AWS Kinesis Firehose source

Requirements

AWS Kinesis Firehose can only deliver data over HTTP. You will need to solve TLS termination by fronting Vector with a load balancer or configuring the tls.* options.

Configuration

Example configurations

{
  "sources": {
    "my_source_id": {
      "type": "aws_kinesis_firehose",
      "address": "0.0.0.0:443"
    }
  }
}

[sources.my_source_id]
type = "aws_kinesis_firehose"
address = "0.0.0.0:443"

sources:
  my_source_id:
    type: aws_kinesis_firehose
    address: 0.0.0.0:443

{
  "sources": {
    "my_source_id": {
      "type": "aws_kinesis_firehose",
      "access_key": "A94A8FE5CCB19BA61C4C08",
      "access_keys": [
        "A94A8FE5CCB19BA61C4C08"
      ],
      "address": "0.0.0.0:443",
      "record_compression": "auto"
    }
  }
}

[sources.my_source_id]
type = "aws_kinesis_firehose"
access_key = "A94A8FE5CCB19BA61C4C08"
access_keys = [ "A94A8FE5CCB19BA61C4C08" ]
address = "0.0.0.0:443"
record_compression = "auto"

sources:
  my_source_id:
    type: aws_kinesis_firehose
    access_key: A94A8FE5CCB19BA61C4C08
    access_keys:
      - A94A8FE5CCB19BA61C4C08
    address: 0.0.0.0:443
    record_compression: auto

access_key

optional string literal

Deprecated

This option has been deprecated, use access_keys instead.

An access key to authenticate requests against.

AWS Kinesis Firehose can be configured to pass along a user-configurable access key with each request. If configured, access_key should be set to the same value. Otherwise, all requests are allowed.

Examples

"A94A8FE5CCB19BA61C4C08"

access_keys

optional [string]

A list of access keys to authenticate requests against.

AWS Kinesis Firehose can be configured to pass along a user-configurable access key with each request. If configured, access_keys should be set to the same value. Otherwise, all requests are allowed.

Array string literal

Examples

[
  "A94A8FE5CCB19BA61C4C08",
  "B94B8FE5CCB19BA61C4C12"
]

acknowledgements

optional object

Deprecated

This field is deprecated.

Controls how acknowledgements are handled by this source.

This setting is deprecated in favor of enabling acknowledgements at the global or sink level.

Enabling or disabling acknowledgements at the source level has no effect on acknowledgement behavior.

See End-to-end Acknowledgements for more information on how event acknowledgement is handled.

acknowledgements.enabled

optional bool

Whether or not end-to-end acknowledgements are enabled for this source.

address

required string literal

The socket address to listen for connections on.

Examples

"0.0.0.0:443"

"localhost:443"

decoding

optional object

Configures how events are decoded from raw bytes.

decoding.avro

required object

Apache Avro-specific encoder options.

Relevant when: codec = "avro"

decoding.avro.schema

required string literal

The Avro schema definition. Please note that the following [apache_avro::types::Value] variants are currently not supported:

Date
Decimal
Duration
Fixed
TimeMillis

Examples

"{ \"type\": \"record\", \"name\": \"log\", \"fields\": [{ \"name\": \"message\", \"type\": \"string\" }] }"

decoding.avro.strip_schema_id_prefix

required bool

For Avro datum encoded in Kafka messages, the bytes are prefixed with the schema ID. Set this to true to strip the schema ID prefix. According to Confluent Kafka’s document.

decoding.codec

optional string literal enum

The codec to use for decoding events.

