MesosCon EU 2016

Serverless computing platforms promise new capabilities that make writing scalable micro-services easier and more cost effective. These platforms provide a distributed compute service to execute application logic in response to events. Workload demands of serverless platforms can require thousands of concurrent short lived containers to be created and destroyed in milli-seconds. 

In this talk we will share the lessons learned when running these workloads in a Mesos environment to meet the performance demands of OpenWhisk, a serverless open-source computing platform. We will present our experience running workload experiments in Mesos, share Mesos tuning tips and workload generation code to make Mesos an ideal platform for serverless workloads.