Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for automatically and dynamically analyzing a first subscriber system's telemetry information and crowdsourced telemetry information to dynamically evaluate at least one performance metric associated with at least one entity of the first subscriber system; and for automatically and dynamically initiating at least one modification of at least one configuration element at the first subscriber system based on the analysis of the first subscriber system telemetry information and crowdsourced telemetry information.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for automatically and dynamically analyzing a first subscriber system's telemetry information and crowdsourced telemetry information to dynamically evaluate at least one performance metric associated with at least one entity of the first subscriber system; and for automatically and dynamically initiating at least one modification of at least one configuration element at the first subscriber system based on the analysis of the first subscriber system telemetry information and crowdsourced telemetry information,

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Various aspects described or referenced herein are directed to different methods, systems, and computer program products for facilitating real-time optimization of computer-implemented application operations using machine learning techniques.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.

Abstract: Various aspects described herein are directed to different techniques for: evaluating server system reliability, vulnerability and component compatibility using crowdsourced server and vulnerability data; generating automated recommendations for improving server system metrics; and automatically and conditionally updating or upgrading system packages/components.