The size and complexity of your network and IT infrastructure require a configuration management database (CMDB) more powerful than anything relational databases have to offer. Using Neo4j, you can correlate your network, data center and IT assets to help with troubleshooting, impact analysis and capacity or outage planning.
A graph database enables you to connect your many monitoring tools and gain critical insights into the complex relationships between different network or data center operations. From dependency management to automated microservice monitoring, the uses for graphs in network and IT operations is endless.
Network and IT Ops Series: Build Production Solutions
Differentiate your applications and take your solutions to market faster by embedding Neo4j to build innovative products or enhance your Network and IT solutions.Watch the video
Graph Databases in Network & Data Center Management
Learn how Neo4j is inherently more suitable than relational databases for making sense of complex interdependencies central to managing IT infrastructure.Read the white paper
Graph Databases in the Enterprise: Network & IT Operations
Discover how to leverage graph database technology for your network, data center and IT operations for stronger network security and impact analyses.Read the post
Impact analysis and network planning
Quickly determine the impacts of a node failure, maintenance outage or incursion and recommend alternate routes around your most relied-upon components.
Immediately identify the root cause of any network or infrastructure problem by tracing back dependencies quickly and easily. Also provide service desks greater visibility into all components and relationships that make up your IT infrastructure.
Routing and quality-of-service (QoS) mapping
Find the best, shortest or least-busy path; pinpoint the best location in the network to introduce a new service; and complete your QoS mapping from the segment level to the entire network.
IT infrastructure management
Map IT services to the chain of dependent physical and virtual infrastructure components, optionally mapping all the way up to cost centers.
Highly interrelated elements
Whether you’re managing a major network change, providing more effective security-related access or optimizing a network, application infrastructure or data center, the physical and human interdependencies are extremely complex and challenging to manage without the right technology.
Non-linear and non-hierarchical relationships
Relationships among the various nodes in your network are neither purely linear nor hierarchical, making it difficult to model using a traditional RDBMS. In addition, when two or more systems are brought together, these relationships become even more complex to describe.
Growing physical and virtual nodes
With rapid growth in network sizes and both the number and types of elements added to support new network users and services, your IT organization must develop systems that accommodate both current and future requirements.
Native graph storage
Unlike relational databases, Neo4j stores interconnected network data that is neither purely linear nor hierarchical. Neo4j’s native graph storage makes it easier to decipher your IT operations by not forcing intermediate indexing at every turn.
Neo4j’s versatile property graph model makes it easier for organizations to evolve their network and infrastructure models, especially as new technology is constantly added and legacy technology is retired.
Performance and scalability
Neo4j’s native graph processing engine supports high-performance graph queries on large network datasets to enable real-time decision making.
The built-in, high-availability features of Neo4j ensure your network data is always available to mission-critical applications.
Learn how a connected approach towards data applies to different cybersecurity use cases — and how to increase performance and services in each of these sectors by leveraging connections in data.Watch the webinar