Edit /etc/cloudkitty/cloudkitty.conf to configure cloudkitty.
Then you need to know which keystone API version you use (which can be
determined using openstack endpoint list)
The first thing to set is the authentication method wished to reach Cloudkitty API endpoints.
If wanted, you can choose to not set any authentication method.
This should be set in the DEFAULT block of the configuration file owing to
the auth_strategy field:
[DEFAULT]
verbose = True
log_dir = /var/log/cloudkitty
# oslo_messaging_rabbit is deprecated
transport_url = rabbit://RABBIT_USER:RABBIT_PASSWORD@RABBIT_HOST
auth_strategy = noauth
Otherwise, the only other officially implemented authentication method is
keystone. More methods will be implemented soon. It should be set in the
DEFAULT configuration block too, with the auth_stategy field.
[DEFAULT]
verbose = True
log_dir = /var/log/cloudkitty
# oslo_messaging_rabbit is deprecated
transport_url = rabbit://RABBIT_USER:RABBIT_PASSWORD@RABBIT_HOST/
auth_strategy = keystone
[auth]
username = cloudkitty
password = CK_PASSWORD
tenant = service
region = RegionOne
url = http://KEYSTONE_HOST:5000/v2.0
[keystone_authtoken]
username = cloudkitty
password = CK_PASSWORD
project_name = service
region = RegionOne
auth_url = http://KEYSTONE_HOST:5000/v2.0
auth_plugin = password
[database]
connection = mysql://CK_DBUSER:CK_DBPASSWORD@DB_HOST/cloudkitty
[storage]
backend = sqlalchemy
[keystone_fetcher]
username = cloudkitty
password = CK_PASSWORD
tenant = service
region = RegionOne
url = http://KEYSTONE_HOST:5000/v2.0
[collect]
collector = ceilometer
period = 3600
services = compute, volume, network.bw.in, network.bw.out, network.floating, image
[ceilometer_collector]
username = cloudkitty
password = CK_PASSWORD
tenant = service
region = RegionOne
url = http://KEYSTONE_HOST:5000/v2.0
Note
http://KEYSTONE_HOST:5000/v2.0 and http://KEYSTONE_HOST:35357/v2.0 are your
identity endpoints.service is also commonly called servicesThe following shows the basic configuration items:
[DEFAULT]
verbose = True
log_dir = /var/log/cloudkitty
# oslo_messaging_rabbit is deprecated
transport_url = rabbit://RABBIT_USER:RABBIT_PASSWORD@RABBIT_HOST/
auth_strategy = keystone
[ks_auth]
auth_type = v3password
auth_protocol = http
auth_url = http://KEYSTONE_HOST:5000/
identity_uri = http://KEYSTONE_HOST:35357/
username = cloudkitty
password = CK_PASSWORD
project_name = service
user_domain_name = default
project_domain_name = default
debug = True
[keystone_authtoken]
auth_section = ks_auth
[database]
connection = mysql://CK_DBUSER:CK_DBPASSWORD@DB_HOST/cloudkitty
[keystone_fetcher]
auth_section = ks_auth
keystone_version = 3
[tenant_fetcher]
backend = keystone
Note
The tenant named service is also commonly called services
It is now time to configure the storage backend. Four storage backends are
available: sqlalchemy, hybrid, gnocchihybrid, and gnocchi.
[storage]
backend = gnocchi
As you will see in the following example, collector and storage backends
sometimes need additional configuration sections. (The tenant fetcher works the
same way, but for now, only Keystone is supported). The section’s name has the
following format: {backend_name}_{backend_type} (gnocchi_collector for
example), except for storage_gnocchi.
Note
The section name format should become {backend_type}_{backend_name} for
all sections in the future (storage_gnocchi style).
If you want to use the pure gnocchi storage or the hybrid storage with a gnocchi backend, add the following entry:
[storage_gnocchi]
auth_section = ks_auth
Three collectors are available: Ceilometer (deprecated, see the Telemetry documentation), Gnocchi and Monasca. The Monasca collector collects metrics published by the Ceilometer agent to Monasca using Ceilosca.
The collect information, is separated from the Cloudkitty configuration file, in a yaml one.
This allows Cloudkitty users to change metrology configuration, without modifying source code or Cloudkitty configuration file.
