ManageEngine OpManager – Enterprise Network Monitoring and Management Platform

Comprehensive enterprise network monitoring solution offering real-time device monitoring, fault management, network automation, and AI-powered analytics across multi-vendor infrastructure.

About ManageEngine OpManager

ManageEngine OpManager stands as the enterprise-class network monitoring and management platform serving Fortune 500 organizations, government agencies, and large managed service provider networks globally. The software delivers real-time visibility across heterogeneous network infrastructure encompassing physical devices, virtual machines, cloud services, and applications through unified dashboarding and automated reporting. OpManager distinguishes itself through AI-powered autonomous remediation capabilities that identify root causes automatically and execute corrective workflows, transforming reactive troubleshooting into proactive issue prevention. The platform's architecture supports distributed monitoring across global locations through probe server distribution, enabling organizations to maintain operational oversight regardless of geographic deployment complexity. Enterprise customers appreciate OpManager's cost-effectiveness at scale, API-first integration architecture, and professional services ecosystem supporting complex deployment scenarios.

System Requirements

  • Operating System: Windows Server 2008/2012/2016/2019 or Red Hat Enterprise Linux 6.5+/Ubuntu 14.04+
  • Processor: Intel Xeon 2.5 GHz 4-cores/8-threads or equivalent
  • RAM: 8 GB
  • Disk Space: 20 GB
  • Additional Requirements: PostgreSQL or Microsoft SQL Server 2008+, 64-bit architecture required, 7000+ PassMark score recommended for Enterprise deployments

Features Of ManageEngine OpManager

  • Real-Time Network Monitoring: Live tracking of device health, performance metrics, and service availability across 500-1000+ devices
  • Automated Discovery Engine: Automatic network device identification with dynamic topology map updates
  • Multi-Vendor Support: Native monitoring for Cisco, Juniper, Arista, Brocade, Dell, HPE devices spanning routers, switches, firewalls, load balancers
  • Virtualization Monitoring: VMware vSphere agentless monitoring (70+ sensors), Hyper-V host/guest metrics (40+ sensors), container and Kubernetes tracking
  • AI-Powered Root Cause Analysis: Machine learning identifies underlying issues from correlated alerts automatically
  • Automated Fault Remediation: Pre-built and custom workflows execute corrective actions automatically without manual intervention
  • Performance Threshold Alerts: Customizable thresholds trigger notifications via email, SMS, Slack, PagerDuty
  • Topology Mapping: Dynamic network diagram visualization showing device relationships and dependencies
  • Incident Management: Automatic ticket creation in ServiceNow, Jira, Azure DevOps with rich alert context
  • Advanced Reporting: Customizable reports with performance trends, availability statistics, and compliance documentation

Pros & Cons

Pros

  • Excellent cost-effectiveness at enterprise scale compared to SolarWinds and Cisco alternatives
  • Comprehensive multi-vendor device support spanning entire heterogeneous infrastructure
  • Autonomous AI remediation reduces manual troubleshooting effort and mean-time-to-resolution
  • Robust webhook and REST API enabling sophisticated third-party integrations
  • Distributed architecture with probe servers supports geographic deployment flexibility
  • Inclusive licensing model provides excellent value for organizations monitoring 500+ devices
  • Excellent professional services ecosystem with implementation and training support
  • Open standards compliance (SNMP, Syslog) prevents vendor lock-in
  • Multi-tenancy capabilities ideal for managed service providers and enterprises with subsidiary monitoring

Cons

  • Cloud deployment unavailable; requires on-premises infrastructure limiting SaaS flexibility
  • Steeper learning curve compared to simpler tools; requires substantial network knowledge
  • Web interface occasionally slower on large deployments with 1000+ devices
  • Database management overhead requires DBA resources for large-scale implementations
  • Limited built-in visualization compared to SolarWinds Network Performance Monitor
  • Pre-built integration library smaller than SolarWinds alternatives
  • Probe server deployment complexity in geographically distributed environments
  • Licensing per-device model less attractive than unlimited monitoring tools

Changelog

Version 14.5.108 (December 2025):
- Enhanced AI anomaly detection with improved machine learning models
- Kubernetes monitoring expansion supporting additional container orchestration platforms
- Custom integration builder with visual workflow design interface
- Automated backup and disaster recovery capabilities
- Improved dashboard responsiveness for large-scale deployments

Version 14.0 (June 2025):
- Introduced autonomous AI remediation engine
- OpenTelemetry support for observability data ingestion
- Cloud-native monitoring for microservices and serverless applications
- Enhanced trace visualization and distributed tracing support
- Multi-cloud monitoring across AWS, Azure, GCP environments

Frequently Asked Questions

Can OpManager monitor cloud infrastructure like AWS and Azure?

Yes, OpManager version 14.0+ monitors AWS EC2, RDS, Azure VMs, and GCP resources through cloud-specific connectors. Native cloud integration enables unified dashboard visibility across on-premises and cloud instances.

Does OpManager include database monitoring capabilities?

OpManager core functionality focuses on network and infrastructure monitoring. Applications Manager plugin extends capabilities to Oracle, SQL Server, MySQL, PostgreSQL monitoring with separate licensing.

What database does OpManager use for storing monitoring data?

OpManager includes PostgreSQL bundled by default for immediate deployment. Customers can optionally integrate external Microsoft SQL Server 2008+ instances for enhanced performance and redundancy.

How many devices can a single OpManager instance monitor?

Single instances support up to 1000 devices efficiently. Larger deployments utilize distributed probe architecture with central server federating data from remote probes across geographic locations.

Does OpManager support automatic failover and redundancy?

OpManager supports high-availability setup with secondary instance configured for automatic failover. Probe server distribution enables monitoring continuation if central server becomes unavailable.

Can OpManager integrate with existing ticketing systems?

Yes, built-in integrations support ServiceNow, Jira, Azure DevOps, and BMC Remedy. REST API webhooks enable custom integrations with any HTTP-capable ticketing system.

What is the typical deployment timeline for OpManager?

Basic 50-device deployment typically completes in 2-3 days. Enterprise 1000+ device deployments with probe distribution and custom integrations require 4-6 weeks with professional services.