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Neebula Announces Integration with HP Universal Configuration Management Database

Neebula Systems announced the integration of ServiceWatch, its service-centric IT management product, with HP Universal Configuration Management Database (uCMDB) software.

With the enhanced visibility available through Neebula ServiceWatch, IT administrators can quickly and efficiently identify root cause and determine the impact of incident, problem, and change management activities, ensuring maximum service availability, reduced costs, and improved operational performance.

The Neebula ServiceWatch-to-HP uCMDB integration features a streamlined and automated population process during which configuration items (CIs), relationships, and dependencies are automatically mapped to services facilitating business-level health monitoring and root cause analysis.

“While customers immediately benefit from the dramatic cost reduction associated with building and populating the HP uCMDB,” said Yuval Cohen, CEO, Neebula Systems. “The real value has been the resulting clear visibility into dependencies between important end-user business services and the underlying specific infrastructure components from amongst the thousands of disparate configuration items normally deployed within the customer data center."

Neebula ServiceWatch is a top-down business-level discovery and dependency mapping product which leverages patented technology to automate the entire service modeling process, requiring no manual intervention. Starting the discovery process with the entry point to the business service (e.g. URL, MQ request, etc.), Neebula ServiceWatch automatically discovers and maps all IT infrastructure components upon which the business service depends, eliminating the need for detailed knowledge of server, storage, network and application infrastructure. The statefulness of the HP uCMDB is maintained at all times via automatic updates whenever configuration changes occur.

“Neebula ServiceWatch, delivered via a simple cloud-based SaaS delivery model, was easy to implement and configure,” said Roman Nemet, president of Svetlo Consulting, an HP partner. “Neebula’s addition of business service context to the HP uCMDB, allows IT users to deploy true business service modeling, enhancing visibility into potential issues associated with infrastructure changes and accelerating the resolution of problems. The increase in value of BSM and CMDB was immediate and distinguishable.”

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Neebula Announces Integration with HP Universal Configuration Management Database

Neebula Systems announced the integration of ServiceWatch, its service-centric IT management product, with HP Universal Configuration Management Database (uCMDB) software.

With the enhanced visibility available through Neebula ServiceWatch, IT administrators can quickly and efficiently identify root cause and determine the impact of incident, problem, and change management activities, ensuring maximum service availability, reduced costs, and improved operational performance.

The Neebula ServiceWatch-to-HP uCMDB integration features a streamlined and automated population process during which configuration items (CIs), relationships, and dependencies are automatically mapped to services facilitating business-level health monitoring and root cause analysis.

“While customers immediately benefit from the dramatic cost reduction associated with building and populating the HP uCMDB,” said Yuval Cohen, CEO, Neebula Systems. “The real value has been the resulting clear visibility into dependencies between important end-user business services and the underlying specific infrastructure components from amongst the thousands of disparate configuration items normally deployed within the customer data center."

Neebula ServiceWatch is a top-down business-level discovery and dependency mapping product which leverages patented technology to automate the entire service modeling process, requiring no manual intervention. Starting the discovery process with the entry point to the business service (e.g. URL, MQ request, etc.), Neebula ServiceWatch automatically discovers and maps all IT infrastructure components upon which the business service depends, eliminating the need for detailed knowledge of server, storage, network and application infrastructure. The statefulness of the HP uCMDB is maintained at all times via automatic updates whenever configuration changes occur.

“Neebula ServiceWatch, delivered via a simple cloud-based SaaS delivery model, was easy to implement and configure,” said Roman Nemet, president of Svetlo Consulting, an HP partner. “Neebula’s addition of business service context to the HP uCMDB, allows IT users to deploy true business service modeling, enhancing visibility into potential issues associated with infrastructure changes and accelerating the resolution of problems. The increase in value of BSM and CMDB was immediate and distinguishable.”

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IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...