Capital One Services, LLC

Pradeep Khandelwal

Ashish Kumar

Syed Mehmood

Ajay Gorre

Sujay Nagendrappa Beesnalli

Pooja Mulik

Vikram Tatavarthi

Jeremy Hanford

Kristaps Berzinch

Kishan Patel

Travis Hughes

Jonathon Snyder

Saugata Mondal

Sandeep Kumar

Mathew Verghese

Disclosed herein are various embodiments for a cloud resources allocation system. An embodiment operates by determining that an application requests a plurality of instances to execute across one or more processors of a cloud services platform. One or more spare instances are requested to fulfill at least a portion of the plurality of instances, and an allocation of at least a subset of the requested one or more spare instances is received. An execution of the application is directed to the allocated subset of the one or more spare instances, including a first spare instance. A notification is received from the cloud services platform that the first spare instance is to be reallocated to a different process. A subsequent execution of the application is redirected to an on demand instance of the cloud services platform.

Cloud resources allocation system

Disclosed are methods, systems, and non-transitory computer-readable medium for server-less complex event processing (CEP). For instance, the method may include hosting a plurality of server-less functions, the plurality of server-less functions including at least a first group of server-less functions, the first group of server-less functions including a driver function and at least one lookup function including a first lookup function; receiving data streams; and processing the data streams, using the driver function and/or the at least one lookup function, to publish a CEP data stream.

Complex event processing on server-less framework

Techniques for serverless performance testing of applications are provided. A user can indicate an application to test within a serverless computing framework. The user can specify parameters for testing the application. A performance test execution file can be generated based on the indicated application and the specified testing parameters. Serverless functions for implementing the testing of the application can be generated based on the performance test execution file. The serverless functions can be executed to implement the testing of the application code on a cloud-based computing resource. Test outputs can be generated and stored for review and analysis in real-time during the testing and after the testing is concluded.

Generic serverless performance testing framework

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Vienna, VA, United States of America

Pradeep Khandelwal