Abstract: Techniques are disclosed herein for a direct launch for asynchronous actions. An example method can include receiving, by a device, a first workflow request, wherein the device comprises a first launcher in operable communication with a second launcher via a shared queue, and wherein a first duplicate of the first workflow request is stored in the shared queue is to be retrieved by the second launcher upon an elapsing of a threshold time interval. The device can transmit the workflow request to an application for executing the first workflow request, wherein the transmission is prior to the threshold time elapsing. The device can determine whether the application initiated a workflow to process the workflow request. The device can update the first duplicate of the first workflow request stored at the shared queue based at least in part on the determination and prior to the threshold time interval elapsing.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A current value for an aggregate power threshold of a plurality of hosts may be identified. During a first time period, an aggregate power consumption of the plurality of hosts may be managed using the current value for the aggregate power threshold. A triggering event indicating a modification to the aggregate power threshold is needed may be detected. A new value for the aggregate power threshold may be determined based on the triggering event. During a second time period, the aggregate power consumption of the plurality of hosts may be managed using the new value for the aggregate power threshold.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. A number of response levels may be utilized, each having an association to a corresponding set of reduction actions. The impact to customers, hosts, and/or workloads can be computed at run time based on current and/or predicted conditions and workloads, and a particular response level can be selected based on the computed impact. These techniques enable a sufficient, but least impactful response to be employed.

Abstract: Disclosed techniques relate to orchestrating power consumption reductions across a number of hosts. Power consumption of power-drawing devices (e.g., hosts, servers, etc.) may be monitored with respect to a power threshold. When the current power consumption corresponding to those devices breaches the power threshold, or at any suitable time, the system may identify a set of reduction actions configured to reduce aggregate power consumption. The power threshold may be updated dynamically based on the operational status of related systems and environmental factors. A number of response levels may be utilized, each having an association to a corresponding set of reduction actions. The impact to customers, hosts, and/or workloads can be computed at run time based on current conditions and workloads, and a particular response level can be selected based on the computed impact. These techniques enable a sufficient, but least impactful response to be employed.