Autonomic management of multi-site cloud infrastructure

1. A method of managing an application workload on a computer system, the computer system comprising a plurality of data centers that includes a first data center and a second data center, the workload comprising a plurality of application instances, the plurality of application instances comprising first application instances running on the first data center and second application instances running on the second data center, the method comprising:

collecting first data of the workload from the first data center and storing the first data on storage of the first data center, wherein the first data comprises usage data of first application instances;

collecting second data of the workload from the second data center and storing the second data on storage of the second data center, wherein the second data comprises usage data of second application instances;

combining the first data and second data into combined data;

evaluating the combined data to determine presence of a low health indicator in at least one instance of the plurality of application instances, wherein the low health indicator comprises an indicator of unresponsiveness to protocol calls by the at least one instance;

responsive to determining presence of the low health indicator, restarting the at least one instance or creating a first new application instance to replace the at least one instance;

evaluating the combined data to determine whether to increase a size of the application workload, and determining whether to increase the size of the application workload;

responsive to a determination to increase the size of the application workload, determining in which of the plurality of data centers of the computer system to place a second new application instance; and

upon determining a chosen data center from among the plurality of data centers, contacting a component local to the chosen data center to place the second new application instance within a host machine of the chosen data center.

2. The method of claim 1 , wherein the determining in which of the plurality of data centers to place the second new application instance comprises:

obtaining a list of the data centers within the computer system;

removing from the list one or more data centers onto which the second new application instance cannot be placed;

ranking remaining data centers on the list according to parameters of the application workload; and

choosing the data center to place the second new application instance from the ranked list.

3. The method of claim 1 , the method further comprising:

evaluating the combined data to predict future demand for the workload, and creating the predictions; and

wherein the determining whether to increase the size of the application workload is at least partially based on evaluating the predictions.

4. The method of claim 1 , wherein the combined data comprises data on resources used and available to hosts and virtual computing instances (VCIs) on the first data center.

5. The method of claim 1 , the method further comprising evaluating the combined data and responsive to the evaluation, deleting at least one instance of the plurality of instances.

6. The method of claim 1 , wherein the first data center is a software defined data center (SDDC).

7. A non-transitory computer readable medium comprising instructions to be executed in a processor of a computer system, the instructions when executed in the processor cause the computer system to carry out a method of managing an application workload on a computer system, the computer system comprising a plurality of data centers that includes a first data center and a second data center, the workload comprising a plurality of application instances, the plurality of application instances comprising first application instances running on the first data center and second application instances running on the second data center, the method comprising:

collecting first data of the workload from the first data center and storing the first data on storage of the first data center, wherein the first data comprises usage data of first application instances;

collecting second data of the workload from the second data center and storing the second data on storage of the second data center, wherein the second data comprises usage data of second application instances;

combining the first data and second data into combined data;

evaluating the combined data to determine presence of a low health indicator in at least one instance of the plurality of application instances, wherein the low health indicator comprises an indicator of unresponsiveness to protocol calls by the at least one instance;

responsive to determining presence of the low health indicator, restarting the at least one instance or creating a first new application instance to replace the at least one instance;

evaluating the combined data to determine whether to increase a size of the application workload, and determining whether to increase the size of the application workload;

responsive to a determination to increase the size of the application workload, determining in which of the plurality of data centers of the computer system to place a second new application instance; and

upon determining a chosen data center from among the plurality of data centers, contacting a component local to the chosen data center to place the second new application instance within a host machine of the chosen data center.

8. The non-transitory computer readable medium of claim 7 , wherein the determining in which of the plurality of data centers to place the second new application instance comprises:

obtaining a list of the data centers within the computer system;

removing from the list one or more data centers onto which the second new application instance cannot be placed;

ranking remaining data centers on the list according to parameters of the application workload; and

choosing the data center to place the second new application instance from the ranked list.

9. The non-transitory computer readable medium of claim 7 , the method further comprising:

evaluating the combined data to predict future demand for the workload, and creating the predictions; and

wherein the determining whether to increase the size of the application workload is at least partially based on evaluating the predictions.

10. The non-transitory computer readable medium of claim 7 , wherein the combined data comprises data on resources used and available to hosts and virtual computing instances (VCIs) on the first data center.

11. The non-transitory computer readable medium of claim 7 , the method further comprising evaluating the combined data and responsive to the evaluation, deleting at least one instance of the plurality of instances.

12. The non-transitory computer readable medium of claim 7 , wherein the first data center is a software defined data center (SDDC).

13. A computer system comprising:

a plurality of data centers that includes a first data center and a second data center;

a workload comprising a plurality of application instances, the plurality of application instances comprising first application instances running on the first data center and second application instances running on the second data center; and

at least one processor, wherein the at least one processor is programmed to carry out a method of managing an application workload on the computer system, the method comprising:

collecting first data of the workload from the first data center and storing the first data on storage of the first data center, wherein the first data comprises usage data of the first application instances;

collecting second data of the workload from the second data center and storing the second data on storage of the second data center, wherein the second data comprises usage data of the second application instances;

combining the first data and second data into combined data;

evaluating the combined data to determine presence of a low health indicator in at least one instance of the plurality of application instances, wherein the low health indicator comprises an indicator of unresponsiveness to protocol calls by the at least one instance;

responsive to determining presence of the low health indicator, restarting the at least one instance or creating a first new application instance to replace the at least one instance;

evaluating the combined data to determine whether to increase a size of the application workload, and determining whether to increase the size of the application workload;

responsive to a determination to increase the size of the application workload, determining in which of the plurality of data centers of the computer system to place a second new application instance; and

upon determining a chosen data center from among the plurality of data centers, contacting a component local to the chosen data center to place the second new application instance within a host machine of the chosen data center.

14. The computer system of claim 13 , wherein the determining in which of the plurality of data centers to place the second new application instance comprises:

obtaining a list of the data centers within the computer system;

removing from the list one or more data centers onto which the second new application instance cannot be placed;

ranking remaining data centers on the list according to parameters of the application workload; and

choosing the data center to place the second new application instance from the ranked list.

15. The computer system of claim 13 , the method further comprising:

evaluating the combined data to predict future demand for the workload, and creating the predictions; and

wherein the determining whether to increase the size of the application workload is at least partially based on evaluating the predictions.

16. The computer system of claim 13 , wherein the combined data comprises data on resources used and available to hosts and virtual computing instances (VCIs) on the first data center.

17. The computer system of claim 13 , the method further comprising evaluating the combined data and responsive to the evaluation, deleting at least one instance of the plurality of instances.