Enum options

Option	Description
`avro`	Decodes the raw bytes as as an Apache Avro message.
`bytes`	Uses the raw bytes as-is.
`gelf`	Decodes the raw bytes as a GELF message. This codec is experimental for the following reason: The GELF specification is more strict than the actual Graylog receiver. Vector’s decoder currently adheres more strictly to the GELF spec, with the exception that some characters such as `@` are allowed in field names. Other GELF codecs such as Loki’s, use a Go SDK that is maintained by Graylog, and is much more relaxed than the GELF spec. Going forward, Vector will use that Go SDK as the reference implementation, which means the codec may continue to relax the enforcement of specification.
`influxdb`	Decodes the raw bytes as an Influxdb Line Protocol message.
`json`	Decodes the raw bytes as JSON.
`native`	Decodes the raw bytes as native Protocol Buffers format. This codec is experimental.
`native_json`	Decodes the raw bytes as native JSON format. This codec is experimental.
`protobuf`	Decodes the raw bytes as protobuf.
`syslog`	Decodes the raw bytes as a Syslog message. Decodes either as the RFC 3164-style format (“old” style) or the RFC 5424-style format (“new” style, includes structured data).
`vrl`	Decodes the raw bytes as a string and passes them as input to a VRL program.

optional string literal

message type. e.g package.message

decoding.syslog

optional object

Syslog-specific decoding options.

Relevant when: codec = "syslog"

decoding.syslog.lossy

optional bool

Determines whether or not to replace invalid UTF-8 sequences instead of failing.

When true, invalid UTF-8 sequences are replaced with the U+FFFD REPLACEMENT CHARACTER.

default: true

decoding.vrl

required object

VRL-specific decoding options.

Relevant when: codec = "vrl"

decoding.vrl.source

required string literal

The Vector Remap Language (VRL) program to execute for each event. Note that the final contents of the . target will be used as the decoding result. Compilation error or use of ‘abort’ in a program will result in a decoding error.

decoding.vrl.timezone

optional string literal

The name of the timezone to apply to timestamp conversions that do not contain an explicit time zone. The time zone name may be any name in the TZ database, or local to indicate system local time.

If not set, local will be used.

Examples

"local"

"America/New_York"

"EST5EDT"

framing

optional object

Framing configuration.

Framing handles how events are separated when encoded in a raw byte form, where each event is a frame that must be prefixed, or delimited, in a way that marks where an event begins and ends within the byte stream.

framing.character_delimited

required object

Options for the character delimited decoder.

Relevant when: method = "character_delimited"

framing.character_delimited.delimiter

required ascii_char

The character that delimits byte sequences.

framing.character_delimited.max_length

optional uint

The maximum length of the byte buffer.

This length does not include the trailing delimiter.

By default, there is no maximum length enforced. If events are malformed, this can lead to additional resource usage as events continue to be buffered in memory, and can potentially lead to memory exhaustion in extreme cases.

If there is a risk of processing malformed data, such as logs with user-controlled input, consider setting the maximum length to a reasonably large value as a safety net. This ensures that processing is not actually unbounded.

framing.chunked_gelf

optional object

Options for the chunked GELF decoder.

Relevant when: method = "chunked_gelf"

framing.chunked_gelf.decompression

optional string literal enum

Decompression configuration for GELF messages.

Enum options

Option	Description
`Auto`	Automatically detect the decompression method based on the magic bytes of the message.
`Gzip`	Use Gzip decompression.
`None`	Do not decompress the message.
`Zlib`	Use Zlib decompression.

default: Auto

framing.chunked_gelf.max_length

optional uint

The maximum length of a single GELF message, in bytes. Messages longer than this length will be dropped. If this option is not set, the decoder does not limit the length of messages and the per-message memory is unbounded.

Note that a message can be composed of multiple chunks and this limit is applied to the whole message, not to individual chunks.

This limit takes only into account the message’s payload and the GELF header bytes are excluded from the calculation. The message’s payload is the concatenation of all the chunks’ payloads.

framing.chunked_gelf.pending_messages_limit

optional uint

The maximum number of pending incomplete messages. If this limit is reached, the decoder starts dropping chunks of new messages, ensuring the memory usage of the decoder’s state is bounded. If this option is not set, the decoder does not limit the number of pending messages and the memory usage of its messages buffer can grow unbounded. This matches Graylog Server’s behavior.

framing.chunked_gelf.timeout_secs

optional float

The timeout, in seconds, for a message to be fully received. If the timeout is reached, the decoder drops all the received chunks of the timed out message.

default: 5

framing.length_delimited

required object

Options for the length delimited decoder.

