February 2026 – Month of Sensible Connections

Embracing connectivity, automation, and innovation throughout distributors.

February is the month of affection and friendship. At Cisco DevNet, we used that spirit as inspiration to have a good time one thing we care deeply about: constructing significant connections throughout the networking ecosystem. The Month of Sensible Connections marketing campaign explored how automation and programmability can deliver totally different distributors collectively via open requirements, shared tooling, and sensible workflows.

Throughout 4 movies, every paired with its personal code repository, we showcased vendor-agnostic approaches to community automation. From scripting fundamentals to agentic AI workflows, the Month of Sensible Connections delivered sensible concepts that will help you begin or strengthen your multi-vendor automation journey.

Episode 1: Loving All Distributors

Good relationships begin when everybody agrees on learn how to speak to one another.

On this episode, we launched learn how to use Cisco Crosswork Community Providers Orchestrator (NSO) to tug and commit configurations throughout multi-vendor environments. One RESTCONF API, zero vendor drama. We additionally demonstrated two light-weight GitHub Copilot brokers designed that will help you uncover the right configuration URIs primarily based on the Community Aspect Driver (NED) of your chosen platform.

Automation works greatest when instruments communicate a typical language. Typically the strongest connections come from studying learn how to collaborate past acquainted boundaries.

Episode 2: Select Your Love Language

There are various methods to specific your affection for automation.

On this episode, we explored three approaches: Python scripting, Ansible playbooks, and CI/CD pipelines. Whereas every workflow has its personal type, they share the identical basis: OpenConfig as a vendor-agnostic information mannequin and gNMI because the protocol that enhances it greatest.

Regardless of which toolchain you like, open requirements enable consistency throughout environments and groups. The message is easy: your workflow could be private, however your basis needs to be common.

Episode 3: Belief Points

Automation solely works in the event you belief what it does.

On this episode, we explored the open-source Robotic Framework and expanded it right into a vendor-agnostic testing framework tailor-made for networking. By creating customized Python key phrases and leveraging the OpenConfig and gNMI mixture as soon as once more, we demonstrated how automated validation can turn out to be a pure a part of community operations.

Testing transforms automation from experimentation into reliability. Belief is just not assumed in automation. It’s constantly verified.

Episode 4: Intentions Matter

The most effective connections flip conversations into outcomes.

Within the remaining episode, we constructed an AI agent to allow ChatOps for on a regular basis multi-vendor networking duties. Utilizing the open-source platform LibreChat and a rigorously designed agent persona, we built-in a number of Mannequin Context Protocol (MCP) servers orchestrated via a single Docker Compose deployment: the pyATS neighborhood MCP server alongside official integrations for NetBox, GitHub, and Draw.io.

Via a single chat interface, we synchronized inventories utilizing NetBox and the netbox-secrets plugin for credentials, executed machine audits, generated experiences dedicated to GitHub, opened points mechanically, validated and deployed configurations with built-in safeguards, and rendered community diagrams on demand.

The Month of Sensible Connections was finally about displaying that trendy community automation is just not outlined by distributors, however by interoperability, openness, and shared practices. By combining open requirements, automation frameworks, testing methodologies, and AI-driven workflows, this sequence demonstrated how groups can construct networks that collaborate as successfully because the individuals who function them. Sturdy automation methods, like robust relationships, are constructed over time via consistency, belief, and significant connections.