Cisco Technology, Inc.

Samudra Harapan Bekti

Antonio Nucci

Ahmed Khattab

Carlos M Pignataro

Richard Montgomery Plane

Duen-Uei D Chen

Alexander Sasha Stojanovic

Alex Van Truong

Prasad Potipireddi

Dragan Milosavljevic

Ping Pamela Tang

Athena Wong

John Oberon

Presented herein are methods associated with a Services Delivery Platform (SDP) architecture for a distributed application building blocks, such as microservices, deployment-agnostic. The system includes a central compute node and numerous remote compute nodes. Techniques are provided to 'onboard' and assimilate the capabilities of remote compute nodes so that they are an integrated part of the SDP system and can be accessed and used in connection with one or more services provided by the SDP system.

Automatically and remotely on-board services delivery platform computing nodes

Systems, methods, and computer-readable media for identifying an optimal cluster configuration for performing a job in a remote cluster computing system. In some examples, one or more applications and a sample of a production load as part of a job for a remote cluster computing system is received. Different clusters of nodes are instantiated in the remote cluster computing system to form different cluster configurations. Multi-Linear regression models segmented into different load regions are trained by running at least a portion of the sample on the instantiated different clusters of nodes. Expected completion times of the production load across varying cluster configurations are identified using the multi-linear regression models. An optimal cluster configuration of the varying cluster configurations is determined for the job based on the identified expected completion times.

Cost-optimal cluster configuration analytics package

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Fremont, CA, United States of America

Samudra Harapan Bekti