Full stack monitoring for your IT environment

Eliminate blind spots across every layer of your IT stack with AI-powered OpManager Nexus (formerly OpManager Plus) platform, built to correlate signals across silos and surface what actually matters

Overview

OpManager Nexus' comprehensive full-stack monitoring connects infrastructure, virtualization, application, and security insights. With cross-layer correlation, topology mapping, and real-time analytics, IT teams can now trace issues across dependencies, reduce alert noise, and accelerate root cause analysis while ensuring consistent performance across distributed systems.

Command center for your entire network foundation

Discover and monitor servers, network devices, and storage with real-time performance metrics
Track hardware health indicators like temperature, power, and fan status proactively
Monitor and back up configuration changes to ensure control and quick rollback
Analyze historical trends to plan capacity and prevent resource exhaustion
Visualize infrastructure with 3D data center views for contextual monitoring

Complete visibility into virtual machines and containerized workloads

Monitor VMs and hosts across VMware, Hyper-V, Nutanix, and XenServer from one dashboard
Track live VM migrations to ensure seamless workload movement and performance continuity
Monitor containers across Docker and Kubernetes with pod-level performance insights
Identify VM sprawl and optimize resource allocation across virtual environments
Visualize host, VM, network, and datastore relationships for faster decision-making

Monitor the services and interfaces your business runs on

Monitor web application availability, response time, and transactions across infrastructure layers
Track database performance metrics impacting application SLAs and reliability
Ensure availability of critical ERP and CRM applications supporting business operations
Monitor API performance, error rates, and throughput across services and integrations
Gain unified visibility across cloud and on-prem application environments

Monitor your security layer as part of the stack, not separately

Monitor firewall performance and logs across vendors to detect suspicious traffic and policy violations
Correlate IDS/IPS alerts with infrastructure metrics to prioritize real threats
Track user activity to identify risky behavior and unauthorized access patterns
Verify encryption protocols to ensure secure, compliant data protection
Generate compliance reports and enable forensic audits for governance and regulatory needs

Connect signals across every layer to find root causes faster

Correlate application slowdowns with infrastructure issues across databases, storage, and virtual resources
Visualize service dependencies across infrastructure layers to quickly identify fault origins
Apply alarm correlation to reduce noise and highlight the true root cause
Trace cascading failures across systems before they impact users or SLAs
Link alerts with full context to understand impact and prioritize response

AI-powered insights and automation for modern IT operations

Use adaptive ML thresholds to eliminate false alerts during dynamic workload changes
Integrate with AI ecosystems via MCP server and LLMs like OpenAI, DeepSeek, and Ollama to enable insights, contextual data access, and intelligent automation.
Leverage AI dashboards for anomaly detection, failure prediction, and remediation insights
Forecast resource usage across servers, storage, and network to plan ahead
Automate L1 and L2 responses with workflow-driven actions across infrastructure layers
Detect behavioral anomalies to identify potential security threats early

FAQ

What is full-stack monitoring in a hybrid IT environment?

Full-stack monitoring provides unified visibility across on-prem, cloud, and hybrid environments—covering networks, servers, applications, storage, and end-user experience. It helps track how components interact across distributed systems, ensuring consistent performance and availability regardless of where workloads run.

What challenges do enterprises face in hybrid full-stack monitoring?

Enterprises struggle with fragmented visibility, inconsistent monitoring models, and dynamic workloads across on-prem and cloud environments. Correlating data across layers and environments becomes complex, making it difficult to identify root causes and maintain consistent performance at scale.

How is full-stack monitoring different from using multiple point tools?

Unlike siloed tools that monitor specific layers, full-stack monitoring unifies infrastructure, application, and user experience data in a single platform. This eliminates context switching, reduces tool sprawl, and enables faster correlation of issues across the entire IT stack.

What is the value of full-stack monitoring for enterprise IT operations?

Full-stack monitoring accelerates issue detection, simplifies root cause analysis, and enables proactive problem resolution. By providing a centralized view of the entire IT environment, it improves operational efficiency, enhances collaboration, and helps maintain reliability in complex, distributed systems.

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