Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: The described technology is generally directed towards predicting a need for provisioned (e.g., cloud computing) resources so that the provisioned resources are proactively provisioned and operational before their actual need. Historical data is used to predict upcoming resource demand so that resources begin to be scaled up to meet demand in advance, at a prediction time, given that there is a “spin-up” delay between requesting resources and their actual availability. The predictive resource provisioning is adaptable to override customary historical data with expected exceptions, and is flexible to handle variable spin-up times, constraints, and optimizations.

Abstract: The described technology is generally directed towards predicting a need for provisioned (e.g., cloud computing) resources so that the provisioned resources are proactively provisioned and operational before their actual need. Historical data is used to predict upcoming resource demand so that resources begin to be scaled up to meet demand in advance, at a prediction time, given that there is a “spin-up” delay between requesting resources and their actual availability. The predictive resource provisioning is adaptable to override customary historical data with expected exceptions, and is flexible to handle variable spin-up times, constraints, and optimizations.

Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: The described technology is generally directed towards predicting a need for provisioned (e.g., cloud computing) resources so that the provisioned resources are proactively provisioned and operational before their actual need. Historical data is used to predict upcoming resource demand so that resources begin to be scaled up to meet demand in advance, at a prediction time, given that there is a “spin-up” delay between requesting resources and their actual availability. The predictive resource provisioning is adaptable to override customary historical data with expected exceptions, and is flexible to handle variable spin-up times, constraints, and optimizations.

Abstract: The described technology is generally directed towards predicting a need for provisioned (e.g., cloud computing) resources so that the provisioned resources are proactively provisioned and operational before their actual need. Historical data is used to predict upcoming resource demand so that resources begin to be scaled up to meet demand in advance, at a prediction time, given that there is a “spin-up” delay between requesting resources and their actual availability. The predictive resource provisioning is adaptable to override customary historical data with expected exceptions, and is flexible to handle variable spin-up times, constraints, and optimizations.

Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: Systems and methods are provided for selecting components to include in portions of a displayable file. Selecting the components may include determining an order of the components for each portion of the displayable file. The components' order for a given portion may be based on a score for each component, where a component's score is based on an estimated value and standard error associated with the component. The component to include in each portion of the displayable file may be selected based at least in part on the determined component order for each portion and a predetermined priority of each portion.

Abstract: The described technology is generally directed towards detecting and propagating changes that affect information maintained in a cache. Data may be pre-cached in advance of its actual need, however such data can change, including in various different source locations. A change monitoring/signaling service detects relevant changes and publishes change events to downstream listeners, including to a cache population service that updates pre-cache data as needed in view of such data changes. Per-user-specific data also may be pre-cached, such as when a user logs into a data service.

Abstract: The described technology is generally directed towards predicting a need for provisioned (e.g., cloud computing) resources so that the provisioned resources are proactively provisioned and operational before their actual need. Historical data is used to predict upcoming resource demand so that resources begin to be scaled up to meet demand in advance, at a prediction time, given that there is a “spin-up” delay between requesting resources and their actual availability. The predictive resource provisioning is adaptable to override customary historical data with expected exceptions, and is flexible to handle variable spin-up times, constraints, and optimizations.

Abstract: Techniques for automated targeting of content components to users are described. Content components are selected and exposed through renderable pages for viewing by a population of users. User activity following exposure is tracked in an effort to identify which types of users (as characterized by certain attributes) are likely to act on the content components. The users are segmented into groups according to the attributes and the segments are fed back to aid in selection of content components to be exposed to the users. This enables more granular targeting of the content components to those users who exhibit the attributes that define the specific groups.