Orchestration engine blueprint aspects for hybrid cloud composition

A computer-implemented method, comprising:

• learning, by a system operatively coupled to a processor, one or more blueprint-level aspects associated with information for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform;
• altering, by the system, a first resource within a blueprint to a second resource within the blueprint based on an estimated risk level associated with the first resource, and wherein the estimated risk level is a scalar value;
• and
• generating, by the system, a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects, wherein the set of resource definitions comprises definitions to facilitate auto-scaling associated with the cloud-based computing platform, wherein the auto-scaling comprises schedule-based scaling associated with an expected increase in data traffic associated with the cloud-based computing platform;
• and
• modifying, by the system, a blueprint associated with the cloud-based computing platform based on the set of resource definitions, wherein the modifying comprises inserting the set of resource definitions into the blueprint to generate the modified blueprint that includes the set of resource definitions and the blueprint-level aspects.

A computer program product facilitating an orchestration engine process, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

• learn, by the processor, one or more blueprint-level aspects associated with a blueprint for one or more computing resources of a cloud-based computing platform based on historical data associated with the cloud-based computing platform, wherein at least one of the one or more blueprint-level aspects comprises a notification aspect that:
• tracks alarm configurations associated with the cloud-based computing platform;
• and
• sets one or more alarms for metric data associated with the cloud-based computing platform;
• alter, by the processor, a first resource within a blueprint to a second resource within the blueprint based on an estimated risk level associated with the first resource, and wherein the estimated risk level is a scalar value;
• and
• determine, by the processor, a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects;
• and
• generate, by the processor, a modified blueprint for the cloud-based computing based on the set of resource definitions.

A system, comprising:

• a memory that stores computer executable components;
• a processor that executes computer executable components stored in the memory, wherein the computer executable components comprise:
• a computing resource component that modifies one or more first computing resources for a cloud-based computing platform to generate one or more second computing resources for the cloud-based computing platform;
• a learning component that:
• learns one or more blueprint-level aspects associated with information for the one or more computing resources based on historical data associated with the cloud-based computing platform, wherein at least of the one or more blueprint-level aspects comprise a notification aspect that:
• accesses one or more statistics associated with the cloud-based computing platform;
• and
• facilitates an automated action based on a state of the cloud-based computing program;
• alters a first resource within a blueprint to a second resource within the blueprint based on a predicted value associated with the second resource;
• and
• a hybrid cloud composition component that generates a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects, and modifies a blueprint associated with the cloud-based computing platform based on the set of resource definitions.

A computer-implemented method, comprising:

• generating, by a system operatively coupled to a processor, one or more computing resources for a cloud-based computing platform by modifying a previous version of the one or more computing resources;
• learning, by the system, one or more blueprint-level aspects associated with information for the one or more computing resources based on historical data associated with a second cloud-based computing platform that is different from the cloud-based computing platform;
• alter, by the system, a first resource within a blueprint to a second resource within the blueprint based on a predicted value associated with the second resource and the historical data;
• and
• generating, by the system, a set of resource definitions for the cloud-based computing platform based on the one or more blueprint-level aspects;
• and
• modifying, by the system, a blueprint associated with the cloud-based computing platform based on the set of resource definitions.