Configuration Management System

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Discover, manage and present data for hardware, software, applications and services in Hybrid IT environments, and their interdependencies. UCMDB Modules.png

CMS is comprised of Universal Discovery (UD) and Universal CMDB (UCMDB). It includes tools for automatically collecting (by discovery or integration), reconciling, managing and presenting data about all configuration items and their relationships. CMS can present data for both data centers and endpoints like desktops and laptops. The data includes the infrastructure components (hardware and software), their dependencies and relationship to the applications and business services they are part of. The CMS data is used by multiple processes including IT Service Management (ITSM), IT asset management (ITAM) and business availability as the main source of data for these environments, and alignment across the same data model and information. CMS is available in two variations Basic and Advanced, with the following features for each:

Feature Basic Advanced
Data Management, Visualization, & Report
CMDB with comprehensive data model (UCMDB)
Reporting
HTML 5 based CMS UI
Change Tracking and Control
Data Reconciliation & Normalization
Policy Management
RESTful API and integration platform
Multi-Tenancy
Secure, Scalable and Highly-Available (HA) Architecture
Software and Hardware Discovery
Agent-based, Agent-Less, or Hybrid Discovery
Discovery of Software & Hardware inventory
Smart Software Recognition
Discovery of Servers & Workstations
Discovery of Infrastructure Technologies
Service and Dependency Mapping Discovery
Discovery of IT Dependencies and relationships
Discovery of Hybrid Clouds, Containers, and Virtualization
Deep Discovery of applications
Impact Analysis calculation
Open architecture for discovery extensions
Automated Service Modeling
Service mapping & visualization Via Templates, perspectives, & views
Oracle License Management Discovery and Reporting

Data Management, Visualization & Reporting (Basic/Advanced)

  • CMDB with comprehensive data model (UCMDB)
    • The CMDB is used as an authorized source of reconciled and normalized data for multiple IT management processes like change & incident management, event management and IT asset management. This helps you align those processes around common data (services, servers etc.), and keeps the decision making process based on relevant and constantly updated information.
    • At the core of the CMDB is a rich data model that describes IT environments and is used as a foundation for other Micro Focus ITOM suites. The data model supports the physical elements (such as servers, network, storage, and software), the logical elements (such as business services, virtual private networks, end users, and service-level agreements), and the relationships between these elements. The data model can be extended to support new data types and attributes.
  • Reporting
    • CMS provides users with built-in reporting generator that can report on any information that is stored or federated from the CMS. Reports can be scheduled and exported in different formats like PDF, Excel, CSV and more. CMS also offers many out-of-the-box reports.
  • HTML 5 based CMS UI

The CMS UI allows easy access to CMS data for administrators and standard users allowing for powerful search for configuration items and services, access to their properties and related configuration items and comprehensive view of any business service.

ITOM CMS HTML5UI.png
  • Change Tracking and Control
    • CMS provides the ability to maintain a continuous history of CI changes. Change tracking allows you to quickly triage change‑induced outages and audit the change management process. Even after a CI has been deleted, users can see how it looked before it was deleted, for audits and other purposes.
  • Data Reconciliation and Normalization
    • Any data that goes into CMS passes through normalization and reconciliation to ensure a consistent set of data. For better data quality, CMS offer a reconciliation analyzer that let customers view details of the internal process of data reconciliation, in order to improve the quality of data that is being sent to the system.
  • Policy Management
    • Users can create configuration policies and be notified when breached. Policies can look into the status of specific confirmation item (for example, ensuring that a server is at a specific patch level), or the entire dependency, to ensure that service architecture does not have a single point of failure.
  • REST API and integration platform
    • Access and update CMS data with REST API that enables users to integrate easily with other systems. CMS also offers native capabilities to push or pull data to and from other managed data repositories, including many out-of-the-box integrations.
  • Multi-Tenancy
    • CMS can manage more than one tenant within a single instance. This capability is targeted for managed service providers (MSPs) and large or distributed organizations, to cut management costs, and make the operation easier (manage a single instance instead of multiple ones).
  • Secure, Scalable and Highly-Available (HA) Architecture
    • CMS can scale to discover very large global enterprise environments that include multiple data centers with hundreds of thousands of servers and devices. The discovery is based on the deployment of one or more discovery components (probes) that can scale as needed. The server can be deployed in HA model, that enables large volume of data acquisition and user access. CMS is deployed in a secure manner via secured communication channels and encryption.

