Abstract: Systems and methods for automated interaction with a touch-screen device are described. A system for automated interaction with a touch-screen device may include at least one optical sensor configured to sense at least a first portion of a touch-screen of the touch-screen device; at least one solenoid including an end effector that is tactilely detectable by the touch-screen, wherein operation of the at least one solenoid causes the end effector to tactilely engage with a second portion of the touch-screen; and a controller that is operatively connected to the at least one optical sensor and the at least one solenoid, and that is configured to operate the at least one solenoid in response to detecting a predetermined characteristic of the touch-screen via the at least one sensor.

Abstract: Systems and methods for automated interaction with a touch-screen device are described. A system for automated interaction with a touch-screen device may include at least one optical sensor configured to sense at least a first portion of a touch-screen of the touch-screen device; at least one solenoid including an end effector that is tactilely detectable by the touch-screen, wherein operation of the at least one solenoid causes the end effector to tactilely engage with a second portion of the touch-screen; and a controller that is operatively connected to the at least one optical sensor and the at least one solenoid, and that is configured to operate the at least one solenoid in response to detecting a predetermined characteristic of the touch-screen via the at least one sensor.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.

Abstract: Techniques are presented for managing a deployment pipeline using an inheritable and extensible source code template—generally referred to as a live pipeline template (LPT). As described, live pipeline templates may be used to manage deployment pipelines which, in turn, are used to launch, maintain, and update the services and systems used to host and provide computing services.