Data driven systems and methods to isolate network faults
Methods, systems and computer readable media for isolating network faults are provided. A data driven automation services module is provided Including a data connector, a data driven policy designer and a data driven self-service engine. The data connector collects data from the plurality of network data sources and integrates the data into shared communities for insight development. The data driven policy designer creates and stores templates and develops policies to implement service tasks to identify and isolate network problems. The data driven self-service engine integrates the network and its orchestration capabilities with big data technology to develop a plurality of microservices to perform service tasks.
1. A system for identifying and isolating a network problem comprising:
a network having a plurality of network data sources;
an orchestration platform coupled to the network and providing orchestration capabilities, the orchestration platform comprising:
a data driven automation services module comprising:
a data connector that collects data from the plurality of network data sources and integrates the data into shared communities for insight development;
a data driven policy designer capable of creating and storing templates and developing policies to implement service tasks to identify and isolate the network problem; and
a data driven self-service engine that integrates the network and the orchestration capabilities with big data technology to develop a plurality of microservices to perform the service tasks.
2. The system of claim 1 wherein the data driven policy designer uses machine learning to develop the policies.
3. The system of claim 1 wherein the plurality of microservices comprises a plurality of reusable microservices.
4. The system of claim 1 wherein the data collected from a plurality of data sources comprises alarms.
5. The system of claim 1 wherein the data connector collects service chain data to identify transport types and network components.
6. The system of claim 1 wherein the data driven policy designer uses or creates policies to identify root causes of the network problems.
7. The system of claim 1 wherein the plurality of microservices are powered by machine learning or artificial intelligence and are available to be used by the shared communities.
8. A method for identifying and isolating network problems comprising:
collecting data from a plurality of network data sources in a data connector;
integrating the data into shared communities for insight development;
creating and storing templates and developing policies to implement service tasks to identify and isolate network problems; and
integrating network and orchestration capabilities with big data technology to develop a plurality of microservices to perform the service tasks.
9. The method of claim 8 , wherein the data driven policy designer uses machine learning to develop the policies.
10. The method of claim 8 , wherein the plurality of microservices comprises a plurality of reusable microservices.
11. The method of claim 8 , wherein the data collected from a plurality of data sources comprises alarms.
12. The method of claim 8 , wherein the data connector collects service chain data to identify transport types and network components.
13. The method of claim 8 , wherein the data driven policy designer uses or creates policies to identify root causes of the network problems.
14. The method of claim 8 , wherein the plurality of microservices are powered by machine learning or artificial intelligence and are available to be used by the shared communities.
15. A non-transitory computer readable storage medium having computer-executable instructions that, when executed, cause a computer system to:
collecting data from a plurality of network data sources in a data connector;
integrating the data into shared communities for insight development;
creating and storing templates and developing policies to implement service tasks to identify and isolate network problems; and
integrating network and orchestration capabilities with big data technology to develop a plurality of microservices to perform the service tasks.
16. The non-transitory computer readable storage medium of claim 15 , wherein the data driven policy designer uses machine learning to develop the policies.
17. The non-transitory computer readable storage medium of claim 15 , wherein the plurality of microservices comprises a plurality of reusable microservices.
18. The non-transitory computer readable storage medium of claim 15 , wherein the data connector collects service chain data to identify transport types and network components.
19. The non-transitory computer readable storage medium of claim 15 , wherein the data driven policy designer uses or creates policies to identify root causes of the network problems.
20. The non-transitory computer readable storage medium of claim 15 , wherein the plurality of microservices are powered by machine learning or artificial intelligence and are available to be used by the shared communities.