Software and Hardware Discovery (Basic/Advanced)

  • Agent-Based, Agent-Less or Hybrid Discovery
    • UD can discover devices using agent-less, agent-based or hybrid combinations of the two, allowing for complete flexibility in terms of network and security policies and still discover and model your IT enterprise.
  • Discovery of Software & Hardware inventory
    • UD discovers devices and configuration items (CIs) from layer 2 through layer 7 of the OSI model, as well as deep-device and application-specific information.
  • Smart Software Recognition
    • Recognize the software that is deployed in your data centers, and on user endpoints, by leveraging ‘Smart Software Analytics’ (SSA). SSA uses machine learning rules and leveraging the IDOL product, to suggest new software signatures, based on file recognition. SSA also automates the process of collecting the files, sending them to be analyzed, and eventually distributing the signatures across the different probes.
  • Discovery of Servers and Workstations
    • All major Linux vendors and supported versions
    • All supported releases of Windows Server
    • All supported releases of Windows and MacOS
    • Mainframe IBM z/OS and AS400
    • List of more than 144,000 installed software titles with more being added monthly
    • System utilization metrics
  • Discovery of Infrastructure Technologies
    • Clustering technologies from Microsoft, IBM, Microsoft, Red Hat, HP, Solaris and Veritas
    • Load balancing technologies from F5, A10, Alteon, Cisco and Microsoft
    • Network active and passive discovery including layer2 connectivity, DNS Zone, and firewalls
    • Servers to switches Layer2 modeling based on NNMI (nom suite) discovery of switches and UD discovery of servers

Service and Dependency Mapping Discovery (Advanced)

  • Discovery of IT Dependencies and relationships
    • UD explores and maps the relationships between devices and configuration items (CIs). UD delivers discovery for both on-premises environments and hybrid-cloud environments out-of-the-box, and is open for extensions by customers and partners.
  • Discovery of Hybrid Cloud, Containers and Virtualization
    • Public cloud compute resources and services from AWS, Azure and Google
    • Private cloud compute resources from OpenStack, vCloud, Docker Swarm and Cloud Foundry
    • Virtual servers from VMware, Hyper-V, Citrix, Oracle VM, HPE, IBM, Solaris, Red Hat, Xen
    • Virtual environment managers from VMware (vCenter), Microsoft (SCVMM) and Red Hat (RHEVM)
    • Container technologies such as Kubernetes, Docker Swarm, Docker and AWS ECS
  • Deep Discovery of applications
    • Databases from Microsoft, Oracle (directly or via Oracle OEM), SAP, MySQL, PostGreSQL, Sybase and HPE
    • Enterprise software from Microsoft, Cisco, SAP (via SAP Solution Manager and SAP Focused Run)  and Siebel
    • Middleware from Microsoft, Apache, TIBCO, WebSphere, GlassFish, JBoss and Oracle (directly or via Oracle OEM)
    • Secure access software from IBM and Oracle
  • Impact Analysis calculation
    • Understand the impact of a device (e.g. server, storage) change or incident on the business services that might be impacted. Connecting the infrastructure devices to the business reduces risk, by enabling you to focus on the most critical business priorities.
  • Open architecture for discovery extensions
    • Users can extend the out-of-the-box discovery or integration capabilities, by either modifying existing discovery modules (for example adding more attributes to an existing discovery), or adding a complete new discovery capabilities. The product delivers access to protocols and tools that can be used to speed the development of new discovery capabilities.
  • Automated Service Modeling
    • Map your business services using top-down discovery starting from an entry point of the service like URL or IP, and keep your service maps constantly updated.
  • Service Mapping & Visualization via templates, perspectives & views
    • CMS enables users to map their business services and other dependencies using automated UI based tools via discovery, templates, perspectives & views, ensuring that your business services are always kept up to date
  • Oracle License Management Discovery and Reporting
    • Oracle LMS provides the ability to discover and then collect Oracle-certified audit details for the Oracle databases in use in your enterprise.  Oracle LMS runs the exact same scripts you would receive from Oracle for your audit, but automates the collection of data with your existing Oracle database discovery.  No longer will you be required to scramble and identify each server that is running Oracle, because your existing Oracle discovery will have already done the hard work for you.  You simply provide the resulting Oracle LMS report for each database back to Oracle and you’ve completed the data collection process.