Salesforce Com, Inc.

Carl Morgenstern

Daisuke Kawamoto

Sudhish Iyer

Ana Bertran

Nicholas Roan

Dmitry Volkov

Kunal Vashi

Zahid Rahman

Steve Bobrowski

Chin Lee

Multitier, multitenant architecture of pods comprise multiple stacks with different metrics and workload compositions that constantly change over time. A computer system may identify an overall pod time-to-live (TTL) based on the changing metrics and workloads. The TTL may be a forecasted time that pod remediation is needed to avoid negative impact on pod performance and customer experience. Additionally, the computer system may identify the appropriate remediation(s) for each pod. The computer system may compare and prioritize remediations across a collection of pods with different configurations and workload characteristics based on the TTLs. Other embodiments may be described and/or claimed.

Technologies for capacity remediation in multi-tenant cloud environments

System and methods are described for deriving normalized infrastructure metrics to represent customer experience of a cloud computing system, continuously evaluating a profile for a tenant of the cloud computing system and determining a customer experience indicator for the tenant in real-time or near real-time, without losing accuracy, based at least in part on the infrastructure metrics and the profile.

Computation of customer experience metrics in a multi-tenant cloud computing environment

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San Francisco, CA, United States of America

Carl Morgenstern