Systems, devices, and methods for deploying one or more artifacts to a deployment environment
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06F-008/60
G06Q-010/06
G06F-008/71
출원번호
US-0384171
(2016-12-19)
등록번호
US-10228925
(2019-03-12)
발명자
/ 주소
Koshkin, Yuriy
Hansmann, Will
Heilman, Ben
Stock, Colleen
Johnson, Tod
Zernoveanu, Andrei
출원인 / 주소
Uptake Technologies, Inc.
대리인 / 주소
Lee Sullivan Shea & Smith LLP
인용정보
피인용 횟수 :
0인용 특허 :
91
초록▼
A deployment system includes a plurality of deployment environments, a change-control server, and a deployment orchestrator. Each deployment environment carries out a given phase of a deployment process for a set of artifacts. The change-control server maintains branches that correspond to respectiv
A deployment system includes a plurality of deployment environments, a change-control server, and a deployment orchestrator. Each deployment environment carries out a given phase of a deployment process for a set of artifacts. The change-control server maintains branches that correspond to respective deployment environments and that store artifacts that have been deployed to the respective deployment environments. A manifest contains a given set of artifacts stored by the change-control server, and each branch may contain multiple versions of a manifest associated with that branch. Upon creation of a new manifest version on the change-control server, the deployment orchestrator detects the presence of the new manifest version and responsively determine the differences between (i) artifacts contained in the new manifest version and (ii) artifacts deployed to a given deployment environment. Based on the determined differences, the deployment orchestrator causes one or more artifacts to be deployed to the given deployment environment.
대표청구항▼
1. A computer system comprising: a network interface configured to facilitate communications over a communication network with (i) at least two different types of deployment environments and (ii) a change-control server comprising a plurality of branches for storing manifests, wherein the plurality
1. A computer system comprising: a network interface configured to facilitate communications over a communication network with (i) at least two different types of deployment environments and (ii) a change-control server comprising a plurality of branches for storing manifests, wherein the plurality of branches includes at least one branch that corresponds to each of the at least two different types of deployment environments;at least one processor;a non-transitory computer-readable medium; andprogram instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to perform the following functions for each of the plurality of branches of the change-control server: monitor a respective branch of the change-control server for an updated version of a given manifest stored on the respective branch, wherein the respective branch corresponds to a respective type of deployment environment;while monitoring the respective branch, detect an updated version of the given manifest stored on the respective branch, wherein the updated version of the given manifest contains a first set of artifacts;identify at least one artifact that differs between (i) the first set of artifacts contained in the updated version of the given manifest and (ii) a second set of artifacts being deployed at the respective type of deployment environment; andin response to identifying the at least one artifact that differs between the first and second sets of artifacts, cause the identified at least one artifact to be deployed to the respective type of deployment environment. 2. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to identify the at least one artifact that differs between the first and second sets of artifacts comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to identify at least one artifact that is in the first set but not in the second set. 3. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to identify the at least one artifact that differs between the first and second sets of artifacts comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to identify at least one artifact that is in the second set but not in the first set, and wherein the computer system further comprises program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to cause the identified at least one artifact to be undeployed from the respective type of deployment environment. 4. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to cause the identified at least one artifact to be deployed to the respective type of deployment environment comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to provide the identified at least one artifact to the respective type of deployment environment. 5. The computer system of claim 4, wherein the program instructions that are executable to cause the computing system to provide the identified at least one artifact to the respective type of deployment environment comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to obtain the identified at least one artifact from the change-control server and provide the obtained at least one artifact to the respective type of deployment environment. 6. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to cause the identified at least one artifact to be deployed to the respective type of deployment environment comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to cause the respective type of deployment environment to begin execution of the identified at least one artifact. 7. The computer system of claim 1, wherein each artifact in the first set of artifacts contained in the updated version of the given manifest is executable without any additional compilation. 8. The computer system of claim 1, wherein each of the plurality of branches of the change-control server is associated with a respective phase of a software deployment process. 9. The computer system of claim 8, wherein each of the at least two different types of deployment environments corresponds to a respective phase of the software deployment process. 