AI Workload Observability

Observe your AI.
From model to
metal.

Monitor, manage, and optimize AI workloads — from private LLMs and GPU
clusters to infrastructure and automated orchestration — ensuring
performance, reliability, and scalability across complex environments.
UnityOne AI — AI Workload Dashboard Mock
Integrates with your MLOps, LLMOps, and AI infrastructure stack
NVIDIA PyTorch TensorFlow Hugging Face LangChainvLLMTritonRay KubernetesKubeflow MLflowPineconeWeaviate OpenTelemetry PrometheusAWS Azure Google Cloud Oracle Cloud
… and more via open APIs and MLOps / LLMOps connectors.

Real-time insight for
LLMs, GPUs, and AI infra

AI-driven observability across models, accelerators, and infrastructure changes the
numbers that decide whether AI in production is reliable, fast, affordable, and safe.
Reliability
0 %
Faster issue resolution
Correlating metrics, logs, and events across every provider reveals hidden dependencies single-cloud tools miss — so root cause surfaces faster.
Cost & Risk
0 %
Optimized cost and risk
Automating incident response, compliance, and scaling across every cloud brings consistency and true autonomous operations at scale.
Business Agility
0 x
Faster decisions
Centralized monitoring enforces uniform policies, detects threats, and automates compliance across all clouds — reducing risk and simplifying audits.
Experience
0 x
Faster deployment
Removing operational barriers lets teams deploy, test, and scale new services anywhere — speeding innovation and time to market.
Figures are representative of typical improvements; actual results vary by environment and baseline.
Comprehensive multicloud coverage

Every cloud, every service, one
platform

From per-cloud monitoring to Kubernetes, serverless, discovery, lifecycle, and carbon — UnityOne AI observes and manages it all on one connected source of truth. Hover any capability to see what it does.
AWS Monitoring
Track every AWS resource, proactively
Proactively monitor AWS for efficiency, security, and uptime — down to the individual service.
Watches
EC2 & EKSLambdaRDS & AuroraS3 & EBSCloudWatchCost & usage

Benefits

Azure Monitoring
Comprehensive Azure
visibility
Comprehensive monitoring for Azure efficiency, unified with the rest of your estate.
Watches
VMs & AKSFunctionsSQL DatabaseBlob StorageAzure MonitorCost management

Benefits

GCP Monitoring
Full Google Cloud
coverage
Monitor Google Cloud services for performance, availability, and security in one place.
Watches
Compute EngineGKECloud RunBigQueryCloud StorageCloud Ops

Benefits

OCI Monitoring
Optimize Oracle Cloud workloads
Optimize Oracle Cloud workloads with automated monitoring and alerts — full parity with the other clouds.
Watches
OCI ComputeOKEAutonomous DBObject StorageOCI MonitoringAlarms

Benefits

Unified Multicloud Discovery
One live inventory, every
cloud
Real-time visibility into every deployed resource across all onboarded clouds — no blind spots.
Watches
Auto-discoveryReal-time inventoryResource mappingTag normalizationDependency graphOnboarded-cloud view

Benefits

Hybrid Cloud Lifecycle Management
Provision and scale, automatically
Automatically provision and scale your complete, diverse infrastructure across hybrid and multicloud.
Watches
ProvisioningAuto-scalingInfrastructure as codeDecommissioningPolicy enforcementDrift remediation

Benefits

Unified Observability & Management
One control layer for everything
Comprehensive monitoring and management for your entire IT infrastructure — correlated across clouds.
Watches
Metrics, logs, tracesCross-cloud dashboardsCorrelationAlertingSLO trackingOne control layer

Benefits

Carbon Emission Tracking
Progress toward sustainable IT
Track emissions across your clouds and progress your journey toward sustainable, net-zero IT.
Watches
Emissions per cloudRegion carbon mixEnergy / workloadNet-zero trackingRecommendationsReporting

