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Home»Healthcare»February 2026 – Month of Good Connections
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February 2026 – Month of Good Connections

Shape PerfeitoBy Shape PerfeitoMarch 9, 2026No Comments3 Mins Read
February 2026 – Month of Good Connections
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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 fun one thing we care deeply about: constructing significant connections throughout the networking ecosystem. The Month of Good Connections marketing campaign explored how automation and programmability can deliver completely different distributors collectively by means of 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 Good Connections delivered sensible concepts that can assist you begin or strengthen your multi-vendor automation journey.

 


Episode 1: Loving All Distributors

Good relationships begin when everybody agrees on the way to speak to one another.

On this episode, we launched the way to use Cisco Crosswork Community Companies Orchestrator (NSO) to drag and commit configurations throughout multi-vendor environments. One RESTCONF API, zero vendor drama. We additionally demonstrated two light-weight GitHub Copilot brokers designed that can assist you uncover the proper configuration URIs primarily based on the Community Ingredient Driver (NED) of your chosen platform.

Automation works finest when instruments converse a typical language. Typically the strongest connections come from studying the way to collaborate past acquainted boundaries.


Episode 2: Select Your Love Language

There are a lot of methods to precise 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 model, they share the identical basis: OpenConfig as a vendor-agnostic knowledge mannequin and gNMI because the protocol that enhances it finest.

Irrespective of which toolchain you favor, open requirements enable consistency throughout environments and groups. The message is easy: your workflow could be private, however your basis ought 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 into a pure a part of community operations.

Testing transforms automation from experimentation into reliability. Belief isn’t assumed in automation. It’s repeatedly verified.


Episode 4: Intentions Matter

The most effective connections flip conversations into outcomes.

Within the last 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 by means of a single Docker Compose deployment: the pyATS group MCP server alongside official integrations for NetBox, GitHub, and Draw.io.

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


The Month of Good Connections was finally about exhibiting that fashionable community automation isn’t outlined by distributors, however by interoperability, openness, and shared practices. By combining open requirements, automation frameworks, testing methodologies, and AI-driven workflows, this collection demonstrated how groups can construct networks that collaborate as successfully because the individuals who function them. Sturdy automation methods, like sturdy relationships, are constructed over time by means of consistency, belief, and significant connections.



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