10. The computer system of claim 1, wherein the updated version of the given manifest further comprises environment data for at least the respective type of deployment environment, and wherein the program instructions that are executable to cause the computing system to cause the identified at least one artifact to be deployed to the respective type of deployment environment comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to: cause the identified at least one artifact to use the environment data for the respective type of deployment data. 11. The computer system of claim 10, wherein the environment data comprises at least one of: a database Uniform Resource Locator (URL), an Application Programming Interface (API) URL, a Virtual Private Cloud (VPC) identifier, and a security group definition. 12. The computer system of claim 1, wherein the updated version of the given manifest further comprises artifact-deployment data for the identified at least one artifact, and wherein the program instructions that are executable to cause the computing system to cause the identified at least one artifact to be deployed to the respective type of deployment environment comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to: cause the respective type of deployment environment to use the artifact-deployment data to deploy the identified at least one artifact. 13. The computer system of claim 12, wherein the artifact-deployment data comprises at least one of: data that defines the identified at least one artifact, data regarding scaling for the identified at least one artifact, and data regarding health checks for the identified at least one artifact. 14. The computer system of claim 1, wherein there are multiple versions of the given manifest stored on the respective branch, and wherein the updated version of the given manifest comprises a most-recent version of the given manifest stored on the respective branch. 15. The computer system of claim 14, wherein first set of artifacts contained in the most-recent version of the given manifest is different from a third set of artifacts contained in a prior version of the given manifest. 16. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to monitor the respective branch of the change-control server for an updated version of the given manifest comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to periodically query the change-control server for an updated version of the given manifest. 17. The computer system of claim 1, wherein the program instructions that are executable to cause the computing system to monitor the respective branch of the change-control server for an updated version of the given manifest comprise program instructions stored on the non-transitory computer-readable medium that are executable by the at least one processor to cause the computing system to query the change-control server for an updated version of the given manifest in response to receiving a query request from a client device. 18. The computer system of claim 1, wherein the first set of artifacts contained in the updated version of the given manifest comprise Docker containers, Java ARchive (JAR) files, Web application ARchive (WAR) files, Apache Spark executables, or Chef scripts. 19. A computer-implemented method for orchestrating the deployment of artifacts to at least two different types of deployment environments based on a change-control server comprising a plurality of branches for storing manifests, wherein the plurality of branches includes at least one branch that corresponds to each of the at least two different types of deployment environments, the method comprising the following functions for each of the plurality of branches of the change-control server: monitoring a respective branch of the change-control server for an updated version of a given manifest stored on the respective branch, wherein the respective branch corresponds to a respective type of deployment environment;while monitoring the respective branch, detecting an updated version of the given manifest stored on the respective branch, wherein the updated version of the given manifest contains a first set of artifacts;identifying at least one artifact that differs between (i) the first set of artifacts contained in the updated version of the given manifest and (ii) a second set of artifacts being deployed at the respective type of deployment environment; andin response to identifying the at least one artifact that differs between the first and second sets of artifacts, causing the identified at least one artifact to be deployed to the respective type of deployment environment. 20. A non-transitory computer-readable medium having program instructions stored thereon that are executable to cause a computing device to orchestrate the deployment of artifacts to at least two different types of deployment environments based on a change-control server comprising a plurality of branches for storing manifests, wherein the plurality of branches includes at least one branch that corresponds to each of the at least two different types of deployment environments by performing the following functions for each of the plurality of branches of the change-control server: monitor a respective branch of the change-control server for an updated version of a given manifest stored on the respective branch, wherein the respective branch corresponds to a respective type of deployment environment;while monitoring the respective branch, detect an updated version of the given manifest stored on the respective branch, wherein the updated version of the given manifest contains a first set of artifacts;identifying at least one artifact that differs between (i) the first set of artifacts contained in the updated version of the given manifest and (ii) a second set of artifacts being deployed at the respective type of deployment environment; andin response to identifying the at least one artifact that differs between the first and second sets of artifacts, cause the identified at least one artifact to be deployed to the respective type of deployment environment.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (91)
Wegerich,Stephan W.; Bell,David R.; Xu,Xiao, Adaptive modeling of changed states in predictive condition monitoring.
