Amazon Technologies, Inc.

Andrew Christopher Chud

Scott Anthony Siegler

Ronnie Dean Gauny

Thomas Meilandt Mathiesen

Richard Threlkeld

Adrian E Hall

Andrei V Vilkotski

Eric Dominique Gober

Josiah P Olivieri

Laura A Blanchard

Ata U Bhatti

Technologies are disclosed herein for providing asynchronous application store event notifications. An application developer registers with an application store to receive asynchronous push notifications for application store events of interest, such as events relating to in-application purchases, payment events, fulfillment events, application publishing events, or other types of events. When an event for which a notification is to be provided is detected, an application store event message is generated for the event and provided to a notification service. The notification service generates an application store event notification for the event on a topic defined in advance by the application developer. The application store event notification may then be delivered to an endpoint defined by the application developer, such as a hypertext transfer protocol (HTTP) endpoint. Alternately, the application store event notification may be placed on a queue defined by the application developer that is provided by a queue service.

Subscription framework feedback channel

A distributed database may comprise a plurality of nodes maintaining a collection of data items indexed by key values. Upon receiving a request to store a data item, a node of the database may be selected based on the node's suitability for storing the data item. The distributed database may generate a key to identify the data item, such that the generated key identifies the data item and comprises information indicative of the selected node. The distributed database may provide the generated key to an application programming interface client in response to the request.

Auto-generation of partition key

Systems, methods, and computer-readable media are disclosed for optimizing a programmatic advertising system by continuously adjusting certain policies with respect to the advertising bids to manage and balance commitments made to publishers and/or advertisers. The policies may be modified to adjust an attach rate and/or a guaranteed bid rate to balance various type of advertising bids (e.g., open auction, private market place deals, preferred deals, etc.) and ensure that commitments publishers and/or advertisers are satisfied. The system may continuously track new bids and may adjust the policies in real time or near real time to achieve certain targets for submissions, impressions, and other well-known advertising metrics.

Self-optimizing system for programmatic advertising

Video content is evaluated to classify one or more scenes or objects of the video content. The classifications may be evaluated against one or more rules for determining whether to include keywords associated with the classifications for targeting supplemental content. Classifications that satisfy the one or more rules may be used for selection of supplemental associated with one or more keywords Selected supplemental content may be included in video content in a break period following primary content.

Adjacent content classification and targeting

Systems and methods record tracking events during a presentation of supplementary content items to determine whether viewer(s) stopped watching the supplementary content item or watched the supplementary content item in its entirety. This determination may provide value to content publishers or (multi video programming distributors (MVPDs)) through preventing such supplementary content items from showing, whether in certain contexts, to certain viewers, and/or to certain audience segments. In some instances, the systems and methods may utilize machine-learning model(s) to determine which combinations of supplementary content items, contextual signals, viewers, and/or audience segments are likely to abandonment a supplementary content item. Preventing these combinations from showing, improves viewer experiences, permits MVPDs to effectively utilize opportunities for presenting supplementary content to viewers, in order to maximize revenue yield paid by supplementary content providers (e.g., advertisers), and efficiently uses computing resources to present supplementary content items that viewers are unlikely to abandon.

Filtering supplementary content using completion rate

Devices and methods are provided for using shadow impressions to control storage and delivery of streaming video content. The device may receive a request, the request associated with determining a group of streaming video advertisements for streaming video at a device. The device may determine, based on the request, a first advertisement, wherein the first advertisement is associated with a first number of impressions, wherein the first number of impressions includes a first number of shadow impressions. The device may determine not to include the first advertisement in the group of streaming video advertisements based on the first number of impressions exceeding a first playback threshold. The device may send the group of streaming video advertisements.

