Computer-based multi-cloud environment management

1. A computer-implemented for managing resources in a multi-cloud computing environment, the computer-implemented method comprising:

executing provisioning and rerouting mechanisms to maintain continuity in the multi-cloud computing environment despite changes to one or more predetermined factors or an identified problem;

predicting a future need of a system based on collected data and the executed provision and rerouting mechanisms;

analyzing use history within the multi-cloud computing environment;

identifying one or more solutions to address the future needs of the system based on the analysis of the use history; and

proactively and autonomously implementing the one or more identified solutions based one or more predetermined criteria in the multi-cloud computing environment.

2. The computer-implemented method of claim 1 , further comprising:

generating a list of identified solutions to prevent or remedy the identified future needs of the system, wherein the identified list is a weighted list that prioritizes the one or more identified solutions based on a predetermined measurement or weight.

3. The computer-implemented method of claim 2 , further comprising:

displaying the generated list of identified solutions to a user, wherein the generated list of identified solutions is displayed as a responsive prompt.

4. The computer-implemented method of claim 1 , further comprising:

identifying an optimize route to implement the identified solutions; and

selecting the optimize route to implement in the system.

5. The computer-implemented method of claim 1 , further comprising:

re-routing a provisioned artefact and the collected data to a newly provisioned cluster in a safe zone.

6. The computer-implemented method of claim 1 , wherein predicting the future need of the system further comprises:

deploying additional resources on environments proactively to fulfil the identified future needs.

7. The computer-implemented method of claim 1 , further comprising:

automating rerouting of traffic based on machine learning artificial intelligence (AI) with data from predetermined sources, wherein the predetermined sources comprise: system traffic, compute, environment, weather, and security; and

auto-provisioning components of a SaaS based on the machine learning AI and the data from the predetermined sources.

8. A computer system for managing resources in a multi-cloud computing environment, the computer system comprising:

one or more computer processors;

one or more computer readable storage devices; and

program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising:

program instructions to execute provisioning and rerouting mechanisms to maintain continuity in the multi-cloud computing environment despite changes to one or more predetermined factors or an identified problem;

program instructions to predict a future need of a system based on collected data and the executed provision and rerouting mechanisms;

program instructions to analyze use history within the multi-cloud computing environment;

program instructions to identify one or more solutions to address the future needs of the system based on the analysis of the use history; and

program instructions to proactively and autonomously implement the one or more identified solutions based one or more predetermined criteria in the multi-cloud computing environment.

9. The computer system of claim 8 , further comprising:

program instructions to generate a list of identified solutions to prevent or remedy the identified future needs of the system, wherein the identified list is a weighted list that prioritizes the one or more identified solutions based on a predetermined measurement or weight.

10. The computer system of claim 9 , further comprising:

program instructions to display the generated list of identified solutions to a user, wherein the generated list of identified solutions is displayed as a responsive prompt.

11. The computer system of claim 8 , further comprising:

program instructions to identify an optimize route to implement the identified solutions; and

program instructions to select the optimize route to implement in the system.

12. The computer system of claim 8 , further comprising:

program instructions to re-route a provisioned artefact and the collected data to a newly provisioned cluster in a safe zone.

13. The computer system of claim 8 , wherein the program instructions to predict the future need of the system further comprises:

program instructions to deploy additional resources on environments proactively to fulfil the identified future needs.

14. The computer system of claim 8 , further comprising:

program instructions to automate a rerouting of traffic based on machine learning artificial intelligence (AI) with data from predetermined sources, wherein the predetermined sources comprise: system traffic, compute, environment, weather, and security; and

program instructions to auto-provision components of an on-demand software based on the machine learning AI and the data from the predetermined sources.

15. A computer program product for managing resources in a multi-cloud computing environment, the computer program product comprising:

one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising:

program instructions to execute provisioning and rerouting mechanisms to maintain continuity in the multi-cloud computing environment despite changes to one or more predetermined factors or an identified problem;

program instructions to predict a future need of a system based on collected data and the executed provision and rerouting mechanisms;

program instructions to analyze use history within the multi-cloud computing environment;

program instructions to identify one or more solutions to address the future needs of the system based on the analysis of use history; and

program instructions to proactively and autonomously implement the one or more identified solutions based one or more predetermined criteria in the multi-cloud computing environment.

16. The computer program product of claim 15 , further comprising:

program instructions to generate a list of identified solutions to prevent or remedy the identified future needs of the system, wherein the identified list is a weighted list that prioritizes the one or more identified solutions based on a predetermined measurement or weight; and

program instructions to display the generated list of identified solutions to a user, wherein the generated list of identified solutions is displayed as a responsive prompt.

17. The computer program product of claim 15 , further comprising:

program instructions to identify an optimize route to implement the identified solutions; and

program instructions to select the optimize route to implement in the system.

18. The computer program product of claim 15 , further comprising:

program instructions to provision one or more resources, based on the analysis, for a predetermined time prior to the implementation so as to address one or more forthcoming challenges associated with the future need of the system.

19. The computer program product of claim 15 , wherein the program instructions to predict the future need of the system further comprises:

program instructions to deploy additional resources on environments proactively to fulfil the identified future needs.

20. The computer program product of claim 15 , further comprising:

program instructions to automate a rerouting of traffic based on machine learning artificial intelligence (AI) with data from predetermined sources, wherein the predetermined sources comprise: system traffic, compute, environment, weather, and security; and

program instructions to auto-provision components of an on-demand software based on the machine learning AI and the data from the predetermined sources.