Abstract: Techniques are described for enabling a cloud-based service to provide rate controls for events to be delivered by the service to event targets. An event bus service, for example, broadly enables users to create and configure event buses that receive events from event sources and from which the event bus service filters, transforms, routes, and delivers events to selected event targets according to configurable rules. A new event egress call pattern is provided that estimates a rate of attempted event traffic to event targets and a rate of successfully delivered event traffic (also referred to as a local rate estimation), and that uses the rate estimations to determine when it may be appropriate to throttle event delivery, thereby reducing stress on downstream systems experiencing capacity issues and potentially reducing a number of event delivery retries to be handled by the event bus service.

Abstract: A system is configured to simulate outages of network resources. The system is configured to provide a control plane for computing resources of a provider network. The control plane is configured to cause simulated outages of a primary region of the plurality of regions selected to host the plurality of different computing resources. During the simulated outages, the control plane moves respective workloads of the plurality of different computing resources to be performed in the one or more secondary networks and tracks a performance of the one or more secondary regions hosting the moved respective workloads of the plurality of computing resources. After completing individual ones of the simulated outages of the first network, the control plane moves the respective workloads of the plurality of different computing resources back to the primary region.

Abstract: A probabilistic data structure such as a bloom filter may be used to provide a space efficient representation of rules that define events of interest to sources and may be used to reduce the number of events ingested by an event bus system. An event bus system may generate a probabilistic data structure based on the rules that may be used at the event source as a filter. The probabilistic data structure predetermines whether the events to be sent to the event bus system will be of interest to any event targets and if an event is of no interest to any of the event targets, the event will not be sent.