telegraf/plugins/outputs/kinesis
Nevins 0514b3cfa7 add option to randomize Kinesis partition key (#2705) 2017-04-26 10:54:24 -07:00
..
README.md add option to randomize Kinesis partition key (#2705) 2017-04-26 10:54:24 -07:00
kinesis.go add option to randomize Kinesis partition key (#2705) 2017-04-26 10:54:24 -07:00

README.md

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. Assumed credentials via STS if role_arn attribute is specified (source credentials are evaluated from subsequent rules)
  2. Explicit credentials from access_key, secret_key, and token attributes
  3. Shared profile from profile attribute
  4. Environment Variables
  5. Shared Credentials
  6. EC2 Instance Profile

Config

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

  • region
  • streamname
  • partitionkey

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

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

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 paritionKey there can be no guarantee of ordering when consuming the data off the shards. If true then the partitionkey option will be ignored.

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.