Automation insights
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The True Cost of Observability
Balancing uptime and observability is crucial for IT leaders. While extreme availability minimizes costly downtime, it demands significant investment. Observability tools can reduce outages but may inflate costs. Decision-makers must weigh the benefits of reliability against costs, aligning investments with business value and risk tolerance to achieve optimal outcomes.
Automation Priorities for 2026
A step-by-step guide to achieving automation success.
Network Automation with Nokia and Red Hat OpenShift
Nokia's Event Driven Automation (EDA) is a cloud-native platform that leverages data center fabric automation and AI Operations to simplify the management of network layers across physical switching, hypervisors and infrastructure management. By using an intent-based approach for network lifecycle management, EDA supports multiple vendors and integrates with solutions such as Red Hat OpenShift and Netbox Labs.
Intelligent Lifecycle
WWT's Alex Schoen and Tyler Hatton discuss the challenges and opportunities of implementing AI and Automation in enterprise IT operations. They discuss the need to unify fragmented systems and leverage AI for lifecycle management, emphasizing client demand for automated processes like asset refresh, contract renewals and risk detection. They also discuss the technical journey required to achieve intelligent lifecycle management, outlining a four step process to do this, including building a strong data foundation, implementing observability and event management, enabling policy-driven automation and developing agentic IT operations.
Why Observability Has Become the Control Plane for Enterprise AI
As enterprises rush to deploy AI, observability is emerging as the discipline that determines whether those investments create durable value—or quietly erode it. In this episode of the AI Proving Ground Podcast, WWT's Ivan Wintersteiger, Cisco Splunk's Tapan Shah and NVIDIA's Shashank Sabhlok discuss why observability, when treated as foundational, becomes the connective tissue between infrastructure, applications, security and user experience.
The Shift from AI Pilots to AI Infrastructure
As organizations move beyond experimentation, compute has become a deciding factor in whether AI delivers real value or stalls before production. In this episode of the AI Proving Ground Podcast, WWT VP Neil Anderson, NVIDIA VP Chris Marriott and Cisco VP Daniel McGinniss talk about how organizations are rethinking where AI runs, how it's secured and how value is measured.
Storage Automation with Red Hat OpenShift and NetApp
Deploying Red Hat OpenShift with NetApp Trident enables efficient storage management for stateful applications. By configuring persistent storage using local or shared options, administrators can optimize resources for AI, databases and virtual machines. This guide simplifies the setup of storage classes and volume snapshots for seamless integration and scalability.
The Network Is Becoming the Real Unit of AI Performance
As AI systems grow larger and more distributed, enterprises are discovering that performance, security and time-to-value depend less on individual components and more on how well the system moves, synchronizes and protects data at scale. In this episode of the AI Proving Ground Podcast, WWT's Justin van Schaik, Cisco's Dave Jansen and NVIDIA's Taylor Allison talk about how a well-designed network fabric extends time to value and decreases risk for AI initiatives.
Partner POV | Smart Data: The Super Fuel Driving Next-Gen Observability
In a hyperconnected world, NETSCOUT's Smart Data revolutionizes observability by transforming raw network traffic into actionable insights. Through deep packet inspection, it enhances performance monitoring, threat detection, and AI-driven analytics, fostering collaboration across teams. This innovation empowers organizations to optimize infrastructure, enhance security, and align technical insights with business goals.
Why Production AI Exposes Security Gaps Organizations Can't Ignore
As enterprises move AI from experimentation to production, security failures are no longer isolated incidents—they are systemic risks embedded deep in infrastructure, data flows, and decision-making systems. In this episode of the AI Proving Ground Podcast, WWT's Istvan Berko, Cisco's DJ Sampath and NVIDIA's Ofir Arkin discuss why as AI becomes core infrastructure, security becomes the mechanism that determines whether that infrastructure scales or undermines itself.
Why the AI Factory Is Becoming the Enterprise's Next Critical Infrastructure
As organizations struggle to move beyond AI pilots, a new architecture — Cisco's Secure AI Factory with NVIDIA — is emerging as a missing link between experimentation and real business outcomes. In this episode of the AI Proving Ground Podcast, WWT's Neil Anderson, Cisco's Kevin Wollenweber and NVIDIA's Chris Marriott discuss how the Secure AI Factory represents a shift from bolt-on protection to security built into the architecture itself.