Amazon Kinesis Output Plugin
This plugin writes metrics to a Amazon Kinesis endpoint. It will
batch all Points in one request to reduce the number of API requests.
Please consult Amazon's official documentation for more details on the
Kinesis architecture and concepts.
⭐ Telegraf v0.2.5
🏷️ cloud, messaging
💻 all
Amazon Authentication
This plugin uses a credential chain for Authentication with the Kinesis API
endpoint. In the following order the plugin will attempt to authenticate.
- Web identity provider credentials via STS if
role_arn and
web_identity_token_file are specified
- Assumed credentials via STS if
role_arn attribute is specified (source
credentials are evaluated from subsequent rules)
- Explicit credentials from
access_key, secret_key, and token attributes
- Shared profile from
profile attribute
- Environment Variables
- Shared Credentials
- EC2 Instance Profile
If you are using credentials from a web identity provider, you can specify the
session name using role_session_name. If left empty, the current timestamp
will be used.
Global configuration options
Plugins support additional global and plugin configuration settings for tasks
such as modifying metrics, tags, and fields, creating aliases, and configuring
plugin ordering. See CONFIGURATION.md for more details.
Configuration
# Configuration for the AWS Kinesis output.
[[outputs.kinesis]]
## Amazon REGION of kinesis endpoint.
region = "ap-southeast-2"
## Amazon Credentials
## Credentials are loaded in the following order
## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
## 2) Assumed credentials via STS if role_arn is specified
## 3) explicit credentials from 'access_key' and 'secret_key'
## 4) shared profile from 'profile'
## 5) environment variables
## 6) shared credentials file
## 7) EC2 Instance Profile
#access_key = ""
#secret_key = ""
#token = ""
#role_arn = ""
#web_identity_token_file = ""
#role_session_name = ""
#profile = ""
#shared_credential_file = ""
## Endpoint to make request against, the correct endpoint is automatically
## determined and this option should only be set if you wish to override the
## default.
## ex: endpoint_url = "http://localhost:8000"
# endpoint_url = ""
## Kinesis StreamName must exist prior to starting telegraf.
streamname = "StreamName"
## Data format to output.
## Each data format has its own unique set of configuration options, read
## more about them here:
## https://github.com/netxops/unicontroller/blob/master/docs/DATA_FORMATS_OUTPUT.md
data_format = "influx"
## debug will show upstream aws messages.
debug = false
## NOTE: Due to the way TOML is parsed, tables must be at the END of the
## plugin definition, otherwise additional config options are read as part of
## the table
## The partition key can be calculated using one of several methods:
##
## Use a static value for all writes:
# [outputs.kinesis.partition]
# method = "static"
# key = "howdy"
#
## Use a random partition key on each write:
# [outputs.kinesis.partition]
# method = "random"
#
## Use the measurement name as the partition key:
# [outputs.kinesis.partition]
# method = "measurement"
#
## Use the value of a tag for all writes, if the tag is not set the empty
## default option will be used. When no default, defaults to "telegraf"
# [outputs.kinesis.partition]
# method = "tag"
# key = "host"
# default = "mykey"
For this output plugin to function correctly the following variables must be
configured.
region
The region is the Amazon region that you wish to connect to. Examples include
but are not limited to
- us-west-1
- us-west-2
- us-east-1
- ap-southeast-1
- ap-southeast-2
streamname
The streamname is used by the plugin to ensure that data is sent to the correct
Kinesis stream. It is important to note that the stream MUST be pre-configured
for this plugin to function correctly. If the stream does not exist the plugin
will result in telegraf exiting with an exit code of 1.
partition
This is used to group data within a stream. Currently four methods are
supported: random, static, tag or measurement
random
This will generate a UUIDv4 for each metric to spread them across shards. Any
guarantee of ordering is lost with this method
static
This uses a static string as a partitionkey. All metrics will be mapped to the
same shard which may limit throughput.
tag
This will take the value of the specified tag from each metric as the
partitionKey. If the tag is not found the default value will be used or
telegraf if unspecified
measurement
This will use the measurement's name as the partitionKey.
The format configuration value has been designated to allow people to change the
format of the Point as written to Kinesis. Right now there are two supported
formats string and custom.
string
String is defined using the default Point.String() value and translated to
[]byte for the Kinesis stream.
custom
Custom is a string defined by a number of values in the FormatMetric() function.