Abstract: A request to perform an action related to a smart contract deployed on a blockchain may be received at a database system. The smart contract may be associated with a multi-signature authorization policy including one or more signature criteria for performing the action. A respective signature request message may be transmitted to a plurality of recipients. The signature request messages may identify the smart contract and the action. A plurality of signature response messages may be received. Two or more of the signature response messages may include a respective signature generated based on a respective private cryptographic key. An action execution message may be transmitted to execute the smart contract to perform the action. The action execution message may include the two or more signatures. The smart contract may be configured to perform the action when the two or more signatures comply with the multi-signature authorization policy.

Abstract: A relational database stores customer relations management information including a plurality of transaction records that reflect tokens minted on a blockchain and transferred to customers of a plurality of tenants. A blockchain interface may deploy to the blockchain a smart contract owned by an owner account associated with a designated tenant. The smart contract may be linked to a voucher creator account assigned to a voucher creator role, which may be linked to a voucher public key stored on the blockchain in association with the smart contract and a voucher private key. A transaction voucher authorizing a voucher recipient account to execute the smart contract to perform an action may be created and signed with the voucher private key. The smart contract may include an executable function to perform the action after validating the transaction voucher by decrypting the transaction voucher with the voucher public key.

Abstract: Techniques are disclosed relating to handling queues. A server-based platform, in some embodiments, accesses queue information that includes performance attributes for a plurality of queues storing one or more messages corresponding to one or more applications. In some embodiments, the platform assigns, based on the performance attributes, a corresponding set of the plurality of queues to each of a plurality of processing nodes of the platform. In some embodiments, the assigning of a corresponding set of queues to a given one of the plurality of processing nodes causes instantiation of: a first set of one or more dequeuing threads and a second set of one or more processing threads. The dequeuing threads may be executable to dequeue one or more messages stored in the corresponding set of queues. The processing threads may be executable to perform one or more tasks specified in the dequeued one or more messages.

Abstract: Methods, computer readable media, and devices for dynamic personalized API assembly are provided. One method may include receiving a data query from a client by a CDN, parsing the data query to generate a modified data query, transmitting the modified data query to an origin server, receiving a query response from the origin server, the query response including content corresponding to the plurality of data elements and an indication specifying whether the content is cacheable in the CDN, and sending a modified query response including responsive content comprising one or more of content previously cached on the CDN and the content obtained from the origin server. Another method may include receiving an API call by an origin server, generating an API response by creating a payload file and adding indication specifying whether the content is cacheable in the CDN, and transmitting the API response.

Abstract: Described herein are systems, apparatus, methods and computer program products for machine learning intent classification. In various embodiments, historical utterances provided by users may be utilized for bot training. Context and personally identifiable information may be removed from the utterances. The utterances may be associated with vectors. The utterances and vectors may be used to determine recommendations.

Abstract: Systems and techniques are provided for monitoring and managing the performance of services accessed by sites on a computing platform. When a performance issue is identified, a service is monitored to determine if calls to the service exceed a threshold completion time. If so, a resource available to call the service is adaptively throttled by the platform.

Abstract: A method by one or more computing devices to standardize and centralize data movement between systems. The method includes receiving and storing data source information for a logical data source including authentication and authorization information for accessing a plurality of source systems that store data associated with the logical data source, schema information for a first schema used by a first one of the plurality of source systems to store data associated with the logical data source, and process information for a process including job information for a first job of the process that is for importing data associated with the logical data source from the first source system to a staging area. The method further includes executing the process according to the process information for the process.

Abstract: Disclosed are some implementations of systems, apparatus, methods and computer program products for generating a layout representing a process flow. Responsive to a first request from a client device to add an instance of a loop element type to a layout represented in a graphical user interface (GUI), the layout is updated such that the layout includes a first loop element defined by a loop element symbol and a loop connector path connected to the loop symbol. Responsive to a second request to add an instance of a second element type to the first loop element, calculating a set of rendering parameters for at least a portion of the layout including the first loop element based, at least in part, on a set of spacing rules and a set of dimensions associated with the second element type.

Abstract: According to some implementations, while a proxy routes production traffic to a first application (app) version that runs in a plurality of container orchestration system (cos) pods having first app version containers, configuration information is received including an identification of a second app version container image for a second app version. The second app version is an updated version of the first app version. Cos pods having second app version containers are brought up based on the second app version container image identified in the configuration information. Test and/or warmup traffic is caused to be routed to the second app version containers. Responsive to an indication regarding the routing of the test and/or warmup traffic to the second app version, causing a transition to sending production traffic to the second app version containers instead of to the first app version.

Abstract: An automatic speech recognition (ASR) system that determines a textual representation of a word from a word spoken in a natural language is provided. The ASR system uses an acoustic model, a language model, and a decoder. When the ASR system receives a spoken word, the acoustic model generates word candidates for the spoken word. The language model determines an n-gram score for each word candidate. The n-gram score includes a base score and a bias score. The bias score is based on a logarithmic probability of the word candidate, where the logarithmic probability is derived using a class-based language model where the words are clustered into non-overlapping clusters according to word statistics. The decoder decodes a textual representation of the spoken word from the word candidates and the corresponding n-gram score for each word candidate.