Benefits

Kubernetes & Containers
Every cluster, every cloud
Deep visibility into Kubernetes and containers across EKS, AKS, GKE, and OKE from one place.
Watches
Cluster healthPod & node metricsAutoscalingNamespace viewsMulti-distroContainer logs

Benefits

Serverless & PaaS
Trace the ephemeral, end to end
Monitor serverless and managed platform services — the fast-moving layer native tools often miss.
Watches
FunctionsCold startsInvocation errorsConcurrencyManaged databasesEvent pipelines

Benefits

How it works
From every cloud to one clear
answer
One pipeline discovers every cloud, correlates across them, and acts —
consistently, wherever your workloads run.

1

Connect

Onboard AWS, Azure, GCP, OCI, and hybrid environments with native integrations and agentless discovery.

2

Correlate
Unify metrics, logs, traces, and events across providers to reveal dependencies single-cloud tools miss.

3

Optimize
AI surfaces anomalies, cost waste, and rightsizing opportunities across the whole estate.

4

Automate
Enforce consistent policy and automate response and scaling across every cloud, under your guardrails.
Why UnityOne AI
Unified visibility and control across every cloud
Faster issue resolution, optimized performance, cost efficiency, and stronger
security — so you can confidently manage complexity and maximize the
benefits of multicloud.
Real-Time Multi-Cloud Cost Comprehension
Instant, unified visibility into cost across every cloud — track spend in real time, compare usage, and find savings with confidence.
AI-Powered Proactive Issue Detection
Advanced AI detects anomalies early, predicts failures, and automates root cause — minimizing downtime and manual workload.
Optimize Cloud Costs Efficiently
Continuous monitoring of usage and spend with rightsizing recommendations — controlling cost and aligning cloud investment to goals.
Scalable Integration and Automation
Extensive integrations and hybrid/multicloud support scale with your business, while the automation engine streamlines workflows and governance.

FAQ

Questions teams ask us

How does AI workload observability help reduce downtime?

By providing real-time monitoring and automated alerts, it enables early detection of issues and rapid root-cause analysis — helping teams resolve problems quickly and minimize service interruptions.

Can these solutions optimize resource usage and performance?

Yes. Real-time monitoring combined with AI analytics identifies bottlenecks and inefficiencies across models, GPUs, and infrastructure, so you can allocate resources efficiently and keep AI operations high-performing without wasted capacity.

How does AI workload observability support cost management and scalability?

It tracks resource consumption and workload distribution to prevent overprovisioning, surfaces idle GPUs and endpoints with rightsizing recommendations, and supports dynamic scaling across hybrid and multicloud — so AI capability grows cost-effectively.

What security and compliance benefits does this solution provide?

Continuous monitoring detects vulnerabilities, biases, PII leakage, and abnormal AI behavior, with guardrails and audit-ready evidence — keeping sensitive data protected and AI aligned with regulatory standards.

See it on your stack

Observe every cloud,
from one platform

Request a demo and see UnityOne AI monitor, correlate, and optimize
AWS, Azure, GCP, Oracle Cloud, and hybrid environments — with cost
and carbon side by side.

Ready to get started? 

Talk to an expert.

Technical Support

Available 24/7 to assist you with your queries.

Playground

Experience UnityOne AI in action.

About UnityOne AI ™

UnityOne AI™ is an agentic intelligence platform for ITOps management, comprising CERNE™, LUMI™, and VEKTOR™. CERNE™ replaces dozens of cloud management tools by unifying DCIM, AIOps, HCMP, FinOps, and GreenOps within a single AI-driven control plane. LUMI™, the AI copilot, provides contextual intelligence, operational recommendations, and workflow automation, while VEKTOR™ enables enterprises to provision, orchestrate, and scale AI factories with the lowest cost-to-serve. The UnityOne AI™ suite enables enterprises to simplify hybrid/multicloud operations, strengthen governance, optimize resource utilization, and accelerate transformation to AI-driven ITOps.