Abstract: A method involves accelerating the electronic determination of high quality solutions to routing problems by utilizing determined optimized time windows for precomputing optimal path matrices to reduce computer resource usage. The use of traffic windows defined based on changes in rates of change of speeds for traffic on road segments allows for more rapid determination of a set of one or more high quality solutions as compared to requiring on-demand, in-process determination of a shortest path for a particular time during comparison of paths or routes performed as part of a process for determining high quality solutions to the routing problem.

Abstract: Designing and previewing web pages includes displaying an identifying image encoded with a first uniform resource locator (URL) of a preview web page on a display of a first computing device, the first URL including a location of the preview web page and a token unique to a web page authoring session for the preview web page; receiving, from a second computing device, a second URL obtained by capturing the identifying image on the display of the first computing device by a camera of the second computing device and decoding the captured identifying image to get the second URL by the second computing device; validating the second URL; and sending the preview web page to the second computing device when the second URL is validated. The preview web page may then be displayed on the second computing device.

Abstract: Architectures and techniques for in-app behavior detection. A behavior detection agent within an application running on a hardware computing device captures events within the application. The events are inputs received from one or more sources external to the application. The behavior detection agent generates an event stream from the captured events. The behavior detection agent analyzes the event stream for significant feature frequencies and associations corresponding to one or more attack profiles. The behavior detection agent initiates an attack response in response to finding one or more significant feature frequencies and associations. The attack response comprises at least changing an operational configuration of the application.

Abstract: Techniques for providing application contextual information. One or more sets of database context identifiers corresponding to events that occur within the database are generated by the database. The one or more sets of database context identifiers have at least one application context field. A session identifier corresponding to a session to be monitored is sent from the application to the database. Information to be stored in the database with the session identifier is sent to the database. Database logs and application logs are correlated using at least the session identifier.

Abstract: Among other things, embodiments of the present disclosure are directed to providing authorization code management for published static applications. Other embodiments may be described and/or claimed.

Abstract: DESCRIBED HEREIN ARE SYSTEMS, APPARATUS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR IMPLEMENTING A SELF EXECUTING AND SELF DISPOSING SIGNAL FOR AN IMPERATIVE PROGRAMMING LANGUAGE. THE SELF EXECUTING AND SELF DISPOSING SIGNAL MAY BE UTILIZED BY A REACTIVEX SPECIFICATION PROGRAMMING LANGUAGE. THE SIGNAL MAY BE EXECUTED BEFORE IT IS OBSERVED BY AN EXTERNAL OBSERVER, REDUCING LOAD TIMES. ADDITIONALLY, THE SIGNAL MAY ALLOW FOR MULTIPLE OBSERVERS TO OBSERVE THE OUTPUT OF THE SIGNAL AT THE SAME TIME AND MAY BE SELF DISPOSING TO PREVENT MEMORY LEAKS.

Abstract: Described herein are systems, apparatus, methods and computer program products for implementing a self executing and self disposing signal for an imperative programming language. The self executing and self disposing signal may be utilized by a ReactiveX Specification programming language. The signal may be executed before it is observed by an external observer, reducing load times. Additionally, the signal may allow for multiple observers to observe the output of the signal at the same time and may be self disposing to prevent memory leaks.

Abstract: Computing systems, database systems, and related conversational updating methods are provided for dynamically updating graphical user interfaces responsive to conversational user inputs received via a chatbot or other conversational interactions with a user.

Abstract: Methods and systems are provided for configuring for declaratively configuring a user self-registration process and a user self-registration page process for a particular service provider. A graphical user interface is displayed that includes a plurality of options for declaratively configuring different user self-registration processes and corresponding user self-registration pages for the particular service provider. One of the options can be selected, and a type of identifier and a type of verification process can be specified from different types for each. The type of identifier is associated with a user to be verified as part of the user self-registration process, and can be specified to define how the user is identified and looked-up during the user self-registration process. The type of verification process can define how the user will be verified as part of the user self-registration process.

