Methods and apparatus to generate code as a plug-in in a cloud computing environment
Methods, apparatus, systems, and articles of manufacture are disclosed to generate code as a plug-in in a cloud computing environment. An example system includes at least one memory, programmable circuitry, and machine readable instructions to program the programmable circuitry to introspect code in a library to obtain introspection data, the library corresponding to a resource that is to be deployed in a cloud infrastructure environment, generate a model based on the introspection data, the model to be a representation of the resource, cross-reference the model with a resource meta-model, the resource meta-model to map characteristics of the resource represented by the model to an actual state of the resource, and generate a plug-in based on the cross-referenced model.
1. A system comprising:
a memory;
programmable circuitry; and
machine readable instructions to program the programmable circuitry to:
process code to obtain introspection data, the code being associated with a resource deployed in a cloud environment;
generate a model based on the introspection data, the model being a representation of the resource;
process metadata from a configuration file corresponding to the resource to supplement the model;
cross-reference the model with a resource meta-model; and
generate a plug-in based on the cross-referenced model.
2. The system of claim 1 , wherein the resource meta-model to map characteristics of the resource is represented by the model to a state of the resource.
3. The system of claim 1 , wherein the programmable circuitry is to:
execute the code; and
identify a syntax error in the code.
4. The system of claim 3 , wherein the programmable circuitry is to correct the syntax error before generation of the model.
5. The system of claim 1 , wherein the programmable circuitry is to:
obtain a request to modify the cross-referenced model; and
apply the modification to the cross-referenced model.
6. The system of claim 5 , wherein the modification comprises an override of a state of the resource.
7. The system of claim 1 , wherein the programmable circuitry is to utilize a tree traversal algorithm to introspect the code and generate a representation of the code.
8. A non-transitory machine readable storage medium comprising instructions to cause programmable circuitry to at least:
process code to obtain introspection data, the code being associated with a resource deployed in a cloud environment;
generate a model based on the introspection data, the model being a representation of the resource;
process metadata from a configuration file corresponding to the resource to supplement the model;
cross-reference the model with a resource meta-model; and
generate a plug-in based on the cross-referenced model.
9. The non-transitory machine readable storage medium of claim 8 , wherein the resource meta-model to map characteristics of the resource is represented by the model to a state of the resource.
10. The non-transitory machine readable storage medium of claim 8 , wherein the instructions are to cause the programmable circuitry to:
execute the code to introspect the code; and
identify a syntax error in the code.
11. The non-transitory machine readable storage medium of claim 10 , wherein the instructions are to cause the programmable circuitry to correct the syntax error before generation of the model.
12. The non-transitory machine readable storage medium of claim 8 , wherein the instructions are to cause the programmable circuitry to:
obtain a request to modify the cross-referenced model; and
apply the modification to the cross-referenced model.
13. The non-transitory machine readable storage medium of claim 12 , wherein the modification is an override of a state of the resource.
14. The non-transitory machine readable storage medium of claim 8 , wherein the instructions are to cause the programmable circuitry to execute a tree traversal algorithm to introspect the code and generate a representation of the code.
15. A method comprising:
processing code to obtain introspection data, the code being associated with a resource deployed in a cloud environment;
generating a model based on the introspection data, the model being a representation of the resource;
processing metadata from a configuration file corresponding to the resource to supplement the model;
cross-referencing the model with a resource meta-model; and
generating a plug-in based on the cross-referenced model.
16. The method of claim 15 , wherein the resource meta-model to map characteristics of the resource is represented by the model to a state of the resource.
17. The method of claim 15 , further including:
executing the code to introspect the code; and
identifying a syntax error in the code.
18. The method of claim 17 , further including correcting the syntax error before generation of the model.
19. The method of claim 15 , further including:
obtaining a request to modify the cross-referenced model; and
applying the modification to the cross-referenced model.
20. The method of claim 19 , wherein the modification is an override of a state of the resource.