Systems and methods are provided for fail-safe loading of information on a user interface, comprising receiving, via a modular platform, requests for access to a mobile application platform from a plurality of mobile devices, opening and directing the requests for access to the mobile application platform to a sequential processor of an application programming interface (API) gateway when a parallel processor of the API gateway is unresponsive to requests for access to the mobile application platform for a predetermined period of time, periodically checking a status of the parallel processor, and redirecting the requests for access to the mobile application platform to the parallel processor when the parallel processor is capable of processing requests for access to the mobile application platform.

Technologies are disclosed for real-time workload tracking and throttling within a multi-tenant service. Multi-tenant services receive requests from computing devices associated with different tenants. While processing requests, the multi-tenant service itself sends requests to an underlying resource, such as a database. Requests from computing device associated with an overactive tenant may cause the multi-tenant service to overwhelm the underlying resource. The overwhelmed underlying resource may not know which tenant a request received by the underlying resource is associated with, and so the underlying resource is unable to only throttle requests originating from computing devices associated with the overactive tenant. Instead, the underlying resource throttles all requests from the multi-tenant service. To avoid this result, the multi-tenant service tracks utilization of the underling resource associated with each tenant, and throttles requests received from overactive tenants before the underlying resource becomes overwhelmed and throttles all requests from the multi-tenant service.

Embodiments of the invention are directed to a system, method, or computer program product for processing and authorization of electronic resource requests via a resource platform. A platform is provided for receiving and processing resource request data, and automating the authorization process involved with resource requests. The resource platform may be leveraged by one or more entities via secure communication interface through the conversation of electronic resource request data to industry standard formatting as well as formatting for multiple digital channel types. Authorization of electronic resource requests may include intelligent user configuration for convenient authentication via the use of multiple authenticated users.

Described is a server monitoring technology that is scalable to large numbers of servers, e.g., in a datacenter. Agents on servers run queries to monitor data sources for that server, such as performance counters and other events. The agents monitor their resource usage and those of monitored events to stay within an administrator-specified resource budget (policy), e.g., by modifying the running queries and/or monitoring parameters. A controller receives results of the monitoring, analyzes the results, and takes action as needed with respect to server operation and monitoring. The controller may dynamically update an agent's queries, monitoring parameters and/or monitored data post-processing operations. The controller may issue alerts and reports, including alerts indicative of inter-server problems between two or more servers.

The aspects of the present disclosure provide a method and an apparatus for implementing hardware resource allocation. For example, the apparatus includes processing circuitry. The processing circuitry obtains a first value that is indicative of an allocable resource quantity of a hardware resource in a computing device. The processing circuitry also receives a second value that is indicative of a requested resource quantity of the hardware resource by a user, and then determines whether the second value is greater than the first value. When the second value is determined to be less than or equal to the first value, the processing circuitry requests the computing device to allocate the hardware resource of the requested resource quantity to the user, and subtracts the second value from the first value to update the allocable resource quantity of the hardware resource in the computing device.

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. The request manager may implement a limited number of retries if the predetermined levels are exceeded. The request manager prompts sending of an error message to the client if the retries are unsuccessful. Quantification of the required processing and memory resources is based on previous API calls so accuracy may improve over time.

Disclosed herein are system, method, and computer program product embodiments for configuring a dynamic reassignment of an application flow across different computation layers based on various conditions. An embodiment operates by assigning a first rule of an application flow to a first computation layer of a plurality of computation layers. The embodiment assigns a second rule of the application flow to a second computation layer of the plurality of computation layers. The embodiment assigns a transition rule of the application flow to the first computation layer. The transition rule includes an action that causes the first rule of the application flow to be executed in the second computation layer of the plurality of computation layers based on a condition. The embodiment then transmits the application flow to the plurality of computation layers thereby causing the application flow to be configured for execution.

Systems and methods for allocating resources are disclosed. Resources as processing time, writes or reads are allocated. Credits are issued to the clients in a manner that ensure the system is operating in a safe allocation state. The credits can be used not only to allocate resources but also to throttle clients where necessary. Credits can be granted fully, partially, and in a number greater than requested. Zero or negative credits can also be issued to throttle clients. Segment credits are associated with identifying unique fingerprints or segments and may be allocated by determining how many credits a CPU/cores can support. This maximum number may be divided amongst clients connected with the server.

A memory allocation method and a server, wherein the method includes: identifying, by a server, a node topology table; generating fetch hop tables of the NUMA nodes based on the node topology table; calculating fetch priorities of the NUMA nodes based on the fetch hop tables of the NUMA nodes, and using an NC hop count as an important parameter for fetch priority calculation; and when a NUMA node applies for memory, allocating memory based on the fetch priority table, and for a higher priority, more preferentially allocating memory from a NUMA node corresponding to the priority.

This disclosure describes methods, devices, systems, and procedures in a computing system for capturing a configuration state of an operating system executing on a central processing unit (CPU), and offloading memory management tasks, based on the configuration state, to a resource management unit such as a system-on-a-chip (SoC). The resource management unit identifies a status of a resource requiring memory swapping based on the captured configuration state of the operating system. The resource management unit then swaps the memory to alleviate the CPU from processing the swap thereby improving overall computing system performance.