Query data from Google Cloud Monitoring (formerly Stackdriver) using the
Cloud Monitoring API v3.
This plugin accesses APIs which are chargeable; you might incur
costs.
Configuration
[[inputs.stackdriver]]
## GCP Project
project = "erudite-bloom-151019"
## Include timeseries that start with the given metric type.
metric_type_prefix_include = [
"compute.googleapis.com/",
]
## Exclude timeseries that start with the given metric type.
# metric_type_prefix_exclude = []
## Most metrics are updated no more than once per minute; it is recommended
## to override the agent level interval with a value of 1m or greater.
interval = "1m"
## Maximum number of API calls to make per second. The quota for accounts
## varies, it can be viewed on the API dashboard:
## https://cloud.google.com/monitoring/quotas#quotas_and_limits
# rate_limit = 14
## The delay and window options control the number of points selected on
## each gather. When set, metrics are gathered between:
## start: now() - delay - window
## end: now() - delay
#
## Collection delay; if set too low metrics may not yet be available.
# delay = "5m"
#
## If unset, the window will start at 1m and be updated dynamically to span
## the time between calls (approximately the length of the plugin interval).
# window = "1m"
## TTL for cached list of metric types. This is the maximum amount of time
## it may take to discover new metrics.
# cache_ttl = "1h"
## If true, raw bucket counts are collected for distribution value types.
## For a more lightweight collection, you may wish to disable and use
## distribution_aggregation_aligners instead.
# gather_raw_distribution_buckets = true
## Aggregate functions to be used for metrics whose value type is
## distribution. These aggregate values are recorded in in addition to raw
## bucket counts; if they are enabled.
##
## For a list of aligner strings see:
## https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner
# distribution_aggregation_aligners = [
# "ALIGN_PERCENTILE_99",
# "ALIGN_PERCENTILE_95",
# "ALIGN_PERCENTILE_50",
# ]
## Filters can be added to reduce the number of time series matched. All
## functions are supported: starts_with, ends_with, has_substring, and
## one_of. Only the '=' operator is supported.
##
## The logical operators when combining filters are defined statically using
## the following values:
## filter ::= <resource_labels> {AND <metric_labels>}
## resource_labels ::= <resource_labels> {OR <resource_label>}
## metric_labels ::= <metric_labels> {OR <metric_label>}
##
## For more details, see https://cloud.google.com/monitoring/api/v3/filters
#
## Resource labels refine the time series selection with the following expression:
## resource.labels.<key> = <value>
# [[inputs.stackdriver.filter.resource_labels]]
# key = "instance_name"
# value = 'starts_with("localhost")'
#
## Metric labels refine the time series selection with the following expression:
## metric.labels.<key> = <value>
# [[inputs.stackdriver.filter.metric_labels]]
# key = "device_name"
# value = 'one_of("sda", "sdb")'
Authentication
It is recommended to use a service account to authenticate with the
Stackdriver Monitoring API. Getting Started with Authentication.
Metrics
Metrics are created using one of there patterns depending on if the value type
is a scalar value, raw distribution buckets, or aligned bucket values.
In all cases, the Stackdriver metric type is split on the last component into
the measurement and field:
compute.googleapis.com/instance/disk/read_bytes_count
└────────── measurement ─────────┘ └── field ───┘
Scalar Values:
- measurement
- tags:
- resource_labels
- metric_labels
- fields:
Distributions:
Distributions are represented by a set of fields along with the bucket values
tagged with the bucket boundary. Buckets are cumulative: each bucket
represents the total number of items less than the lt
tag.
-
measurement
- tags:
- resource_labels
- metric_labels
- fields:
- field_count
- field_mean
- field_sum_of_squared_deviation
- field_range_min
- field_range_max
-
measurement
- tags:
- resource_labels
- metric_labels
- lt (less than)
- fields:
Aligned Aggregations:
- measurement
- tags:
- resource_labels
- metric_labels
- fields:
Troubleshooting
When Telegraf is ran with --debug
, detailed information about the performed
queries will be logged.
Example Output