Relevant when: method = "length_delimited"

framing.length_delimited.length_field_is_big_endian

optional bool

Length field byte order (little or big endian)

default: true

framing.length_delimited.length_field_length

optional uint

Number of bytes representing the field length

default: 4

framing.length_delimited.length_field_offset

optional uint

Number of bytes in the header before the length field

framing.length_delimited.max_frame_length

optional uint

Maximum frame length

default: 8.388608e+06

framing.method

optional string literal enum

The framing method.

Enum options

Option	Description
`bytes`	Byte frames are passed through as-is according to the underlying I/O boundaries (for example, split between messages or stream segments).
`character_delimited`	Byte frames which are delimited by a chosen character.
`chunked_gelf`	Byte frames which are chunked GELF messages.
`length_delimited`	Byte frames which are prefixed by an unsigned big-endian 32-bit integer indicating the length.
`newline_delimited`	Byte frames which are delimited by a newline character.
`octet_counting`	Byte frames according to the octet counting format.

default: bytes

framing.newline_delimited

optional object

Options for the newline delimited decoder.

Relevant when: method = "newline_delimited"

framing.newline_delimited.max_length

optional uint

The maximum length of the byte buffer.

This length does not include the trailing delimiter.

framing.octet_counting

optional object

Options for the octet counting decoder.

Relevant when: method = "octet_counting"

framing.octet_counting.max_length

optional uint

The maximum length of the byte buffer.

keepalive

optional object

Configuration of HTTP server keepalive parameters.

keepalive.max_connection_age_jitter_factor

optional float

The factor by which to jitter the max_connection_age_secs value.

A value of 0.1 means that the actual duration will be between 90% and 110% of the specified maximum duration.

default: 0.1

keepalive.max_connection_age_secs

optional uint

The maximum amount of time a connection may exist before it is closed by sending a Connection: close header on the HTTP response. Set this to a large value like 100000000 to “disable” this feature

Only applies to HTTP/0.9, HTTP/1.0, and HTTP/1.1 requests.

A random jitter configured by max_connection_age_jitter_factor is added to the specified duration to spread out connection storms.

Examples

default: 300 (seconds)

record_compression

optional string literal enum

The compression scheme to use for decompressing records within the Firehose message.

Some services, like AWS CloudWatch Logs, compresses the events with gzip, before sending them AWS Kinesis Firehose. This option can be used to automatically decompress them before forwarding them to the next component.

Note that this is different from Content encoding option of the Firehose HTTP endpoint destination. That option controls the content encoding of the entire HTTP request.

Enum options string literal

Option Description

Option	Description
`auto`	Automatically attempt to determine the compression scheme. The compression scheme of the object is determined by looking at its file signature, also known as magic bytes. If the record fails to decompress with the discovered format, the record is forwarded as is. Thus, if you know the records are always gzip encoded (for example, if they are coming from AWS CloudWatch Logs), set `gzip` in this field so that any records that are not-gzipped are rejected.
`gzip`	GZIP.
`none`	Uncompressed.

auto

Automatically attempt to determine the compression scheme.

The compression scheme of the object is determined by looking at its file signature, also known as magic bytes.

If the record fails to decompress with the discovered format, the record is forwarded as is. Thus, if you know the records are always gzip encoded (for example, if they are coming from AWS CloudWatch Logs), set gzip in this field so that any records that are not-gzipped are rejected.

gzip GZIP.

none Uncompressed.

default: auto

store_access_key

required bool

Whether or not to store the AWS Firehose Access Key in event secrets.

If set to true, when incoming requests contains an access key sent by AWS Firehose, it is kept in the event secrets as “aws_kinesis_firehose_access_key”.

tls

optional object

Configures the TLS options for incoming/outgoing connections.

tls.alpn_protocols

optional [string]

Sets the list of supported ALPN protocols.

