This is a AWS Kinesis input plugin for Logstash. Under the hood uses the Kinesis Client Library.
This plugin requires Logstash >= 1.5, and can be installed by Logstash itself.
$(LOGSTASH_DIR)/bin/plugin install logstash-input-kinesis
input {
kinesis {
kinesis_stream_name => "my-logging-stream"
codec => json { }
}
}
This are the properties you can configure and what are the default values:
application_name
: The name of the application used in DynamoDB for coordination. Only one worker per unique stream partition and application will be actively consuming messages.- required: false
- default value:
logstash
kinesis_stream_name
: The Kinesis stream name.- required: true
region
: The AWS region name for Kinesis, DynamoDB and Cloudwatch (if enabled)- required: false
- default value:
us-east-1
checkpoint_interval_seconds
: How many seconds between worker checkpoints to DynamoDB. A low value ussually means lower message replay in case of node failure/restart but it increases CPU+network ussage (which increases the AWS costs).- required: false
- default value:
60
metrics
: Worker metric tracking. By default this is disabled, set it to "cloudwatch" to enable the cloudwatch integration in the Kinesis Client Library.- required: false
- default value:
nil
This plugin uses the default AWS SDK auth chain, DefaultAWSCredentialsProviderChain, to determine which credentials the client will use.
The default chain follows this order trying to read the credentials:
AWS_ACCESS_KEY_ID
/AWS_SECRET_KEY
environment variables~/.aws/credentials
credentials file- EC2 instance profile
The credentials will need access to the following services:
- AWS Kinesis
- AWS DynamoDB: the client library stores information for worker coordination in DynamoDB (offsets and active worker per partition)
- AWS CloudWatch: if the metrics are enabled the credentials need CloudWatch update permisions granted.
Look at the documentation for deeper information.
- Fork it ( https://github.com/codekitchen/logstash-input-kinesis/fork )
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request