Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a communication platform. The individual profile telemetry may represent an amount and/or frequency of communications between a user and one or more other users of the communication platform. In some examples, the individual profile telemetry may represent an amount of interactions the user has with an object of the communication platform, such as a communication channel, a communication transmitted via the communication channel, a direct messaging instance, or the like. The communication platform may determine the amount and/or frequency of interactions and provide an indication thereof to the user via an interface associated with the communication platform.

Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.

Abstract: Media, methods, and systems are disclosed for optimizing performance of a running application in connection with a group-based communication system. Log data is collected regarding prior metrics for applications that have encountered performance events. Application state information is monitored and a machine-learning model mapping application metrics to performance outcomes predicts whether the running application will encounter a performance event. The machine-learning model mapping application metrics to performance outcomes is trained based on the collected logs. Based on whether a degradation outcome will be impactful, an application performance parameter may be degraded.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a communication platform. The individual profile telemetry may represent an amount and/or frequency of communications between a user and one or more other users of the communication platform. In some examples, the individual profile telemetry may represent an amount of interactions the user has with an object of the communication platform, such as a communication channel, a communication transmitted via the communication channel, a direct messaging instance, or the like. The communication platform may determine the amount and/or frequency of interactions and provide an indication thereof to the user via an interface associated with the communication platform.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a group-based communication system.

Abstract: Provided is a group-based communication interface and an apparatus configured to programmatically generate and provide digests of relevant group-based communications transmitted between a plurality of client devices and a group-based communication system.

Abstract: Provided is a group-based communication interface and an apparatus configured to programmatically generate and provide digests of relevant group-based communications transmitted between a plurality of client devices and a group-based communication system.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for discovery of individual profile telemetry within a group-based communication system.