Abstract: In accordance with an embodiment, described herein is a system and method for database replication benchmark testing. The system can include one or more microservices configured to collect performance metrics from a testing environment, and a plurality of workload configurations that define different types of pipelines. Each pipeline can be used to execute a workload, and use different techniques to handle errors during the execution of the pipeline. A pipeline control manager can receive a workload configuration, and identify a pipeline defined therein. The pipeline control manager can invoke the one or more microservices to collect performance metrics from the testing environment, and use the collected performance metrics to validate the testing environment before starting the workload. Performance metrics from each pipeline stage can be consolidated and displayed at a user interface. The system can automatically select a workload configuration based on a replication feature to be tested.

Abstract: In accordance with an embodiment, described herein is a system and method for database replication benchmark testing. The system can include one or more microservices configured to collect performance metrics from a testing environment, and a plurality of workload configurations that define different types of pipelines. Each pipeline can be used to execute a workload, and use different techniques to handle errors during the execution of the pipeline. A pipeline control manager can receive a workload configuration, and identify a pipeline defined therein. The pipeline control manager can invoke the one or more microservices to collect performance metrics from the testing environment, and use the collected performance metrics to validate the testing environment before starting the workload. Performance metrics from each pipeline stage can be consolidated and displayed at a user interface. The system can automatically select a workload configuration based on a replication feature to be tested.

Abstract: In accordance with an embodiment, described herein is a system and method for database replication benchmark testing. The system can include one or more microservices configured to collect performance metrics from a testing environment, and a plurality of workload configurations that define different types of pipelines. Each pipeline can be used to execute a workload, and use different techniques to handle errors during the execution of the pipeline. A pipeline control manager can receive a workload configuration, and identify a pipeline defined therein. The pipeline control manager can invoke the one or more microservices to collect performance metrics from the testing environment, and use the collected performance metrics to validate the testing environment before starting the workload. Performance metrics from each pipeline stage can be consolidated and displayed at a user interface. The system can automatically select a workload configuration based on a replication feature to be tested.

Abstract: The present invention provides a method to provide inferred intentional data analysis to user (s), using sensory data from IoT devices. The method includes step of acquiring plurality of sensory data from one or more IoT devices present in one or more locations, wherein the sensory data is acquired through a DCU (Data Control Unit). The acquired sensory data is routed through DCU to store and collate in the cloud server. The stored sensory data is analyzed in the cloud server to provide the information based on the analysis of stored sensory data, wherein the obtained information is sent to plurality of smart devices. Furthermore, the user's intention is received through the smart devices and stored in the cloud server. Finally, the user's intention is filtered and processed for decision making in cloud server by using sensory data acquired from chosen set of IoT devices as per user's intention.