Jammu, Vinay Bhaskar; Schneider, William Roy; Bliley, Richard Gerald; Varma, Anil; Roddy, Nicholas Edward, Analyzing fault logs and continuous data for diagnostics for a locomotive.
Wegerich, Stephan W.; Wolosewicz, Andre; Xu, Xiao; Herzog, James P.; Pipke, Robert Matthew, Automated model configuration and deployment system for equipment health monitoring.
Meek, Christopher A.; Heckerman, David E.; Rounthwaite, Robert L.; Chickering, David Maxwell; Thiesson, Bo, Bayesian approach for learning regression decision graph models and regression models for time series analysis.
Vipin Kewal Ramani ; Rasiklal Punjalal Shah ; Ramesh Ramachandran ; Piero Patrone Bonissone ; Yu-To Chen ; Phillip Edward Steen ; John Andrew Johnson, Diagnostic system with learning capabilities.
Bankert Raymond J. (Clifton Park NY) Imam Imdad (Schenectady NY) Rajiyah Harindra (Clifton Park NY), Integrated model-based reasoning/expert system diagnosis for rotating machinery.
Wang Hsu-Pin (Tallahassee FL) Huang Hsin-Hao (Kaohsiung TWX) Knapp Gerald M. (Baton Rouge LA) Lin Chang-Ching (Tallahassee FL) Lin Shui-Shun (Tallahassee FL) Spoerre Julie K. (Tallahassee FL), Machine fault diagnostics system and method.
David Richard Gibson ; Nicholas Edward Roddy ; Anil Varma, Method and system for analyzing fault and snapshot operational parameter data for diagnostics of machine malfunctions.
Yanosik, Jr., Edward Michael; Clifford, William Larson; Horejs, Timothy James; Yanosik, Ann Marie, Method and system for assessing adjustment factors in testing or monitoring process.
Subbu, Rajesh V.; Bonissone, Piero P.; Eklund, Neil H.; Iyer, Naresh S.; Shah, Rasiklal P.; Yan, Weizhong; Knodle, Chad E.; Schmid, James J., Method and system for performing model-based multi-objective asset optimization and decision-making.
Fera, Gregory J.; McQuown, Christopher M.; Reichenbach, Bryan S.; Wisniewski, Edward P., Method and system for sorting incident log data from a plurality of machines.
Bliley, Richard G.; Roddy, Nicholas E., Process and system for analyzing fault log data from a machine so as to identify faults predictive of machine failures.
Bonissone, Piero Patrone; Hershey, John Erik; Mitchell, Jr., Robert James; Subbu, Jr., Rajesh Venkat; Taware, Avinash Vinayak; Hu, Xiao, System and method for advanced condition monitoring of an asset system.
Subbu, Rajesh Venkat; Hershey, John Erik; Hu, Xiao; Mitchell, Jr., Robert James; Taware, Avinash Vinayak; Bonissone, Piero Patrone, System and method for advanced condition monitoring of an asset system.
Bonissone, Piero Patrone; Xue, Feng; Varma, Anil; Goebel, Kai Frank; Yan, Weizhong; Eklund, Neil Holger White, System and method for equipment remaining life estimation.
Goebel, Kai Frank; Bonissone, Piero Patrone; Yan, Weizhong; Eklund, Neil Holger White; Xue, Feng, System and method for equipment remaining life estimation.
Rasiklal Punjalal Shah ; Vipin Kewal Ramani ; Susan Teeter Wallenslager ; Christopher James Dailey, System and method for integrating a plurality of diagnostic related information.
Wegerich, Stephan W.; Wilks, Alan D.; Wolosewicz, Andre, System for extraction of representative data for training of adaptive process monitoring equipment.
Kasztenny, Bogdan Z.; Sollecito, Lawrence A.; Mazereeuw, Jeffrey G.; Mao, Zhihong, Systems and methods for predicting maintenance of intelligent electronic devices.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.