A technique includes accessing, by at least one hardware processor, a recorded request and a recorded response associated with an integration test involving a first computer system and a second computer system. The recorded request was previously issued by the first computer system to the second computer system to cause the second computer system to provide the recorded response. The technique includes, in a virtualized integration test involving the second computer system and initiated using the recorded request, comparing, by the hardware processor(s), the recorded response to a request produced by the second computer system in the virtualized integration test. The technique includes identifying, by the hardware processor(s), an action taken by the second computer system as being likely to be associated with a regression based on the comparison.

An analytics server receives from client computing devices end-user events. Each client computing device is operated by an end-user to access an application at a web server based on the end-user events resulting in calls being passed through a proxy to the web server. The analytics server receives from the proxy the calls being made to the web server, and receives return responses from the web server being passed through the proxy. The return responses correspond to activities being performed within the application. The end-user events are correlated with the corresponding calls and return responses from the proxy. Respective correlated end-user events, calls and return responses are translated into respective event vectors. The respective event vectors are processed to determine similarities among the client computing devices. The similar activities are associated with a quality indicator to identify anomalies within the application for corrective action to be taken.

A request manager analyzes API calls from a client to a host application for state and performance information. If current utilization of host application processing or memory footprint resources exceed predetermined levels, then the incoming API call is not forwarded to the application. If current utilization of the host application processing and memory resources do not exceed the predetermined levels, then the request manager quantifies the processing or memory resources required to report the requested information and determines whether projected utilization of the host application processing or memory resources inclusive of the resources required to report the requested information exceed predetermined levels. If the predetermined levels are not exceeded, then the request manager forwards the API call to the application for processing.

A computer-implemented method, computer program product and computing system for receiving a complex task; processing the complex task to define a plurality of discrete tasks each having a discrete goal; executing the plurality of discrete tasks on a plurality of machine-accessible public computing platforms; determining if any of the plurality of discrete tasks failed to achieve its discrete goal; and if a specific discrete task failed to achieve its discrete goal, defining a substitute discrete task having a substitute discrete goal.

A multitenant infrastructure server (MTIS) is configured to provide an environment to execute a computer routine of an arbitrary application. The MTIS receives a request from a webtask server to execute the computer routine in a webtask container. The computer routine is executed in the webtask container at the MTIS. Upon successful execution of the computer routine, a result set is returned to the webtask server. If the execution of the computer routine is unsuccessful, an error notification is returned to the webtask server. The resources consumed during the execution of the computer routine are determined. The webtask container is destroyed to prevent persistent storage of the computer routine on the MTIS.

A method may include interacting with an interface for one or more computational devices, wherein the interacting is based on an identifier, and wherein the identifier comprises information that identifies a functionality of a computational device functions. The information may include a functionality identifier. The identifier may further include information that identifies a group of the computational device function. The group of the computational device function may be based on a source of the computational device function. The information that identifies the functionality of a computational device function may include a functionality identifier, and the information that identifies the group of the computational device function may include a group identifier. The functionality identifier may include a unique function identifier, and the group identifier may include an organizationally unique identifier.

In an embodiment, the disclosure provides computer-implemented systems and methods for providing graph-based recommendations of digital media collaborators for content creators. In an embodiment, the disclosure provides computers programmed to implement a networked, online platform for facilitating collaboration between content creators. In an example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, of a specific content type. In another example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, without restricting the content type, using a community detection algorithm. In embodiments, recommendations may be made partly based on centrality measures of creator nodes on a network graph programmatically calculated between content nodes of that network graph, or content nodes of a community detected in the network graph. Recommendations may also be informed by characterizations of followers of content creators.

A firmware massive update method using a flash memory includes: a firmware data registration step of receiving, from a manufacturer server, at least one of information of a user device that is a firmware update target, and firmware information and registering the received information as firmware data; a firmware data management step of receiving a request from a firmware update server in which the registered firmware data is stored, and storing and managing the registered firmware data in a specific area of a flash memory included in the user device via a network; and a firmware update execution step of executing a firmware update on the firmware data managed in the specific area of the flash memory included in the user device through the firmware update server.

A server system for a map-based social media platform maintains user location information to enable the rendering of friend icons on a map at a corresponding display locations. The system maintains a per user access control list (ACL) that lists all users whose icons can be viewed by a requesting user. The ACL can include a designation of respective display granularity levels for different friend users.

Approaches for data processing are disclosed that include receiving, from a client, an application programming interface (API) request at an API endpoint of an API, where the API endpoint is configured to process data requests at a data plane of the API, identifying, from a header of the API request, a request for metadata associated with the API, redirecting the API request to a metadata plane of the API, retrieving, at the metadata plane of the API, the requested metadata based on the header of the API request, and transmitting, via the API endpoint and to the client, a response message indicating the requested metadata.