Supported Tools

The following sections describe some common, supported, third-party tools with sample configuration files.

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NOTE

This topic contains examples that could be helpful for your environment. Review these examples carefully because some configuration and special cases might be required to meet your specific use-case. Links to documentation are provided before each example.

FluentD

FluentD is an open-source data collector that can help to unify data collection and consumption. It attempts to unify the file formats by structuring data in JSON format as much as possible. More information is available at:

https://github.com/GoogleCloudPlatform/fluent-plugin-google-cloud
https://cloud.google.com/logging/docs/agent/logging/configuration#cloud-fluentd-config

A sample FluentD configuration file for GCP Cloud Storage and a ChaosSearch implementation follows:

<match pattern>
  @type google_cloud
</match>

Cloudflare Logs via LogPusher

Cloudflare Enterprise provides very detailed logs to customers for all types of troubleshooting and investigation. Typically Cloudflare Enterprise users push their request or event logs to their cloud service storage using Logpush, which can be configured from the Cloudflare dashboard or API. More information is available at:

https://developers.cloudflare.com/logs/analytics-integrations/google-cloud

Fastly - Log Streaming

Fastly has a Log Streaming feature that allows you to automatically save logs to a third-party service for storage and analysis. More information is available at:

https://docs.fastly.com/en/guides/log-streaming-google-cloud-storage

Vector

Vector is a tool that can collect, transform, and route your logs and metrics to your cloud storage. More information is available at:

https://vector.dev/docs/reference/configuration/sinks/gcp_cloud_storage/
https://vector.dev/guides/integrate/sinks/gcp_cloud_storage/

A sample Vector configuration file for pushing logs to GCP Cloud Storage follows:

[sinks.my_sink_id]
  # REQUIRED - General
  type = "gcp_cloud_storage"
  inputs = ["my-source-id"]
  bucket = "my-bucket"

  # OPTIONAL - General
  healthcheck = true # default
  hostname = "127.0.0.0:5000"

  # OPTIONAL - Batching
  batch_size = 10490000 # default, bytes
  batch_timeout = 300 # default, seconds

  # OPTIONAL - Object Names
  filename_append_uuid = true # default
  filename_extension = "log" # default
  filename_time_format = "%s" # default
  key_prefix = "date=%F/"

  # OPTIONAL - Requests
  compression = "gzip" # no default, must be: "gzip" (if supplied)
  encoding = "ndjson" # no default, enum: "ndjson" or "text"
  gzip = false # default
  rate_limit_duration = 1 # default, seconds
  rate_limit_num = 5 # default
  request_in_flight_limit = 5 # default
  request_timeout_secs = 30 # default, seconds
  retry_attempts = 5 # default
  retry_backoff_secs = 5 # default, seconds

  # OPTIONAL - Buffer
  [sinks.my_sink_id.buffer]
    type = "memory" # default, enum: "memory" or "disk"
    when_full = "block" # default, enum: "block" or "drop_newest"
    max_size = 104900000 # no default, bytes, relevant when type = "disk"
    num_items = 500 # default, events, relevant when type = "memory"