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Graph Advantage: Network and IT Operations

Network and IT operations with Neo4j on GraphGridNetwork 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 highly interconnected relationships between physical and virtual networking components as well as users, consumers, applications, services and components within the network elements.

A graph representation not only more efficiently models all these complex relationships but also enables sophisticated simulations for zero-downtime maintenance and very interesting real-time recommendations to be made with respect to proactive replacement of related hardware components that may be likely to cause a failure. This connected structured of the network operations in the Neo4j graph database also allows network managers to create impact analyses, which answers questions such as:

  • Which parts within a network do customers rely on?
  • Which services, applications, and customers within the network are influenced if a certain network element (ex. Switch or router) no longer functions?
  • Are there network redundancies for important customers?

Finding, seizing, and comprehending intricate interdependencies is key to an efficient operation of network and IT operations, which, in turn, is essential in managing an enterprise. Regardless if it involves network optimization, infrastructure application or enhancing security access, such issues will involve a set of interdependencies that are difficult to handle.

The Neo4j graph database is designed to handled interconnected data, making it a natural fit for providing business benefits by converting network and IT operations data into actionable insights.