Software product by Project COLA (grant agreement no: 731574)

Autoscaling Framework
for Kubernetes
Deployments

Demos


MiCADO is a product of Project COLA (Cloud Orchestration at the Level of Application) which is an Innovation Action funded by the European Commission as part of the Horizon2020 Programme. Project COLA aims to increase the adoption of cloud computing services among small and medium-sized enterprises and public sector organizations. Within the COLA project (from January 2017 to September 2019) the following three demostrator solutions have been developed by project partners using MiDCADOscale's technology.

Evacuation Planning Service

Saker Solutions developed an Evacuation Planning Service in collaboration with the Brunel University. The Service is able to perform multiple iterations of the simulation in parallel to improve the overall runtime. MiCADO helped to

  • improve the quality of decision making by exploring a wider range of scenarios
  • allow to have greater confidence in decision making by running more replications
  • reduce the time to decision

Social Media Analytics for Public Sector Organisations

Inycom developed a recommendation system to improve citizens interaction with public services, collecting by means of Magician the information required from public sources in Internet (namely Twitter) for the Aragon Regional Government (represented by SARGA).

The main technical impacts of the demo are

  • Increased margins reducing operation costs
  • More efficient operation of infrastructure
  • No need to schedule/forecast system expansion/size
  • Increased customers’ satisfaction because of a more stable and faster system

Audience Analytics Solution

Audience Finder is a free national audience data and development tool, enabling cultural organisations to understand, compare and apply audience insights. Using MiCADO technology in the background it

  • provides horizontal scaling allowing to reduce the minimum server size for the Audience Finder application so that TAA can meet demand by scaling
    out, rather than paying for underutilized resources.
  • allows to use spare resources during off-peak hours to run the caching process without impacting website usage.