Orchestrator and console agnostic method to deploy infrastructure through self-describing deployment templates
A computing includes a persistent storage and a deployment manager. The persistent storage stores a deployment manifest repository. The deployment manager obtains a configuration request for a deployment. In response to obtaining the configuration request for the deployment, the deployment manager identifies, based on the deployment, manifests using the deployment manifest repository; generates a dependency graph of tasks specified in the manifests; orders the tasks using the generated dependency graph; generates a deployment script using the ordered tasks; and initiates a configuration of the deployment using the deployment script.
1. A computing device, comprising:
a persistent storage for storing a deployment manifest repository; and
a deployment manager programmed to:
obtain a configuration request for a deployment;
in response to obtaining the configuration request for the deployment:
identify, based on the deployment, a plurality of manifests using the deployment manifest repository;
generate a dependency graph of a plurality of tasks specified in the plurality of manifests;
order the plurality of tasks using the generated dependency graph;
generate a deployment script using the ordered plurality of tasks, wherein generating the deployment script using the ordered plurality of tasks comprises:
generating a constraint check subscript based on all of the tasks of the ordered plurality of tasks;
generating a plurality of task subscripts corresponding to each task of the ordered plurality of tasks using a script code library; and
associating the constraint check subscript and the plurality of task subscripts to obtain the deployment script; and
initiate a configuration of the deployment using the deployment script.
2. The computing device of claim 1 , wherein identifying the plurality of manifests based on the deployment and the deployment manifest repository comprises:
obtaining a first manifest of the manifests based on an infrastructure type of the deployment.
3. The computing device of claim 2 , wherein identifying the plurality of manifests based on the deployment further comprises:
obtaining a second manifest of the manifests based on a usage model type of the deployment.
4. The computing device of claim 3 , wherein identifying the plurality of manifests based on the deployment further comprises:
obtaining the second manifest of the manifests based on a deployment model type of the deployment.
5. The computing device of claim 1 , wherein the deployment comprises a distributed system.
6. The computing device of claim 5 , wherein the deployment further comprises a coordination point programmed to execute the deployment script.
7. The computing device of claim 1 , wherein generating the dependency graph comprises:
obtaining an identifier of a second task of the plurality of tasks from a first task of the plurality of tasks; and
in response to obtaining the identifier of the second task, adding a dependency node to the dependency graph corresponding to the first task of the plurality of tasks and orienting the dependency node toward the second task of the plurality of tasks.
8. The computing device of claim 1 , wherein the deployment manifest repository comprises:
the plurality of manifests,
wherein each manifest of the plurality of manifests is associated with a respective plurality of conditions.
9. The computing device of claim 8 , wherein the each respective plurality of conditions specifies at least one condition specified from a group of conditions consisting of an infrastructure type, a usage model type, a deployment model type, a deployment method type, and a connectivity type.
10. The computing device of claim 9 , wherein a first manifest of the plurality of manifests is associated with one condition specified from the group.
11. The computing device of claim 10 , wherein a second manifest of the plurality of manifests is associated with two conditions specified from the group.
12. The computing device of claim 11 , wherein the second manifest of the plurality of manifests is associated with three conditions specified from the group.
13. The computing device of claim 10 , wherein the deployment manifest repository further comprises:
a general manifest not associated with any conditions of the respective plurality of conditions.
14. The computing device of claim 13 , wherein the deployment script comprises:
first instructions corresponding to a first task specified by the plurality of manifests; and
second instructions corresponding to a second task specified by the general manifest.
15. The computing device of claim 13 , wherein the deployment script further comprises:
third instructions for obtaining parameters used by the first instructions from a user.
16. A method for initiating configuration of a deployment, comprising:
obtaining a configuration request for the deployment;
in response to obtaining the configuration request for the deployment:
identifying a plurality of manifests based on the deployment and a deployment manifest repository;
generating a dependency graph of a plurality of tasks of the plurality of manifests;
ordering the plurality of tasks using the generated dependency graph;
generating a deployment script using the ordered plurality of tasks, wherein generating the deployment script using the ordered plurality of tasks comprises:
generating a constraint check subscript based on all of the tasks of the ordered plurality of tasks;
generating a plurality of task subscripts corresponding to each task of the ordered plurality of tasks using a script code library; and
associating the constraint check subscript and the plurality of task subscripts to obtain the deployment script; and
initiating the configuration of the deployment using the deployment script.
17. The method of claim 16 , wherein identifying the plurality of manifests based on the deployment and the deployment manifest repository comprises:
obtaining a first manifest of the manifests based on an infrastructure type of the deployment.
18. A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method for authorizing a new configuration of user resources of a computing device, the method comprising:
obtaining a configuration request for a deployment;
in response to obtaining the configuration request for the deployment:
identifying a plurality of manifests based on the deployment and a deployment manifest repository;
generating a dependency graph of a plurality of tasks of the plurality of manifests;
ordering the plurality of tasks using the generated dependency graph;
generating a deployment script using the ordered plurality of tasks, wherein generating the deployment script using the ordered plurality of tasks comprises:
generating a constraint check subscript based on all of the tasks of the ordered plurality of tasks;
generating a plurality of task subscripts corresponding to each task of the ordered plurality of tasks using a script code library; and
associating the constraint check subscript and the plurality of task subscripts to obtain the deployment script; and
initiating a configuration of the deployment using the deployment script.
19. The non-transitory computer readable medium of claim 18 , wherein identifying the plurality of manifests based on the deployment and the deployment manifest repository comprises:
obtaining a first manifest of the manifests based on an infrastructure type of the deployment.