Ceilometer can collect a large amount of data, particularly in a system with large amount of servers and high activity: in such a scenario, the numbers of meters and samples can be large which affects ceilometer performance and gives rise to quite large databases. In our particular case we are studying energy consumption in servers and how resource utilization (mainly cpu) may relates to overall energy consumption. The energy data is collected through Kwapi and stored in ceilometer every 10 seconds (yes, this is probably too fine-grained!). We had problems that the database accumulated too quickly, filling up the root disk partition on the controller and causing significant problems for the system. In this blog post, we describe the approach we now use for managing ceilometer data which ensures that the resources consumed by ceilometer remain under control. Continue reading
The relocation of the ICCLab hardware and the integration of 9 additional nodes is now complete. The whole movement was done within one day thanks to the support of Pietro, Philipp and Michael – Thanks Guys! Now our lab runs 15 compute nodes, 1 controller node and 1 NAS. We will segment this infrastructure to build a development environment including 10 nodes where we can develop and test our work on OpenStack and a production environment including 5 nodes for production purposes. As the next step we are will to redeploy OpenStack by means of automation tools Puppet and Foreman as was presented at the EGI Technical Forum. Let’s see how fast we can deploy 15 nodes from scratch! We’ll be studying, timing and evaluating it!