Automation insights
392 results found
Why Data Readiness Is the New GPU Optimization Strategy
Agentic AI is changing the economics of enterprise infrastructure. In this episode of the AI Proving Ground Podcast, WWT's Jeff Fonke, NetApp's Mike Homer and NVIDIA's Jason Schroedle explain why how token economics are reshaping cloud and on-prem decisions and why AI-ready data may be the true foundation for enterprise AI success.
Automating Network Assurance with NetBox Labs and Cisco Catalyst Center
Discover how to revolutionize network assurance through automation with NetBox Labs and Cisco Catalyst Center. This lab empowers participants to transform manual processes into scalable practices, leveraging dynamic inventory and Ansible workflows for enhanced efficiency and consistency. Embrace a source-of-truth-driven approach to streamline operations and align automation with network intent.
Advanced Configuration Lab
•Intermediate
•8 launches
Partner POV | Why AI‑Ready Infrastructure Starts With Dell and AMD
AI is pushing IT modernization into high gear and infrastructure needs to keep pace.
Automating Network Inventory and Assurance with NetBox and Catalyst Center
This Learning Path shows you how to build a source-of-truth-driven automation solution with Cisco Catalyst Center, NetBox, and Ansible. You'll sync live inventory into NetBox using Orb Agent and Diode, drive Ansible playbooks off a NetBox dynamic inventory, and close the loop by writing live device health scores back into NetBox.
Navigating the Mythos Reality: 3 Questions Every Exec Must Answer About Frontier AI
Frontier AI is moving faster than traditional cyber defenses while access to models such as Mythos and Fable can change without warning. In this episode of the AI Proving Ground Podcast, WWT's Chief National Security and Critical Infrastructure Advisor Madison Horn and Field CTO Robert Geis explain why security leaders must look beyond any single model and answer three urgent questions: How do we defend at machine speed? Which tools can we trust? And who is accountable when a critical dependency changes or disappears?
Infrastructure Automation Source of Truth - Text Files
Learn how to effectively use a files-based source of truth in your automation. This learning path is designed to guide the user through different methods of managing and consuming text files as a source of automation data.
Linux Basics for Automation Engineers
The everyday life of an automation engineer will invariably require a fundamental understanding of Linux. This lab is focused on exposing aspiring automation engineers to the foundational concepts of the Linux operating system.
ATC+
Ansible Automation Workshop - Pure Ansible Lab
Learn to automate Pure FlashArray on Purity using Ansible. This lab provides an overview of Ansible and dives into how it works together to simplify automation for Pure Storage solutions.
Advanced Configuration Lab
•Intermediate
•86 launches
Partner POV | Grafana Assistant integration for Database Observability
Grafana Cloud's Database Observability, enhanced by AI, transforms query analysis with real-time insights and tailored solutions. The Grafana Assistant identifies performance bottlenecks, suggests specific SQL improvements, and tracks query degradation, all while integrating seamlessly with your existing data sources. Empower your team with actionable, data-driven diagnostics.
Partner POV | Why AI observability is a critical ITOps priority
AI workload observability helps ITOps teams monitor AI services, reduce blind spots, and move toward Autonomous IT.
The Data Flywheel: How Kiewit Built a Foundation That Makes AI Actually Work
Kiewit's Chief Data and Analytics Officer, Matt Pappas, has spent 15 years building machine learning into one of the world's largest construction companies — long before "AI-ready" was a buzzword. In this episode of teh AI Proving Ground Podcast, he shares what he's learned about data culture, decision science, and the discipline most enterprises are skipping when it comes to driving AI strategy at scale.
ATC+
Data-driven Automation with Netbox
In this hands-on lab, learners will explore how to build and configure a data-driven automation workflow using Ansible Automation Platform and NetBox. The lab guides users through practical exercises that demonstrate how real-time source of truth changes can trigger automated configuration. Participants will configure NetBox event rules and webhooks to emit actionable events, set up Event-Driven Ansible event streams to receive and process those events, and create rulebook activations that respond intelligently. By the end of the lab, learners will have a working solution that tightly integrates their source of truth with automation workflows—enabling scalable, responsive infrastructure management.
Advanced Configuration Lab
•Advanced
•116 launches