Abstract: Embodiments of the invention identify entities stored within or across a number of data stores and identify relationships between the entities. A relationships graph is generated that represents the entities and the identified relationships between entities, the relationships graph comprising nodes in the relationships graph to represent one or more entities and edges between any two nodes in the relationships graph to represent the identified relationships between the one or more entities represented by each of the two nodes. The relationships graph is stored in a graph store. A graph query is received against selected nodes and edges in the graph store. One or more data store queries are generated therefrom, to be executed against respective selected ones of the one or more entities and their respective identified relationships based on the graph query and the graph store. The one or more data store queries are applied to selected one or more of the number of data stores.

Abstract: Techniques are disclosed relating to probabilistic data structures. A database node may maintaining a probabilistic data structure capable of encoding database keys. The probabilistic data structure may include a plurality of levels that are each capable of storing an indication of a transition between successive characters in a database key. The database node may insert a particular database key into the probabilistic data structure and the particular database key may comprise a series of characters. The inserting may include setting, for each transition between successive characters of the series of characters, an indication in a corresponding level of the plurality of levels that is indicative of that transition. The database node may further maintain lineage information specifying one or more lineages that correspond to the transition.

Abstract: Disclosed herein are system, method, and device embodiments for enriching the capabilities of an API management product by deploying an augmented circuit breaker policy at an API gateway to automate regression analysis. Based on the augmented circuit breaker policy, the API gateway may perform curative remedies when a triggering condition occurs, e.g. rolling back the software release or alerting administrators. In one use case, the augmented circuit break policy may mitigate the damage of a faulty software release by programmatically directing all requests received at the API gateway to a stable version of the API. The benefits may be extended by using machine learning to train normality models on the typical behavior of a particular API. A user may then configure an augmented circuit breaker policy to perform a programmatic rollback when the API gateway recognizes conditions that diverge from normal behavior.

Abstract: Medium, method and system for ad hoc, ambient, synchronous multimedia collaboration in a group-based communication system. Embodiments of the invention provide a way for users to quickly establish a real-time collaboration among a group of peers without the burden and overhead of a conventional call or video meeting. Users can quickly and easily join and leave these synchronous multimedia collaboration sessions at any time, without disrupting the session for other users. This enables the user to experience the collaboration as a convenient forum rather than a burdensome scheduled event.

Abstract: Systems, methods, and apparatuses for implementing licensing and provisioning software products within a cloud based computing environment. An exemplary system having at least a processor and a memory therein includes logic for receiving user input defining a plurality of features of a software product, creating a license definition of the software product based on one or more of the plurality of software product features, storing the license definition into a software application depot hosted by a cloud computing service provider, publishing a record for the license definition in a selected management organization for the cloud computing service provider, the record providing a reference to the license definition and an owner thereof, and assigning and linking a stock keeping unit (SKU) to the license definition to make the software product available for purchase.

Abstract: Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred feature type. An embodiment operates by maintaining user-presented features associated with user-presented records, wherein the user-presented features comprise one or more user-presented feature types. After receiving a user-desired feature of the user-presented features, a user-preferred feature type of the user-presented feature types is determined based on the user-presented features and the user-desired feature. Thereafter, a new record and associated feature are to be presented with the new feature being of the user-preferred type.

Abstract: A method of asset verification implemented by a computing device as part of an asset verification system. The asset verification utilizes unique identifying information of the asset. The method collects asset information from a user, collects asset information from the computing device, generates a unique identifier from the asset information, adds the unique identifier and the asset information to a blockchain, and stores the asset information in a distributed storage system.

Abstract: In accordance with embodiments disclosed herein, there are provided mechanisms and methods for automating deployment of applications in a multi-tenant database environment. For example, in one embodiment, mechanisms include managing a plurality of machines operating as a machine farm within a datacenter by executing an agent provisioning script at a control hub, instructing the plurality of machines to download and instantiate a lightweight agent; pushing a plurality of URL (Uniform Resource Locator) references from the control hub to the instantiated lightweight agent on each of the plurality of machines specifying one or more applications to be provisioned and one or more dependencies for each of the applications; and loading, via the lightweight agent at each of the plurality of machines, the one or more applications and the one or more dependencies for each of the one or more applications into memory of each respective machine.

Abstract: Exemplary systems, methods, and apparatuses implement a declarative and metadata driven blockchain platform using Distributed Ledger Technology (DLT) in conjunction with a cloud based computing environment. The exemplary system operates a blockchain interface to the blockchain; receives inputs declaring a new application, network participants for the new application, access rights to the new application, as well as entity types and field definitions for the new application. The system further generates a blockchain asset having encoded therein as the defined metadata for the new application, at least (i) the plurality of network participants declared, (ii) the plurality of entity types declared, and (iii) the one or more new field definitions declared for each of the plurality of entity types; and transacts the blockchain asset having onto the blockchain.

Abstract: There is provided a computer implemented method of allocating processing resources for processing by processing nodes, comprising: training predictive models, each predictive model for a respective processing node, each predictive model trained on a training dataset comprising records, each record including a historical amount of processing resources allocated to the respective processing node and a ground truth label indicating historical processing outcomes, wherein each processing node exhibits diminishing returns of processing outcomes with increasing allocated processing resources, wherein each predictive model is implemented as a monotonically increasing function that reaches a saturation level, solving an optimization allocation problem using the predictive models to identify a respective amount of processing resources for allocation to each processing node that maximizes a total of processing outcomes for a predetermined total amount of processing resources, and generating instructions for allocation