Abstract: Various embodiments described herein relate to a contextualized time series database and/or multi-tenant server system deployment. In this regard, a request to obtain one or more insights with respect to contextualized time series data related to one or more assets is received. The request includes at least an insight descriptor describing a goal for the one or more insights. In response to the request, attributes of the contextualized time series data are correlated based on the insight descriptor to provide the one or more insights. Furthermore, in response to the request, one or more actions related to the one or more assets are performed based on the one or more insights.

Abstract: Methods, systems, and computer-readable media for implementing computing resource forecasting and optimization are disclosed. A projected service call volume is determined for a particular service for a future period of time. A set of computing resources is determined to support the projected service call volume for the particular service. The set of computing resources is determined based on automated analysis of the projected service call volume and is calibrated for throughput for the particular service. The set of computing resources is allocated to provide the particular service for the future period of time.