Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure relates to managing resource utilization in cloud service infrastructure. A device can monitor the cloud service. The cloud service can be configured with an automatic scaling function based on a threshold. The device can determine, based on the monitoring, that a utilization value of the cloud service during a time interval exceeds the threshold. The device can generate, using a policy based on the utilization value and the threshold, an instruction to disable the automatic scaling function of the cloud service by the one or more servers. The device can transmit the instruction to the one or more servers via a second cloud application programming interface. The device can generate, responsive to the policy, a service ticket data structure with an indication of the utilization value and the time interval. The device can provide the service ticket data structure to an electronic board.

Abstract: The present disclosure relates to managing resource utilization in cloud service infrastructure. A device can monitor the cloud service. The cloud service can be configured with an automatic scaling function based on a threshold. The device can determine, based on the monitoring, that a utilization value of the cloud service during a time interval exceeds the threshold. The device can generate, using a policy based on the utilization value and the threshold, an instruction to disable the automatic scaling function of the cloud service by the one or more servers. The device can transmit the instruction to the one or more servers via a second cloud application programming interface. The device can generate, responsive to the policy, a service ticket data structure with an indication of the utilization value and the time interval. The device can provide the service ticket data structure to an electronic board.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: The present disclosure relates to managing resource utilization in cloud service infrastructure. A device can monitor the cloud service. The cloud service can be configured with an automatic scaling function based on a threshold. The device can determine, based on the monitoring, that a utilization value of the cloud service during a time interval exceeds the threshold. The device can generate, using a policy based on the utilization value and the threshold, an instruction to disable the automatic scaling function of the cloud service by the one or more servers. The device can transmit the instruction to the one or more servers via a second cloud application programming interface. The device can generate, responsive to the policy, a service ticket data structure with an indication of the utilization value and the time interval. The device can provide the service ticket data structure to an electronic board.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

Abstract: Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.