Key Highlights
Motadata ObserveOps brings deep, cross-layer visibility into compute environments. Teams see how infrastructure behaves, how workloads consume resources, and how performance impacts business services, all from one correlated platform.
Instant visibility into compute performance spanning Windows, Linux, and Unix systems.
CPU utilization, load patterns, and scheduling behavior.
Memory consumption, swap usage, and pressure indicators.
Process and service-level monitoring with execution insights.
System-level counters for granular performance diagnostics.
Understand how virtual infrastructure impacts workload performance.
Native support for VMware, Hyper-V, and Citrix environments.
Host-to-VM resource allocation and utilization tracking.
CPU ready time, memory ballooning, and contention analysis.
Datastore and hypervisor-level performance correlation.
Monitor compute and storage convergence as a unified system.
Support for Nutanix Prism, hosts, and VMs.
Node, cluster, and storage performance monitoring.
Correlation between compute workloads and storage I/O.
Scale monitoring with consistency in all environments.
Pre-built templates for OS, hypervisors, and platforms.
Customizable thresholds aligned with organizational policies.
Rapid onboarding of new systems. No manual configuration required.
Continuously discover compute assets and their relationships.
Agent-based and agentless discovery throughout environments.
Windows and Linux discovery via SNMP alongside agent-based collection.
Dynamic mapping of hosts, VMs, clusters, and services.
Dependency visualization spanning infrastructure and applications.
Translate compute metrics into service impact.
Infrastructure performance mapping to business services.
SLA threshold definition for availability and utilization.
Visual dashboards aligned with service-level objectives.
Intelligence
Modern compute environments span physical servers, virtual machines, hypervisors, and hyper-converged systems. Traditional monitoring exposes metrics from each layer but fails to connect them, leaving teams lacking the cross-layer correlation needed to understand dependencies and impact.
Motadata unifies compute telemetry into one operational model, where metrics from operating systems, virtualization platforms, and infrastructure layers are ingested, normalized, and correlated through Motastore. With AI-driven baselines and dependency awareness, teams detect anomalies earlier, isolate contention points faster, and resolve issues before they impact business operations.
How It Works
Discover compute assets in hybrid environments.
Ingest telemetry via agents, APIs, and protocols.
Normalize data into Motastore's unified data model.
Correlate host, VM, and service dependencies.
Apply AI-driven baselines and anomaly detection.
Visualize insights through SLA-linked dashboards and topology views.
Compute visibility is not isolated. It is fully integrated into the wider observability ecosystem.
Role-Based Value
Gain enterprise-wide visibility into compute utilization and performance spanning physical servers, virtual machines, and hyper-converged systems from one unified platform.
Gain enterprise-wide visibility into compute utilization and performance spanning physical servers, virtual machines, and hyper-converged systems from one unified platform.
Standardize monitoring throughout hybrid environments to eliminate tool sprawl and ensure consistent performance visibility for all teams.
Standardize monitoring throughout hybrid environments to eliminate tool sprawl and ensure consistent performance visibility for all teams.
Detect anomalies faster with cross-layer correlation between host and virtualization layers.
Detect anomalies faster with cross-layer correlation between host and virtualization layers.
Correlate infrastructure behavior with application performance spanning host, virtualization, and container layers to isolate the source of degradation.
Correlate infrastructure behavior with application performance spanning host, virtualization, and container layers to isolate the source of degradation.
From Visibility to Control
Faster root cause identification in compute and virtualization layers.
Reduced alert noise through contextual correlation.
Improved infrastructure utilization and capacity planning.
Higher SLA adherence through service-aligned monitoring.
Operational consistency throughout hybrid environments.
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