Abstract: Systems and methods for identifying failed customer experience in distributed computer systems. An example method comprises: receiving, by an application performance management (APM) server associated with a distributed computer system, an application layer message associated with a request originated by a client computer system responsive to an action by a user; identifying a failed customer experience error by analyzing the application layer message; and causing a first graph to be rendered by a graphical user interface in a visual association with a second graph representing a number of user login events grouped by a pre-defined period of time, wherein the first graph represents a number of identified failed customer experience errors grouped by the pre-defined period of time.

Abstract: Systems and methods for visual presentation of metrics reflecting lifecycle events of software artifacts. An example method may comprise: receiving one or more data processing rules, each data processing rule specifying one or more operations to be performed on one or more raw data items reflecting lifecycle events associated with a software artifact; receiving, from one or more data collection agents, a plurality of raw data items; producing, by applying the data processing rules to the plurality of raw data items, a plurality of values of a metric reflecting lifecycle events associated with a plurality of software artifacts; and causing the values to be graphically represented using a graphical user interface (GUI) communicatively coupled to the processor.

Abstract: Systems and methods for visual presentation of metrics reflecting lifecycle events of software artifacts. An example method may comprise: receiving one or more data processing rules, each data processing rule specifying one or more operations to be performed on one or more raw data items reflecting lifecycle events associated with a software artifact; receiving, from one or more data collection agents, a plurality of raw data items; producing, by applying the data processing rules to the plurality of raw data items, a plurality of values of a metric reflecting lifecycle events associated with a plurality of software artifacts; and causing the values to be graphically represented using a graphical user interface (GUI) communicatively coupled to the processor.

Abstract: Systems and methods for visual presentation of metrics reflecting lifecycle events of software artifacts. An example method may comprise: receiving one or more data processing rules, each data processing rule specifying one or more operations to be performed on one or more raw data items reflecting lifecycle events associated with a software artifact; receiving, from one or more data collection agents, a plurality of raw data items; producing, by applying the data processing rules to the plurality of raw data items, a plurality of values of a metric reflecting lifecycle events associated with a plurality of software artifacts; and causing the values to be graphically represented using a graphical user interface (GUI) communicatively coupled to the processor.

Abstract: Systems and methods for identifying failed customer experience in distributed computer systems. An example method comprises: receiving, by an application performance management (APM) server associated with a distributed computer system, an application layer message associated with a request originated by a client computer system responsive to an action by a user; identifying a failed customer experience error by analyzing the application layer message; and causing a first graph to be rendered by a graphical user interface in a visual association with a second graph representing a number of user login events grouped by a pre-defined period of time, wherein the first graph represents a number of identified failed customer experience errors grouped by the pre-defined period of time.

Abstract: Systems and methods for identifying failed customer experience in distributed computer systems. An example method may comprise: receiving, by a processing device of a distributed computer system, a first application layer message associated with a request originated by a client computer system responsive to an action by a user, wherein the first application layer message comprises a transaction identifier identifying a sequence of messages originated by one or more components of the distributed computer system and associated with the request; identifying a pre-defined byte pattern comprised by the first application layer message; and identifying, based on the pre-defined byte pattern, at least one of: a system error associated with the transaction or an application error associated with the transaction.

Abstract: Systems and methods for visual presentation of metrics reflecting lifecycle events of software artifacts. An example method may comprise: receiving one or more data processing rules, each data processing rule specifying one or more operations to be performed on one or more raw data items reflecting lifecycle events associated with a software artifact; receiving, from one or more data collection agents, a plurality of raw data items; producing, by applying the data processing rules to the plurality of raw data items, a plurality of values of a metric reflecting lifecycle events associated with a plurality of software artifacts; and causing the values to be graphically represented using a graphical user interface (GUI) communicatively coupled to the processor.

Abstract: Systems and methods for identifying failed customer experience in distributed computer systems. An example method may comprise: receiving, by a processing device of a distributed computer system, a first application layer message associated with a request originated by a client computer system responsive to an action by a user, wherein the first application layer message comprises a transaction identifier identifying a sequence of messages originated by one or more components of the distributed computer system and associated with the request; identifying a pre-defined byte pattern comprised by the first application layer message; and identifying, based on the pre-defined byte pattern, at least one of: a system error associated with the transaction or an application error associated with the transaction.