Declare the supported ALPN protocols, which are used during negotiation with peer. They are prioritized in the order that they are defined.

tls.ca_file

optional string literal

Absolute path to an additional CA certificate file.

The certificate must be in the DER or PEM (X.509) format. Additionally, the certificate can be provided as an inline string in PEM format.

Examples

"/path/to/certificate_authority.crt"

tls.crt_file

optional string literal

Absolute path to a certificate file used to identify this server.

The certificate must be in DER, PEM (X.509), or PKCS#12 format. Additionally, the certificate can be provided as an inline string in PEM format.

If this is set, and is not a PKCS#12 archive, key_file must also be set.

Examples

"/path/to/host_certificate.crt"

tls.enabled

optional bool

Whether or not to require TLS for incoming or outgoing connections.

When enabled and used for incoming connections, an identity certificate is also required. See tls.crt_file for more information.

tls.key_file

optional string literal

Absolute path to a private key file used to identify this server.

The key must be in DER or PEM (PKCS#8) format. Additionally, the key can be provided as an inline string in PEM format.

Examples

"/path/to/host_certificate.key"

tls.key_pass

optional string literal

Passphrase used to unlock the encrypted key file.

This has no effect unless key_file is set.

Examples

"${KEY_PASS_ENV_VAR}"

"PassWord1"

tls.server_name

optional string literal

Server name to use when using Server Name Indication (SNI).

Only relevant for outgoing connections.

Examples

"www.example.com"

tls.verify_certificate

optional bool

Enables certificate verification. For components that create a server, this requires that the client connections have a valid client certificate. For components that initiate requests, this validates that the upstream has a valid certificate.

If enabled, certificates must not be expired and must be issued by a trusted issuer. This verification operates in a hierarchical manner, checking that the leaf certificate (the certificate presented by the client/server) is not only valid, but that the issuer of that certificate is also valid, and so on until the verification process reaches a root certificate.

Do NOT set this to false unless you understand the risks of not verifying the validity of certificates.

tls.verify_hostname

optional bool

Enables hostname verification.

If enabled, the hostname used to connect to the remote host must be present in the TLS certificate presented by the remote host, either as the Common Name or as an entry in the Subject Alternative Name extension.

Only relevant for outgoing connections.

Do NOT set this to false unless you understand the risks of not verifying the remote hostname.

Outputs

<component_id>

Default output stream of the component. Use this component’s ID as an input to downstream transforms and sinks.

Output Data

Logs

Warning

The fields shown below will be different if log namespacing is enabled. See Log Namespacing for more details

Line

One event will be published per incoming AWS Kinesis Firehose record.

Fields

message required string literal

The raw record from the incoming payload.

Examples

Started GET / for 127.0.0.1 at 2012-03-10 14:28:14 +0100

request_id required string literal

The AWS Kinesis Firehose request ID, value of the X-Amz-Firehose-Request-Id header.

Examples

ed1d787c-b9e2-4631-92dc-8e7c9d26d804

source_arn required string literal

The AWS Kinesis Firehose delivery stream that issued the request, value of the X-Amz-Firehose-Source-Arn header.

Examples

arn:aws:firehose:us-east-1:111111111111:deliverystream/test

source_type required string literal

The name of the source type.

Examples

aws_kinesis_firehose

timestamp required timestamp

The exact time the event was ingested into Vector.

