Apparatuses, systems, and techniques to manage memory arrays. In at least one embodiment an application programming interface (API) is performed to disassociate a virtual address indicated by the API from a corresponding physical address.

The present disclosure discloses a method for creating an app-capable basic system, such as an app-capable measuring transducer or an app-capable sensor, and a matching app, comprising the steps of: creating one or more interface methods with their name and version that the basic system expects from the app; creating one or more system calls with their name and version that the basic system offers the app; checking the interface methods and system calls for syntactic and semantic correctness; creating interface stubs for the basic system using the interface methods; creating system call stubs for the app using the system calls; creating the basic system using the system calls and interface stubs; and creating the app by means of the interface methods and the system call stubs.

An extended reanalysis ensemble service includes a loader services application program interface configured to receive data parameters for a set of automated multisource data provisioning operations, provide climate source data from one or more disparate climate data collections specified in the data parameters to conversion utilities for transforming the climate source data into flat, serialized block compressed sequence files, and load the sequence files to a distributed file system of the extended reanalysis ensemble service, and a reanalysis ensemble service application program interface configured to receive operational parameters for the set of automated multisource data provisioning operations, convert the operational parameters to one or more methods recognized by a service interface of the extended reanalysis ensemble service to be converted to analytical operations executed by the extended reanalysis ensemble service, and provide results of the one or more analytical operations executed by the extended reanalysis ensemble service to a client.

Mapping data from a first computer application to a second computer application by obtaining a second organization's application schema with data, generating a mathematical representation of the field keys and the data in the data fields of the second organization's application, extracting data from a first organization's application; processing the data from the first organization's application and data from the second organization's application, and mapping data from the first organization's application into the second organization's application schema.

A disclosed microservice scaling operation obtains information indicating dependencies between a function associated with an external API call and microservices spanned by the external API call. Functions invoked by managed resources are monitored and, responsive to detecting the function being invoked, a scaling service is launched to access the dependency information, identify the applicable microservices, and perform a scale up operation instantiating each of the microservices. The dependency information may be obtained by recording and analyzing traces for instances of the external API call to determine a dependency tree that indicates branches spanned by the external API call and a sequence of microservices corresponding to each branch. The microservices may be scaled up in parallel or in a prioritized parallel manner wherein in early span microservices are launched before late span microservices. The API may be a RESTful API and each microservice may correspond to an internal API call.

An any-to-any (A2A) connector system provides an A2A integration framework that includes an ingress router, a connector system, and enhancements to an orchestration service framework of an information exchange platform. At design time, an application programming interface (API) connector can be generated based on API documentation for the external service. At runtime, in processing an itinerary that includes a universal service, the external service is called through the universal service using the API connector. The universal service is operable to parse a request from a client system, query a connector database, and, based on a result from the connector database, sends a request to a connector engine. The connector engine fetches the API connector from the connector database, calls the external service using the API connector, handles results of the call, and returns the results to the universal service.

A system for integrating third-party software components with point of sale (POS) systems includes a memory and a processor in communication therewith. The processor deploys a POS adapter on a POS system. The POS adapter configures a framework for the POS system, interacts with transaction data generated by the POS system, generates an API request based on the first configured framework, accesses a façade gateway based on the API request, and receives one or more responses to the first API request from the façade gateway. The façade gateway translates the API request to be interpretable by the third-party software components, transmits the translated API request to the third-party software components, receives a response to the API request from the third-party software components, translates the response to be interpretable by the POS adapter, and transmits the translated response to the POS adapter such that it is executable by the POS system.

A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: monitoring an interaction of a user with a data center monitoring and management console when configurating an aspect of data center infrastructure, the configuring being performed via a plurality of application program interfaces; analyzing the plurality of application program interfaces used when configuring the aspect of data center infrastructure; and, generating customer specific application program interface documentation based upon the analyzing.

A method for automatically generating sample code for an API for payment processing in a payment network includes reading an acquirer processor-specific API for payment processing in a payment network using an acquirer processor-specific API reader, generating acquirer processor-specific API data using the acquirer processor-specific API reader, converting the acquirer processor-specific API data into a format compatible with an output generator, and generating language-specific sample code by the output generator using the converted acquirer processor-specific API data and a language-specific template.

Provided are an application interface implementation method and apparatus in a host platform layer, a device, and a storage medium, which relate to the field of computer technologies. The implementation scheme includes: the host platform layer acquiring description data of a terminal capability interface; parsing the description data to acquire a communication mode of the terminal capability interface; and configuring a corresponding processor according to the communication mode, configuring a corresponding concept mapping relationship according to the communication mode, or configure a corresponding processor and a corresponding concept mapping relationship according to the communication mode to encapsulate a platform layer interface of the terminal capability interface, where the platform layer interface is configured to process data of communication interactions in a process in which a mini program calls the terminal capability interface through the host platform layer.