Shadow impressions for storage and delivery of streaming video

Systems and methods are disclosed to implement the automatic creation of an auto-partitioning second index (APSI) for a storage object in a storage service. According to embodiments, when a query to the storage object is received specifying a sort condition based on an attribute of the storage object, the storage service may determine that an APSI should be created to optimize for queries with that type of sort condition. The storage service then automatically creates a new APSI that is partitioned according to an auto-generated partition key and stores the data in sorted order in each partition based on the attribute as a sort key. Later queries to the storage object specifying the same type of sort condition are forwarded to the new APSI. A query directed to the APSI is divided into subqueries sent to APSI's partitions in parallel, and results are aggregated to produce the final query result.

Automatic creation of indexes for database tables

Video content is evaluated to classify one or more scenes or objects of the video content. The classifications may be evaluated against one or more rules for determining whether to include key words associated with the classifications for targeting supplemental content. Classifications that satisfy the one or more rules may be used for selection of supplemental associated with one or more key words Selected supplemental content may be included in video content in a break period following primary content.

Supplemental content associated with an advertising campaign may be evaluated by an object recognition service to classify the content using ad classification key words. The classification of the supplemental content may be used, along with publisher content descriptions associated with primary content, to identify targeting criteria for the supplemental content that may have a success metric above a threshold. Past campaigns deployed against primary content having similar publisher content descriptions may be evaluated to determine how certain key words or targeting criteria perform. If historical results are positive, the targeting criteria may be added to existing campaigns or approved for existing campaigns. Predicted success of the targeting criteria may be used to provide recommendations to users who control which primary content the supplemental content should be included.

Optimizing primary content selection for insertion of supplemental content based on predictive analytics

A policy management service receives a request from an application to access another service. The request identifies a desired access control policy and/or policy-related permissions associated with access to the service. The policy management service generates a record associated with the request, and provides, to an authenticating entity, an activation code that corresponds to the record. The policy management service validates the activation code and the authenticating entity and enables the authenticating entity to review the record to determine whether to approve creation of the principal and attachment of the desired permissions and/or access control policy to the principal. If approved, the policy management service creates the principal and attaches the desired permissions and/or the access control policy to the principal. The policy management service provides the information associated with the principal to the application to enable access by the application to the service.

Policy activation for client applications

Systems and methods are described to identify and correct inaccurate or non-compliant access policies for an authorization service that uses such policies to control access to instances of one or more network-accessible services. Each service can implement one or more instances on behalf of individual service users, which users can author an access policy to control whether requests to access the instances are allowed or disallowed at the authorization service. The access policies can be authored according to policy guidelines established by the service. If the policy guidelines of a service change (e.g., are updated to a new version), the authorization service can detect policies non-compliant with the changed guidelines, and notify service users of the non-compliant policies. The authorization service may further notify users of modifications or transformations to bring access policies into compliances with changed policy guidelines.

Service-level authorization policy management

Providing asynchronous application store event notifications

An updated version of a configuration of a computing resource may be rolled back to a previous version. The computing resource can include code for a function or the computing resource can be used to implement calls of an API. In some cases, the computing resource can be tagged to indicate that rollback functionality is applicable to the computing resource. The rollback to a previous version of code for a function or a previous version of an API may take place based on a rollback condition being satisfied that is related to error rates that take place when updated versions of a function or an API are utilized. The computing resource may be implemented in conjunction with a cloud-based storage system.

Update and rollback of configurations in a cloud-based architecture

Systems and methods are described to facilitate generation of access policies for a network-accessible service. An authorization service may use access policies to control whether requests to access a service are authorized. A user may submit to the authorization service a request to implement a 'shadow' policy, to be compared to a currently in-force policy for a service during a specified period of time. During that period, the authorization service can evaluate requests to access the service under both the currently in-force policy for the service and the shadow policy. The user can then be notified of any requests for which different authorization results are given under the currently in-force policy and the shadow policy, thus enabling the user to verify that differences between the currently in-force policy and the shadow policy are intentional rather than the result of errors within the shadow policy or currently in-force policy.

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Seattle, WA, United States of America

Andrew Christopher Chud