NG CMDB - Vertice

Solution Overview

The next-gen CMDB platform is positioned as a "Unified Resource Data Hub" within IT infrastructure. Serving as data managers and providers, it accelerates value creation from resource data by prioritizing diverse consumption scenarios. Core objectives focus on maximizing data consumption, driving a flat architecture design to facilitate third-party tool integration for streamlined data access and exchange.

Standard Governor‌: Unified, modelable, and scalable data standard authority;
Data Factory‌: Trustworthy, highly automated, consumption-oriented dynamic mass data supplier;
‌Information Bridge‌: Simplified, efficient, proactive service integration to accelerate scenario expansion, bridge third-party tool data exchange, and fully activate the integrated O&M ecosystem.

01. Modeling

Flexible, open data models unify resource configuration and graph data definitions, integrating massive, multi-source, multi-format resource, configuration, alert, change, and log data.
Supported Capabilities‌:Data types, fields, dictionaries, tags, permissions; read-only/required/calculation/display logic; forms, lists, and UI rendering rules.

02. Discovery

The platform maximizes automated discovery technologies to fully replace manual registration and maintenance. Equipped with over 200 built-in resource discovery capabilities, it covers network scanning, application software detection, infrastructure identification, and third-party trusted source integration. Additionally, the system performs data reconciliation to consolidate multi-source datasets based on predefined policies.

03. Governance

Data-entity consistency is the core metric for CMDB configuration management. The platform ensures accuracy through automated discovery, user inputs, and multi-layered governance mechanisms.
Key Measures‌:Strict data validation; push-to-review workflows; version tracing and rollback for changes; cross-type data audits; auto-tagging of anomalies; periodic auto-cleanup of expired records.

‌04. Service

The platform leverages resource data through built-in service modes to deliver configuration and graph insights to third-party systems, enabling scenario-based consumption.
Key Service Modes‌:Secure & model-decoupled REST APIs5; proactive Data Push workflows; Dynamic Grouping for multi-dimensional data aggregation; Federated Data provisioning with on-demand third-party integration.

‌05. Scenario

CMDB’s value derives from ‌scenario-driven adoption → feedback → iteration‌. By aligning with core IT workflows(Ops/Monitoring/Security/Decision-making), we transform high-frequency data demands into executable scenarios.
‌Built-in Modules‌:
Resource Insights | Topology Discovery | Application Profiling | IP Governance
DC Panorama | Rack Capacity | Change Audits | Metrics Hub

06. Intelligent Assistant

Platform 3.0 launches the “CMDB Intelligent Assistant” powered by ‌LLM + MCP‌, enabling multidimensional data operations (query/analysis/reporting) through natural language dialogues.
Current Scenarios‌:

Capacity assessment for scaling decisions
Dependency impact analysis via resource mappings
Custom field-based visual reporting
Automated data gap discovery and replenishment

Future updates will expand intelligent scenarios with enhanced LLM/MCP integration.