A workload manager uses on-band and off-band metrics to select a host server in a cluster to handle a connection request. The on-band metrics include CPU usage, memory usage, and vulnerability metrics. The off-band metrics include hardware component error logs. Utilization and vulnerability scores are calculated for each host server from the on-band metrics. A reliability score is calculated for each host server from the off-band metrics. A health score for each host server is calculated from the vulnerability and reliability scores. The health score is used to exclude unhealthy host servers from consideration. A priority score is calculated for each host server from the utilization, vulnerability, and reliability scores. The host server that has not been excluded and has the greatest priority score is selected to handle the connection request.

An enterprise management platform is configured to host a respective instance for multiple client networks. The enterprise management platform receives incoming data including one or more metrics being tracked in the incoming data by the enterprise management platform. For each metric of the one or more metrics, a determination is made that a statistic generator is to be processed for the corresponding metric, and responsive to determining that the statistic generator is to be processed, a statistic is generated using the statistic generator. For each statistic, a news score is generated, using a news evaluator, to convert the statistic generator to a news score. The news scores are then sorted and stored in a database disposed within the enterprise management platform.

Systems and methods discussed herein provide for real-time and near-real-time analysis of performance for cell towers in order to determine when a cell tower is underperforming in order to perform corrective action before underperformance becomes an increased maintenance and/or service concern. Data is received at periodic intervals from a plurality of cell towers and a plurality of scripts are executed on the data as it is received in order to analyze key performance indicators associated with each tower. The received data is analyzed using real-time data and in some cases by applying the real-time data to a previously developed model to determine if a cell tower is underperforming based on at least one key performance indicator associated with that cell tower.

A computer device may include a processor configured to obtain key performance indicator (KPI) values for KPI parameters associated with at least one device and compute a set of historical statistical values for the obtained KPI values associated with the network device. The processor may be further configured to provide the KPI values and the computed set of historical statistical values to an anomaly detection model to identify potential anomalies; filter the identified potential anomalies based on a designated desirable behavior for a particular KPI parameter to identify at least one anomaly; and send an alert that includes information identifying the at least one anomaly to a management system or a repair system associated with the device. The computer device may further determine a root cause KPI parameter for the identified at least one anomaly and include information identifying the determined root cause KPI parameter in the alert.

Methods and systems are disclosed for modeling the performance of an IT service. The methods and systems take a holistic approach by treating the entire IT service instead of the individual nodes. In one implementation, the methods and systems provide a tool for mapping the performance of the IT service based on throughput and response time data. The tool may then be used to develop a mathematical model for the performance of the IT service. System parameters that may impact the performance of the IT service may be correlated to variables in the model. The model may then be used to predict the impact changes may have on the performance of the IT service. Performance maps for the same IT service may be compared over time to discern any departure from a norm. A database of performance maps may be established for a particular industry to facilitate intra-industry comparisons.

An infrastructure management subsystem receives a selection of a planned configuration of the computing infrastructure and a baseline demand that includes a current usage of computing resources of the computing infrastructure. The infrastructure management subsystem determines an anticipated turbulence. The anticipated turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure demand as a function of time. The infrastructure management subsystem determines an effective turbulence for the planned infrastructure configuration. The effective turbulence includes a quantitative indication of anticipated fluctuations in future infrastructure availability. The infrastructure management subsystem determines a configuration score corresponding to an extent to which the anticipated fluctuations in the effective turbulence destructively interfere with the anticipated fluctuations in the anticipated turbulence.

Stabilizing a container-based application includes determining a health of a container. Based on the container health, a most recent stable version of an image for the container is identified. A container image is considered stable if containers spawned from the image have a relatively high MTTF and relatively low MTTR compared to other versions of same image. The container is then deployed using the most recent stable version of the image for the container.

A system may include a database disposed within a remote network management platform, a server device disposed in the platform, and a client device. The database may contain representations of configuration items, such as computing devices and software applications associated with the managed network. The server device may provide a graphical user interface including a sequence of panes to the client device. The sequence of panes may include an identifier pane, an identification rules pane, and a reconciliation pane. Each pane may include data entry fields that are operable to define a new class of configuration item. The server device may receive, by way of the graphical user interface, a definition of the new class that uniquely identifies configuration items of a particular type using at least the attributes. The server may store, in the database, the definition of the new class.

This application sets forth various techniques for monitoring a status of a service. According to some embodiments, a DNS server can implement a health check engine that monitors the status of the service in order to implement round-robin DNS among a plurality of availability zones. Each service instance for the service can include a monitoring agent configured to (1) monitor the status of the service instance, and (2) respond to health check messages received from the health check engine. The monitoring agent can also be configured to (1) collect statistics associated with one or more service dependencies of the service instance during a tracking window, (2) calculate at least one ratio based on the statistics collected during the tracking window, and (3) generate the status of the service instance by comparing the at least one ratio to a threshold value.

The present disclosure relates to a pre-5.sup.th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4.sup.th-Generation (4G) communication system such as Long Term Evolution (LTE). Provided are a method and an apparatus for network quality management. An operating method of a controller apparatus for measuring a network quality according to various embodiments of the present disclosure comprises the steps of: receiving a message including information on targets, the network quality of which is to be measured; determining a path between the targets; transmitting information on the path to at least one different network element (NE); and transmitting a measurement request message to at least one of the targets so as to measure the network quality on the basis of the information on the path. Therefore, the method and the apparatus according to various embodiments of the present disclosure can efficiently manage the quality of a network.