Embodiments relate to a computer platform to support processing of informational logs and corresponding performance data to detect and mitigate occurrence of anomalous behavior. Metrics are extracted from the informational logs and correlated with performance data, and in an exemplary embodiment golden signal metrics. A window or block of the logs is classified as potential candidates or indicators of anomalous behavior, which in an embodiment is indicative of potential failure or service outage. A control signal is dynamically issued to an operatively coupled device associated with the window or block of logs. The control signal is configured to selectively control a state of a physical device or process controlled by software, with the control directed at mitigating or eliminating the effect(s) of the anomalous behavior.

An instrumentation analysis system processes data streams by executing instructions specified using a data stream language program. The data stream language allows users to specify a search condition using a find block for identifying the set of data streams processed by the data stream language program. The set of identified data streams may change dynamically. The data stream language allows users to group data streams into sets of data streams based on distinct values of one or more metadata attributes associated with the input data streams. The data stream language allows users to specify a threshold block for determining whether data values of input data streams are outside boundaries specified using low/high thresholds. The elements of the set of data streams input to the threshold block can dynamically change. The low/high threshold values can be specified as data streams and can dynamically change.

A processing unit can include a performance monitor for monitoring the performance of the processing unit and associated sub-units. The performance monitor can include a state machine. The state machine can be implemented via state machine data entries stored in a memory associated with the performance monitor. A state machine data entry includes information indicating a state transition condition and output signals. The state transition condition includes a current state and input signals required to meet the condition. The output signals include a next state, one or more counter actions, and one or more triggers. The performance monitor implements logic circuits that determine, based on input signals and the state machine data entries, the next state to transition and associated output signals. The state machine data entries can be written and re-written by a user.

This document describes a framework for measuring and improving the performance of applications, such as distributed applications and web applications. In one aspect, a method includes performing a test on an application. The test includes executing the application on one or more computers and, while executing the application, simulating a set of workload scenarios for which performance of the application is measured during the test. While performing the test, a set of performance metrics that indicate performance of individual components involved in executing the application during the test is obtained. A knowledge graph is queried using the set of performance metrics. The knowledge graph links the individual components to corresponding performance metrics and defines a set of hotspot conditions that are each based on one or more of the corresponding performance metrics for the individual components. A given hotspot condition is detected based on the set of performance metrics.

Systems and methods for detecting, e.g., that a Network Function (NF) service consumer in a core network of a cellular communications system has restarted are disclosed. In some embodiments, a method of operation of a NF service consumer in a core network of a cellular communications system comprises sending, to a NF service producer, a message comprising information related to a unit of the NF service consumer.

Implementations described herein relate to various techniques that enable an improved automated assistant suggestion service for vehicle(s). For example, implementations can initialize and perform a recurring system health check service to ensure a connection is maintained between at least an OEM application of an in-vehicle computing device of a given vehicle and the suggestion service accessible by the in-vehicle computing device of the given vehicle. By ensuring this connection is maintained, the suggestion service is less prone to failure and suggestion(s) may still be provided in situations when the suggestion service does fail. Additionally, or alternatively, implementations can utilize a versioning API to ensure compatibility between at least the OEM application and the suggestion service. By ensuring this compatibility, the suggestion service for the vehicle(s) is more robust to version updates and the applications need not be fully compatible.

A method and system for detecting anomaly transition point candidates in performance metadata. The method can be applied to computer system performance monitoring. Anomaly candidates, indicative of a possible transition, of a process generating the performance metadata, to or from an anomalous behavior mode are identified, for example by comparing z-scores to the left and right of various timestamps and identifying anomaly candidates when the z-scores are significantly different. Anomaly candidates occur singularly rather than as pairs of endpoints of an anomaly interval. For at least one of the anomaly candidates, an explanatory predicate, indicative of a human-readable explanation of behavior of the process, can be generated. The set of anomalies can then be filtered, for example by removing those without explanatory predicates or replacing clusters of anomalies with a most relevant anomaly.

Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions according to review and approval workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows and/or microservices. Other aspects may provide for data snapshots and workflow tracking, allowing for monitoring, quality control, and auditability of transactions on the transaction exchange platform.

In some examples, a system processes event data and video frames produced by a program during execution of the program, the event data representing user actions with respect to a graphical user interface (GUI) of the program. The system identifies an area of the GUI that corresponds to a respective user action of the user actions, wherein identifying the area of the GUI uses a first video frame before an event corresponding to the respective user action, and a second video frame after the event corresponding to the respective user action. The system identifies, based on the identified area, a test object representing a user interface (UI) element, and generates a test script for testing the program, the test script including the test object.

Policies can be applied to, and enforced for, specific resources by applying a corresponding tag to those resources. An entity, such as a customer of a resource provider, can generate one or more policies to be applied to a set of resources, where those policies can relate to data retention, backup, lifecycle events, and other such aspects. Each policy can be associated with a particular tag, which may comprise a key-value pair to be applied to various resources. A policy enforcement manager can determine the tagged resources and ensure that the relevant policies are applied. The policies can include logic or intelligence for performing a variety of tasks with respect to resources, groups of resources, or types of resources, as identified using the tags.