Audience Finder w/ MiCADOscale

Automated CPU scaling

Audience Finder is a WordPress-based web-app to analyse and apply audience insides. It suffered from irregular CPU bursts which were coped with more static resources that were kept on idle. MiCADOscale performed CPU demand-based scaling on Container and Virtual Machine level. This resulted in a stable and cost-efficient production environment.

scaling metrics CPU loadoptimized capital expenditureseconomic benefitsoptimized operation costs & efficiencydemand oriented CPU bursts tackeld by scalability of VM‘seasy maintananceideal allocation of application to debugfailure resistancydue to MiCADOscale‘s self-healing properties Audience Finder w/ MiCADOSoftwareAudience FinderDeveloped byThe Audience Agencyunderstand, compare and apply audience insightsOpen-Source noweb applicationbottleneckCPU burstsscaling_levelvirtual instancesprogram_typescaleand container Open requests Network Latency

Automated CPU scaling of Container & VMs

Audience Finder w/ MiCADOscale is an industrial demonstrator of the COLA Project (2016-2019).

The COLA Project – Cloud Orchestration at the Level of Application (COLA) receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731574  

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