GCP Cloud Storage (GCS) sink

Configuration

Example configurations

{
  "sinks": {
    "my_sink_id": {
      "type": "gcp_cloud_storage",
      "inputs": [
        "my-source-or-transform-id"
      ],
      "bucket": "my-bucket",
      "credentials_path": "/path/to/credentials.json",
      "key_prefix": "date=%F/",
      "acknowledgements": null,
      "compression": "none",
      "encoding": {
        "codec": "json"
      },
      "healthcheck": null
    }
  }
}

[sinks.my_sink_id]
type = "gcp_cloud_storage"
inputs = [ "my-source-or-transform-id" ]
bucket = "my-bucket"
credentials_path = "/path/to/credentials.json"
key_prefix = "date=%F/"
compression = "none"

  [sinks.my_sink_id.encoding]
  codec = "json"

---
sinks:
  my_sink_id:
    type: gcp_cloud_storage
    inputs:
      - my-source-or-transform-id
    bucket: my-bucket
    credentials_path: /path/to/credentials.json
    key_prefix: date=%F/
    acknowledgements: null
    compression: none
    encoding:
      codec: json
    healthcheck: null

{
  "sinks": {
    "my_sink_id": {
      "type": "gcp_cloud_storage",
      "inputs": [
        "my-source-or-transform-id"
      ],
      "acl": "authenticated-read",
      "api_key": "${GCP_API_KEY}",
      "bucket": "my-bucket",
      "credentials_path": "/path/to/credentials.json",
      "filename_append_uuid": true,
      "filename_extension": "log",
      "filename_time_format": "%s",
      "key_prefix": "date=%F/",
      "metadata": null,
      "buffer": null,
      "acknowledgements": null,
      "batch": null,
      "compression": "none",
      "encoding": {
        "codec": "json"
      },
      "healthcheck": null,
      "request": null,
      "tls": null,
      "proxy": null,
      "framing": null,
      "storage_class": "STANDARD"
    }
  }
}

[sinks.my_sink_id]
type = "gcp_cloud_storage"
inputs = [ "my-source-or-transform-id" ]
acl = "authenticated-read"
api_key = "${GCP_API_KEY}"
bucket = "my-bucket"
credentials_path = "/path/to/credentials.json"
filename_append_uuid = true
filename_extension = "log"
filename_time_format = "%s"
key_prefix = "date=%F/"
compression = "none"
storage_class = "STANDARD"

  [sinks.my_sink_id.encoding]
  codec = "json"

---
sinks:
  my_sink_id:
    type: gcp_cloud_storage
    inputs:
      - my-source-or-transform-id
    acl: authenticated-read
    api_key: ${GCP_API_KEY}
    bucket: my-bucket
    credentials_path: /path/to/credentials.json
    filename_append_uuid: true
    filename_extension: log
    filename_time_format: "%s"
    key_prefix: date=%F/
    metadata: null
    buffer: null
    acknowledgements: null
    batch: null
    compression: none
    encoding:
      codec: json
    healthcheck: null
    request: null
    tls: null
    proxy: null
    framing: null
    storage_class: STANDARD

acknowledgements

common optional object

Controls how acknowledgements are handled by this sink. When enabled, all connected sources that support end-to-end acknowledgements will wait for the destination of this sink to acknowledge receipt of events before providing acknowledgement to the sending source. These settings override the global acknowledgement settings.

acknowledgements.enabled

common optional bool

Controls if all connected sources will wait for this sink to deliver the events before acknowledging receipt.

default: false

acl

optional string literal enum

Predefined ACL to apply to the created objects. For more information, see Predefined ACLs. If this is not set, GCS will apply a default ACL when the object is created.

Enum options string literal

Option	Description
`authenticated-read`	Gives the bucket or object owner OWNER permission, and gives all authenticated Google account holders READER permission.
`bucket-owner-full-control`	Gives the object and bucket owners OWNER permission.
`bucket-owner-read`	Gives the object owner OWNER permission, and gives the bucket owner READER permission.
`private`	Gives the bucket or object owner OWNER permission for a bucket or object.
`project-private`	Gives permission to the project team based on their roles. Anyone who is part of the team has READER permission. Project owners and project editors have OWNER permission. This the default.
`public-read`	Gives the bucket or object owner OWNER permission, and gives all users, both authenticated and anonymous, READER permission. When you apply this to an object, anyone on the Internet can read the object without authenticating.

api_key

optional string literal

A Google Cloud API key used to authenticate access the pubsub project and topic. Either this or credentials_path must be set.

