I am one of the folks working on Valence, i'd love feedback on what we are doing.
Valence attempts to solve for performance management by giving folks a declarative way of setting performance objectives and having a controller go and meet those objectives. Though the Kubernetes autoscalers allow something like this, we wanted to build something that is higher level so that folks wouldn't have to worry about the details of analyzing their applications, instrumenting them, and coming up with the optimial autoscaler thresholds and configs.
Under the hood, Valence is a simple feedforward control system that learns the dynamics of an application - forecasts its load and applies the optimial controls in order to continually meet those objectives. We have found it pretty effective at reducing cost and performance violations so now we are launching it to a wider audience to get feedback and start working on extending Valences effectiveness in other operational environments and other types of performance objectives.
I am one of the folks working on Valence, i'd love feedback on what we are doing.
Valence attempts to solve for performance management by giving folks a declarative way of setting performance objectives and having a controller go and meet those objectives. Though the Kubernetes autoscalers allow something like this, we wanted to build something that is higher level so that folks wouldn't have to worry about the details of analyzing their applications, instrumenting them, and coming up with the optimial autoscaler thresholds and configs.
Under the hood, Valence is a simple feedforward control system that learns the dynamics of an application - forecasts its load and applies the optimial controls in order to continually meet those objectives. We have found it pretty effective at reducing cost and performance violations so now we are launching it to a wider audience to get feedback and start working on extending Valences effectiveness in other operational environments and other types of performance objectives.