1. Project Overview

neatlogic-cmdb is a powerful enterprise-grade configuration management platform that supports automatic discovery, automatic data collection, topology diagrams, and custom configuration item models.

neatlogic-cmdb is the configuration management module. Combined with neatlogic-autoexec, it enables automatic discovery and data collection. Combined with neatlogic-itsm, it supports modifying configuration items within workflows. Combined with neatlogic-pbc, it supports automatic data delivery to the People's Bank of China. neatlogic-cmdb adopts the design philosophy that "Everything Is a CI" and supports directly converting external data into configuration items for internal CMDB consumption, such as user information and organizational structure information. neatlogic-cmdb cannot be deployed or built independently. For build and deployment instructions, refer to the documentation for neatlogic-itom-all.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

Custom Models

Supports custom models and model inheritance.

• Supports various attribute types, including reference attributes, passwords, attachments, text, numbers, date and time, and expressions.
• 
• Relationships support bidirectional rules.
• 

Custom Views

Custom views allow users to reorganize data. Users can configure relationships between models or bypass intermediate models to access target models directly, meeting different data consumption requirements.

• Visual configuration of data views.
• 
• Additional personalized display effects can be achieved through a small amount of custom code for data views.
• 
• Visual configuration of topology views.
• 

Configuration Item Transactions

Adopts a transaction design inspired by databases. Configuration item modifications support two-phase commits, separation of modification and activation permissions, transaction recovery, comparison, and other features.

• Global transaction management makes it easy to identify recently modified configuration items.
• 
• Complete display of configuration item modification history.
• 

Topology

Supports multiple automatic layout methods, including hierarchical and star layouts.

• Model Topology
• 
• Configuration Item Topology
• 
• Custom View Topology (Similar to configuration item topology, but relationships are generated based on custom views.)

Permissions

In addition to traditional model-based authorization, the system also supports authorizing individual configuration items through rules.

• Model Permission Settings
• 
• Authorization by Group
• 

Global Search

• Quickly search for configuration items using full-text search.
• 

4. Feature Overview

Function List

ID

Category

Function Point

Description

1

Model management

Supports dynamic definition of configuration models.

Configuration models support dynamic definitions, including settings for model attributes, relationships, display names, uniqueness rules, validation rules, and attribute and relationship groups.

2

Supports optional model field types.

Attribute settings within configuration models include attribute types, validation rules, and whether configuration data is collected automatically. Common attribute field types include text boxes, numbers, text areas, dropdown lists, dates, times, time ranges, passwords, attachments, tables, expressions, and links.

3

Supports model inheritance relationships.

Supports defining abstract models and model inheritance to simplify the maintenance of configuration model attributes and relationships.

4

Supports definition of model relationship types.

Supports defining model relationship types, including relationship display rules and model relationship groups.

5

Supports model relationship definitions.

Model relationships support upstream and downstream references, self-references, and relationships associated with multiple targets. Both single-select and multi-select association methods are supported, along with uniqueness validation within individual models and across the global scope.

6

Supports applying different validation rules to model attributes.

Model attributes can use different validation rules. In addition to regular expressions, complex rule validation is supported through third-party system calls or custom implementations.

7

Supports combined uniqueness validation across multiple attributes.

Supports combined uniqueness validation across multiple attributes. For example, IP addresses and ports can be validated as a unique combination while allowing duplicate IP addresses and duplicate port numbers individually.

8

Supports comprehensive auditing features.

Provides comprehensive auditing capabilities, recording detailed changes to attributes and relationships.

9

Authorization Management

Grant management or viewing permissions to different roles through authorization settings.

10

Supports defining data compliance rules for model configuration item data.

Supports configuring data compliance checks for model data based on management requirements.

11

Supports automatic data collection frequency settings for models.

Supports configuring automatic data collection frequency and data scope for models.

12

Configuration Item Management

Supports data transactions.

Supports transaction operations on configuration items within models. Data requiring transaction submission permissions can be previewed and reviewed before being committed to the database. Transactions include three operation types: create, update, and delete.

13

Supports multiple data import methods.

Supports configuration page operations, batch imports using downloadable Excel templates, automatic discovery, and API-based operations.

14

Supports data topology visualization.

Supports topology visualization of configuration item data based on relationships defined in models, with configurable display rules.

15

Supports displaying configuration item relationships on detail pages.

Supports displaying configuration item relationships in table or list formats.

16

Supports data-level authorization.

Supports data-level authorization by configuring authorization rules based on configuration item attribute values.

17

Compliance Checks

Compliance checks based on custom rules.

