Self-adjusting control loop

1. A method, comprising:

monitoring, by a control loop comprising a processor and a memory, a first environment, wherein the control loop comprises one or more predetermined control loop parameters;

receiving, by the control loop and in response to monitoring the first environment, first data from the first environment;

receiving, by the control loop, information from an adaptation control loop, wherein the information is based on:

one or more predetermined adaptation policies of the adaptation control loop; and

second data received by the adaption control loop from a second environment;

determining, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop;

automatically adjusting, by the control loop, the one or more predetermined control loop parameters; and

determining, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.

2. The method of claim 1 , wherein the one or more predetermined control loop parameters comprise at least one of the following:

a policy;

a data collection code portion; and

a threshold value.

3. The method of claim 1 , wherein automatically adjusting the one or more predetermined control loop parameters comprises one or more of the following:

adding at least one new parameter to the one or more predetermined control loop parameters;

deleting at least one of the one or more predetermined control loop parameters; and

replacing at least one of the one or more predetermined control loop parameters with one or more alternate parameters.

4. The method of claim 1 , wherein:

the first environment is a virtual network function (VNF);

the first data received from the first environment comprises at least one of the following:

event data of the VNF; and

performance data of the VNF;

the second environment is a virtual cloud service for an entity; and

the second data comprises at least one of the following:

an internal operating condition of an entity;

personal information of the entity;

operating costs of the entity; and

security information of the entity.

5. The method of claim 1 , wherein the information is further based on at least one of the following:

a microservice;

a neural network;

artificial intelligence; and

machine learning.

6. The method of claim 1 , wherein the control loop comprises the adaptation control loop.

7. The method of claim 1 , wherein the control loop is a slave to the adaptation control loop.

8. The method of claim 1 , wherein the action comprises one or more of the following:

sending a message to a management system;

recommending a remedial measure; and

installing a software patch to a software program associated with the first environment.

9. One or more computer-readable non-transitory storage media embodying software that is executable to:

monitor, by a control loop comprising a processor and a memory, a first environment, wherein the control loop comprises one or more predetermined control loop parameters;

receive, by the control loop and in response to monitoring the first environment, first data from the first environment;

receive, by the control loop, information from an adaptation control loop, wherein the information is based on:

one or more predetermined adaptation policies of the adaptation control loop; and

second data received by the adaption control loop from a second environment;

determine, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop;

automatically adjust, by the control loop, the one or more predetermined control loop parameters; and

determine, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.

10. The media of claim 9 , wherein the one or more predetermined control loop parameters comprise at least one of the following:

a policy;

a data collection code portion; and

a threshold value.

11. The media of claim 9 , wherein automatically adjusting the one or more predetermined control loop parameters comprises one or more of the following:

adding at least one new parameter to the one or more predetermined control loop parameters;

deleting at least one of the one or more predetermined control loop parameters; and

replacing at least one of the one or more predetermined control loop parameters with one or more alternate parameters.

12. The media of claim 9 , wherein:

the first environment is a virtual network function (VNF);

the first data received from the first environment comprises at least one of the following:

event data of the VNF; and

performance data of the VNF;

the second environment is a virtual cloud service for an entity; and

the second data comprises at least one of the following:

an internal operating condition of an entity;

personal information of the entity;

operating costs of the entity; and

security information of the entity.

13. The media of claim 9 , wherein the information is further based on at least one of the following:

a microservice;

a neural network;

artificial intelligence; and

machine learning.

14. The media of claim 9 , wherein the control loop comprises the adaptation control loop.

15. The media of claim 9 , wherein the control loop is a slave to the adaptation control loop.

16. The media of claim 9 , wherein the action comprises one or more of the following:

sending a message to a management system;

recommending a remedial measure; and

installing a software patch to a software program associated with the first environment.

17. A system comprising one or more processors and a memory coupled to the processors comprising instructions executable by the processors to:

monitor, by a control loop, a first environment, wherein the control loop comprises one or more predetermined control loop parameters;

receive, by the control loop and in response to monitoring the first environment, first data from the first environment;

receive, by the control loop, information from an adaptation control loop, wherein the information is based on:

one or more predetermined adaptation policies of the adaptation control loop; and

second data received by the adaption control loop from a second environment;

determine, by the control loop, to automatically adjust at least one of the one or more predetermined control loop parameters based at least in part on the information received from the adaptation control loop;

automatically adjust, by the control loop, the one or more predetermined control loop parameters; and

determine, by the control loop, to initiate an action based on the first data collected from the first environment and the one or more adjusted control loop parameters.

18. The system of claim 17 , wherein the one or more predetermined control loop parameters comprise at least one of the following:

a policy;

a data collection code portion; and

a threshold value.

19. The system of claim 17 , wherein automatically adjusting the one or more predetermined control loop parameters comprises one or more of the following:

adding at least one new parameter to the one or more predetermined control loop parameters;

deleting at least one of the one or more predetermined control loop parameters; and

replacing at least one of the one or more predetermined control loop parameters with one or more alternate parameters.

20. The system of claim 17 , wherein:

the first environment is a virtual network function (VNF);

the first data received from the first environment comprises at least one of the following:

event data of the VNF; and

performance data of the VNF;

the second environment is a virtual cloud service for an entity; and

the second data comprises at least one of the following:

an internal operating condition of an entity;

personal information of the entity;

operating costs of the entity; and

security information of the entity.