
This patch add the service "radosgw.usage" to collectors in order to allow rating on ceph object storage usage per project. The service unit is set to GB. The following work has been done: - Add radosgw.usage transformer for ceilometer - Add radosgw.usage collect function to ceilometer and gnocchi (new and deprecated format) - update doc Change-Id: Ia49c76a285950475ed0a9f15d35b2f23b11e5ef3
Team and repository tags
CloudKitty
Rating as a Service component
Goal
CloudKitty aims at filling the gap between metrics collection systems like ceilometer and a billing system.
Every metrics are collected, aggregated and processed through different rating modules. You can then query CloudKitty's storage to retrieve processed data and easily generate reports.
Most parts of CloudKitty are modular so you can easily extend the base code to address your particular use case.
You can find more information on its architecture in the documentation, architecture section.
Status
CloudKitty has been successfully deployed in production on different OpenStack systems.
You can find the latest documentation on readthedocs.
Contributing
We are welcoming new contributors, if you've got new ideas, suggestions or want to contribute contact us.
You can reach us thought IRC (#cloudkitty @freenode.net), or on the official OpenStack mailing list openstack-dev@lists.openstack.org.
A storyboard is available if you need to report bugs.
Additional components
We're providing an OpenStack dashboard (Horizon) integration, you can find the files in the cloudkitty-dashboard repository.
A CLI is available too in the python-cloudkittyclient repository.
Trying it
CloudKitty can be deployed with devstack, more information can be found in the devstack section of the documentation.
Deploying it in production
CloudKitty can be deployed in production on OpenStack Kilo environments, for more information check the installation section of the documentation. Due to oslo libraires new namespace backward compatibility is not possible. If you want to install it on an older system, use a virtualenv.