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US 10,120,668 B2Granted
Optimizing resource usage and automating a development and operations deployment pipeline
AssigneeVMware, Inc.
InventorsAmarnath Palavalli, Vishal Jain
Life of this patent
Estimating the term…
Abstract
Methods and systems that automate a DevOps deployment pipeline and optimize DevOps cost are described. Methods generate a deployment pipeline model based on policies associated with each deployment stage and task. Methods optimize cost of the deployment pipeline model based on model combinations of VMs. The deployment pipeline model may be executed on a cloud computing infrastructure in order to develop an application program.
Claims20
A computer-implemented method to optimize resource usage and automate a deployment pipeline that generates an application program, the computer-implemented method comprising:
- generating a deployment pipeline model comprising a plurality of deployment stages by:
- for each of the deployment stages, retrieving a development stage policy that describes resources to execute a respective one of the deployment stages;
- for each task of the respective one of the deployment stages, retrieving a task policy that describes resources to execute the task;
- generating a deployment model for the respective one of the deployment stages and the task based on the development stage policy and the task policy;
- and
- forming the deployment pipeline model by combining the deployment model generated for each of the deployment stages and the task;
- optimizing a cost of the deployment pipeline model by:
- generating a plurality of model combinations of virtual machines for potential execution of the deployment pipeline model;
- for each of the model combinations of virtual machines:
- identifying existing ones of the virtual machines that are able to be utilized and new virtual machines that are required to be created for the deployment pipeline model;
- and
- determining a cost for a respective one of the model combinations based at least in part on the existing ones of the virtual machines that are able to be utilized and the new virtual machines that are required to be created for the deployment pipeline model;
- and
- executing the deployment pipeline model on one of the model combinations of virtual machines having a lowest cost in a cloud computing infrastructure to generate and deploy the application program.
11 more elements
A system to optimize resource usage and automate a deployment pipeline that generates an application program, the system comprising:
- at least one computing device comprising memory and at least one hardware processor;
- and
- program instructions stored in the memory and executable by the at least one computing device that, when executed, direct the at least one computing device to:
- generate a deployment pipeline model comprising a plurality of deployment stages by:
- for each of the deployment stages, retrieving a development stage policy that describes resources to execute a respective one of the deployment stages;
- for each task of the respective one of the deployment stages, retrieving a task policy that describes resources to execute the task;
- generating a deployment model for the respective one of the deployment stages and the task based on the development stage policy and the task policy;
- and
- forming the deployment pipeline model by combining the deployment model generated for each of the deployment stages and the task;
- optimize a cost of the deployment pipeline model by:
- generating a plurality of model combinations of virtual machines for potential execution of the deployment pipeline model;
- for each of the model combinations of virtual machines:
- identifying existing ones of the virtual machines that are able to be utilized and new virtual machines that are required to be created for the deployment pipeline model;
- and
- determining a cost for a respective one of the model combinations based at least in part on the existing ones of the virtual machines that are able to be utilized and the new virtual machines that are required to be created for the deployment pipeline model;
- and
- execute the deployment pipeline model on one of the model combinations of virtual machines having a lowest cost in a cloud computing infrastructure to generate and deploy the application program.
14 more elements
A non-transitory computer-readable medium for optimizing resource usage and automating a deployment pipeline that generates an application program encoded with machine-readable instructions that, when executed by at least one computing device, direct the at least one computing device to:
- generate a deployment pipeline model comprising a plurality of deployment stages by:
- for each of the deployment stages, retrieving a development stage policy that describes resources to execute a respective one of the deployment stages;
- for each task of the respective one of the deployment stages, retrieving a task policy that describes resources to execute the task;
- generating a deployment model for the respective one of the deployment stages and the task based on the development stage policy and the task policy;
- and
- forming the deployment pipeline model by combining the deployment model generated for each of the deployment stages and the task;
- optimize a cost of the deployment pipeline model by:
- generating a plurality of model combinations of virtual machines for potential execution of the deployment pipeline model;
- for each of the model combinations of virtual machines:
- identifying existing ones of the virtual machines that are able to be utilized and new virtual machines that are required to be created for the deployment pipeline model;
- and
- determining a cost for a respective one of the model combinations based at least in part on the existing ones of the virtual machines that are able to be utilized and the new virtual machines that are required to be created for the deployment pipeline model;
- and
- execute the deployment pipeline model on one of the model combinations of virtual machines having a lowest cost in a cloud computing infrastructure to generate and deploy the application program.
11 more elements
Dependencies are inferred from the claim text.