Examples

"${GCP_API_KEY}"

"ef8d5de700e7989468166c40fc8a0ccd"

batch

optional object

Configures the sink batching behavior.

batch.max_bytes

common optional uint

The maximum size of a batch that will be processed by a sink. This is based on the uncompressed size of the batched events, before they are serialized / compressed.

batch.max_events

common optional uint

The maximum size of a batch, in events, before it is flushed.

batch.timeout_secs

common optional float

The maximum age of a batch before it is flushed.

default: 300 (seconds)

bucket

required string literal

The GCS bucket name.

Examples

"my-bucket"

buffer

optional object

Configures the sink specific buffer behavior.

More information about the individual buffer types, and buffer behavior, can be found in the Buffering Model section.

buffer.max_events

common optional uint

The maximum number of events allowed in the buffer.

Relevant when: type = "memory"

default: 500 (events)

buffer.max_size

required uint

The maximum size of the buffer on the disk. Must be at least ~256 megabytes (268435488 bytes).

Relevant when: type = "disk"

Examples

268435488

buffer.type

common optional string literal enum

The type of buffer to use.

Enum options

Option Description

Option	Description
`disk`	Events are buffered on disk. This is less performant, but more durable. Data that has been synchronized to disk will not be lost if Vector is restarted forcefully or crashes. Data is synchronized to disk every 500ms.
`memory`	Events are buffered in memory. This is more performant, but less durable. Data will be lost if Vector is restarted forcefully or crashes.

disk

Events are buffered on disk.

This is less performant, but more durable. Data that has been synchronized to disk will not be lost if Vector is restarted forcefully or crashes.

Data is synchronized to disk every 500ms.

memory

Events are buffered in memory.

This is more performant, but less durable. Data will be lost if Vector is restarted forcefully or crashes.

default: memory

buffer.when_full

optional string literal enum

The behavior when the buffer becomes full.

Enum options

Option Description

Option	Description
`block`	Waits for capacity in the buffer. This will cause backpressure to propagate to upstream components, which can cause data to pile up on the edge.
`drop_newest`	Drops the event without waiting for capacity in the buffer. The data is lost. This should only be used when performance is the highest priority.

block

Waits for capacity in the buffer.

This will cause backpressure to propagate to upstream components, which can cause data to pile up on the edge.

drop_newest

Drops the event without waiting for capacity in the buffer.

The data is lost. This should only be used when performance is the highest priority.

default: block

compression

common optional string literal enum

The compression strategy used to compress the encoded event data before transmission.

The default compression level of the chosen algorithm is used. Some cloud storage API clients and browsers will handle decompression transparently, so files may not always appear to be compressed depending how they are accessed.

Enum options string literal

Option	Description
`gzip`	Gzip standard DEFLATE compression. Compression level is `6` unless otherwise specified.

default: none

credentials_path

common optional string literal

The filename for a Google Cloud service account credentials JSON file used to authenticate access to the Cloud Storage API. If this is unset, Vector checks the GOOGLE_APPLICATION_CREDENTIALS environment variable for a filename.

If no filename is named, Vector will attempt to fetch an instance service account for the compute instance the program is running on. If Vector is not running on a GCE instance, you must define a credentials file as above.

Examples

"/path/to/credentials.json"

encoding

required object

Configures the encoding specific sink behavior.

encoding.codec

required string literal enum

The encoding codec used to serialize the events before outputting.

Enum options

Option	Description
`json`	JSON encoded event.
`text`	The message field from the event.

Examples

"json"

"text"

encoding.except_fields

optional [string]

Prevent the sink from encoding the specified fields.

encoding.only_fields

optional [string]

Makes the sink encode only the specified fields.

encoding.timestamp_format

optional string literal enum

How to format event timestamps.

Enum options

Option	Description
`rfc3339`	Formats as a RFC3339 string
`unix`	Formats as a unix timestamp

default: rfc3339

filename_append_uuid

optional bool

Whether or not to append a UUID v4 token to the end of the file. This ensures there are no name collisions high volume use cases.

default: true

filename_extension

optional string literal

The filename extension to use in the object name.

default: log

filename_time_format

optional string literal

The format of the resulting object file name. strftime specifiers are supported.

default: %s

framing

optional object

Configures in which way events encoded as byte frames should be separated in a payload.

framing.character_delimited

required object

Options for character_delimited framing.

