kinesis

Amazon Kinesis Output for Telegraf

This is an experimental plugin that is still in the early stages of development. It will batch up all of the Points in one Put request to Kinesis. This should save the number of API requests by a considerable level.

About Kinesis

This is not the place to document all of the various Kinesis terms however it maybe useful for users to review Amazons official documentation which is available here.

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.

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 attribute is specified (source credentials are evaluated from subsequent rules)
3. Explicit credentials from access_key, secret_key, and token attributes
4. Shared profile from profile attribute
5. Environment Variables
6. Shared Credentials
7. 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.

Config

For this output plugin to function correctly the following variables must be configured.

• region
• streamname

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.

partitionkey [DEPRECATED]

This is used to group data within a stream. Currently this plugin only supports a single partitionkey. Manually configuring different hosts, or groups of hosts with manually selected partitionkeys might be a workable solution to scale out.

use_random_partitionkey [DEPRECATED]

When true a random UUID will be generated and used as the partitionkey when sending data to Kinesis. This allows data to evenly spread across multiple shards in the stream. Due to using a random partitionKey there can be no guarantee of ordering when consuming the data off the shards. If true then the partitionkey option will be ignored.

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.

format

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.