This is documentation for the next version of Grafana Alloy Documentation. For the latest stable release, go to the latest version.
otelcol.exporter.kafka
otelcol.exporter.kafka accepts logs, metrics, and traces telemetry data from other otelcol components and sends it to Kafka.
It’s important to use otelcol.exporter.kafka together with otelcol.processor.batch to make sure otelcol.exporter.kafka doesn’t slow down due to sending Kafka a huge number of small payloads.
Note
otelcol.exporter.kafkais a wrapper over the upstream OpenTelemetry Collectorkafkaexporter. Bug reports or feature requests will be redirected to the upstream repository, if necessary.
Multiple otelcol.exporter.kafka components can be specified by giving them
different labels.
Usage
otelcol.exporter.kafka "LABEL" {
protocol_version = "PROTOCOL_VERSION"
}Arguments
You can use the following arguments with otelcol.exporter.kafka:
Warning
The
topicandencodingarguments are deprecated in favor of the [logs][logs], [metrics][metrics], and [traces][traces] blocks.
When topic_from_attribute is set, it will take precedence over the topic arguments in logs, metrics, and traces blocks.
partition_traces_by_id doesn’t have any effect on Jaeger encoding exporters since Jaeger exporters include trace ID as the message key by default.
Blocks
You can use the following blocks with otelcol.exporter.kafka:
The > symbol indicates deeper levels of nesting.
For example, authentication > tls refers to a tls block defined inside an authentication block.
logs
The logs block configures how to send logs to Kafka brokers.
metrics
The metrics block configures how to send metrics to Kafka brokers.
traces
The traces block configures how to send traces to Kafka brokers.
authentication
The authentication block holds the definition of different authentication mechanisms to use when connecting to Kafka brokers.
It doesn’t support any arguments and is configured fully through inner blocks.
kerberos
The kerberos block configures Kerberos authentication against the Kafka broker.
The following arguments are supported:
When use_keytab is false, the password argument is required.
When use_keytab is true, the file pointed to by the keytab_file argument is used for authentication instead.
At most one of password or keytab_file must be provided.
disable_fast_negotiation is useful for Kerberos implementations which don’t support PA-FX-FAST (Pre-Authentication Framework - Fast) negotiation.
plaintext
Caution
The
plaintextblock has been deprecated. Usesaslwithmechanismset toPLAINinstead.
The plaintext block configures plain text authentication against Kafka brokers.
The following arguments are supported:
sasl
The sasl block configures SASL authentication against Kafka brokers.
The following arguments are supported:
You can set the mechanism argument to one of the following strings:
"PLAIN""SCRAM-SHA-256""SCRAM-SHA-512""AWS_MSK_IAM_OAUTHBEARER"
When mechanism is set to "AWS_MSK_IAM_OAUTHBEARER", the aws_msk child block must also be provided.
You can set the version argument to either 0 or 1.
aws_msk
The aws_msk block configures extra parameters for SASL authentication when using the AWS_MSK_IAM_OAUTHBEARER mechanisms.
The following arguments are supported:
tls
The tls block configures TLS settings used for connecting to the Kafka brokers.
If the tls block isn’t provided, TLS won’t be used for communication.
The following arguments are supported:
If the server doesn’t support TLS, you must set the insecure argument to true.
To disable tls for connections to the server, set the insecure argument to true.
If you set reload_interval to "0s", the certificate never reloaded.
The following pairs of arguments are mutually exclusive and can’t both be set simultaneously:
ca_pemandca_filecert_pemandcert_filekey_pemandkey_file
If cipher_suites is left blank, a safe default list is used.
Refer to the Go TLS documentation for a list of supported cipher suites.
The curve_preferences argument determines the set of elliptic curves to prefer during a handshake in preference order.
If not provided, a default list is used.
The set of elliptic curves available are X25519, P521, P256, and P384.
tpm
The tpm block configures retrieving the TLS key_file from a trusted device.
The following arguments are supported:
The trusted platform module (TPM) configuration can be used for loading TLS key from TPM. Currently only TSS2 format is supported.
The path attribute is not supported on Windows.
Example
otelcol.example.component "<LABEL>" {
...
tls {
...
key_file = "my-tss2-key.key"
tpm {
enabled = true
path = "/dev/tpmrm0"
}
}
}In the above example, the private key my-tss2-key.key in TSS2 format will be loaded from the TPM device /dev/tmprm0.
debug_metrics
The debug_metrics block configures the metrics that this component generates to monitor its state.
The following arguments are supported:
disable_high_cardinality_metrics is the Alloy equivalent to the telemetry.disableHighCardinalityMetrics feature gate in the OpenTelemetry Collector.
It removes attributes that could cause high cardinality metrics.
For example, attributes with IP addresses and port numbers in metrics about HTTP and gRPC connections are removed.
Note
If configured,
disable_high_cardinality_metricsonly applies tootelcol.exporter.*andotelcol.receiver.*components.
metadata
The metadata block configures how to retrieve and store metadata from the Kafka broker.
The following arguments are supported:
When full is set to false, the client does not make the initial request to broker at the startup.
Retrieving metadata may fail if the Kafka broker is starting up at the same time as the Alloy component.