Relevant when: method = `character_delimited`

framing.character_delimited.delimiter

required ascii_char

The character used to separate frames.

Examples

"\n"

"\t"

framing.method

common optional string literal enum

The framing method.

Enum options

Option	Description
`bytes`	Byte frames are concatenated.
`character_delimited`	Byte frames are delimited by a chosen character.
`length_delimited`	Byte frames are prefixed by an unsigned big-endian 32-bit integer indicating the length.
`newline_delimited`	Byte frames are delimited by a newline character.

default: A suitable default is chosen depending on the sink type and the selected codec.

healthcheck

common optional object

Health check options for the sink.

healthcheck.enabled

common optional bool

Enables/disables the healthcheck upon Vector boot.

default: true

inputs

required [string]

A list of upstream source or transform IDs. Wildcards (*) are supported.

See configuration for more info.

Array string literal

Examples

[
  "my-source-or-transform-id",
  "prefix-*"
]

key_prefix

common optional string template

A prefix to apply to all object key names. This should be used to partition your objects, and it’s important to end this value with a / if you want this to be the root GCS “folder”.

Note: This parameter supports Vector's template syntax, which enables you to use dynamic per-event values.

Examples

"date=%F/"

"date=%F/hour=%H/"

"year=%Y/month=%m/day=%d/"

"application_id={{ application_id }}/date=%F/"

default: date=%F/

metadata

optional string literal

The set of metadata key:value pairs for the created objects. See the GCS custom metadata documentation for more details.

proxy

optional object

Configures an HTTP(S) proxy for Vector to use. By default, the globally configured proxy is used.

proxy.enabled

optional bool

If false the proxy will be disabled.

default: true

proxy.http

optional string literal

The URL to proxy HTTP requests through.

Examples

"http://foo.bar:3128"

proxy.https

optional string literal

The URL to proxy HTTPS requests through.

Examples

"http://foo.bar:3128"

proxy.no_proxy

optional [string]

A list of hosts to avoid proxying. Allowed patterns here include:

Pattern	Example match
Domain names	`example.com` matches requests to `example.com`
Wildcard domains	`.example.com` matches requests to `example.com` and its subdomains
IP addresses	`127.0.0.1` matches requests to 127.0.0.1
CIDR blocks	`192.168.0.0./16` matches requests to any IP addresses in this range
Splat	`*` matches all hosts

request

optional object

Configures the sink request behavior.

request.adaptive_concurrency

optional object

Configure the adaptive concurrency algorithms. These values have been tuned by optimizing simulated results. In general you should not need to adjust these.

request.adaptive_concurrency.decrease_ratio

optional float

The fraction of the current value to set the new concurrency limit when decreasing the limit. Valid values are greater than 0 and less than 1. Smaller values cause the algorithm to scale back rapidly when latency increases. Note that the new limit is rounded down after applying this ratio.

default: 0.9

request.adaptive_concurrency.ewma_alpha

optional float

The adaptive concurrency algorithm uses an exponentially weighted moving average (EWMA) of past RTT measurements as a reference to compare with the current RTT. This value controls how heavily new measurements are weighted compared to older ones. Valid values are greater than 0 and less than 1. Smaller values cause this reference to adjust more slowly, which may be useful if a service has unusually high response variability.

default: 0.7

request.adaptive_concurrency.rtt_deviation_scale

optional float

When calculating the past RTT average, we also compute a secondary “deviation” value that indicates how variable those values are. We use that deviation when comparing the past RTT average to the current measurements, so we can ignore increases in RTT that are within an expected range. This factor is used to scale up the deviation to an appropriate range. Valid values are greater than or equal to 0, and we expect reasonable values to range from 1.0 to 3.0. Larger values cause the algorithm to ignore larger increases in the RTT.

default: 2

request.concurrency

common optional uint

The maximum number of in-flight requests allowed at any given time, or “adaptive” to allow Vector to automatically set the limit based on current network and service conditions.

request.rate_limit_duration_secs

common optional uint

The time window, in seconds, used for the rate_limit_num option.

default: 1 (seconds)

request.rate_limit_num

common optional uint

The maximum number of requests allowed within the rate_limit_duration_secs time window.

default: 1000

request.retry_attempts

optional uint

The maximum number of retries to make for failed requests. The default, for all intents and purposes, represents an infinite number of retries.

default: 1.8446744073709552e+19

request.retry_initial_backoff_secs

optional uint

The amount of time to wait before attempting the first retry for a failed request. Once, the first retry has failed the fibonacci sequence will be used to select future backoffs.

default: 1 (seconds)

request.retry_max_duration_secs

optional uint

The maximum amount of time, in seconds, to wait between retries.

default: 3600 (seconds)

request.timeout_secs

common optional uint

The maximum time a request can take before being aborted. It is highly recommended that you do not lower this value below the service’s internal timeout, as this could create orphaned requests, pile on retries, and result in duplicate data downstream.

default: 60 (seconds)

storage_class

optional string literal enum

The storage class for the created objects. See the GCP storage classes for more details.