Abstract: A non-transitory tangible computer readable medium containing instructions configured to cause one or more processors to execute a process. The process comprises monitoring user input, preferences, and navigation patterns of a website or computer application on a user computer device, such as a computer, phone, or tablet. Administrator-defined rules are applied to the user input, preferences, or navigation patterns to generate a suggestion for a customer service application, such as a self-service FAQ page, video chat assistance, live chat assistance, or a case ticket system. The customer service application suggestion is displayed on the user computer device and may be transferred to a different device.

Abstract: A system tokenizes values stored in a field by multiple records. The system creates a trie from the tokenized values, each branch in the trie labeled with one of the tokenized values, each node storing a count indicating the number of the multiple records associated with a tokenized value sequence beginning from a root of the trie. The system tokenizes a value stored in the field by a prospective record. Beginning from the root of the trie, the system identifies each node corresponding to a token value sequence for the prospective record's tokenized value. Beginning from the most recently identified node for the prospective record's token value sequence, the system identifies each extending node which stores a count that satisfies a threshold, each identified extending node corresponding to another token value sequence. The system uses the other token value sequence to identify one of the multiple records that matches the prospective record.

Abstract: A method of collecting data from multiple sources in a multi-tenant system is provided. The method includes obtaining data corresponding to a first tenant in the multi-tenant system and a second tenant in the multi-tenant system from a first source, obtaining data corresponding to the first tenant in the multi-tenant system and the second tenant in the multi-tenant system from a second source, and aggregating the data obtained from the first and second sources into a single database and associating each entry of the obtained data with at least one of the tenants of the multi-tenant system.

Abstract: Content deployment systems and methods are provided for continuously integrating and deploying selected content items from a plurality of content sources into a specific release as part of the specific release. For example, a first content source stores a plurality of first content items for potential inclusion in the specific release. A manifest record for the specific release specifies release items that are allowed to be part of the specific release. A proxy can periodically retrieve selected ones of the first content items that are specified in the manifest record, and push them to a content publishing engine. Any content items that are not specified in the manifest record are rejected by the proxy. A processor of the content publishing engine can allow for continuous integration of the selected ones of the first content items into the specific release.

Abstract: An application server platform operated by a cloud computing services provider receives input from a customer organization application executing on the application server platform, the input specifying a first action on a first item type, and a second action on a second item type to recommend in response to the specified first action on the first item type. The application server platform searches for a record in a permanent data store that contains the first action, the first item type, the second action, and the second item type, and assigns a value to a token associated with the record based on when the application server platform most recently generated a recommendation that included the first action on the first item type and the second action on the second item type from the record, when the search locates the record in the permanent data store.

Abstract: Container orchestration system (COS) service discovery across multiple COS clusters based on COS cluster domain name system (DNS) is described. An indication that a first COS service and first COS endpoints are created in a first COS cluster is received. In response to the receipt of the indication, a request to create, in a second COS cluster, a second COS service and second COS endpoints is transmitted. The second COS service and the second COS endpoints correspond to the first COS service and the first COS endpoints. The creation of the second COS service and the second COS endpoints causes insertion of first DNS records in a first DNS server that is local to the second COS cluster enabling COS pods of the second COS cluster to communicate with the COS pods of the first COS cluster through a network.

Abstract: A system receives one or more changes to a platform-independent declarative specification to generate a modified platform-independent declarative specification that captures various aspects for deploying a data center on a target cloud platform. The system facilitates auditing by generating a snapshot of each modified declarative specification. After compilation of the modified declarative specification to generate a platform-specific metadata representation of the data center, the system generates a unique identifier, and associates the generated snapshot of the modified declarative specification, the metadata representation of the data center, the provisioned cloud resources on the target cloud platform, and the deployed data center on the target cloud platform with the unique identifier.

Abstract: Techniques are disclosed relating to fencing out a first one of a plurality of nodes configured to handle requests for data stored in a distributed storage. A database system, in various embodiments, stores a value indicating that the first node is permitted to update a catalog stored at a metadata server. In response to a determination to prevent the first node from updating the catalog and writing to the distributed storage, in various embodiments, the database system updates the value to indicate that the first node is not permitted to update the catalog and instructs the distributed storage to prevent write operations to a particular portion allocated to the first node for writing data.

Abstract: Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.