Back to source plugin

Export from Tailscale to S3

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Tailscale plugin allows you to sync data from Tailscale to any destination, including S3. It takes only minutes to get started.

Tailscale
tailscale
Official
Premium

Tailscale

The CloudQuery Tailscale plugin pulls configuration out of Tailscale resources and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v4.2.2

Type

Source

Platforms
Date Published

Feb 27, 2024

Price per 1M rows

$100

free quota

1M rows

S3
s3
Official

S3

This destination plugin lets you sync data from a CloudQuery source to remote S3 storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.0.0

Type

Destination

Platforms
Date Published

Feb 27, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure Tailscale source plugin

You can find more information about the configuration in the plugin documentation

kind: source
# Common source-plugin configuration
spec:
  name: tailscale
  path: cloudquery/tailscale
  registry: cloudquery
  version: "v4.2.2"
  tables: ["*"]
  destinations: ["s3"]

  # plugin specific configuration
  spec:
    # required
    client_id: "${TAILSCALE_CLIENT_ID}"
    # required
    client_secret: "${TAILSCALE_CLIENT_SECRET}"
    # required
    tailnet: "${TAILSCALE_TAILNET}"
    # optional parameters
    # api_key: <API_KEY> # not recommended to use this, but can be used instead of client_id & client_secret
    # endpoint_url: "<YOUR_BASE_URL>"
    # concurrency: 20000

Step 4. Configure S3 destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "s3"
  path: "cloudquery/s3"
  registry: "cloudquery"
  version: "v5.0.0"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    region: "region-name" # Example: us-east-1
    path: "path/to/files/{{TABLE}}/{{UUID}}.parquet"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # athena: false # <- set this to true for Athena compatibility
    # test_write: true # tests the ability to write to the bucket before processing the data
    # endpoint: "" # Endpoint to use for S3 API calls.
    # endpoint_skip_tls_verify # Disable TLS verification if using an untrusted certificate
    # use_path_style: false
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s # 30 seconds

Step 5. Run Sync

cloudquery sync tailscale.yml s3.yml
Subscribe to product updates

Be the first to know about new features.