Described embodiments provide for routing remote application data. A device can receive a request to access an application. The application can be provided by data centers and accessible via service providers. The device can select a data center from the plurality of data centers and a service provider based at least on a metric indicative of a connection between the data center and the service provider. The device can query a database including one or more connection metrics using the application identified in the request and a location of a router transmitting the request. The device can determine the location of the router based on an internet protocol (IP) address of a client communicably coupled to the router. The device can transmit a response to the request identifying the selected data center and the selected service provider.

Various example embodiments for providing device application support are presented. In at least some example embodiments, device application support may be configured to support device programmability. In at least some example embodiments, device application support may be configured to support device programmability for enabling a customer that operates a device to develop a customer application for the device and to run the customer application on the device. In at least some example embodiments, device application support may be provided in a manner for enabling a customer to develop and run a customer application for a device without a need for the customer to use a software development kit (SDK) to develop the customer application.

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

Software that may be implemented using a circuit is disclosed. The software may include an Application Programming Interface (API) to receive a request from an application relating to a key-value pair for a Key-Value Solid State Drive (KV-SSD). The key-value pair may include a key and a value; the application may be executed by a processor. The software may also include combiner software to combine the key with an index to produce an indexed key, and execution software to execute an operation on the KV-SSD using the indexed key and the value.

Software that may be implemented using a circuit is disclosed. The software may include an Application Programming Interface (API) to receive a request from an application relating to a key-value pair for a Key-Value Solid State Drive (KV-SSD). The key-value pair may include a key and a value; the application may be executed by a processor. The software may also include combiner software to combine the key with an index to produce an indexed key, and execution software to execute an operation on the KV-SSD using the indexed key and the value.

A memory device comprises a memory bank comprising a plurality of addressable memory cells, wherein the memory bank is divided into a plurality of segments. Further, the device comprises a cache memory operable for storing a second plurality of data words, wherein each data word of the second plurality of data words is either awaiting write verification associated with the memory bank or is to be re-written into the memory bank. The cache memory is divided into a plurality of primary segments, wherein each primary segment of the cache memory is direct mapped to a corresponding segment of the plurality of segments, wherein each primary segment is sub-divided into a plurality of secondary segments, and wherein each of the plurality of secondary segments comprises at least one counter for tracking a number of entries stored therein.

In described examples, a processor system includes a processor core generating memory transactions, a lower level cache memory with a lower memory controller, and a higher level cache memory with a higher memory controller having a memory pipeline. The higher memory controller is connected to the lower memory controller by a bypass path that skips the memory pipeline. The higher memory controller: determines whether a memory transaction is a bypass write, which is a memory write request indicated not to result in a corresponding write being directed to the higher level cache memory; if the memory transaction is determined a bypass write, determines whether a memory transaction that prevents passing is in the memory pipeline; and if no transaction that prevents passing is determined to be in the memory pipeline, sends the memory transaction to the lower memory controller using the bypass path.

A computing system includes a processing device and a memory device configured to store an Application Programming Interface (API) and computer software. The computer software has a plurality of software components configured to enable the processing device to utilize internal data for performing a plurality of functions. The API is configured to define interactions between the software components and is further configured to define access constraints with respect to the computing system. The access constraints are configured to restrict access by an end user associated with the computing system with respect to the internal data and software components. Also, the computer software is configured to adjust the access constraints of the API.

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.