Abstract: Container image building using dependency container images. First dependency information that identifies a first set of dependencies necessary to generate a first application container image is accessed. A dependency container image index that identifies dependencies contained in one or more dependency container images is accessed. A first dependency container image of the one or more dependency container images is selected based on the dependency container image index and the first dependency information. The first dependency container image lacks at least one dependency identified in the first set of dependencies. A new dependency container image is generated using the first dependency container image and the at least one dependency. A new entry is stored in the dependency container image index that identifies the new dependency container image and each dependency contained in the new dependency container image.

Abstract: In one example, a system can identify application programming interface (API) object classes specified in a definition file. The definition file can be for a target API object. The system can then update an attribute field associated with the target API object to specify the API object classes. Operator software in a distributed computing environment can be configured to monitor the API object classes specified in the attribute field of the target API object and execute computing logic in response to events related to the API object classes.

Abstract: A method includes identifying, by a first instance of a service, a first number of data partitions of a data source to be processed by the service and a second number of instances of the service available to process the first number of data partitions. The method further includes separating the first number of data partitions into a first set of data partitions and a second set of data partitions in view of the second number of instances of the service, determining a target number of data partitions from the first set of data partitions to be claimed by each of the second number of instances of the service, and claiming, by the first instance of the service, the target number of data partitions from the first set of data partitions and up to one data partition from the second set of data partitions.

Abstract: A technique for differentiation controllers and reconcilers for software operators in a distributed computing environment is described herein. In one example of the present disclosure, a system can include a node of a distributed computing environment that includes a container configured to execute a controller associated with a software operator to. The controller can determine a reconciler that is associated with the container, detect an event that is associated with the reconciler, and invoke the reconciler via a selected communication protocol. The system can include the reconciler configured to process the event in response to being invoked by the controller and to provide a response associated with the event to the controller via the selected communication protocol.

Abstract: A method includes identifying, by a first instance of a service, a first number of data partitions of a data source to be processed by the service and a second number of instances of the service available to process the first number of data partitions. The method further includes separating the first number of data partitions into a first set of data partitions and a second set of data partitions in view of the second number of instances of the service, determining a target number of data partitions from the first set of data partitions to be claimed by each of the second number of instances of the service, and claiming, by the first instance of the service, the target number of data partitions from the first set of data partitions and up to one data partition from the second set of data partitions.

Abstract: A method includes identifying, by a first instance of a service, a first number of data partitions of a data source to be processed by the service and a second number of instances of the service available to process the first number of data partitions. The method further includes separating the first number of data partitions into a first set of data partitions and a second set of data partitions in view of the second number of instances of the service, determining a target number of data partitions from the first set of data partitions to be claimed by each of the second number of instances of the service, and claiming, by the first instance of the service, the target number of data partitions from the first set of data partitions and up to one data partition from the second set of data partitions.

Abstract: Ahead-of-time (AOT) and just-in-time (JIT) compilation can be combined to improve application deployment. For example, an application can be deployed in a first container for responding to requests associated with the application. The first container is configured to execute the application at least in part by performing JIT compilation. While the application is deployed within the first container, program code for the application can be compiled in a second container by performing AOT. Based on determining that AOT compilation is complete, a system can be configured to respond to subsequent requests associated with the application by executing the machine code.

Abstract: Container image building using dependency container images. First dependency information that identifies a first set of dependencies necessary to generate a first application container image is accessed. A dependency container image index that identifies dependencies contained in one or more dependency container images is accessed. A first dependency container image of the one or more dependency container images is selected based on the dependency container image index and the first dependency information. The first dependency container image lacks at least one dependency identified in the first set of dependencies. A new dependency container image is generated using the first dependency container image and the at least one dependency. A new entry is stored in the dependency container image index that identifies the new dependency container image and each dependency contained in the new dependency container image.

Abstract: Container image building using dependency container images. First dependency information that identifies a first set of dependencies necessary to generate a first application container image is accessed. A dependency container image index that identifies dependencies contained in one or more dependency container images is accessed. A first dependency container image of the one or more dependency container images is selected based on the dependency container image index and the first dependency information. The first dependency container image lacks at least one dependency identified in the first set of dependencies. A new dependency container image is generated using the first dependency container image and the at least one dependency. A new entry is stored in the dependency container image index that identifies the new dependency container image and each dependency contained in the new dependency container image.

Abstract: Ahead-of-time (AOT) and just-in-time (JIT) compilation can be combined to improve application deployment. For example, an application can be deployed in a first container for responding to requests associated with the application. The first container is configured to execute the application at least in part by performing JIT compilation. While the application is deployed within the first container, program code for the application can be compiled in a second container by performing AOT. Based on determining that AOT compilation is complete, a system can be configured to respond to subsequent requests associated with the application by executing the machine code.

Abstract: Ahead-of-time (AOT) and just-in-time (JIT) compilation can be combined to improve application deployment. For example, an application can be deployed in a first container for responding to requests associated with the application. The first container is configured to execute the application at least in part by performing JIT compilation. While the application is deployed within the first container, program code for the application can be compiled in a second container by performing AOT. Based on determining that AOT compilation is complete, a system can be configured to respond to subsequent requests associated with the application by executing the machine code.

Abstract: Container image building using dependency container images. First dependency information that identifies a first set of dependencies necessary to generate a first application container image is accessed. A dependency container image index that identifies dependencies contained in one or more dependency container images is accessed. A first dependency container image of the one or more dependency container images is selected based on the dependency container image index and the first dependency information. The first dependency container image lacks at least one dependency identified in the first set of dependencies. A new dependency container image is generated using the first dependency container image and the at least one dependency. A new entry is stored in the dependency container image index that identifies the new dependency container image and each dependency contained in the new dependency container image.

Abstract: Ahead-of-time (AOT) and just-in-time (JIT) compilation can be combined to improve application deployment. For example, an application can be deployed in a first container for responding to requests associated with the application. The first container is configured to execute the application at least in part by performing JIT compilation. While the application is deployed within the first container, program code for the application can be compiled in a second container by performing AOT. Based on determining that AOT compilation is complete, a system can be configured to respond to subsequent requests associated with the application by executing the machine code.