Founded in 2013, it is a leading comprehensive wealth management institution in China, focusing on providing professional wealth management services to high - net - worth clients and institutional investors. The company's business covers various fields such as private equity investment, securities investment and fixed income investment. With assets under management of more than 100 billion yuan, it enjoys a good reputation in the industry thanks to its professional investment team and strict risk control system.
Project Background
With the rapid development of the business, the scale of the customer's IT system is constantly expanding, and the system operations and maintenance work faces the following challenges:
- Fragmented asset information: Each business system maintains resource information independently, resulting in inconsistent and incomplete resource data.
- Difficult change management: System changes are disconnected from resource allocation and graph data updates, and the true state of the IT environment is not reflected in real time.
- Low operations and maintenance efficiency: The lack of an accurate resource relationship graph makes troubleshooting and impact analysis time-consuming.
- Increased compliance risks: Failure to meet regulatory requirements for comprehensive, accurate, and real-time monitoring of IT assets.
- Low resource utilization: Inaccurate resource information makes it difficult to effectively optimize resources and control costs.
Project Solution
- CMDB data modeling: Establish a unified asset information model to achieve standardized asset information management and solve the problem of fragmented resource information.
- Automatic discovery of infrastructure: Use automated tools to discover and collect infrastructure resource information in real - time to ensure the accuracy and integrity of asset data.
- Automatic discovery of middleware: Automatically identify and record middleware configuration information to improve the asset relationship graph.
- Automatic discovery of databases: Automatically obtain database instance and configuration information to enhance the comprehensiveness of asset information.
- Zabbix data audit and verification scenario: Achieve automatic comparison between monitoring data and CMDB data to ensure the accuracy of monitoring data.
- NPM data audit and verification scenario: Achieve automatic verification between network performance data and CMDB data to improve the efficiency of network asset management.
- Application relationship graph construction: Build a complete application system relationship graph based on automatically discovered data to improve the efficiency of troubleshooting and impact analysis.
- Resource optimization analysis: Based on accurate asset information, provide resource utilization analysis and optimization suggestions to reduce operating costs.