Next-Level Observability.
Built for the AI Era.
Three core concepts that explain why Cloud Control, Observability Cloud, and Galileo are the foundation customers need to operate at AI scale — with cross-domain insight, predictable data economics, and trusted oversight of every LLM and agent in production.
Why a single-domain view creates dangerous blind spots — and what unified correlation actually unlocks.
02Code sprawl lands on hardware. See AI workload impact on Cisco AI PODs — GPU, memory, and tokens — natively, before silent failures cascade.
03The economics of organizing data once, in the Cisco Data Fabric, so AI doesn’t pay to rediscover it on every query.
04When AI builds the enterprise, who watches the AI? Why Cisco acquired Galileo, and why this is now non-negotiable.
Single-Domain Views Create Dangerous Blind Spots.
Modern incidents span security, network, infrastructure, application, and user behavior simultaneously. Looking at one domain at a time produces a confident-but-wrong answer. Correlated views surface the actual root cause.
Symptom: Users report slow checkout. 4 monitoring tools are firing. None of them agree on what’s wrong.
Cloud Control · AgenticOps in Action
Sam Ali starts her day with one login. One inventory and topology. One view for alerts. One AI Assistant. And AI Canvas embedded inside Cloud Control — the multiplayer workspace where human operators and AI agents investigate and remediate cross-domain incidents together, grounded in platform data and policy.
App Modernization Becomes Code Sprawl — And It Lands on Your AI PODs.
AI agents ship apps, configs, and pipelines at machine speed. The sprawl doesn’t stay in the codebase — it lands on GPUs, CPU, memory, and tokens inside the AI Factory. Observability Cloud is native to Cisco AI PODs: see the impact of AI workloads at the hardware layer, before silent failures cascade through the stack.
Observability Cloud · Native to Cisco AI PODs
Splunk AI Infrastructure Monitoring built into the AI Factory. The Splunk Distribution of OpenTelemetry Collector pulls metrics and metadata from NVIDIA GPUs, NVIDIA NIM, Cisco UCS, Cisco Nexus, and certified storage — surfaced through purpose-built dashboards. App, agent, and silicon in one pane — with the Cisco Data Fabric and Time Series Foundation Model exposing AI-ready intelligence at any scale.
If You Hand AI Raw Data, You Pay for It on Every Query.
Today's default AI architecture — point the model at every API and MCP server — forces the model to rediscover, gather, and correlate data on every single call. Costs scale with environment size. A tiered data strategy in the Cisco Data Fabric shifts that work upstream, once.
Direct API / MCP Access Status quo
Cisco Data Fabric (Tiered) Proposed
Onstak · Our Ecosystem Partner for Intelligent Correlation
Onstak has built a production-ready Intelligent Correlation solution on top of the Cisco Data Fabric and the architecture in this brief — pulling sources, correlation, and audit trail out of the AI “black box.” If you want help applying these concepts in your environment, their team can scope, deploy, and operate it alongside you.
When Agents Build the Enterprise, Observability Becomes Non-Negotiable.
LLMs and autonomous agents introduce failure modes traditional monitoring cannot see — hallucinations, drift, runaway token spend, wrong-but-confident actions that return a 200 OK. Cisco acquired Galileo in April 2026 specifically to close this gap.
Galileo · Agentic Ops Platform
End-to-end agent tracing, graph views of decision flows and tool calls, specialized metrics (Action Completion, Tool Selection Quality, Reasoning Coherence, Agent Flow), and runtime Protect guardrails that catch harmful or off-policy outputs before they reach users.
Four Concepts. One Cisco Architecture.
Cross-domain visibility, observability modernization, organized data economics, and agentic trust aren’t four separate products — they’re four layers of the same architecture. Here’s how the demos you’re about to see fit together.
Four Demos. One Conversation.
Cross-launch into any of the four demo environments to see the concepts in action.
Concept 01 · Cross-Domain Insights
Cloud Control
AgenticOps in action: one login, one topology, one alert view, and AI Canvas (embedded in Cloud Control) where operators and agents resolve cross-domain incidents together.
Launch Cloud Control DemoConcept 02 · Modernization on AI PODs
Observability Cloud
Native to Cisco AI PODs. Splunk AI Infrastructure Monitoring exposes GPU, CPU, memory, and tokenization cost as agents ship code at machine speed — from app, to agent, to silicon.
Launch Observability Cloud DemoConcept 03 · Tokenomics
Onstak · Intelligent Correlation
Our ecosystem partner Onstak has built an Intelligent Correlation solution on top of this Cisco architecture — AI query volume drops, quality rises, and every answer comes with an audit trail. Connect with their team to scope your deployment.
Connect with OnstakConcept 04 · Agentic Ops
Galileo
Agent traces, evaluation metrics, and runtime Protect guardrails that stop hallucinations, off-policy actions, and silent failures before they reach customers.
Launch Galileo DemoWhat This Architecture Is Worth to You.
Three architectural levers. One annual token line item. Toggle the ones you’re evaluating, drop in your planned spend, and see exactly where the dollars and the operating wins land.
Intelligent Correlation — See It Live
The demonstration for this concept is staged on the show floor. Stop by the booth to walk through the correlation fabric live with a solutions engineer.