Graph Advantage: Network and IT Operations

Network and IT operations are increasingly complex in their distribution and operation. Data complexity is a function of structure, size and connectedness. It doesn’t take an organization long to

reach a point where non-graph databases just don’t keep up with constantly evolving components and topology of the network infrastructure. Network outages and failures are detrimental to any organization so being a step ahead of potential failures is a huge advantage.

Challenges in Network and IT Operations

Enterprises are facing an increasing number of challenges as network complexity continues to increase. Here are a few examples of such challenges:

• Network troubleshooting
  Regardless if it involves network changes, increasing security access or enhancing infrastructure usages, the interdependencies of the network elements involved are highly intricate, which makes it very hard to troubleshoot.
Cause-and-effect analysis
Relationships within different nodes in the network are neither hierarchical nor linear. This makes it challenging to quickly determine dependence of sub-groups of network elements on one another. The more systems being brought together, the more complex these relationships become and the more difficult it is to isolate the chain of failure.
• Expanding virtual and physical nodes
  With surging growth within the size of networks as well as the components included to support users and services, your enterprise’s IT team will have to create systems that make room for both future and current requirements.

Network and IT Operations Benefits from Neo4j

For any IT and network operations, the Neo4j graph database should be considered for the benefits it provides with flexible graph model, which more accurately represents the topology and

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