A system for firewall data log processing, comprising a firewall logging system operating on a first processor and configured to cause the first processor to receive firewall log data and to process the firewall log data on a periodic basis to reduce the size of the firewall log data and a firewall reporting system operating on a second processor and configured to process the reduced size firewall log data to generate a report on a user interface that includes one or more analytics from the reduced size firewall data.

A homomorphic encryption-based testing computing system provides a risk-based, automated, one-directional push of production data through a homomorphic encryption tool and distributes the encrypted data to use in testing of applications. Data elements and test requirements are considered when automatically selecting a homomorphic encryption algorithm. A decisioning component selects an algorithm to use to homomorphically encrypt the data set and a push mechanism performs one or both of the homomorphic encryption and distribution of the encrypted data set to at least one intended host. Once delivered, the testing software and/or testing procedures proceed using the encrypted data set, where results of the testing may be stored in a data store. A validation mechanism may validate the test data against production data and communicates whether testing was successful.

Comparing the performance of multiple versions or branches/paths of an application (e.g., a web service or application) may be conducted within a suitable computing environment. Such an environment may be virtual in nature, cloud-based, or server-based, and is hosted with tools for simultaneously (or nearly simultaneously) executing multiple containers or other code collections with the same or similar operating conditions (e.g., network congestion, resource contention, memory management schemes). By arranging the performance test of different application versions in different sequences executed in parallel in separate containers, fair comparisons of the tested applications will be obtained. Testing sequences may be executed multiple times, and metrics are collected during each execution. Afterward, the results for each metric for each code version are aggregated and displayed to indicate their relative performance quantitatively and/or qualitatively.

A display control apparatus includes a log processing unit that reads an operation log related to operation information and generates first and second object groups indicating operation information represented by first and second visualized representations in first and second two-dimensional planes of a three-dimensional, respectively, the second two-dimensional plane being that is different from the first two-dimensional plane, such that a position of a first object of the first object group and a position of a second object of the second object group which indicate same operation information match on a common axis of the first and second two-dimensional planes, a display control unit that sets a coordinate of each of the first and second objects on the common axis, and a visualization unit that draws an object corresponding to an instructed visualized representation in accordance with the coordinates to perform screen display.

An information processing apparatus includes a detection unit and first and second classification units. The detection unit detects an event which causes a state of at least one bank constituting dynamic random access memory (DRAM) to transition. The first classification unit classifies the at least one bank state based on the detected event. The second classification unit classifies a DRAM state based on the at least one bank state. Statistical information that is based on the at least one bank or DRAM state is displayed with respect to a predetermined unit time. The at least one bank state and the DRAM state each includes at least one of the following: an operating state, in which data is being transferred, an inoperative state, in which data transfer is not possible due to a predetermined constraint, or a pause state, in which, although there is no constraint, data is not being transferred.

Methods, systems, apparatuses, and computer-readable storage mediums are described for machine learning-based techniques for reducing the visual complexity of a dependency graph that is representative of an application or service. For example, the dependency graph is generated that comprises a plurality of nodes and edges. Each node represents a compute resource (e.g., a microservice) of the application or service. Each edge represents a dependency between nodes coupled thereto. A machine learning-based classification model analyzes each of the nodes to determine a likelihood that each of the nodes is a problematic compute resource. For instance, the classification model may output a score indicative of the likelihood that a particular compute resource is problematic. The nodes and/or edges having a score that exceed a predetermined threshold are provided focus via the dependency graph.

A system is configured to track and store system and event data for various computing devices. The system is configured to associate the various computing devices with profiles based at least in part on characteristics of the computing devices. The system is further configured to compare performance data and/or performance metrics for particular computing devices having a particular profile against all other devices that share the particular profile. The system then displays this comparison to a user of the particular computing device, substantially automatically diagnoses an issue with the particular computing device based on the performance and system event data, and/or enables the user to diagnose the problem based on the performance and system event data.

A method for testing an avionic computer having internal parameters of which only a subset of internal parameters is accessible to a test bench. The method includes connecting the avionic computer to the test bench, equipping the test bench with a test computer having software similar to software of the avionic computer, all of the internal parameters of which are accessible to the test bench, executing the software of the avionic computer in interaction with the test bench and executing the software of the test computer at the same time as the software of the avionic computer, and visualizing internal parameters belonging to the subset of internal parameters of the avionic computer and visualizing internal parameters of the test computer, corresponding to internal parameters of the avionic computer not belonging to the subset of internal parameters of the avionic computer, to check the conformity of operation of the software.

Diffing a subject replayable trace against a plurality of comparison replayable traces includes identifying a set of mappings among the comparison replayable traces, each identifying corresponding comparison sections of consecutive instructions recorded in the comparison replayable traces that execute equivalently. A plurality of distinct comparison sections are identified within the comparison replayable traces. Each of a plurality of subject sections within the subject trace is compared against distinct comparison section(s) to determine a comparison status for each subject section, including whether each subject section is (i) equal to at least one corresponding distinct comparison section, or (ii) different than the distinct comparison sections. The determined comparison status of at least one particular subject section with respect at least one particular corresponding distinct comparison section is applied to each additional comparison section to which the at least one particular distinct comparison section is mapped in the set of mappings.

A technology is disclosed for the efficient capturing of monitoring data capable to reconstruct the experience of a user during the interaction with an application on a mobile device. The proposed approach uses instrumentation to detect the occurrence of events that change the user interface of the monitored application and that, in response to such an event, identifies the fraction of the user interface that was altered by the event and then captures only the changed portion of the user interface display. Additionally, privacy configuration data is evaluated during the capturing process to identify portions of the user interface that contain data that is protected due to privacy policy settings. In case an event changes such a privacy protected user interface portion, only the occurrence of the event and the affected screen area are captured, but no actual display data.