Abstract: A system of one embodiment allows for redirecting service and API calls for containerized applications in a computer network. The system includes a memory and a processor. The system processes a plurality of application workflows of a containerized application workload. The system then identifies at least one application workflow of the plurality of application workflows and at least one workflow-specific routing rule associated with the at least one application workflow. The system then determines at least one proxy server address for each identified application workflow based on the at least one associated workflow-specific routing rule. Then the system determines at least one proxy server address for each identified application workflow based on the at least one associated workflow-specific routing rule. The system then may communicate the at least one identified application workflow to the at least one proxy server using the at least one determined proxy server addresses.

Abstract: The present disclosure is directed to systems and methods for minimizing data exposure in API responses and includes the performance of operations and/or the steps of receiving, from a client, a request for a data object from an API, wherein the data object comprises one or more data elements; identifying a client type associated with the client; receiving, from the API, a response to the request from the client; and modifying the response based on the identified client type.

Abstract: According to some embodiments, a method is performed by a distributed cloud-native application. The method comprises receiving a request from a user to perform an operation. The user is associated with a risk profile. The method further comprises determining a call path through the distributed cloud-native application to perform the operation and classifying a risk level associated with the determined call path based on a distributed call graph. The distributed call graph comprises a risk value for each call path through the distributed cloud-native application and each call path comprises one or more distributed cloud-native application components. The risk value is based on a weakness rating associated with each component in the call path. The method further comprises determining the risk level associated with the determined call path is acceptable based on the risk profile associated with the user and performing the operation.

Abstract: A method and a system, the system includes: an analog base-band pre-distorter arranged to receive in-phase (I) baseband signals and Quadrature (Q) baseband signals, and to amplify the I baseband signals and the Q baseband signals by a gain function to provide amplified I baseband signals and amplified Q baseband signals; wherein the gain function is responsive to a sum of (a) a square of amplitudes of the I baseband signals and, (b) a square of amplitudes of the B baseband signals; a frequency converter arranged to convert the amplified I and Q baseband signals to radio frequency (RF) signals; an RF amplifier that is arranged to amplify the RF signals to provide amplified RF signals and to output differential RF signals that represent the amplified RF signals through first and second differential output ports of the RF amplifier; a balun comprising a first and second balanced input ports and a single unbalanced output port; and multiple wire-bonds coupled between the balun and the first and second differentia

Abstract: A frequency synthesizer includes a direct digital synthesizer (DDS), a digital-to-analog converter for converting the output of the DDS to a DDS output signal, a first bandpass filter for filtering the DDS output signal, a single side band mixer for mixing the filtered DDS output signal with a mixing frequency signal, a divider for dividing the mixer output, a second bandpass filter for filtering the mixer output, and a phase lock loop for turning the filtered mixer output into a signal of the desired frequency. This frequency synthesizer combines the high resolution of a DDS with high bandwidth and low noise.