DeveloperWeek 2021 DeveloperWeek 2021
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PRO WORKSHOP: In-Memory Computing: How to Fight Your Serverless Code's Idle Time

DeveloperWeek PRO Stage C
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Denis Magda
GridGain, Head of DevRel

Denis Magda is an open-source enthusiast who started his journey in Sun Microsystems as a developer advocate and presently settled down at Apache Software Foundation in the roles of Apache Ignite committer and PMC member. He is an expert in distributed systems and platforms who actively contributes to Apache Ignite and helps companies to build successful open-source projects. You can be sure to come across Denis at conferences, workshops and other events sharing his knowledge about the open-source, community building, distributed systems.

With serverless computing, you pay for the resources that your application consumes. The longer your serverless code runs, the more you pay. The longer your serverless code remains idle, waiting for a backend response, the more you pay. The longer your database handles a write-request sent by serverless code, the more you pay. At the extreme, the idle time of serverless functions can represent two-thirds of your monthly bill, and you question why somebody selected the serverless architecture in the first place.

In this session, you learn how to use in-memory computing to reduce idle time and accelerate the execution of serverless code. The provisioning of an in-memory cluster is a prerequisite, not a game-changer. Dramatic differences become apparent when you consider several tactics while fastening serverless code to your just-provisioned in-memory cluster.