aodh/doc/source/webapi/v2.rst

V2 Web API

Resources

ceilometer.api.controllers.v2:ResourcesController

ceilometer.api.controllers.v2.Resource

Meters

ceilometer.api.controllers.v2:MetersController

ceilometer.api.controllers.v2:MeterController

Samples and Statistics

ceilometer.api.controllers.v2.Meter

ceilometer.api.controllers.v2.Sample

ceilometer.api.controllers.v2.Statistics

Alarms

ceilometer.api.controllers.v2:AlarmsController

ceilometer.api.controllers.v2:AlarmController

ceilometer.api.controllers.v2.Alarm

ceilometer.api.controllers.v2.AlarmThresholdRule

ceilometer.api.controllers.v2.AlarmCombinationRule

Filtering Queries

Many of the endpoints above accept a query filter argument, which should be a list of Query data structures. Whatever the endpoint you want to apply a filter on, you always filter on the fields of the Sample type (for example, if you apply a filter on a query for statistics, you won't target duration_start field of Statistics, but timestamp field of Sample). You may also apply filters based on the values of one or more of the resource_metadata field, in which case you should target metadata.<field>. Notice, however, that given the free-form nature of resource_metadata field, there is no practical or consistent way to validate the query fields under metadata domain like it is done for all other fields. In other words, the API call will return HTTP 200 in both scenarios: when a query with metadata.<field> does not match its value, and when <field> itself does not exist in any of the records being queried.

ceilometer.api.controllers.v2.Query

Links

ceilometer.api.controllers.v2.Link

API and CLI query examples

CLI Queries

Ceilometer CLI Commands:

$ ceilometer --debug --os-username <username_here> --os-password <password_here> --os-auth-url http://localhost:5000/v2.0/ --os-tenant-name admin  meter-list

Note

The username, password, and tenant-name options are required to be present in these commands or specified via environment variables. Note that the in-line commands will override the environment variables.

API Queries

Ceilometer API calls:

Note

To successfully query the Ceilometer you must first get a project-specific token from the Keystone service and add it to any API calls that you execute against that project. See the Openstack credentials documentation for additional details.

A simple query to return a list of available meters:

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters"

A query to return the list of resources:

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/resources"

A query to return the list of samples, limited to a specific meter type:

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters/disk.root.size"

A query using filters (see: query filter section):

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters/instance?q.field=metadata.event_type&q.value=compute.instance.delete.start"

Additional examples:

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters/disk.root.size?q.field=resource_id&q.op=eq&q.value=<resource_id_here>"

or:

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters/instance?q.field=metadata.event_type&q.value=compute.instance.exists"

You can specify multiple filters by using an array of queries (order matters):

curl -H 'X-Auth-Token: <inserttokenhere>' \
  "http://localhost:8777/v2/meters/instance"\
  "?q.field=metadata.event_type&q.value=compute.instance.exists"\
  "&q.field=timestamp&q.op=gt&q.value=2013-07-03T13:34:17"

JSON based example:

curl -H 'X-Auth-Token: <inserttokenhere>' -H 'Content-Type: application/json' \
  -d '{"q":[{"field": "timestamp","op": "ge","value":"2013-04-01T13:34:17"}]}' \
  http://localhost:8777/v2/meters

JSON based example with multiple filters:

curl -H 'X-Auth-Token: <inserttokenhere>' -H 'Content-Type: application/json' \
  -d '{"q":[{"field": "timestamp","op": "ge","value":"2013-04-01T13:34:17"},'\
  "'{"field": "project_id","op": "eq","value":"8d6057bc-5b90-4296-afe0-84acaa2ef909"}]}' \
  http://localhost:8777/v2/meters/instance

Functional examples

The examples below are meant to help you understand how to query the Ceilometer API to build custom metrics report. The query parameters should be encoded using one of the above methods, e.g. as the URL parameters or as JSON encoded data passed to the GET request.

Get the list of samples about instances running for June 2013:

GET /v2/meters/instance
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
      "value": "2013-07-01T00:00:00"}]

Get the list of samples about instances running for June 2013 for a particular project:

GET /v2/meters/instance
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "project_id",
     "op": "eq",
     "value": "8d6057bc-5b90-4296-afe0-84acaa2ef909"}]

Get the list of samples about instances with m1.tiny flavor running for June 2013 for a particular project:

GET /v2/meters/instance:m1.tiny
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "project_id",
     "op": "eq",
     "value": "8d6057bc-5b90-4296-afe0-84acaa2ef909"}]

Now you may want to have statistics on the meters you are targeting. Consider the following example where you are getting the list of samples about CPU utilisation of a given instance (identified by its resource_id) running for June 2013:

GET /v2/meters/cpu_util
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "resource_id",
     "op": "eq",
     "value": "64da755c-9120-4236-bee1-54acafe24980"}]

You can have statistics on the list of samples requested (avg, sum, max, min, count) computed on the full duration:

GET /v2/meters/cpu_util/statistics
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "resource_id",
     "op": "eq",
     "value": "64da755c-9120-4236-bee1-54acafe24980"}]

You may want to aggregate samples over a given period (10 minutes for example) in order to get an array of the statistics computed on smaller durations:

GET /v2/meters/cpu_util/statistics
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "resource_id",
     "op": "eq",
     "value": "64da755c-9120-4236-bee1-54acafe24980"}]
period: 600

The period parameter aggregates by time range. You can also aggregate by field using the groupby parameter. Currently, the user_id, resource_id, project_id, and source fields are supported. Below is an example that uses a query filter and group by aggregation on project_id and resource_id:

GET /v2/meters/instance/statistics
q: [{"field": "user_id",
    "op": "eq",
    "value": "user-2"},
    {"field": "source",
     "op": "eq",
     "value": "source-1"}]
groupby: ["project_id", "resource_id"]

The statistics will be returned in a list, and each entry of the list will be labeled with the group name. For the previous example, the first entry might have project_id be "project-1" and resource_id be "resource-1", the second entry have project_id be "project-1" and resource_id be "resource-2", and so on.

