Abstract: The present disclosure describes methods, systems, and computer program products for retrying message delivery in a network. One computer-implemented method includes determining a retry window (RW) for one or more retry attempts to send a message to a target system, determining a minimum silent interval (MSI) representing the minimum permitted time interval between two successive retry attempts, dividing the RW into one or more time slots of N duration, randomly determining, by a hardware processor, a point-in-time within a time slot starting from the beginning time of the time slot, and sending a message as a retry attempt to the target system at the point-in-time.

Abstract: A request to deploy a next version of a software component in a cloud environment is received. An analysis of a number of dependencies among software components of the cloud environment is received. Deployment of the next version of the component is scheduled based on the analysis. The next version of the software component is deployed in the cloud environment in accordance with the scheduled deployment. The next version of the software component is quarantined until a predefined criteria is satisfied. In one aspect, the predefined criteria is defined based on error rate of the next version of the software component. In a further aspect, the predefined criteria is defined based on received analysis among the components. Upon satisfying the predefined criteria, the next version of the software component is released from the quarantine.

Abstract: The present disclosure describes methods, systems, and computer program products for retrying message delivery in a network. One computer-implemented method includes determining a retry window (RW) for one or more retry attempts to send a message to a target system, determining a minimum silent interval (MSI) representing the minimum permitted time interval between two successive retry attempts, dividing the RW into one or more time slots of N duration, randomly determining, by a hardware processor, a point-in-time within a time slot starting from the beginning time of the time slot, and sending a message as a retry attempt to the target system at the point-in-time.

Abstract: A computerized method and a system for direct deploy of static content. Static content is received at a deployment framework of an application server. The content is forwarded to a content deployment extension (CDE) for implementing the deployment of the content on the applications server. The application server operates in online mode during the deployment. The CDE selects an appropriate content handler to handle the deployment of the content. The content is deployed by the content handler on the application server in online mode. The CDE receive a feedback from the deployment of the static content.

Abstract: A request to deploy a next version of a software component in a cloud environment is received. An analysis of a number of dependencies among software components of the cloud environment is received. Deployment of the next version of the component is scheduled based on the analysis. The next version of the software component is deployed in the cloud environment in accordance with the scheduled deployment. The next version of the software component is quarantined until a predefined criteria is satisfied. In one aspect, the predefined criteria is defined based on error rate of the next version of the software component. In a further aspect, the predefined criteria is defined based on received analysis among the components. Upon satisfying the predefined criteria, the next version of the software component is released from the quarantine.

Abstract: A computerized method and a system for direct deploy of static content. Static content is received at a deployment framework of an application server. The content is forwarded to a content deployment extension (CDE) for implementing the deployment of the content on the applications server. The application server operates in online mode during the deployment. The CDE selects an appropriate content handler to handle the deployment of the content. The content is deployed by the content handler on the application server in online mode. The CDE receive a feedback from the deployment of the static content.