Prometheus - Monitoring System & Time Series Database¶
Overview¶
Kolla can deploy a full working Prometheus setup in either a all-in-one or multinode setup.
Preparation and deployment¶
To enable Prometheus, modify the configuration file /etc/kolla/globals.yml
and change the following:
enable_prometheus: "yes"
Note: This will deploy Prometheus version 2.x. Any potentially existing
Prometheus 1.x instances deployed by previous Kolla Ansible releases will
conflict with current version and should be manually stopped and/or removed.
If you would like to stay with version 1.x, set the enable_prometheus
variable to no
.
In order to remove leftover volume containing Prometheus 1.x data, execute:
docker volume rm prometheus
on all hosts wherever Prometheus was previously deployed.
Basic Auth¶
Prometheus is protected with basic HTTP authentication. Kolla-ansible will
create the following users: admin
and grafana
(if grafana is
enabled). The grafana username can be overidden using the variable
prometheus_grafana_user
. The passwords are defined by the
prometheus_password
and prometheus_grafana_password
variables in
passwords.yml
. The list of basic auth users can be extended using the
prometheus_basic_auth_users_extra
variable:
prometheus_basic_auth_users_extra:
- username: user
password: hello
enabled: true
or completely overriden with the prometheus_basic_auth_users
variable.
Extending the default command line options¶
It is possible to extend the default command line options for Prometheus by using a custom variable. As an example, to set query timeout to 1 minute and data retention size to 30 gigabytes:
prometheus_cmdline_extras: "--query.timeout=1m --storage.tsdb.retention.size=30GB"
Configuration options¶
Option |
Default |
Description |
---|---|---|
prometheus_scrape_interval |
60s |
Default scrape interval for all jobs |
Extending prometheus.cfg¶
If you want to add extra targets to scrape, you can extend the default
prometheus.yml
config file by placing additional configs in
{{ node_custom_config }}/prometheus/prometheus.yml.d
. These should have the
same format as prometheus.yml
. These additional configs are merged so
that any list items are extended. For example, if using the default value for
node_custom_config
, you could add additional targets to scrape by defining
/etc/kolla/config/prometheus/prometheus.yml.d/10-custom.yml
containing the
following:
scrape_configs:
- job_name: custom
static_configs:
- targets:
- '10.0.0.111:1234'
- job_name: custom-template
static_configs:
- targets:
{% for host in groups['prometheus'] %}
- '{{ hostvars[host][('ansible_' + hostvars[host]['api_interface'] | replace('-','_'))]['ipv4']['address'] }}:{{ 3456 }}'
{% endfor %}
The jobs, custom
, and custom_template
would be appended to the default
list of scrape_configs
in the final prometheus.yml
. To customize on a per
host basis, files can also be placed in
{{ node_custom_config }}/prometheus/<inventory_hostname>/prometheus.yml.d
where, inventory_hostname
is one of the hosts in your inventory. These
will be merged with any files in {{ node_custom_config }}/prometheus/prometheus.yml.d
,
so in order to override a list value instead of extending it, you will need to make
sure that no files in {{ node_custom_config }}/prometheus/prometheus.yml.d
set a key with an equivalent hierarchical path.
Extra files¶
Sometimes it is necessary to reference additional files from within
prometheus.yml
, for example, when defining file service discovery
configuration. To enable you to do this, kolla-ansible will resursively
discover any files in {{ node_custom_config }}/prometheus/extras
and
template them. The templated output is then copied to
/etc/prometheus/extras
within the container on startup. For example to
configure ipmi_exporter, using
the default value for node_custom_config
, you could create the following
files:
/etc/kolla/config/prometheus/prometheus.yml.d/ipmi-exporter.yml
:--- scrape_configs: - job_name: ipmi params: module: ["default"] scrape_interval: 1m scrape_timeout: 30s metrics_path: /ipmi scheme: http file_sd_configs: - files: - /etc/prometheus/extras/file_sd/ipmi-exporter-targets.yml refresh_interval: 5m relabel_configs: - source_labels: [__address__] separator: ; regex: (.*) target_label: __param_target replacement: ${1} action: replace - source_labels: [__param_target] separator: ; regex: (.*) target_label: instance replacement: ${1} action: replace - separator: ; regex: .* target_label: __address__ replacement: "{{ ipmi_exporter_listen_address }}:9290" action: replace
where
ipmi_exporter_listen_address
is a variable containing the IP address of the node where the exporter is running./etc/kolla/config/prometheus/extras/file_sd/ipmi-exporter-targets.yml
:--- - targets: - 192.168.1.1 labels: job: ipmi_exporter
Metric Instance labels¶
Previously, Prometheus metrics used to label instances based on their IP addresses. This behaviour can now be changed such that instances can be labelled based on their inventory hostname instead. The IP address remains as the target address, therefore, even if the hostname is unresolvable, it doesn’t pose an issue.
The default behavior still labels instances with their IP addresses. However,
this can be adjusted by changing the prometheus_instance_label
variable.
This variable accepts the following values:
None
: Instance labels will be IP addresses (default){{ ansible_facts.hostname }}
: Instance labels will be hostnames{{ ansible_facts.nodename }}
: Instance labels will FQDNs
To implement this feature, modify the configuration file
/etc/kolla/globals.yml
and update the prometheus_instance_label
variable accordingly. Remember, changing this variable will cause Prometheus to
scrape metrics with new names for a short period. This will result in duplicate
metrics until all metrics are replaced with their new labels.
prometheus_instance_label: "{{ ansible_facts.hostname }}"
This metric labeling feature may become the default setting in future releases.
Therefore, if you wish to retain the current default (IP address labels), make
sure to set the prometheus_instance_label
variable to None
.
Note
This feature may generate duplicate metrics temporarily while Prometheus updates the metric labels. Please be aware of this while analyzing metrics during the transition period.