System and method for generation of unified graph models for network entities
A system and method for generation of unified graph models for network entities are provided. The method includes collecting, for at least one network entity of a plurality of network entities, at least one network entity data feature, wherein the at least one network entity data feature is a network entity property; genericizing the collected at least one network entity; generating at least a network graph, wherein the generated network graph is a multi-dimensional data structure providing a representation of the plurality of network entities and relations between the network entities of the plurality of network entities; and storing the generated at least a network graph.
1. A method performed by processing circuitry for generation of unified graph models for network entities, comprising:
collecting, by the processing circuitry, for a network entity of a plurality of network entities, a network entity data feature, the network entity data feature including a network entity property;
genericizing, by the processing circuitry, the network entity based on the collected network entity data feature to generate a generic network entity;
generating, by the processing circuitry, an imputed entity, wherein the imputed entity corresponds to and represents a functionality identified in a cloud platform, wherein the identified functionality is not executed by a network entity of the plurality of network entities;
generating, by the processing circuitry, a network graph based on the generic network entity and the imputed entity, wherein the generated network graph is a multi-dimensional data structure providing a representation of the plurality of network entities and relations between the network entities of the plurality of network entities; and
storing, by the processing circuitry, the generated network graph.
2. The method of claim 1 , wherein the network entity property relates to any one of: a network entity type, a network entity class, a network entity category, a network entity configuration, and any combination thereof.
3. The method of claim 1 , wherein genericizing the network entity further comprises:
generating a new generic network entity, wherein the new generic network entity includes a network entity property of the network entity.
4. The method of claim 1 , wherein genericizing the network entity further comprises:
converting the network entity into a new generic network entity, wherein the new generic network entity includes a network entity property of the network entity.
5. The method of claim 1 , wherein generating the imputed entity further comprises: identifying any one functionality of: a platform functionality, an environment functionality, and a combination thereof, wherein the identified functionality corresponds with a functionality of a generic network entity.
6. The method of claim 1 , wherein the generated network graph includes a unified representation of the plurality of network entities.
7. The method of claim 1 , wherein the generated network graph includes a unified representation of a plurality of environment layers.
8. The method of claim 1 , wherein the generated network graph includes a graph vertex, wherein the graph vertex represents any one of: a network entity, a generic entity, and an imputed entity.
9. The method of claim 8 , wherein the graph vertex includes a property label, wherein the property label includes a description of a property of the graph vertex.
10. The method of claim 8 , wherein the generated network graph includes a graph edge, wherein the graph edge is a connection between two graph vertices, and wherein the graph edge represents a relationship between two connected entities, wherein a connected entity is any one of: a network entity, a generic entity, and an imputed entity.
11. The method of claim 10 , wherein graph edge includes any one of: a property label, and a directionality indicator, wherein the property label includes a description of a property of the graph edge, and wherein the directionality indicator includes a description of a direction of the graph edge.
12. The method of claim 1 , further comprising:
generating a visualization of the generated network graph.
13. The method of claim 1 , wherein storing the generated network graph further comprises:
storing the generated network graph in a graph database.
14. The method of claim 1 , wherein a network entity of the plurality of network entities includes any one of: a private endpoint, a transit gateway, a tag-based ruleset, an entity configured to implement a tag-based ruleset, a container-management service, a container-management application, a third-party container, a third-party image, a web-access firewall, a firewall implementation, a multi-entity connection, a cross-entity connection, a container manager, a container manager connection, and any combination thereof.
15. A non-transitory computer-readable medium storing a set of instructions for generation of unified graph models for network entities, the set of instructions comprising: one or more instructions that, when executed by one or more processors of a device, cause the device to:
collect, for a network entity of a plurality of network entities, a network entity data feature, the network entity data feature including a network entity property;
genericize the network entity based on the collected network entity data feature to generate a generic network entity;
generate an imputed entity, wherein the imputed entity corresponds to and represents a functionality identified in a cloud platform, wherein the identified functionality is not executed by a network entity of the plurality of network entities;
generate a network graph based on the generic network entity and the imputed entity, wherein the generated network graph is a multi-dimensional data structure providing a representation of the plurality of network entities and relations between the network entities of the plurality of network entities; and
store the generated network graph.
16. A system for generation of unified graph models for network entities comprising: a processing circuitry;
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to: collect, for a network entity of a plurality of network entities, a network entity data feature, the network entity data feature including a network entity property;
genericize the network entity based on the collected network entity data feature to generate a generic network entity;
generate an imputed entity, wherein the imputed entity corresponds to and represents a functionality identified in a cloud platform, wherein the identified functionality is not executed by a network entity of the plurality of network entities;
generate a network graph based on the generic network entity and the imputed entity, wherein the generated network graph is a multi-dimensional data structure providing a representation of the plurality of network entities and relations between the network entities of the plurality of network entities; and
store the generated network graph.
17. The system of claim 16 , wherein the network entity property relates to any one of:
a network entity type, a network entity class, a network entity category, a network entity configuration, and any combination thereof.
18. The system of claim 16 , wherein the memory contains further instructions that, when executed by the processing circuitry for genericizing the network entity, further configure the system to:
generate a new generic network entity, wherein the new generic network entity includes a network entity property of the network entity.
19. The system of claim 16 , wherein the memory contains further instructions that, when executed by the processing circuitry for genericizing the network entity, further configure the system to:
convert the network entity into a new generic network entity, wherein the new generic network entity includes a network entity property of the network entity.
20. The system of claim 16 , wherein the memory contains further instructions that, when executed by the processing circuitry for generating the imputed entity, further configure the system to: identify any one functionality of: a platform functionality, an environment functionality, and a combination thereof, wherein the identified functionality corresponds with a functionality of a generic network entity.
21. The system of claim 16 , wherein the generated network graph includes a unified representation of the plurality of network entities.
22. The system of claim 16 , wherein the generated network graph includes a unified representation of a plurality of environment layers.
23. The system of claim 16 , wherein the generated network graph includes a graph vertex, the graph vertex represents any one of:
a network entity, a generic entity, and an imputed entity.
24. The system of claim 23 , wherein the graph vertex includes a property label, the property label includes a description of a property of the graph vertex.
25. The system of claim 23 , wherein the generated network graph includes a graph edge, the graph edge is a connection between two graph vertices, and the graph edge represents a relationship between two connected entities, a connected entity is any one of:
a network entity, a generic entity, and an imputed entity.
26. The system of claim 25 , wherein graph edge includes any one of:
a property label, and a directionality indicator, wherein the property label includes a description of a property of the graph edge, and wherein the directionality indicator includes a description of a direction of the graph edge.
27. The system of claim 16 , wherein the memory contains further instructions which when executed by the processing circuitry further configure the system to:
generate a visualization of the generated network graph.
28. The system of claim 16 , wherein the memory contains further instructions that, when executed by the processing circuitry for storing the generated network graph, further configure the system to:
store the generated network graph in a graph database.