Name	Name	Last commit message	Last commit date
parent directory ..
README.md	README.md
aws_cloudwatch_logs.md	aws_cloudwatch_logs.md
aws_cloudwatch_metrics.md	aws_cloudwatch_metrics.md
aws_kinesis_streams.md	aws_kinesis_streams.md
aws_s3.md	aws_s3.md
blackhole.md	blackhole.md
clickhouse.md	clickhouse.md
console.md	console.md
datadog_metrics.md	datadog_metrics.md
elasticsearch.md	elasticsearch.md
file.md	file.md
http.md	http.md
kafka.md	kafka.md
prometheus.md	prometheus.md
splunk_hec.md	splunk_hec.md
statsd.md	statsd.md
tcp.md	tcp.md
vector.md	vector.md

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description	Push or expose events in Vector to external systems

Sinks

Sinks are last in the pipeline, responsible for sending events downstream. These can be service specific sinks, such as vector, elasticsearch, and s3, or generic protocol sinks like http or tcp.

Name	Description
`aws_cloudwatch_logs`	Batches `log` events to AWS CloudWatch Logs via the `PutLogEvents` API endpoint.
`aws_cloudwatch_metrics`	Streams `metric` events to AWS CloudWatch Metrics via the `PutMetricData` API endpoint.
`aws_kinesis_streams`	Batches `log` events to AWS Kinesis Data Stream via the `PutRecords` API endpoint.
`aws_s3`	Batches `log` events to AWS S3 via the `PutObject` API endpoint.
`blackhole`	Streams `log` and `metric` events to a blackhole that simply discards data, designed for testing and benchmarking purposes.
`clickhouse`	Batches `log` events to Clickhouse via the `HTTP` Interface.
`console`	Streams `log` and `metric` events to standard output streams, such as `STDOUT` and `STDERR`.
`datadog_metrics`	Batches `metric` events to Datadog metrics service using HTTP API.
`elasticsearch`	Batches `log` events to Elasticsearch via the `_bulk` API endpoint.
`file`	Streams `log` events to a file.
`http`	Batches `log` events to a generic HTTP endpoint.
`kafka`	Streams `log` events to Apache Kafka via the Kafka protocol.
`prometheus`	Exposes `metric` events to Prometheus metrics service.
`splunk_hec`	Batches `log` events to a Splunk HTTP Event Collector.
`statsd`	Streams `metric` events to StatsD metrics service.
`tcp`	Streams `log` events to a TCP connection.
`vector`	Streams `log` events to another downstream Vector instance.

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