18

Global Search

Full-text search with keyword tokenization.

19

Supports aging and cleanup of configuration relationship data.

For automatically collected relationship data, expiration and cleanup can be configured after a specified period.

20

Group Management

Customize read-only and maintenance permissions for configuration model data, with support for defining conditional rules for configuration items in corresponding models.

21

Configuration Views

Supports custom query views that display attributes and relationships across multiple models.

Supports creating custom query views that display cross-model attributes and relationships based on associations between models.

22

Supports user-configurable and searchable view attributes.

View attributes can be configured by users. All attributes support sorting and can be used as search criteria.

23

Supports multi-level grouping by attributes and total count calculations.

Supports multi-level grouping by attributes and automatically calculates the total number of configuration items returned by the view query.

24

Supports exporting view query results.

View query results can be exported.

25

Supports authorization-based control over view management and access.

Supports controlling view management and access through authorization settings.

26

Supports structured display of view data.

Displays view data in logically grouped and hierarchical structures.

27

Resource Center

Application Resource Center

Displays and manages application resources from an application-centric perspective, including application modules, middleware, databases, and operating system information.

28

Asset Resource Center

A resource center organized by resources and functional roles, including information about applications, application instances, hardware, and more.

29

Account Settings

Supports binding assets to corresponding shared and private accounts.

30

Label management

Supports assigning different tags to assets and querying data by tags and types.

31

Automatic Discovery

Network Segment Scanning

Supports network segment scanning based on network ranges, ports, and asset characteristics.

32

Asset Characteristics

Supports adding and importing asset characteristics.

33

Unknown Devices

Supports marking characteristics of unknown devices detected online and automatically importing them into the characteristic database.

34

Data Collection

Operating System Discovery

Supports major Windows Server, Linux, and AIX operating system distributions, with both agentless and agent-based data discovery.

35

Middleware Discovery

Data collection and relationship discovery for mainstream versions of Tomcat, Nginx, WebSphere, WebLogic, Redis, Resin, Java processes, WebSphere MQ, ActiveMQ, RabbitMQ, Apache, IIS, JBoss, KeepAlive, Lighttpd, Python processes, Tuxedo, ZooKeeper, and Memcached.

36

Database Discovery

Data collection and relationship discovery for mainstream versions of MySQL, Oracle, DB2, MSSQLServer, MongoDB, Elasticsearch, Hadoop, Sybase, PostgreSQL, and Informix.

37

Network Device Discovery

Data collection and relationship discovery for mainstream load balancing devices such as F5 and A10, as well as switches, routers, and firewalls from various vendors.

38

Virtualization Discovery

Supports data collection and relationship calculation for vSphere 6.0+, SMTX, and Huawei FusionCompute.

39

Server Hardware Discovery

Supports data enrichment and relationship calculation for hardware devices imported manually.

40

Optical Cross-Connect Data Collection

Supports mainstream optical cross-connect versions, providing data enrichment and relationship calculation for optical cross-connect assets.

41

Storage Device Discovery

Storage device support depends on the specific customer environment. Supported platforms include data collection and relationship calculation for IBM DS series, IBM Flash series, IBM V7000 series, IBM SVC, IBM FlashSystem 900, EMC RPA, EMC VNX, NetApp, HDS VSP series, and HDS AMS series.

42

Data Consumption

RESTful API

All CMDB operations support management through RESTful APIs, including customizable API authentication methods, access frequency, and access time. Supported operations include model management, configuration item management, and view queries.

43

Message Subscription

CMDB configuration item operations push data to MQ, including create, update, and delete operations.

5. Tech Stack

Running environment

Operating System: Linux, Java Version: 8+, Process Memory: 4 GB or more, 8 GB recommended.

Dependency Components

Components

Version

Required

Description

Tomcat

9.0.75

✅

Servlet Container

Mysql

8.0.27

✅

Database

Nginx

1.16.1

✅

Frontend Server

MongoDb

4.4.3

✖️

Temporary database for automatic data collection. Required if the CMDB automatic data collection feature is enabled.

MinIO

5.0.6(2020-05-08T02:40:49Z)

✖️

Attachment storage. If not deployed, the system automatically switches to local storage mode. When multiple services share attachments, the upload directory must be configured as a shared directory, such as NAS.

Nacos

2.1.0

✖️

Centralized configuration management. If Nacos is not deployed, configuration will be read from the local config.properties file instead.

ActiveMQ Artemis

2.17.0

✖️

Message queue. Deployment is optional if no third-party system needs to consume messages.

Source code download