Examples

2020-10-10T17:07:36.452332Z

Telemetry

Metrics

link

component_discarded_events_total

counter

The number of events dropped by this component.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

intentional

True if the events were discarded intentionally, like a filter transform, or false if due to an error.

pid optional

The process ID of the Vector instance.

component_errors_total

counter

The total number of errors encountered by this component.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

error_type

The type of the error

host optional

The hostname of the system Vector is running on.

pid optional

The process ID of the Vector instance.

stage

The stage within the component at which the error occurred.

component_received_bytes_total

counter

The number of raw bytes accepted by this component from source origins.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

container_name optional

The name of the container from which the data originated.

file optional

The file from which the data originated.

host optional

The hostname of the system Vector is running on.

mode optional

The connection mode used by the component.

peer_addr optional

The IP from which the data originated.

peer_path optional

The pathname from which the data originated.

pid optional

The process ID of the Vector instance.

pod_name optional

The name of the pod from which the data originated.

uri optional

The sanitized URI from which the data originated.

component_received_event_bytes_total

counter

The number of event bytes accepted by this component either from tagged origins like file and uri, or cumulatively from other origins.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

container_name optional

The name of the container from which the data originated.

file optional

The file from which the data originated.

host optional

The hostname of the system Vector is running on.

mode optional

The connection mode used by the component.

peer_addr optional

The IP from which the data originated.

peer_path optional

The pathname from which the data originated.

pid optional

The process ID of the Vector instance.

pod_name optional

The name of the pod from which the data originated.

uri optional

The sanitized URI from which the data originated.

component_received_events_count

histogram

A histogram of the number of events passed in each internal batch in Vector’s internal topology.

Note that this is separate than sink-level batching. It is mostly useful for low level debugging performance issues in Vector due to small internal batches.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

container_name optional

The name of the container from which the data originated.

file optional

The file from which the data originated.

host optional

The hostname of the system Vector is running on.

mode optional

The connection mode used by the component.

peer_addr optional

The IP from which the data originated.

peer_path optional

The pathname from which the data originated.

pid optional

The process ID of the Vector instance.

pod_name optional

The name of the pod from which the data originated.

uri optional

The sanitized URI from which the data originated.

component_received_events_total

counter

The number of events accepted by this component either from tagged origins like file and uri, or cumulatively from other origins.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

container_name optional

The name of the container from which the data originated.

file optional

The file from which the data originated.

host optional

The hostname of the system Vector is running on.

mode optional

The connection mode used by the component.

peer_addr optional

The IP from which the data originated.

peer_path optional

The pathname from which the data originated.

pid optional

The process ID of the Vector instance.

pod_name optional

The name of the pod from which the data originated.

uri optional

The sanitized URI from which the data originated.

component_sent_event_bytes_total

counter

The total number of event bytes emitted by this component.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

output optional

The specific output of the component.

pid optional

The process ID of the Vector instance.

component_sent_events_total

counter

The total number of events emitted by this component.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

output optional

The specific output of the component.

pid optional

The process ID of the Vector instance.

http_server_handler_duration_seconds

histogram

The duration spent handling a HTTP request.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

method optional

The HTTP method of the request.

path

The path that produced the error.

pid optional

The process ID of the Vector instance.

status optional

The HTTP status code of the request.

http_server_requests_received_total

counter

The total number of HTTP requests received.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

method optional

The HTTP method of the request.

path

The path that produced the error.

pid optional

The process ID of the Vector instance.

http_server_responses_sent_total

counter

The total number of HTTP responses sent.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

method optional

The HTTP method of the request.

path

The path that produced the error.

pid optional

The process ID of the Vector instance.

status optional

The HTTP status code of the request.

source_lag_time_seconds

histogram

The difference between the timestamp recorded in each event and the time when it was ingested, expressed as fractional seconds.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_type

The Vector component type.

host optional

The hostname of the system Vector is running on.

pid optional

The process ID of the Vector instance.

Examples

AWS CloudWatch Subscription message

Given this event...

