Abstract: A triggering system of a message processing service invokes a dispatch function to execute code to determine a set of message consumption functions to launch in order to process a set of messages from a queue. The dispatch function determines, based at least in part on the number of messages in the queue, the number of message consumption functions of the set that are to process these messages. The dispatch function invokes, based on the determination, the set of message consumption functions to process the set of messages from the queue.

Abstract: A triggering system of a message processing service invokes a dispatch function to execute code to determine a set of message consumption functions to launch in order to process a set of messages from a queue. The dispatch function determines, based at least in part on the number of messages in the queue, the number of message consumption functions of the set that are to process these messages. The dispatch function invokes, based on the determination, the set of message consumption functions to process the set of messages from the queue.

Abstract: Techniques for dynamically allocating storage space at fulfillment centers for sellers offering items are disclosed herein. In embodiments, information about available bins of a fulfillment center for storing inventory may be obtained. Sales performance factor information for a seller offering items may be received for items that are being stored at a fulfillment center. A capacity of bin numbers and bin sizes may be determined for the seller based on the sales performance factor information and the number of available bins. A threshold space assignment for the seller may be determined based on an inventory group associated with the offered items associated with the seller. Particular bin sizes and bin numbers may be identified at the fulfillment center for the particular seller to store the offered items based on the capacity and threshold space assignment.

Abstract: Techniques for automatically activating a count of device-independent functions to process a received request and other predicted traffic include determining a current count of active functions, a count of functions currently processing requests, a duration for execution of a function, an average time used by a function to process a request, and a current count of client devices accessing the system. A probabilistic value indicating the likelihood of additional traffic may also be determined based on characteristics of the request. These values are used to determine the available capacity for processing requests using the currently active functions and the predicted capacity to be used to process predicted additional traffic. A number of additional functions may be activated based on the difference between the available capacity and the predicted capacity.