[collect]
metrics_conf = /etc/cloudkitty/metrics.yml
[gnocchi_collector]
auth_section = ks_auth
The /etc/cloudkitty/metrics.yml file looks like this:
- name: OpenStack
  collector: gnocchi
  period: 3600
  wait_periods: 2
  window: 1800
  services:
    - compute
    - volume
    - network.bw.in
    - network.bw.out
    - network.floating
    - image
  services_objects:
    compute: instance
    volume: volume
    network.bw.out: instance_network_interface
    network.bw.in: instance_network_interface
    network.floating: network
    image: image
    radosgw.usage: ceph_account
  services_metrics:
    compute:
      - vcpus: max
      - memory: max
      - cpu: max
      - disk.root.size: max
      - disk.ephemeral.size: max
    volume:
      - volume.size: max
    network.bw.in:
      - network.incoming.bytes: max
    network.bw.out:
      - network.outgoing.bytes: max
    network.floating:
      - ip.floating: max
    image:
      - image.size: max
      - image.download: max
      - image.serve: max
    radosgw.usage:
      - radosgw.objects.size: max
  metrics_units:
    compute:
      1:
        unit: instance
    volume:
      volume.size:
        unit: GiB
    network.bw.in:
      network.incoming.bytes:
        unit: MB
        factor: 1/1000000
    network.bw.out:
      network.outgoing.bytes:
        unit: MB
        factor: 1/1000000
    network.floating:
      1:
        unit: ip
    image:
      image.size:
        unit: MiB
        factor: 1/1048576
    radosgw.usage:
      radosgw.objects.size:
        unit: GiB
        factor: 1/1073741824
    default_unit:
      1:
        unit: unknown
Conversion information is included in the yaml file. It allows operators to change metrics units for rating and so to not stay stuck with the original unit.
The conversion information must be set for each metric. It includes optionals factor and offset, plus a mandatory final unit (used once the conversion is done). By default, factor and offset are 1 and 0 respectively. All type of linear conversions are so covered. The complete formula looks like:
new_value = (value * factor) + offset
MySQL/MariaDB is the recommended database engine. To setup the database, use
the mysql client:
mysql -uroot -p << EOF
CREATE DATABASE cloudkitty;
GRANT ALL PRIVILEGES ON cloudkitty.* TO 'CK_DBUSER'@'localhost' IDENTIFIED BY 'CK_DBPASSWORD';
EOF
If you need to authorize the mysql user associated to cloudkitty from another host you have to change the line accordingly.
Run the database synchronisation scripts:
cloudkitty-dbsync upgrade
Init the storage backend:
cloudkitty-storage-init
cloudkitty uses Keystone for authentication, and provides a rating service.
To integrate cloudkitty to Keystone, run the following commands (as OpenStack administrator):
openstack user create cloudkitty --password CK_PASSWORD --email cloudkitty@localhost
openstack role add --project service --user cloudkitty admin
Give the rating role to cloudkitty for each project that should be
handled by cloudkitty:
openstack role create rating
openstack role add --project XXX --user cloudkitty rating
Create the rating service and its endpoints:
openstack service create rating --name cloudkitty \
    --description "OpenStack Rating Service"
openstack endpoint create rating --region RegionOne \
    public http://localhost:8889
openstack endpoint create rating --region RegionOne \
    admin http://localhost:8889
openstack endpoint create rating --region RegionOne \
    internal http://localhost:8889
Note
The default port for the API service changed from 8888 to 8889
in the Newton release. If you installed Cloudkitty in an
earlier version, make sure to either explicitly define the
[api]/port setting to 8888 in cloudkitty.conf, or update
your keystone endpoints to use the 8889 port.
Start the processing services:
systemctl start cloudkitty-processor.service
Start the processing services:
cloudkitty-processor --config-file /etc/cloudkitty/cloudkitty.conf
Cloudkitty includes the cloudkitty-api command. It can be
used to run the API server. For smaller or proof-of-concept
installations this is a reasonable choice. For larger installations it
is strongly recommended to install the API server in a WSGI host
such as mod_wsgi (see Installing the API behind mod_wsgi). Doing so will provide better
performance and more options for making adjustments specific to the
installation environment.
If you are using the cloudkitty-api command it can be started as:
$ cloudkitty-api -p 8889
 
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