Enum options string literal

Option	Description
`ARCHIVE`	Archive Storage is the lowest-cost, highly durable storage service for data archiving, online backup, and disaster recovery.
`COLDLINE`	Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data.
`NEARLINE`	Nearline Storage is a low-cost, highly durable storage service for storing infrequently accessed data.
`STANDARD`	Standard Storage is best for data that is frequently accessed and/or stored for only brief periods of time. This is the default.

tls

optional object

Configures the TLS options for outgoing connections.

tls.alpn_protocols

optional [string]

Sets the list of supported ALPN protocols, which are used during negotiation with peer. Prioritized in the order they are defined.

tls.ca_file

optional string literal

Absolute path to an additional CA certificate file, in DER or PEM format (X.509), or an inline CA certificate in PEM format.

Examples

"/path/to/certificate_authority.crt"

tls.crt_file

common optional string literal

Absolute path to a certificate file used to identify this connection, in DER or PEM format (X.509) or PKCS#12, or an inline certificate 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.key_file

common optional string literal

Absolute path to a private key file used to identify this connection, in DER or PEM format (PKCS#8), or an inline private key in PEM format. If this is set, crt_file must also be set.

Examples

"/path/to/host_certificate.key"

tls.key_pass

optional string literal

Pass phrase used to unlock the encrypted key file. This has no effect unless key_file is set.

Examples

"${KEY_PASS_ENV_VAR}"

"PassWord1"

tls.verify_certificate

optional bool

If true (the default), Vector will validate the TLS certificate of the remote host. Specifically the issuer is checked but not CRLs (Certificate Revocation Lists).

default: true

tls.verify_hostname

optional bool

If true (the default), Vector will validate the configured remote host name against the remote host’s TLS certificate. Do NOT set this to false unless you understand the risks of not verifying the remote hostname.

default: true

Environment variables

GOOGLE_APPLICATION_CREDENTIALS

common optional string literal

The filename for a Google Cloud service account credentials JSON file used for authentication.

Examples

/path/to/credentials.json

Telemetry

Metrics

link

buffer_byte_size

gauge

The number of bytes current in the buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_discarded_events_total

counter

The number of events dropped by this non-blocking buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_events

gauge

The number of events currently in the buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_received_event_bytes_total

counter

The number of bytes received by this buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_received_events_total

counter

The number of events received by this buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_sent_event_bytes_total

counter

The number of bytes sent by this buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

buffer_sent_events_total

counter

The number of events sent by this buffer.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

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_name

Deprecated, use component_id instead. The value is the same as component_id.

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_name

Deprecated, use component_id instead. The value is the same as component_id.

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_name

Deprecated, use component_id instead. The value is the same as component_id.

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_name

Deprecated, use component_id instead. The value is the same as component_id.

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_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

events_discarded_total

counter

The total number of events discarded by this component.

host optional

The hostname of the system Vector is running on.

pid optional

The process ID of the Vector instance.

reason

The type of the error

events_in_total

counter

The number of events accepted by this component either from tagged origins like file and uri, or cumulatively from other origins. This metric is deprecated and will be removed in a future version. Use component_received_events_total instead.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

processing_errors_total

counter

The total number of processing errors encountered by this component. This metric is deprecated in favor of component_errors_total.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

utilization

gauge

A ratio from 0 to 1 of the load on a component. A value of 0 would indicate a completely idle component that is simply waiting for input. A value of 1 would indicate a that is never idle. This value is updated every 5 seconds.

component_id

The Vector component ID.

component_kind

The Vector component kind.

component_name

Deprecated, use component_id instead. The value is the same as component_id.

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.