{
  "requestId": "ed1d787c-b9e2-4631-92dc-8e7c9d26d804",
  "timestamp": 1600110760138,
  "records": [
	{
	  "data": "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"
	}
  ]
}

...and this configuration...

sources:
  my_source_id:
    type: aws_kinesis_firehose
    address: 0.0.0.0:443

[sources.my_source_id]
type = "aws_kinesis_firehose"
address = "0.0.0.0:443"

{
  "sources": {
    "my_source_id": {
      "type": "aws_kinesis_firehose",
      "address": "0.0.0.0:443"
    }
  }
}

...this Vector event is produced:

[{"log":{"message":"{\"messageType\":\"DATA_MESSAGE\",\"owner\":\"111111111111\",\"logGroup\":\"test\",\"logStream\":\"test\",\"subscriptionFilters\":[\"Destination\"],\"logEvents\":[{\"id\":\"35683658089614582423604394983260738922885519999578275840\",\"timestamp\":1600110569039,\"message\":\"{\\\"bytes\\\":26780,\\\"datetime\\\":\\\"14/Sep/2020:11:45:41 -0400\\\",\\\"host\\\":\\\"157.130.216.193\\\",\\\"method\\\":\\\"PUT\\\",\\\"protocol\\\":\\\"HTTP/1.0\\\",\\\"referer\\\":\\\"https://www.principalcross-platform.io/markets/ubiquitous\\\",\\\"request\\\":\\\"/expedite/convergence\\\",\\\"source_type\\\":\\\"stdin\\\",\\\"status\\\":301,\\\"user-identifier\\\":\\\"-\\\"}\"},{\"id\":\"35683658089659183914001456229543810359430816722590236673\",\"timestamp\":1600110569041,\"message\":\"{\\\"bytes\\\":17707,\\\"datetime\\\":\\\"14/Sep/2020:11:45:41 -0400\\\",\\\"host\\\":\\\"109.81.244.252\\\",\\\"method\\\":\\\"GET\\\",\\\"protocol\\\":\\\"HTTP/2.0\\\",\\\"referer\\\":\\\"http://www.investormission-critical.io/24/7/vortals\\\",\\\"request\\\":\\\"/scale/functionalities/optimize\\\",\\\"source_type\\\":\\\"stdin\\\",\\\"status\\\":502,\\\"user-identifier\\\":\\\"feeney1708\\\"}\"}]}","request_id":"ed1d787c-b9e2-4631-92dc-8e7c9d26d804","source_arn":"arn:aws:firehose:us-east-1:111111111111:deliverystream/test","source_type":"aws_kinesis_firehose","timestamp":"2020-09-14T19:12:40.138Z"}}]

How it works

Context

By default, the aws_kinesis_firehose source augments events with helpful context keys.

State

This component is stateless, meaning its behavior is consistent across each input.

Forwarding CloudWatch Log events

This source is the recommended way to ingest logs from AWS CloudWatch logs via AWS CloudWatch Log subscriptions. To set this up:

Deploy vector with a publicly exposed HTTP endpoint using this source. You will likely also want to use the parse_aws_cloudwatch_log_subscription_message function to extract the log events. Make sure to set the access_keys to secure this endpoint. Your configuration might look something like:

 [sources.firehose]
 # General
 type = "aws_kinesis_firehose"
 address = "127.0.0.1:9000"
 access_keys = ["secret"]

 [transforms.cloudwatch]
 type = "remap"
 inputs = ["firehose"]
 drop_on_error = false
 source = '''
 parsed = parse_aws_cloudwatch_log_subscription_message!(.message)
 . = unnest(parsed.log_events)
 . = map_values(.) -> |value| {
   event = del(value.log_events)
   value |= event
   message = string!(del(.message))
   merge(value, object!(parse_json!(message)))
 }
 '''

 [sinks.console]
 type = "console"
 inputs = ["cloudwatch"]
 encoding.codec = "json"

Create a Kinesis Firehose delivery stream in the region where the CloudWatch Logs groups exist that you want to ingest.
Set the stream to forward to your Vector instance via its HTTP Endpoint destination. Make sure to configure the same access_keys you set earlier.
Setup a CloudWatch Logs subscription to forward the events to your delivery stream

Transport Layer Security (TLS)

Vector uses OpenSSL for TLS protocols due to OpenSSL’s maturity. You can enable and adjust TLS behavior via the tls.* options and/or via an OpenSSL configuration file. The file location defaults to /usr/local/ssl/openssl.cnf or can be specified with the OPENSSL_CONF environment variable.