Abstract: A system including: one or more processors; a memory storing computer program code that controls the one or more processors to: receive usage metrics associated with a first application; determine whether the first application comprises a cyclic usage pattern, a batch usage pattern, or a non-cyclic usage pattern; select a scaling technique based on the determination; and automatically scale the first application with the selected scaling technique. The system may determine that at least one virtual machine should be added to a first plurality of virtual machines in response to a resource usage of an application exceeding a maximum usage allocation and determine that at least one virtual machine should be removed to the first plurality of virtual machines in response to a minimum usage allocation exceeding the resource usage of the first plurality of virtual machine instances.

Abstract: A system including: one or more processors; a memory storing computer program code that controls the one or more processors to: receive usage metrics associated with a first application; determine whether the first application comprises a cyclic usage pattern, a batch usage pattern, or a non-cyclic usage pattern; select a scaling technique based on the determination; and automatically scale the first application with the selected scaling technique. The system may determine that at least one virtual machine should be added to a first plurality of virtual machines in response to a resource usage of an application exceeding a maximum usage allocation and determine that at least one virtual machine should be removed to the first plurality of virtual machines in response to a minimum usage allocation exceeding the resource usage of the first plurality of virtual machine instances.

Abstract: Disclosed embodiments may include a system for tracing cloud service costs. The system may receive data corresponding to a first node cluster, the first node cluster indicative of a plurality of cloud services utilized by one or more users. The system may extract metrics associated with the plurality of cloud services. The system may determine a relationship between each cloud service of the plurality of cloud services based on the metrics. The system may determine one or more costs associated with the first node cluster, the one or more costs based on the relationship. The system may determine whether the first node cluster is utilized within a predetermined threshold. Responsive to determining the first node cluster is not utilized within the predetermined threshold, the system may automatically conduct one or more actions associated with the one or more costs.

Abstract: A system including: one or more processors; a memory storing computer program code that controls the one or more processors to: receive usage metrics associated with a first application; determine whether the first application comprises a cyclic usage pattern, a batch usage pattern, or a non-cyclic usage pattern; select a scaling technique based on the determination; and automatically scale the first application with the selected scaling technique. The system may determine that at least one virtual machine should be added to a first plurality of virtual machines in response to a resource usage of an application exceeding a maximum usage allocation and determine that at least one virtual machine should be removed to the first plurality of virtual machines in response to a minimum usage allocation exceeding the resource usage of the first plurality of virtual machine instances.

Abstract: Disclosed herein are systems, products, and/or methods for determining a dependency between a task and a hardware component executing the task. The method may include: accessing an execution log storing information related to a plurality of tasks, each task of the plurality of tasks being executed by a respective computing device of a plurality of computing devices distributed across a network architecture; identifying a task of the plurality of tasks to obtain application layer information of the identified task; determining which respective computing device executed the identified task to obtain network layer information of the respective computing device; generating a dependency map illustrating a relationship between the identified task and the respective computing device that executed the identified task, the relationship including the application layer information and the network layer information; and displaying, using an interactive graphical user interface (GUI) on a user device, the dependency map.

Abstract: A system including: one or more processors; a memory storing computer program code that controls the one or more processors to: receive usage metrics associated with a first application; determine whether the first application comprises a cyclic usage pattern, a batch usage pattern, or a non-cyclic usage pattern; select a scaling technique based on the determination; and automatically scale the first application with the selected scaling technique. The system may determine that at least one virtual machine should be added to a first plurality of virtual machines in response to a resource usage of an application exceeding a maximum usage allocation and determine that at least one virtual machine should be removed to the first plurality of virtual machines in response to a minimum usage allocation exceeding the resource usage of the first plurality of virtual machine instances.

Abstract: Disclosed herein are systems, products, and/or methods for determining a dependency between a task and a hardware component executing the task. The method may include: accessing an execution log storing information related to a plurality of tasks, each task of the plurality of tasks being executed by a respective computing device of a plurality of computing devices distributed across a network architecture; identifying a task of the plurality of tasks to obtain application layer information of the identified task; determining which respective computing device executed the identified task to obtain network layer information of the respective computing device; generating a dependency map illustrating a relationship between the identified task and the respective computing device that executed the identified task, the relationship including the application layer information and the network layer information; and displaying, using an interactive graphical user interface (GUI) on a user device, the dependency map.

Abstract: Disclosed herein are systems, products, and/or methods for determining a dependency between a task and a hardware component executing the task. The method may include: accessing an execution log storing information related to a plurality of tasks, each task of the plurality of tasks being executed by a respective computing device of a plurality of computing devices distributed across a network architecture; identifying a task of the plurality of tasks to obtain application layer information of the identified task; determining which respective computing device executed the identified task to obtain network layer information of the respective computing device; generating a dependency map illustrating a relationship between the identified task and the respective computing device that executed the identified task, the relationship including the application layer information and the network layer information; and displaying, using an interactive graphical user interface (GUI) on a user device, the dependency map.

Abstract: Disclosed herein are systems, products, and/or methods for determining a dependency between a task and a hardware component executing the task. The method may include: accessing an execution log storing information related to a plurality of tasks, each task of the plurality of tasks being executed by a respective computing device of a plurality of computing devices distributed across a network architecture; identifying a task of the plurality of tasks to obtain application layer information of the identified task; determining which respective computing device executed the identified task to obtain network layer information of the respective computing device; generating a dependency map illustrating a relationship between the identified task and the respective computing device that executed the identified task, the relationship including the application layer information and the network layer information; and displaying, using an interactive graphical user interface (GUI) on a user device, the dependency map.