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39 results found
Building the Self-Driving Data Center: How Apstra's Contextual Graph and AI Are Transforming Operations
As AI workloads, GPU clusters and multi-site fabrics increase data center complexity, traditional monitoring and troubleshooting methods are becoming increasingly difficult to scale. Juniper Apstra addresses this challenge through intent-based networking and its Contextual Graph, which captures relationships between physical and logical network elements and continuously validates that the deployed environment aligns with the intended design.
The $2.3 Trillion Question: Why 84% of Digital Transformations Still Fail
Discover why most digital transformations struggle and learn practical strategies for success! This post explores how shifting from technology-first to business-first thinking can dramatically improve outcomes. Get actionable tips for aligning technology with real business needs and creating meaningful change that actually works.
The Connected Enterprise - Part 1: Beyond the Dashboard
How HPE, Juniper, Mist, Apstra, Marvis, Flow and GreenLake are redefining infrastructure operations from client to cloud.
What Enterprise Leaders Need to Know Before Choosing a Neocloud Provider
Neocloud Providers promise cost-effective AI compute, but enterprises face hidden risks beyond pricing. This article explores the pitfalls of immature platforms and offers a framework for evaluating enterprise readiness across nine domains. Make informed decisions to avoid costly setbacks and ensure robust AI infrastructure.
Announcing Cisco Nexus Dashboard 4.2: The Secure, Unified Foundation for the AI Era
Cisco Nexus Dashboard 4.2 revolutionizes data center management with advanced AI observability, eBPF-powered security, native Splunk integration and many other new enhancements. This release empowers seamless, resilient and intelligent operations, ensuring real-time insights and zero downtime. Embrace the future of hybrid cloud networks with unparalleled control and efficiency.
Cisco Live 2026: What the WWT Networking Team Learned in Las Vegas
Each year, Cisco Live brings together tens of thousands of networking professionals for a week of announcements, deep-dive sessions, and the kind of candid conversations that only happen in person. This year in Las Vegas, WWT sent a team of networking subject matter experts covering wireless, switching, SD-WAN, core routing, optical networking, and data center networking. What they brought back was a consistent signal: AI is no longer a strategy conversation, it is an infrastructure conversation, and the network is squarely at the center of it.
The Connected Enterprise - Part 2: One Operational Story
How Mist, Apstra, Marvis, Flow and GreenLake Begin Connecting the Enterprise from Client to Cloud. Part 2 of 4
The Connected Enterprise - Part 3: Every Workload Has a Story
How Mist, Apstra, Marvis, Flow and GreenLake Begin Connecting the Enterprise from Client to Cloud. Part 3 of 4.
Day-2 Operations: The Critical Data Center Network Component
While Day 0 planning and Day 1 deployment capture initial attention, Day 2 operations—ongoing monitoring, automation, compliance and optimization—account for up to 70 percent of total data center network costs. Without a proactive strategy, enterprises face rising expenses, outages and security risks. To reduce TCO and improve resilience, organizations are adopting AI-driven and automated platforms like Arista CloudVision and Cisco Nexus Dashboard to streamline Day 2 tasks. Investing in visibility, operational simplicity and intelligent automation is now essential for long-term success.
Segmentation in the Data Center With Arista CloudVision
This post reviews the steps needed to define and configure data center segmentation policies using Arista's CloudVision platform alongside the results of these actions in a lab topology.
Cisco, NVIDIA and WWT bring Cloud Scale AI Factory to Market
The Cisco N9100 – An NVIDIA Cloud Partner (NCP) Game Changer
AI Infrastructure Is Changing—and the Network Is Now Part of the Performance Engine
AI infrastructure is shifting from disconnected components to integrated systems where compute, storage, software, and networking are optimized together for scalable performance. As AI moves into production, the data center network becomes a critical driver of efficiency, directly impacting GPU utilization, latency, and overall workload performance. Modern AI environments demand high east-west traffic handling, strong observability, resiliency and automation. For enterprises, networking is no longer just connectivity—it is foundational to delivering predictable AI outcomes, improving operational simplicity and maximizing the value of AI investments.