The retry child block can be provided to customize retry behavior.
retry
The retry block configures how to retry retrieving metadata when retrieval fails.
The following arguments are supported:
producer
The producer block configures how to retry retrieving metadata when retrieval fails.
The following arguments are supported:
Refer to the Go sarama documentation for more information on required_acks.
compression could be set to either none, gzip, snappy, lz4, or zstd.
Refer to the Go sarama documentation for more information.
compression_params
The compression_params block configures the producer compression parameters.
The following argument is supported:
The following levels are valid combinations of compression and level:
lz4 and snappy do not currently support compression levels in this component.
retry_on_failure
The retry_on_failure block configures how failed requests to Kafka are retried.
The following arguments are supported:
When enabled is true, failed batches are retried after a given interval.
The initial_interval argument specifies how long to wait before the first retry attempt.
If requests continue to fail, the time to wait before retrying increases by the factor specified by the multiplier argument, which must be greater than 1.0.
The max_interval argument specifies the upper bound of how long to wait between retries.
The randomization_factor argument is useful for adding jitter between retrying Alloy instances.
If randomization_factor is greater than 0, the wait time before retries is multiplied by a random factor in the range [ I - randomization_factor * I, I + randomization_factor * I], where I is the current interval.
If a batch hasn’t been sent successfully, it’s discarded after the time specified by max_elapsed_time elapses.
If max_elapsed_time is set to "0s", failed requests are retried forever until they succeed.
sending_queue
The sending_queue block configures queueing and batching for the exporter.
The following arguments are supported:
The blocking argument is deprecated in favor of the block_on_overflow argument.
When block_on_overflow is true, the component will wait for space. Otherwise, operations will immediately return a retryable error.
When enabled is true, data is first written to an in-memory buffer before sending it to the configured server.
Batches sent to the component’s input exported field are added to the buffer as long as the number of unsent batches doesn’t exceed the configured queue_size.
queue_size determines how long an endpoint outage is tolerated.
Assuming 100 requests/second, the default queue size 1000 provides about 10 seconds of outage tolerance.
To calculate the correct value for queue_size, multiply the average number of outgoing requests per second by the time in seconds that outages are tolerated. A very high value can cause Out Of Memory (OOM) kills.
The sizer argument could be set to:
requests: number of incoming batches of metrics, logs, traces (the most performant option).items: number of the smallest parts of each signal (spans, metric data points, log records).bytes: the size of serialized data in bytes (the least performant option).
The num_consumers argument controls how many readers read from the buffer and send data in parallel.
Larger values of num_consumers allow data to be sent more quickly at the expense of increased network traffic.
If an otelcol.storage.* component is configured and provided in the queue’s storage argument, the queue uses the
provided storage extension to provide a persistent queue and the queue is no longer stored in memory.
Any data persisted will be processed on startup if Alloy is killed or restarted.
Refer to the
exporterhelper documentation in the OpenTelemetry Collector repository for more details.
batch
The batch block configures batching requests based on a timeout and a minimum number of items.
By default, the batch block is not used.
The following arguments are supported:
max_size must be greater than or equal to min_size.
The sizer argument can be set to:
items: The number of the smallest parts of each span, metric data point, or log record.bytes: the size of serialized data in bytes (the least performant option).
Exported fields
The following fields are exported and can be referenced by other components:
input accepts otelcol.Consumer data for any telemetry signal (metrics, logs, or traces).
Supported encodings
otelcol.exporter.kafka supports encoding extensions, as well as the following built-in encodings.
Available for all signals:
otlp_proto: Data is encoded as OTLP Protobuf.otlp_json: Data is encoded as OTLP JSON.
Available only for traces:
jaeger_proto: The payload is serialized to a single Jaeger protoSpan, and keyed by TraceID.jaeger_json: The payload is serialized to a single Jaeger JSON Span usingjsonpb, and keyed by TraceID.zipkin_proto: The payload is serialized to Zipkin v2 proto Span.zipkin_json: The payload is serialized to Zipkin v2 JSON Span.
Available only for logs:
raw: If the log record body is a byte array, it is sent as is. Otherwise, it is serialized to JSON. Resource and record attributes are discarded.
Component health
otelcol.exporter.kafka is only reported as unhealthy if given an invalid configuration.
Debug information
otelcol.exporter.kafka doesn’t expose any component-specific debug information.
Example
This example forwards telemetry data through a batch processor before finally sending it to Kafka:
otelcol.receiver.otlp "default" {
http {}
grpc {}
output {
metrics = [otelcol.processor.batch.default.input]
logs = [otelcol.processor.batch.default.input]
traces = [otelcol.processor.batch.default.input]
}
}
otelcol.processor.batch "default" {
output {
metrics = [otelcol.exporter.kafka.default.input]
logs = [otelcol.exporter.kafka.default.input]
traces = [otelcol.exporter.kafka.default.input]
}
}
otelcol.exporter.kafka "default" {
brokers = ["localhost:9092"]
protocol_version = "2.0.0"
}Compatible components
otelcol.exporter.kafka has exports that can be consumed by the following components:
- Components that consume OpenTelemetry
otelcol.Consumer
Note
Connecting some components may not be sensible or components may require further configuration to make the connection work correctly. Refer to the linked documentation for more details.



