Apex, 27502-2410, NC,
United States
The Opennms Group
The Opennms Group, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. The Opennms Group collaboration with software players such as NantHealth empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| The Opennms Group | NantHealth | NantHealth OpenNMS | Application Performance Management | ITSM |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
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New Edge Networks | Construction and Real Estate | 300 | $50M | United States | NantHealth | NantHealth OpenNMS | Application Performance Management | 2004 |
In 2004 New Edge Networks implemented NantHealth OpenNMS in an Application Performance Management role to monitor and scale its managed IP/MPLS services. The deployment has grown to monitor more than 160,000 interfaces and maintain over a million RRD files to support US-based managed network operations.
The NantHealth OpenNMS implementation centers on large-scale network traffic and performance monitoring capabilities, using RRD time-series storage for historical metrics and continuous polling to capture interface and service-level telemetry. Configuration emphasis includes interface discovery, thresholding and event correlation consistent with Application Performance Management workflows, enabling sustained high cardinality metric retention.
Operational coverage targets New Edge Networks managed services and network operations functions across the United States, with the monitoring footprint servicing IP/MPLS circuits, device interfaces and service availability checks. The architecture scales data collection and RRD retention to handle the high interface counts while centralizing event management for operations teams.
The Opennms Group provided implementation and ongoing support for the NantHealth OpenNMS deployment, and the engagement reduced internal support overhead while improving scalability as noted in the case study. Governance focused on embedding monitoring into managed service operations and standardizing alerting and escalation through the OpenNMS platform.
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Papa Johns | Retail | 13200 | $2.1B | United States | NantHealth | NantHealth OpenNMS | Application Performance Management | 2004 |
In 2004, Papa Johns deployed NantHealth OpenNMS as an Application Performance Management solution to monitor and manage its nationwide IT and network infrastructure across the United States. The deployment was oriented toward improving online ordering reliability and maintaining store connectivity for a distributed retail restaurant estate, with implementation work completed in late 2004.
The implementation centered on network operations capabilities, with category-aligned use of network performance monitoring and fault monitoring modules to instrument routers, switches, and edge devices supporting stores and ordering systems. NantHealth OpenNMS was configured to provide centralized event correlation and alerting for network faults and to collect performance metrics for capacity and availability tracking, consistent with Application Performance Management functional workflows.
The Opennms Group served as the systems integrator for the deployment, delivering configuration, rollout support, and operational handover to Papa Johns network operations teams. Operational coverage included nationwide store locations and supporting data center and connectivity points, with monitoring feeds consolidated into a central operations console to support incident response and routine network management.
Governance shifted toward centralized network operations and structured fault resolution processes, with Papa Johns using NantHealth OpenNMS to formalize alerting and ticketing handoffs to NOC personnel. The deployment delivered measurable reductions in network operating costs and staff time, and it reinforced reliability for online ordering and store connectivity as primary business functions impacted by the Application Performance Management implementation.
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Penn State Health | Healthcare | 17500 | $4.4B | United States | NantHealth | NantHealth OpenNMS | Application Performance Management | 2008 |
In 2008, Penn State Health implemented NantHealth OpenNMS, an Application Performance Management solution. The deployment at Penn State Milton S. Hershey Medical Center covered the medical center, the medical school, the children’s hospital and affiliated clinics in the United States. The Opennms Group served as the system integrator for the engagement.
Architecturally the implementation centralized network monitoring and operational visibility, using NantHealth OpenNMS to deliver persistent monitoring, time series performance metrics and fault detection across campus network infrastructure. Configuration emphasized real time alerting and graphical dashboards to support IT and network operations teams, aligning with Application Performance Management capabilities such as network monitoring, performance management and fault management. Custom dashboarding and alert threshold tuning were applied to reflect clinical priorities and operational hours.
The project included custom integrations tied to departmental workflows, enabling alerts and graphs to feed local operational processes for nursing units, departmental IT staff and clinic operations. Operational scope spanned IT and network operations across multiple clinical sites, providing a unified view of network health for the medical center and outpatient clinics. The implementation improved the timeliness of fault notification and the clarity of historical performance graphs used by network engineers.
Governance and rollout centered on centralizing monitoring ownership within network operations and standardizing alert handling procedures across departments, with a phased cutover to minimize clinical impact. Outcomes reported in the case study included reduced operational costs and reduced staff time spent on routine network troubleshooting, along with improved alerting, improved graphs and overall operational efficiency. The deployment represents a practical Application Performance Management adoption model for a large academic medical center.
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