Permissions

Platform: Google Cloud Platform

Relevant policies

Policy	Required for	Required when
`storage.objects.create`	`operation`
`storage.objects.get`	`healthcheck`

How it works

Buffers and batches

This component buffers & batches data as shown in the diagram above. You’ll notice that Vector treats these concepts differently, instead of treating them as global concepts, Vector treats them as sink specific concepts. This isolates sinks, ensuring services disruptions are contained and delivery guarantees are honored.

Batches are flushed when 1 of 2 conditions are met:

The batch age meets or exceeds the configured timeout_secs.
The batch size meets or exceeds the configured max_bytes or max_events.

Buffers are controlled via the buffer.* options.

GCP Authentication

GCP offers a variety of authentication methods and Vector is concerned with the server to server methods and will find credentials in the following order:

If the credentials_path option is set.
If the api_key option is set.
If the GOOGLE_APPLICATION_CREDENTIALS environment variable is set.
Finally, Vector will check for an instance service account.

If credentials aren’t found, Vector’s health checks fail and an error is logged.

Health checks

Health checks ensure that the downstream service is accessible and ready to accept data. This check is performed upon sink initialization. If the health check fails an error will be logged and Vector will proceed to start.

Require health checks

If you’d like to exit immediately upon a health check failure, you can pass the --require-healthy flag:

vector --config /etc/vector/vector.toml --require-healthy

Disable health checks

If you’d like to disable health checks for this sink you can set the healthcheck option to false.

Object access control list (ACL)

GCP Cloud Storage supports access control lists (ACL) for buckets and objects. In the context of Vector, only object ACLs are relevant (Vector does not create or modify buckets). You can set the object level ACL by using the acl option, which allows you to set one of the predefined ACLs on each created object.

Object naming

By default, Vector names your GCS objects in accordance with one of two formats.

If compression is enabled, this format is used:

key_prefix><timestamp>-<uuidv4>.log.gz

Here’s an example name in the compression-enabled format:

date=2019-06-18/1560886634-fddd7a0e-fad9-4f7e-9bce-00ae5debc563.log.gz

If compression is not enabled, this format is used:

<key_prefix><timestamp>-<uuidv4>.log

Here’s an example name in the compression-disabled format:

date=2019-06-18/1560886634-fddd7a0e-fad9-4f7e-9bce-00ae5debc563.log

Vector appends a UUIDV4 token to ensure there are no name conflicts in the unlikely event that two Vector instances are writing data at the same time.

You can control the resulting name via the key_prefix, filename_time_format, and filename_append_uuid options.

Partitioning

Vector supports dynamic configuration values through a simple template syntax. If an option supports templating, it will be noted with a badge and you can use event fields to create dynamic values. For example:

[sinks.my-sink]
dynamic_option = "application={{ application_id }}"

In the above example, the application_id for each event will be used to partition outgoing data.

Rate limits & adaptive concurrency

Adaptive Request Concurrency (ARC)

Adaptive Request Concurrency is a feature of Vector that does away with static concurrency limits and automatically optimizes HTTP concurrency based on downstream service responses. The underlying mechanism is a feedback loop inspired by TCP congestion control algorithms. Checkout the announcement blog post,

We highly recommend enabling this feature as it improves performance and reliability of Vector and the systems it communicates with. As such, we have made it the default, and no further configuration is required.

Static concurrency

If Adaptive Request Concurrency is not for you, you can manually set static concurrency limits by specifying an integer for request.concurrency:

[sinks.my-sink]
  request.concurrency = 10

Rate limits

In addition to limiting request concurrency, you can also limit the overall request throughput via the request.rate_limit_duration_secs and request.rate_limit_num options.

[sinks.my-sink]
  request.rate_limit_duration_secs = 1
  request.rate_limit_num = 10

These will apply to both adaptive and fixed request.concurrency values.

Retry policy

Vector will retry failed requests (status == 429, >= 500, and != 501). Other responses will not be retried. You can control the number of retry attempts and backoff rate with the request.retry_attempts and request.retry_backoff_secs options.

State

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

Storage Class

GCS offers storage classes. You can apply defaults, and rules, at the bucket level or set the storage class at the object level. In the context of Vector only the object level is relevant (Vector does not create or modify buckets). You can set the storage class via the storage_class option.

Tags & Metadata

Vector supports adding custom metadata to created objects. These metadata items are a way of associating extra data items with the object that are not part of the uploaded data.

Transport Layer Security (TLS)

Vector uses OpenSSL for TLS protocols due to OpenSSL’s maturity. You can enable and adjust TLS behavior using the tls.* options.