Abstract: Systems, methods, and apparatuses are described for validating compliance in disaster recovery exercises (DREs). In conducting a DRE, a method may collect network data and may enrich the collected network data with application data. The method may simulate the unavailability of a cloud network node, collect network data in the new configuration, compare the two collected network data sets, and determine applications that rely on the simulated unavailable cloud network node. The method may indicate which application was resilient to the simulated unavailable network cloud node based on its determination. By enriching, the method may create a mapping to trace each traffic packet back to a specific application and verify whether the specific application's performance complies with the DRE. Unlike the current methods that lead to time-consuming manual analyses that are prone to false positives, the method may validate compliance in an automated way in a near-real-time fashion.

Abstract: A processor may generate a UI. The processor may instantiate a plurality of collectors. Each collector may be configured to collect data in real time from a separate one of a plurality of data sources. Each data source may include a different type of data relating to at least one of a plurality of software delivery pipeline tasks. The processor may separately and continuously collect data from each of the plurality of data sources using the plurality of collectors. The processor may separately and continuously analyze the stored data from each of the plurality of data sources to generate a plurality of code quality metrics for the plurality of software delivery pipeline tasks. The processor may continuously report the plurality of code quality metrics through the UI.

Abstract: A processor may generate a UI. The processor may instantiate a plurality of collectors. Each collector may be configured to collect data in real time from a separate one of a plurality of data sources. Each data source may include a different type of data relating to at least one of a plurality of software delivery pipeline tasks. The processor may separately and continuously collect data from each of the plurality of data sources using the plurality of collectors. The processor may separately and continuously analyze the stored data from each of the plurality of data sources to generate a plurality of code quality metrics for the plurality of software delivery pipeline tasks. The processor may continuously report the plurality of code quality metrics through the UI.

Abstract: A processor may generate a UI. The processor may instantiate a plurality of collectors. Each collector may be configured to collect data in real time from a separate one of a plurality of data sources. Each data source may include a different type of data relating to at least one of a plurality of software delivery pipeline tasks. The processor may separately and continuously collect data from each of the plurality of data sources using the plurality of collectors. The processor may separately and continuously analyze the stored data from each of the plurality of data sources to generate a plurality of code quality metrics for the plurality of software delivery pipeline tasks. The processor may continuously report the plurality of code quality metrics through the UI.