You can request both period and group by aggregation in the same query:

GET /v2/meters/instance/statistics
q: [{"field": "source",
    "op": "eq",
    "value": "source-1"}]
groupby: ["project_id"]
period: 7200

Note that period aggregation is applied first, followed by group by aggregation. Order matters because the period aggregation determines the time ranges for the statistics.

Below is a real-life query:

GET /v2/meters/image/statistics
groupby: ["project_id", "resource_id"]

With the return values:

[{"count": 4, "duration_start": "2013-09-18T19:08:33", "min": 1.0,
  "max": 1.0, "duration_end": "2013-09-18T19:27:30", "period": 0,
  "sum": 4.0, "period_end": "2013-09-18T19:27:30", "duration": 1137.0,
  "period_start": "2013-09-18T19:08:33", "avg": 1.0,
  "groupby": {"project_id": "c2334f175d8b4cb8b1db49d83cecde78",
              "resource_id": "551f495f-7f49-4624-a34c-c422f2c5f90b"},
  "unit": "image"},
 {"count": 4, "duration_start": "2013-09-18T19:08:36", "min": 1.0,
  "max": 1.0, "duration_end": "2013-09-18T19:27:30", "period": 0,
  "sum": 4.0, "period_end": "2013-09-18T19:27:30", "duration": 1134.0,
  "period_start": "2013-09-18T19:08:36", "avg": 1.0,
  "groupby": {"project_id": "c2334f175d8b4cb8b1db49d83cecde78",
              "resource_id": "7c1157ed-cf30-48af-a868-6c7c3ad7b531"},
  "unit": "image"},
 {"count": 4, "duration_start": "2013-09-18T19:08:34", "min": 1.0,
  "max": 1.0, "duration_end": "2013-09-18T19:27:30", "period": 0,
  "sum": 4.0, "period_end": "2013-09-18T19:27:30", "duration": 1136.0,
  "period_start": "2013-09-18T19:08:34", "avg": 1.0,
  "groupby": {"project_id": "c2334f175d8b4cb8b1db49d83cecde78",
              "resource_id": "eaed9cf4-fc99-4115-93ae-4a5c37a1a7d7"},
  "unit": "image"}]

If you want to retrieve all the instances (not the list of samples, but the resource itself) that have been run during this month for a given project, you should ask the resource endpoint for the list of resources (all types: including storage, images, networking, ...):

GET /v2/resources
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "project_id",
     "op": "eq",
     "value": "8d6057bc-5b90-4296-afe0-84acaa2ef909"}]

Then look for resources that have an instance meter linked to them. That will indicate resources that have been measured as being instance. You can then request their samples to have more detailed information, like their state or their flavor:

GET /v2/meter/instance
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "resource_id",
     "op": "eq",
     "value": "64da755c-9120-4236-bee1-54acafe24980"},
    {"field": "project_id",
     "op": "eq",
     "value": "8d6057bc-5b90-4296-afe0-84acaa2ef909"}]

This will return a list of samples that have been recorded on this particular resource. You can inspect them to retrieve information, such as the instance state (check the metadata.vm_state field) or the instance flavor (check the metadata.flavor field). You can request nested metadata fields by using a dot to delimit the fields (e.g. metadata.weighted_host.host for instance.scheduled meter)

To retrieve only the 3 last samples of a meters, you can pass the limit parameter to the query:

GET /v2/meter/instance
q: [{"field": "timestamp",
     "op": "ge",
     "value": "2013-06-01T00:00:00"},
    {"field": "timestamp",
     "op": "lt",
     "value": "2013-07-01T00:00:00"},
    {"field": "resource_id",
     "op": "eq",
     "value": "64da755c-9120-4236-bee1-54acafe24980"},
    {"field": "project_id",
     "op": "eq",
     "value": "8d6057bc-5b90-4296-afe0-84acaa2ef909"}]
limit: 3

This query would only return the last 3 samples.

User-defined data

It is possible to add your own samples (created from data retrieved in any way like monitoring agents on your instances) in Ceilometer to store them and query on them. You can even get Statistics on your own inserted data. By adding a Sample to a Resource, you create automatically the corresponding Meter if it does not exist already. To achieve this, you have to POST a list of one to many samples in JSON format:

curl -X POST -H 'X-Auth-Token: <inserttokenhere>' -H 'Content-Type: application/json' \
  -d '<insertyoursampleslisthere>' \
  http://localhost:8777/v2/meters/<insertyourmeternamehere>

Fields source, timestamp, project_id and user_id are automatically added if not present in the samples. Field message_id is not taken into account if present and an internal value will be set.

Here is an example showing how to add a sample for a ram_util meter (already existing or not):

POST /v2/meters/ram_util
body: [
        {
          "counter_name": "ram_util",
          "user_id": "4790fbafad2e44dab37b1d7bfc36299b",
          "resource_id": "87acaca4-ae45-43ae-ac91-846d8d96a89b",
          "resource_metadata": {
            "display_name": "my_instance",
            "my_custom_metadata_1": "value1",
            "my_custom_metadata_2": "value2"
           },
          "counter_unit": "%",
          "counter_volume": 8.57762938230384,
          "project_id": "97f9a6aaa9d842fcab73797d3abb2f53",
          "counter_type": "gauge"
        }
      ]

You get back the same list containing your example completed with the missing fields : source and timestamp in this case.