Workshop2 hours

Observability using NetApp Data Infrastructure Insights (DII)

NetApp Data Infrastructure Insights delivers business value by transforming infrastructure operations from reactive firefighting into proactive, intelligence-driven management. By providing a single unified view across on-premises storage, virtualization, Kubernetes, SAN fabrics, and cloud environments, DII eliminates the fragmented, multi-tool monitoring that slows incident response and obscures root cause. Its AI/ML engine automatically baselines behavior, detects anomalies, correlates configuration changes to performance events, and maps workload relationships from application down to array reducing mean time to root cause identification by up-to 50%. On the capacity side, days-to-full forecasting and waste identification help organizations defer unnecessary hardware purchases and achieve 33% higher storage utilization from existing assets. For business leaders, this translates directly into fewer unplanned outages, lower operational costs, more predictable infrastructure spend, and Infrastructure teams that spend less time in war rooms and more time on strategic work.

Goals & Objectives

TimeModuleTopicDuration
0:00Module 1Setting the Stage — The Observability Problem15 min
0:15Module 2What is DII? — Platform Architecture & Editions15 min
0:30Module 3Full-Stack Observability — Single Pane of Glass25 min
0:55BREAK10 min
1:05Module 4Performance Troubleshooting25 min
1:30Module 5Business Value & WWT Positioning15 min
1:45Module 6Next Steps, Demo Options & Open Q&A15 min

Summary of the Six Modules

Module 1 – The Observability Problem
Introduces the growing complexity of modern IT environments and highlights the limitations of fragmented monitoring tools. It focuses on uncovering customer pain points such as slow incident resolution, siloed teams, and lack of end‑to‑end visibility, positioning observability as a business-critical capability rather than just an operational tool.

Module 2 – What is DII?
Defines NetApp Data Infrastructure Insights (DII) as a SaaS-based observability platform that unifies monitoring, performance analysis, and capacity planning across hybrid environments. It explains the architecture data collectors, cloud analytics, and unified dashboards and emphasizes benefits like multi‑vendor support, scalability, and simplified operations through AI/ML-driven insights.

Module 3 – Full-Stack Observability
Demonstrates how DII delivers end-to-end visibility from applications down to storage infrastructure. It highlights key capabilities such as topology mapping, ONTAP Essentials for rapid time-to-value, Kubernetes observability, and SAN visibility, enabling customers to quickly understand dependencies and performance relationships across the entire stack. 

Module 4 – Performance Troubleshooting
Explains how DII leverages AI/ML to accelerate problem resolution by automatically detecting anomalies, correlating workloads, and identifying root causes. Features such as intelligent baselining, change analysis, and workload correlation reduce reliance on manual troubleshooting and significantly shorten mean time to resolution (MTTR).

Module 5 – Business Value & WWT Positioning
Translates technical capabilities into measurable business outcomes, including faster root cause identification, improved storage utilization, and proactive capacity planning. It also emphasizes WWT's value through deployment services, integration expertise, and ATC lab capabilities, positioning WWT as a strategic partner for accelerating time to value.

Module 6 – Next Steps & Engagement Options
Provides clear pathways for customer engagement, including guided demos, ATC lab experiences, free trials, and proof-of-concept deployments. It ensures each session concludes with defined next steps, helping customers move from initial awareness to hands-on evaluation and eventual adoption.

Technologies