprises often require broader platforms capable of supporting full lifecycle automation and operational intelligence.

ThreadSpan™ and Ansible: Complementary or replacement?

For most enterprises, the answer is not immediately one or the other.

ThreadSpan™ can work alongside existing Ansible workflows while solving many of the operational gaps Ansible cannot address directly.

For example, ThreadSpan™ provides:

• Real-time operational visibility

• Drift detection

• AI-based anomaly analysis

• Intent-driven orchestration

• Closed-loop operational workflows

This allows organisations to continue using existing Ansible playbooks while gradually adopting more intelligent automation capabilities.

The difference largely comes down to operational philosophy.

Ansible follows an imperative approach: 'Execute these exact commands.'

ThreadSpan™ follows an intent‑based operational model: ‘Maintain this desired operational state,’ with continuous validation, drift detection, and governed remediation across the network lifecycle.

As enterprise networks continue growing in complexity, intent-based automation becomes increasingly valuable.

Conclusion

Ansible remains one of the most accessible entry points into enterprisecon. It simplifies repetitive operational work, improves consistency, and supports large-scale configuration management across distributed infrastructure.

But enterprise networking has evolved significantly.

Modern environments now require real-time visibility, policy awareness, drift detection, intelligent remediation, and continuous operational validation. These are areas where traditional playbook-based automation often reaches its limits.

This is why many organisations are now complementing existing automation investments with AI-powered network operations platforms.

By unifying real‑time observability, configuration intelligence, AI‑driven analytics, and intent‑based orchestration, Tata Communications ThreadSpan™ enables enterprises to move beyond script execution toward continuously validated, closed‑loop network operations.

Discover how Tata Communications ThreadSpan™ helps enterprises move beyond traditional playbooks with AI-driven network automation, real-time observability, and intent-based operational control. Get Started