Nautobot ChatOps

The fastest, most collaborative way to Access Network Data and Drive Automation

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Step Up to Enterprise-grade Automation: All Applications are Developed, Maintained and Supported by Network to Code

Availability Open Source

Initial Release 2021-02-24

Latest Release 2025-11-25

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Overview

Nautobot ChatOps enables network engineers and operations teams to interact with automation workflows directly from chat platforms such as Slack, Microsoft Teams, Webex, and Mattermost. Instead of switching between tools or submitting tickets for simple requests, teams can retrieve infrastructure data, run operational commands, and trigger automation directly from conversation-based workflows. Built on Nautobot’s network source of truth, ChatOps provides fast, authoritative access to network insights, enabling seamless collaboration and extensibility across your broader infrastructure ecosystem.

Challenge

Modern network operations depend on an ever-growing stack of tools: monitoring platforms, configuration systems, automation frameworks, and infrastructure inventories. While each of these systems are powerful, the need to constantly switch between dashboards, run manual scripts, or submit tickets for simple lookups creates operational drag and slows down your team.

This creates several common operational challenges:

Fragmented Access to Network Data

Engineers must log into multiple systems to retrieve simple operational information such as device inventory, rack utilization, or circuit assignments.

Slow Resolution of Routine Requests

Many network teams receive a constant stream of small operational requests such as:

  • “Which devices are in this rack?”
  • “What circuits terminate at this site?”
  • “What interface connects to this switch?”

Even when the answers exist in systems like Nautobot, retrieving them often requires specialized access or manual investigation.

Context Switching Slows Collaboration

Operational troubleshooting frequently happens in chat platforms where teams collaborate. However, the actual tools used to gather data are disconnected from the conversation.

Engineers must leave the chat platform, retrieve information elsewhere, and paste results back into the discussion.

Automation That Is Difficult to Access

Many organizations invest in automation frameworks but struggle to make those capabilities accessible to the broader operations team.

Automation often remains limited to engineers comfortable with scripts or APIs.

Bottom line:
Stop the context switching! Your network teams is wasting valuable time switching tools, chasing information, and performing manual lookups that should be automated and delivered directly in the flow of collaboration.

Solution

Deliver Conversational Network Insights & Automation with Nautobot ChatOps

Nautobot ChatOps provides a conversational interface for network operations, allowing engineers to interact with infrastructure data and automation workflows directly from chat platforms.

Using predefined or custom chat commands, users can retrieve data from Nautobot, trigger automation tasks, and integrate with external infrastructure systems without leaving the conversation.

The result is faster access to operational insights and easier collaboration between teams.

Get Seamless Multi-Platform Chat Integration

ChatOps integrates with the most common enterprise collaboration platforms:

  • Slack
  • Microsoft Teams
  • Webex
  • Mattermost

A command written for ChatOps works consistently across these platforms, enabling teams to adopt the same operational workflows regardless of which collaboration tool they use.

Access Authoritative Data with Chat-Driven Access to the Nautobot Source of Truth

Because ChatOps integrates directly with Nautobot, teams can retrieve authoritative network data from the system of record.

Common examples include:

  • Checking device inventory
  • Viewing rack capacity and layout
  • Identifying interface connections
  • Listing circuits associated with a site
  • Querying infrastructure attributes stored in Nautobot

Instead of navigating the Nautobot UI or querying the API directly, engineers simply request the information in chat.

Trigger Operational Workflows Through Natural Language Chat Commands

ChatOps uses predefined commands that trigger automation workflows or data retrieval.

For example, a user might request rack details by entering a command such as:

/nautobot get-rack ATL01

The chatbot gathers the required information from Nautobot and returns the response directly into the conversation.

Interactive controls such as buttons or prompts can also guide users through workflows by collecting the required inputs.

Extensible Command Framework

The Nautobot ChatOps app is designed as a framework that can be extended to support additional commands, platforms, and integrations.

Developers can create new chat commands that:

  • Query additional Nautobot data
  • Trigger automation jobs
  • Interact with external infrastructure systems
  • Integrate with internal tooling

This allows organizations to expose automation capabilities safely and consistently through conversational interfaces.

Integration with the Network Automation Ecosystem

ChatOps can integrate with other infrastructure and automation platforms, allowing teams to retrieve operational data or trigger workflows across systems.

Existing integrations include platforms such as:

  • Arista CloudVision
  • Cisco Meraki
  • Cisco ACI
  • IP Fabric
  • Grafana
  • Ansible AWX

Additional integrations can be developed using the ChatOps framework.

The Outcome

Faster, Smarter Network Operations Through Conversational Automation

Once ChatOps is deployed, network operations shift from manual lookups and tool switching to real-time interaction with automation workflows.

Engineers can retrieve infrastructure insights, trigger actions, and collaborate around operational data directly within chat.

Operational Improvements

  • Faster access to network data
  • Significantly reduced operational ticket volume for simple requests
  • Less context switching between tools
  • Improved collaboration during troubleshooting
  • Easier adoption of automation across teams
  • Transparent history of commands and responses in chat

ChatOps helps transform network automation from isolated scripts into collaborative operational workflows.

Bring Network Automation Into Your Team’s Workflow

Nautobot ChatOps makes network automation accessible where teams already collaborate. Retrieve infrastructure data, run automation commands, and integrate operational systems directly from chat.

Request a Demo

Frequently Asked Questions

Nautobot ChatOps is a chatbot framework that allows network engineers to interact with Nautobot and other infrastructure systems directly from chat platforms such as Slack, Microsoft Teams, Webex, and Mattermost.

ChatOps reduces the time required to retrieve operational data and execute automation workflows by bringing those capabilities directly into the chat platforms where teams already collaborate.

Yes. ChatOps is designed to work with Nautobot as the network source of truth. It retrieves infrastructure data and can trigger automation workflows based on information stored in Nautobot.

Nautobot ChatOps currently supports:

  • Slack
  • Microsoft Teams
  • Webex
  • Mattermost
The framework is designed to support additional platforms as needed.

Yes. ChatOps is highly extensible and allows developers to create custom chat commands that interact with Nautobot or other infrastructure systems.

ChatOps commands can trigger automation workflows such as:

  • Running automation jobs
  • Querying infrastructure data
  • Retrieving monitoring information
  • Initiating operational tasks
These workflows can integrate with tools like Ansible, IP Fabric, or other APIs.

No. ChatOps makes infrastructure insights accessible to a broader audience including operations teams, NOCs, platform engineers, and internal stakeholders who need network data.

Yes. Commands and responses occur directly within chat conversations, creating a transparent history of operational actions and information retrieval.

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