Abstract: A system and method for real-time operational predictive scoring of components and services of an information technology system (ITS) for forecasting and assessing performance of the components of the ITS are provided. A data pipeline is configured to collect and store, in real-time, multiple time series signals corresponding to health, performance, and functionality of each of the components of the ITS. An operational predictive score (OPS) engine of a scoring module calculates an OPS for each of the time series signals. An OPS roll-up module of the scoring module calculates an OPS for each of the components and services in the ITS by aggregating the OPS for the individual time series signals. An alerting engine to notify operational issues and provide root cause analysis using OPS score decomposition. A visualization layer for OPS based analytics.

Abstract: A system and method for analyzing telemetry of a technology system and generating automated insights are provided. The system receives telemetry from the technology system. The system identifies key metric types in the received telemetry and parses the telemetry. The system categorizes the parsed telemetry and applies domain specific context and rules to the categorized telemetry. The system performs on-demand operations on the categorized telemetry and generates a list of insights based on user preferences. The system generates insightful information comprising human readable text statements, proactive actionable suggestions for preventive measures, predictive forecast of upcoming events, and any combination thereof, for each of the insights. The system creates an output dashboard for the generated insightful information and displays the output dashboard on the user device.

Abstract: A system and method for real-time operational predictive scoring of components and services of an information technology system (ITS) for forecasting and assessing performance of the components of the ITS are provided. A data pipeline is configured to collect and store, in real-time, multiple time series signals corresponding to health, performance, and functionality of each of the components of the ITS. An operational predictive score (OPS) engine of a scoring module calculates an OPS for each of the time series signals. An OPS roll-up module of the scoring module calculates an OPS for each of the components and services in the ITS by aggregating the OPS for the individual time series signals. An alerting engine to notify operational issues and provide root cause analysis using OPS score decomposition. A visualization layer for OPS based analytics.